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se
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s
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Satellite c
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s
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C
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s
p
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A
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r
:
Alex
an
d
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Vlad
im
ir
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v
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Stri
zh
ac
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en
k
o
,
Dep
ar
tm
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f
B
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d
I
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m
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T
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n
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Natio
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Un
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Ph
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Str.
,
Kh
ar
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Uk
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ain
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E
m
ail: a
.
s
tr
izh
ac
h
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k
o
@
g
m
ai
l.c
o
m
1.
I
NT
RO
D
UCT
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O
N
Mic
r
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wav
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f
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s
f
o
r
v
ar
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s
p
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s
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ar
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wid
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u
s
ed
in
r
ad
io
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d
telec
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m
u
n
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s
,
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ad
ar
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r
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g
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al
u
s
e,
m
ea
s
u
r
in
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eq
u
ip
m
e
n
t
[
1]
–
[
9
]
.
I
n
f
o
r
m
atio
n
tr
an
s
f
er
is
ca
r
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ied
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th
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h
telep
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k
s
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ter
d
ata
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etwo
r
k
s
,
s
atellite
co
m
m
u
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s
y
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tem
s
,
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llu
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m
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s
y
s
tem
s
.
T
h
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g
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o
wth
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i
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f
o
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m
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f
l
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eq
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eq
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f
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1
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1
5
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W
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[
1
6
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[
1
9
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ha
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I
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At
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[
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[
1
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b
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an
s
m
it
h
ig
h
p
o
we
r
(
m
o
r
e
th
a
n
1
0
0
watts
in
u
n
in
ter
r
u
p
ted
m
o
d
e
)
.
A
d
is
tin
ctiv
e
f
ea
tu
r
e
o
f
th
e
p
r
o
p
o
s
ed
f
ilter
s
is
a
h
ig
h
in
tr
in
s
ic
q
u
ality
f
ac
to
r
(
>
2
0
,
0
0
0
)
,
a
r
ar
e
s
p
ec
tr
u
m
o
f
p
ar
asit
ic
r
eso
n
a
n
ce
s
,
h
ig
h
t
h
e
s
lo
p
e
s
teep
n
ess
o
f
a
m
p
litu
d
e
-
f
r
e
q
u
en
c
y
ch
ar
ac
ter
is
tics
,
an
d
also
h
ig
h
m
an
u
f
ac
tu
r
ab
ilit
y
in
th
e
ce
n
tim
eter
r
an
g
e
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
p
r
o
p
o
s
ed
h
ig
h
-
q
u
ality
wav
eg
u
id
e
-
d
ielec
tr
ic
r
eso
n
ato
r
is
m
ad
e
o
n
th
e
b
asis
o
f
a
leu
co
s
ap
p
h
ir
e
in
s
er
t
in
th
e
u
ltra
b
o
u
n
d
a
r
y
w
av
eg
u
id
e
f
o
r
th
e
wav
e
Н
10
.
At
th
e
s
am
e
tim
e,
th
is
s
eg
m
en
t
o
f
a
r
ec
tan
g
u
lar
wav
eg
u
id
e
with
a
d
ielec
tr
ic
is
n
o
t
u
ltra
b
o
u
n
d
ar
y
f
o
r
s
o
m
e
o
r
th
o
g
o
n
al
o
s
cillatio
n
s
.
T
h
e
d
esig
n
o
f
s
u
c
h
a
s
y
s
tem
(
Fig
u
r
es
1
,
2
an
d
3
)
is
a
s
eg
m
en
t
o
f
a
s
tan
d
a
r
d
wa
v
e
g
u
id
e
with
a
cr
o
s
s
s
ec
tio
n
,
b
u
t
r
o
tated
a
r
o
u
n
d
th
e
lo
n
g
itu
d
in
al
ax
is
o
f
th
e
wav
eg
u
id
e
b
y
9
0
d
eg
r
ee
s
(
Fig
u
r
e
1
)
.
A
m
o
n
o
cr
y
s
tallin
e
in
s
e
r
t
(
o
n
e
o
r
m
o
r
e)
is
in
s
talled
in
th
e
ce
n
te
r
o
f
th
is
s
eg
m
en
t
o
f
a
r
ec
tan
g
u
lar
wav
eg
u
id
e.
C
o
n
n
ec
tio
n
with
th
e
b
r
in
g
in
g
wav
eg
u
id
e
d
u
ct
is
d
o
n
e
b
y
d
o
ck
in
g
it
with
a
s
eg
m
en
t
o
f
a
r
ec
tan
g
u
lar
wav
eg
u
id
e
s
o
th
at
th
eir
lo
n
g
it
u
d
in
al
ax
es
c
o
in
cid
e
,
an
d
th
e
wid
e
walls
o
f
th
e
w
av
eg
u
id
e
s
eg
m
e
n
t
with
th
e
d
ielec
tr
ic
ar
e
p
ar
allel
to
th
e
n
ar
r
o
w
walls
o
f
th
e
b
r
in
g
in
g
wav
eg
u
id
e
d
u
ct.
B
y
tu
r
n
in
g
th
e
r
eso
n
ato
r
t
h
r
o
u
g
h
9
0
d
eg
r
ee
,
r
elativ
ely
t
o
th
e
wav
eg
u
id
e
H
-
p
lan
e
(
Fig
u
r
e
1
)
,
th
e
Q
-
f
ac
to
r
ca
n
b
e
s
ig
n
if
ican
tly
i
n
cr
ea
s
ed
as
co
m
p
a
r
ed
with
w
av
eg
u
id
e
-
d
ielec
tr
ic
r
eso
n
at
o
r
s
f
o
r
wh
ich
t
h
e
Q
-
f
ac
to
r
is
5
,
0
0
0
[
1
0
]
–
[
1
3
]
,
[
1
6
]
,
[
1
7
]
.
T
h
is
is
d
u
e
to
th
e
f
ac
t
th
at
th
e
elec
tr
ic
f
ield
n
ea
r
th
e
m
etal
is
"d
r
awn
"
in
to
th
e
d
ielec
tr
ic.
T
h
at,
in
t
u
r
n
,
m
a
k
es
it
p
o
s
s
ib
le
to
r
ed
u
ce
th
e
a
v
er
ag
e
lo
s
s
p
o
wer
in
th
e
m
etal
walls
o
f
th
e
r
eso
n
ato
r
.
Su
c
h
a
f
ilter
s
atis
f
ies
co
n
tr
ad
icto
r
y
r
eq
u
ir
em
en
ts
:
it
co
m
b
in
es
n
ar
r
o
w
b
a
n
d
wid
t
h
(
≈
0
.
1
%
o
f
ce
n
te
r
f
r
eq
u
e
n
cy
f
0
)
with
lo
w
p
ass
b
an
d
in
s
er
tio
n
lo
s
s
0
(
0
≤
1
d
B
)
.
Fig
u
r
e
4
s
h
o
ws
th
e
am
p
litu
d
e
-
f
r
eq
u
en
cy
ch
ar
ac
ter
is
tic
(
AFC
)
f
o
r
th
e
s
in
g
le
-
s
ec
tio
n
f
ilter
(
1
)
an
d
f
o
r
t
h
e
two
-
s
ec
tio
n
f
ilter
(
2
)
(
th
at
wer
e
m
ea
s
u
r
ed
o
n
a
C4
-
6
0
s
p
ec
tr
u
m
an
aly
ze
r
)
.
T
h
e
two
-
s
ec
tio
n
f
ilter
(
Fig
u
r
e
3
)
d
if
f
er
s
f
r
o
m
a
s
in
g
le
s
ec
ti
o
n
f
ilter
(
Fig
u
re
2
)
in
th
at
it
h
as
two
s
im
ilar
d
ielec
tr
i
c
s
am
p
les
an
d
th
e
len
g
th
L
is
1
2
m
m
lo
n
g
er
(
L
=
4
2
m
m
)
th
an
th
e
len
g
th
o
f
th
e
s
in
g
le
-
s
ec
tio
n
f
ilter
(
L
=
3
0
m
m
)
.
An
im
p
o
r
tan
t
f
ilter
ch
a
r
ac
ter
is
tic
is
th
e
s
q
u
ar
en
ess
co
e
f
f
icien
t
(
o
r
t
h
e
s
lo
p
e
s
teep
n
ess
o
f
am
p
litu
d
e
-
f
r
eq
u
e
n
cy
ch
a
r
ac
ter
is
tics
)
–
th
e
r
atio
o
f
t
h
e
b
a
n
d
wid
th
at
th
e
lev
el
to
th
e
b
an
d
wid
th
at
th
e
m
i
n
im
u
m
lo
s
s
lev
el
0
.
As
k
n
o
wn
th
e
s
lo
p
e
s
t
ee
p
n
ess
o
f
am
p
litu
d
e
-
f
r
eq
u
e
n
cy
ch
ar
ac
ter
is
tic
d
eter
m
in
es
th
e
n
o
is
e
im
m
u
n
ity
an
d
p
ac
k
in
g
d
en
s
ity
o
f
ch
an
n
els
d
u
r
in
g
r
ec
ep
tio
n
a
n
d
tr
an
s
m
is
s
io
n
o
f
in
f
o
r
m
atio
n
.
T
h
e
s
q
u
a
r
en
ess
co
ef
f
icien
t
o
f
th
e
d
e
v
elo
p
ed
tw
o
s
ec
tio
n
f
ilter
is
−
40
=
1
.
85
(
Fig
u
r
e
4
)
.
T
h
is
co
ef
f
icien
t
co
r
r
esp
o
n
d
s
to
th
e
s
q
u
ar
en
ess
co
ef
f
icien
t
o
f
a
f
iv
e
s
ec
tio
n
f
ilter
b
ased
o
n
t
h
e
tr
ad
itio
n
al
W
DR
[
1
0
]
,
[
1
1
]
,
[
1
6
]
.
T
h
is
will
r
ed
u
ce
th
e
m
ass
an
d
s
iz
e
o
f
th
e
wav
e
g
u
id
e
-
d
ielec
tr
ic
f
ilter
s
at
least
h
alf
.
Als
o
,
th
e
s
q
u
a
r
en
ess
co
ef
f
icien
t
o
f
th
e
d
e
v
elo
p
ed
two
s
ec
tio
n
f
ilter
is
1
.
3
-
1
.
8
tim
es
b
etter
t
h
an
th
e
s
q
u
a
r
en
ess
co
ef
f
icien
t
o
f
m
icr
o
s
tr
ip
f
ilter
s
with
th
e
s
am
e
p
ass
b
an
d
[
1
]
,
[
3
]
,
[
7
]
.
B
esid
es
th
e
lo
s
s
es
in
t
h
e
p
ass
b
an
d
0
f
o
r
th
e
m
icr
o
s
tr
ip
f
ilter
s
ar
e
-
2
.
5
-
3
d
B
[
7
]
.
Fig
u
r
e
1
.
T
h
e
d
esig
n
o
f
a
two
-
s
ec
tio
n
f
ilter
Fig
u
r
e
2
.
Sin
g
le
-
s
ec
tio
n
f
ilter
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2252
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8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
10
,
No
.
3
,
Dec
em
b
er
20
2
1
:
198
–
2
0
3
200
Fig
u
r
e
3
.
T
wo
s
ec
tio
n
s
f
ilter
Fig
u
r
e
4
.
AFC
f
o
r
th
e
s
in
g
le
s
ec
tio
n
f
ilter
T
h
e
m
ain
ch
a
r
ac
ter
is
tics
o
f
th
e
f
ilter
s
:
-
R
eso
n
an
t f
r
eq
u
e
n
cy
f
0
,
MH
z
8500
-
Pas
s
b
an
d
(
o
n
1
d
B
lev
el)
,
MH
z
9
.
5
-
I
n
itial lo
s
s
es α
0
,
d
B
≈
0
.
9
-
Ou
t
-
of
-
b
a
n
d
s
u
p
p
r
ess
io
n
:
-
f
o
r
two
-
r
eso
n
ato
r
f
ilter
,
d
B
25
-
f
o
r
th
r
ee
-
r
eso
n
at
o
r
f
ilter
,
dB
40
-
Fre
q
u
en
cy
i
n
s
tab
ilit
y
in
th
e
-
tem
p
er
atu
r
e
r
a
n
g
e
-
50
–
+6
5
o
C
,
MH
z
±2
-
Ma
s
s
,
g
≈100
-
Dielec
tr
ic
leu
co
s
ap
p
h
ir
e
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
I
n
th
is
p
ap
e
r
,
th
e
is
s
u
e
o
f
th
e
tech
n
o
lo
g
ical
ef
f
ec
tiv
en
ess
i
n
th
e
m
ass
p
r
o
d
u
ctio
n
o
f
s
u
c
h
f
ilter
s
is
in
v
esti
g
ated
:
in
f
lu
en
ce
o
f
th
e
s
tate
o
f
th
e
wa
v
eg
u
id
e
s
u
r
f
ac
es
an
d
t
h
e
d
ielec
tr
ic
in
s
er
t,
th
e
ch
o
ice
o
f
co
n
s
tr
u
ctio
n
m
ater
ial,
as we
ll a
s
th
e
to
ler
an
ce
s
an
d
a
d
ju
s
tm
en
t.
T
h
e
in
f
lu
en
ce
o
f
th
e
m
ater
ial
o
f
th
e
s
tr
u
ctu
r
e
o
n
th
e
r
eso
n
an
t
wav
elen
g
th
(
)
an
d
it’s
in
t
r
in
s
ic
-
f
ac
to
r
(
0
)
.
T
h
e
co
m
p
ar
is
o
n
HQ
W
DR
s
b
ased
o
n
t
h
e
b
r
ass
(
=1
.
5
7
10
7
S/m)
wav
eg
u
i
d
e
s
e
ctio
n
an
d
co
p
p
er
(
=5
.
9
7
10
7
S/m)
wav
eg
u
i
d
e
s
ec
tio
n
h
as
b
ee
n
p
er
f
o
r
m
ed
.
T
h
e
r
esu
lts
s
h
o
wed
th
at
th
e
m
ater
ial
o
f
t
h
e
wav
eg
u
id
e
s
ec
tio
n
h
as a
s
ig
n
if
ican
t im
p
a
ct
o
n
th
e
0
-
f
ac
to
r
(
0
=
1
3
5
0
0
f
o
r
th
e
b
r
ass
s
ec
tio
n
s
;
0
=
1
9
3
0
0
f
o
r
th
e
co
p
p
e
r
s
ec
tio
n
s
)
an
d
p
r
a
ctica
lly
d
o
es
n
o
t
af
f
ec
t
th
e
wav
elen
g
th
.
T
h
u
s
,
th
e
m
o
s
t
s
u
itab
le
m
ater
ials
o
f
wav
eg
u
id
e
s
ec
tio
n
s
ar
e
c
o
p
p
e
r
an
d
s
ilv
er
.
T
o
in
v
esti
g
ate
th
e
in
f
lu
e
n
ce
o
f
th
e
d
ielec
tr
ic,
in
s
er
t
m
ater
ia
l,
th
r
ee
in
s
er
ts
with
th
e
s
am
e
g
eo
m
etr
ic
d
im
en
s
io
n
s
h
a
v
e
b
ee
n
p
r
o
d
u
ce
d
.
I
n
s
er
ts
wer
e
m
ad
e
o
f
l
eu
co
s
ap
p
h
ir
e
(
=
9
.
2
-
1
1
.
6
,
=
5
10
-
6
[
2
0
]
)
,
cr
y
s
tallin
e
q
u
ar
tz
(
=
4
.
6
,
=
5
10
-
5
[
2
0
]
)
an
d
f
lu
o
r
o
p
last
ic
(
=
2
.
2
,
=
(2
-
3)
10
-
4
[
2
0
]
)
.
T
h
e
r
esu
lts
s
h
o
w
a
clea
r
d
e
p
en
d
e
n
ce
o
f
t
h
e
in
t
r
in
s
ic
0
-
f
ac
to
r
f
r
o
m
t
h
e
m
ater
ial
o
f
th
e
d
ielec
tr
ic
in
s
e
r
t
(
0
=5
0
9
0
f
o
r
f
lu
o
r
o
p
last
ic;
0
=9
7
4
0
f
o
r
c
r
y
s
tallin
e
q
u
ar
tz;
0
=2
1
6
0
0
f
o
r
le
u
co
s
ap
p
h
ir
e
)
.
T
h
e
r
ef
o
r
e
,
it
is
n
ec
ess
ar
y
to
s
elec
t sam
p
les f
r
o
m
cr
y
s
tallin
e
m
ater
ials
.
T
h
e
q
u
esti
o
n
o
f
th
e
to
ler
an
ce
in
f
lu
en
ce
o
n
t
h
e
r
eso
n
at
o
r
p
a
r
am
eter
s
in
th
e
p
r
o
ce
s
s
o
f
m
an
u
f
ac
tu
r
in
g
an
d
ass
em
b
lin
g
h
as b
ee
n
in
v
e
s
tig
ated
as we
ll.
T
h
e
m
ain
as
s
em
b
lin
g
o
f
th
e
f
ilter
was in
th
e
co
r
r
ec
t in
s
tallatio
n
o
f
th
e
d
ielec
tr
ic
in
s
er
t
in
to
th
e
wav
eg
u
i
d
e
s
ec
tio
n
.
A
s
y
m
m
etr
ical
ar
r
an
g
e
m
en
t
o
f
th
e
d
ielec
tr
ic
in
s
er
ts
with
r
esp
ec
t
to
th
e
s
id
e
walls
o
f
th
e
wav
eg
u
id
e
an
d
f
lan
g
es
is
o
p
tim
u
m
f
o
r
o
b
tain
in
g
t
h
e
h
ig
h
est
p
er
f
o
r
m
an
ce
o
f
f
ilter
.
T
h
e
d
is
p
lace
m
en
t
(
L
)
o
f
th
e
in
s
er
t
r
elativ
e
to
its
s
y
m
m
etr
ic
p
o
s
itio
n
alo
n
g
th
e
r
eso
n
ato
r
len
g
th
(
L
)
(re
lativ
ely
to
t
h
e
f
lan
g
es)
wa
s
ca
r
r
ied
o
u
t
(
Fig
u
r
e
5
an
d
6
)
.
T
h
e
in
s
er
t
was
s
h
if
ted
an
d
co
n
tr
o
lled
with
a
watc
h
-
ty
p
e
p
o
s
itio
n
m
icr
o
m
et
er
with
an
ac
cu
r
ac
y
o
f
0
.
1
m
m
.
T
h
e
r
eso
n
a
n
ce
f
r
eq
u
en
cy
(
cu
r
v
e
1
o
n
Fig
u
r
e
5
)
,
th
e
h
alf
-
p
o
wer
b
an
d
wid
th
(
f
)
(
cu
r
v
e
2
,
Fig
u
r
e
5
)
,
HQ
r
eso
n
ato
r
lo
s
s
o
n
a
f
r
eq
u
e
n
cy
o
f
r
eso
n
an
ce
(
Fig
u
r
e
6
,
cu
r
v
e
1
)
a
n
d
Q
v
alu
es
o
f
th
e
r
eso
n
ato
r
(
cu
r
v
e
2
,
Fig
u
r
e
6
)
wer
e
m
o
n
ito
r
ed
.
I
t
ca
n
b
e
s
ee
n
f
r
o
m
th
e
d
ia
g
r
am
s
th
at
d
is
p
lace
m
en
t
o
f
th
e
d
ie
lectr
ic
s
am
p
le
f
r
o
m
th
e
ce
n
t
r
al
p
o
s
itio
n
alo
n
g
th
e
lo
n
g
it
u
d
in
al
ax
is
o
f
th
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
N
a
r
r
o
w
-
b
a
n
d
filt
er fo
r
s
a
tellit
e
co
mmu
n
ica
tio
n
s
ystems
(
A.
V.
S
tr
iz
h
a
ch
en
ko
)
201
r
eso
n
ato
r
f
o
r
a
d
is
tan
ce
to
1
m
m
d
o
es
n
o
t
ca
u
s
e
a
n
o
ticea
b
le
ch
a
n
g
e
i
n
th
e
b
a
n
d
wid
t
h
o
f
th
e
r
eso
n
at
o
r
,
r
eso
n
an
t w
av
elen
g
th
an
d
atten
u
atio
n
o
n
r
eso
n
a
n
t w
av
elen
g
th
.
T
h
e
d
is
p
lace
m
en
t o
f
th
e
d
ielec
tr
ic
in
s
er
ts
f
r
o
m
th
e
o
p
tim
al
p
o
s
itio
n
p
er
p
en
d
icu
lar
ly
to
th
e
lo
n
g
itu
d
in
al
ax
is
o
f
th
e
r
eso
n
ato
r
(
alo
n
g
th
e
d
im
en
s
io
n
b
)
was
in
v
esti
g
ated
.
T
h
e
d
iag
r
am
in
Fig
u
r
e
7
s
h
o
ws
th
e
d
ep
en
d
e
n
ce
o
f
t
h
e
r
eso
n
a
n
t
wav
elen
g
th
(
а
/
)
(
c
u
r
v
e
1
)
an
d
th
e
b
an
d
wid
t
h
(
cu
r
v
e
2
)
o
n
t
h
e
d
is
p
la
ce
m
en
t
o
f
th
e
d
ielec
tr
ic
i
n
s
er
t
alo
n
g
th
e
alo
n
g
t
h
e
wav
e
g
u
id
e
walls
(
b
)
.
T
h
e
d
iag
r
am
(
Fig
u
r
e
8
)
r
e
p
r
esen
ts
th
e
c
h
an
g
e
0
(
cu
r
v
e
2
)
,
th
e
lo
ad
ed
q
u
alit
y
f
ac
to
r
Q
l
(
c
u
r
v
e
3
)
an
d
th
e
in
tr
in
s
ic
q
u
ality
f
ac
to
r
Q
0
(
cu
r
v
e
1
)
o
f
th
e
r
eso
n
ato
r
.
Fig
u
r
e
5
.
Dep
e
n
d
en
ce
o
f
t
h
e
wav
elen
g
th
a/
an
d
p
ass
b
an
d
wid
th
f
o
n
th
e
d
is
p
l
ac
em
en
t
L
f
r
o
m
th
e
o
p
tim
al
p
o
s
itio
n
alo
n
g
th
e
r
eso
n
ato
r
len
g
th
L
Fig
u
r
e
6
.
Dep
e
n
d
en
ce
o
f
t
h
e
a
tten
u
atio
n
α
0
a
n
d
Q
v
alu
es o
f
th
e
r
eso
n
ato
r
o
n
th
e
d
is
p
lace
m
en
t
L
f
r
o
m
th
e
o
p
tim
al
p
o
s
itio
n
alo
n
g
t
h
e
r
eso
n
ato
r
len
g
th
Fig
u
r
e
7
.
Dep
e
n
d
en
ce
o
f
t
h
e
wav
elen
g
th
a/
(
cu
r
v
e
1
)
an
d
b
an
d
wid
th
f
(
c
u
r
v
e
2
)
o
n
b
(
alo
n
g
b
d
im
en
s
io
n
)
Fig
u
r
e
8
.
T
h
e
ch
a
n
g
e
0
(
cu
r
v
e
2
)
,
Q
0
(
cu
r
v
e
1
)
an
d
Q
l
(
cu
r
v
e
3
)
f
r
o
m
b
As
ca
n
b
e
s
ee
n
,
th
e
d
is
p
lace
m
en
t
o
f
th
e
d
ielec
tr
ic
in
s
er
ts
f
r
o
m
th
e
s
y
m
m
etr
ic
p
o
s
itio
n
alo
n
g
th
e
d
im
en
s
io
n
b
to
th
e
v
al
u
e
b
=
4
.
5
m
m
h
as littl
e
ef
f
ec
t o
n
th
e
r
eso
n
an
ce
wav
elen
g
t
h
,
b
an
d
w
id
th
,
an
d
Q
-
f
ac
t
o
r
.
Fu
r
th
er
d
is
p
lace
m
en
t
lead
s
t
o
a
in
cr
ea
s
e
o
f
in
itial
lo
s
s
0
(
b
y
ab
o
u
t
0
.
3
5
d
B
/m
m
)
an
d
d
ec
r
ea
s
e
o
f
th
e
r
eso
n
ato
r
in
tr
i
n
s
ic
Q
0
(
b
y
3
0
0
0
/m
m
)
.
Hen
ce
it
f
o
llo
ws
th
at
th
e
ef
f
ec
t
o
f
d
is
p
lace
m
en
t
o
f
th
e
d
ielec
tr
ic
in
s
er
t
to
war
d
s
th
e
s
id
e
walls o
f
th
e
wa
v
eg
u
id
e
is
in
s
ig
n
if
ican
t.
T
h
e
s
tu
d
ies ca
r
r
ied
o
u
t sh
o
w
t
h
at
th
e
d
ev
elo
p
ed
f
ilter
s
h
o
u
ld
b
e
tech
n
o
l
o
g
ically
ad
v
an
ce
d
d
u
r
in
g
s
er
ial
p
r
o
d
u
ctio
n
.
4.
CO
NCLU
SI
O
N
Mo
d
er
n
n
a
r
r
o
w
-
b
an
d
c
o
m
p
a
ct
f
ilter
,
b
ased
o
n
h
ig
h
-
q
u
ali
ty
wav
eg
u
id
e
-
d
ielec
tr
ic
r
eso
n
ato
r
with
an
is
o
tr
o
p
ic
m
ater
ials
was
d
e
s
ig
n
ed
.
T
h
e
d
esig
n
ed
f
ilter
s
atis
f
ies
co
n
tr
ad
icto
r
y
r
e
q
u
ir
e
m
en
ts
:
it
co
m
b
in
es
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2252
-
8
7
7
6
I
n
t J I
n
f
&
C
o
m
m
u
n
T
ec
h
n
o
l
,
Vo
l.
10
,
No
.
3
,
Dec
em
b
er
20
2
1
:
198
–
2
0
3
202
n
ar
r
o
w
b
an
d
wid
th
with
lo
w
p
ass
b
an
d
in
s
er
tio
n
lo
s
s
.
I
t
is
ac
h
iev
ed
b
y
in
c
r
ea
s
in
g
th
e
in
tr
in
s
ic
q
u
ality
f
ac
to
r
o
f
th
e
r
eso
n
ato
r
s
to
v
alu
es
o
f
2
0
,
0
0
0
a
n
d
m
o
r
e
in
th
e
3
-
ce
n
tim
eter
wav
e
r
an
g
e.
Su
c
h
a
h
ig
h
0
-
f
ac
to
r
as
co
m
p
ar
ed
with
tr
ad
itio
n
al
wa
v
eg
u
id
e
-
d
ielec
tr
ic
r
eso
n
ato
r
s
(
f
o
r
wh
ich
th
e
Q
-
f
ac
to
r
is
5
,
0
0
0
)
p
r
o
v
id
e
s
a
9
0
-
d
eg
r
ee
r
eso
n
at
o
r
tu
r
n
r
elativ
ely
to
th
e
H
-
p
lan
e
o
f
wav
e
g
u
id
e
an
d
th
e
u
s
e
o
f
m
o
n
o
c
r
y
s
tal
m
ater
ials
.
A
d
is
tin
ctiv
e
f
ea
tu
r
e
o
f
th
e
p
r
o
p
o
s
ed
f
ilter
s
is
a
h
ig
h
in
tr
in
s
ic
q
u
ality
f
ac
to
r
,
a
r
ar
e
s
p
ec
tr
u
m
o
f
p
ar
asit
ic
r
eso
n
an
ce
s
(
u
p
to
twice
th
e
o
p
er
atin
g
f
r
eq
u
en
cy
an
d
h
ig
h
e
r
)
,
a
h
ig
h
s
teep
n
ess
o
f
th
e
s
lo
p
es
o
f
th
e
am
p
litu
d
e
-
f
r
eq
u
e
n
cy
ch
a
r
ac
ter
is
tic,
an
d
a
ls
o
h
ig
h
m
an
u
f
ac
tu
r
a
b
ilit
y
in
t
h
e
3
-
ce
n
tim
eter
wav
e
r
an
g
e.
T
h
e
d
ev
el
o
p
ed
f
ilter
ca
n
b
e
u
s
ed
:
to
s
o
lv
e
th
e
elec
tr
o
m
ag
n
etic
c
o
m
p
atib
ilit
y
p
r
o
b
lem
s
an
d
co
m
p
ac
tio
n
o
f
in
f
o
r
m
atio
n
c
h
an
n
els
o
f
s
atellite
co
m
m
u
n
icatio
n
s
y
s
tem
s
an
d
tele
v
is
io
n
in
th
e
m
icr
o
wav
e
r
an
g
e;
in
m
icr
o
wav
e
g
e
n
er
ato
r
s
with
lo
w
n
o
is
e
lev
el;
in
m
i
cr
o
wav
e
r
ec
eiv
er
p
r
eselecto
r
s
;
an
d
in
m
ea
s
u
r
in
g
in
s
tr
u
m
en
tatio
n
.
RE
F
E
R
E
NC
E
S
[1
]
R.
J.
Ca
m
e
ro
n
,
C.
M
.
Ku
d
sia
,
a
n
d
R.
R.
M
a
n
so
u
r,
M
icr
o
w
a
v
e
fi
lt
e
rs
fo
r
c
o
mm
u
n
ica
ti
o
n
sy
ste
ms
:
Fu
n
d
a
me
n
t
a
ls
,
d
e
sig
n
a
n
d
a
p
p
li
c
a
t
io
n
s
.
Ho
b
o
k
e
n
,
NJ
,
USA:
J
o
h
n
Wi
ley
&
S
o
n
s,
In
c
.
,
2
0
1
8
.
[2
]
J.
R.
S
a
n
c
h
e
z
,
C.
Ba
c
h
i
ll
e
r,
M
.
J
u
li
a
,
V.
No
v
a
,
H.
Este
b
a
n
,
a
n
d
V.
E.
B
o
ria,
“
M
icr
o
wa
v
e
F
il
ter
Ba
se
d
o
n
S
u
b
stra
te
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8
7
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6
4
4
.
[3
]
J.
-
S
.
Ho
n
g
a
n
d
M
.
J.
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c
a
ste
r,
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o
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lt
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rs
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r
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.
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w
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rk
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n
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ley
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n
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c
.
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2
0
0
1
.
[4
]
Y.
S
.
M
a
k
imo
t
o
M
.
,
M
icr
o
w
a
v
e
Res
o
n
a
t
o
rs
a
n
d
Fi
lt
e
rs
Fo
r
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ire
les
s
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mm
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ica
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n
,
v
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l.
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.
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rl
in
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id
e
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e
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r
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r
li
n
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e
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g
,
2
0
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1
.
[5
]
T.
A.
S
h
e
ik
h
,
J.
Bo
ra
h
,
a
n
d
S
.
R
o
y
,
“
Ba
n
d
wi
d
th
Im
p
r
o
v
e
m
e
n
t
in
BP
F
u
si
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g
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strip
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n
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th
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ro
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e
n
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n
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si
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g
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icro
strip
Co
u
p
le l
in
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s,”
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0
1
4
,
n
o
.
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c
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m
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o
i:
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0
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1
3
1
4
0
/2
.
1
.
3
2
5
4
.
6
8
8
1
.
[6
]
B.
C.
Li
u
e
t
a
l.
,
“
A
n
HTS
2
0
-
p
o
l
e
m
icro
strip
fil
ter
f
o
r
G
S
M
-
1
8
0
0
b
a
se
sta
ti
o
n
s,”
J
o
u
r
n
a
l
o
f
S
u
p
e
rc
o
n
d
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c
ti
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n
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v
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l
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a
g
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ti
sm
,
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l.
1
6
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o
.
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,
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p
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9
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0
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1
0
2
3
/
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2
6
2
5
0
8
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7
6
5
6
.
[7
]
P
.
C.
o
f
S
.
P
.
C
o
m
p
a
n
y
,
“
M
icra
n
,
”
T
o
ms
k
,
Ru
ss
ia
.
2
0
1
8
,
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li
n
e
]
.
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il
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le:
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.
[8
]
J.
M
.
W
u
,
T.
Ba
i,
W.
Z.
Lu
,
F
.
Li
a
n
g
,
a
n
d
B.
L
u
o
,
“
No
v
e
l
c
o
m
p
a
c
t
in
terd
ig
it
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l
b
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n
d
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ss
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ters
with
m
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lt
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e
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ste
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imp
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d
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n
c
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re
so
n
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rs/f
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d
q
u
a
rter
-
wa
v
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len
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t
h
re
so
n
a
to
r
s,”
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y
En
g
in
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r
in
g
M
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ter
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ls
,
v
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l.
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4
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,
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p
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.
[9
]
A.
Zak
h
a
ro
v
a
n
d
M
.
Ilch
e
n
k
o
,
“
Tri
se
c
ti
o
n
m
icro
stri
p
d
e
lay
l
in
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fil
ter
wit
h
m
ix
e
d
c
r
o
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-
c
o
u
p
li
n
g
,
”
IEE
E
M
icr
o
wa
v
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a
n
d
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ire
les
s
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mp
o
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e
n
ts
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e
rs
,
v
o
l.
2
7
,
n
o
.
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2
,
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p
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1
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–
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,
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c
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2
0
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7
,
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1
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0
9
/
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0
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7
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7
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9
7
2
4
.
[1
0
]
H.
G
h
o
rb
a
n
in
e
jad
a
n
d
M
.
Kh
a
laj
-
Am
irh
o
ss
e
in
i,
“
Co
m
p
a
c
t
b
a
n
d
p
a
ss
fil
ters
u
ti
li
z
i
n
g
d
iele
c
tri
c
fil
led
wa
v
e
g
u
id
e
s,”
Pro
g
re
ss
In
El
e
c
tro
m
a
g
n
e
ti
c
s R
e
se
a
rc
h
B
,
v
o
l
.
7
,
p
p
.
1
0
5
–
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5
,
2
0
0
8
,
d
o
i:
1
0
.
2
5
2
8
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ierb
0
8
0
3
1
1
0
1
.
[1
1
]
A.
G
.
Yu
sh
c
h
e
n
k
o
a
n
d
D.
B.
M
a
m
e
d
o
v
,
“
Co
m
p
a
ra
ti
v
e
Ch
a
ra
c
teristics
o
f
Ba
n
d
p
a
ss
F
il
ters
Ba
se
d
o
n
WDR
a
n
d
M
icro
strip
Re
so
n
a
to
rs,”
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ic
En
g
i
n
e
e
rin
g
,
v
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l.
2
,
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o
.
2
,
p
p
.
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–
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0
,
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g
.
2
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2
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o
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1
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.
2
0
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2
0
2
0
2
.
0
2
.
[1
2
]
A.
P
o
n
s
-
Ab
e
n
z
a
e
t
a
l.
,
“
De
sig
n
a
n
d
imp
lem
e
n
tati
o
n
o
f
e
v
a
n
e
sc
e
n
t
m
o
d
e
wa
v
e
g
u
i
d
e
fil
ters
u
si
n
g
d
iele
c
tri
c
s
a
n
d
a
d
d
it
i
v
e
m
a
n
u
fa
c
tu
ri
n
g
tec
h
n
iq
u
e
s,”
AE
U
-
I
n
ter
n
a
t
io
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
tro
n
ics
a
n
d
Co
mm
u
n
ica
t
io
n
s
,
v
o
l.
1
1
6
,
p
.
1
5
3
0
6
5
,
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a
r.
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0
2
0
,
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o
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1
0
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j.
a
e
u
e
.
2
0
2
0
.
1
5
3
0
6
5
.
[1
3
]
I.
C.
Hu
n
ter
a
n
d
M
.
Y.
S
a
n
d
h
u
,
“
M
o
n
o
li
th
ic
in
teg
ra
ted
c
e
ra
m
ic
wa
v
e
g
u
id
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fil
ters
,
”
in
IE
EE
M
T
T
-
S
In
ter
n
a
ti
o
n
a
l
M
icr
o
wa
v
e
S
y
mp
o
siu
m Di
g
e
st
,
Ju
n
.
2
0
1
4
,
p
p
.
1
–
3
,
d
o
i:
1
0
.
1
1
0
9
/M
WS
YM.
2
0
1
4
.
6
8
4
8
2
9
9
.
[1
4
]
D.
D.
Tata
c
h
u
k
,
Y.
V
Did
e
n
k
o
,
V.
I.
M
o
lch
a
n
o
v
,
A.
S
.
F
ra
n
c
h
u
k
,
a
n
d
Y.
M
.
P
o
p
lav
k
o
,
“
Th
i
n
d
iele
c
tri
c
re
so
n
a
to
r
s
in
m
icro
wa
v
e
s,”
in
2
0
1
7
IEE
E
1
s
t
Uk
ra
in
e
Co
n
fer
e
n
c
e
o
n
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
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rin
g
,
UKRCON
2
0
1
7
-
Pro
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e
e
d
in
g
s
,
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a
y
2
0
1
7
,
p
p
.
4
5
–
5
0
,
d
o
i:
1
0
.
1
1
0
9
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N.2
0
1
7
.
8
1
0
0
5
1
7
.
[1
5
]
C.
To
m
a
ss
o
n
i,
S
.
Ba
stio
li
,
a
n
d
R.
V
S
n
y
d
e
r,
“
Co
m
p
a
c
t
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ix
e
d
-
m
o
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e
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ter
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se
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o
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iele
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tri
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m
o
d
e
,
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EE
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ra
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c
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n
s
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n
M
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e
o
ry
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n
d
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h
n
iq
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e
s
,
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l.
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4
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o
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2
,
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p
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4
4
3
4
–
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4
4
3
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c
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2
0
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6
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o
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0
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1
1
0
9
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M
TT
.
2
0
1
6
.
2
6
2
3
7
1
4
.
[1
6
]
A.
V
S
tr
izh
a
c
h
e
n
k
o
,
“
Dip
lex
e
r
o
n
c
y
l
in
d
rica
l
wa
v
e
g
u
id
e
wit
h
a
n
is
o
tro
p
ic
c
r
y
sta
l,
”
R
a
d
i
o
e
l
e
c
tro
n
ics
a
n
d
Co
mm
u
n
ica
ti
o
n
s S
y
ste
ms
,
v
o
l.
5
8
,
n
o
.
6
,
p
p
.
2
6
9
–
2
7
3
,
J
u
n
.
2
0
1
5
,
d
o
i:
1
0
.
3
1
0
3
/
S
0
7
3
5
2
7
2
7
1
5
0
6
0
0
4
7
.
[1
7
]
A.
V
S
tri
z
h
a
c
h
e
n
k
o
,
S
.
V
P
o
g
o
r
e
lo
v
,
S
.
N.
S
h
u
l
g
a
,
a
n
d
A.
A.
Z
v
y
a
g
i
n
tse
v
,
“
M
u
lt
i
-
se
c
ti
o
n
wa
v
e
g
u
i
d
e
d
ip
le
x
e
r,
”
T
e
lec
o
mm
u
n
ica
ti
o
n
s
a
n
d
R
a
d
i
o
En
g
i
n
e
e
rin
g
(
En
g
li
sh
tr
a
n
sl
a
ti
o
n
o
f
El
e
k
tro
sv
y
a
z
a
n
d
R
a
d
io
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h
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ik
a
)
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v
o
l.
7
8
,
n
o
.
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0
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p
.
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7
–
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3
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0
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9
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o
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0
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6
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5
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o
m
Ra
d
E
n
g
.
v
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8
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i
2
0
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4
0
.
[1
8
]
A.
V
S
tri
z
h
a
c
h
e
n
k
o
,
“
Ap
p
r
o
x
ima
te
3
D
m
o
d
e
l
o
f
e
lec
tro
m
a
g
n
e
ti
c
m
o
d
e
s
in
wa
v
e
g
u
i
d
e
c
ro
ss
-
sh
a
p
e
d
ju
n
c
t
io
n
s
with
d
iele
c
tri
c
fil
li
n
g
,
”
Ra
d
io
e
lec
tro
n
i
c
s
a
n
d
Co
mm
u
n
ica
ti
o
n
s
S
y
ste
ms
,
v
o
l.
6
0
,
n
o
.
1
2
,
p
p
.
5
6
2
–
5
6
8
,
D
e
c
.
2
0
1
7
,
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o
i:
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0
.
3
1
0
3
/
S
0
7
3
5
2
7
2
7
1
7
1
2
0
0
6
8
.
[1
9
]
A.
V
S
tri
z
h
a
c
h
e
n
k
o
,
“
El
e
c
tro
d
y
n
a
m
ica
l
m
o
d
e
l
o
f
c
o
m
p
o
site
c
y
li
n
d
rica
l
stru
c
t
u
re
wit
h
lam
in
a
ted
d
iele
c
tri
c
,
”
Ra
d
i
o
e
lec
tro
n
ics
a
n
d
C
o
mm
u
n
ica
ti
o
n
s
S
y
ste
ms
,
v
o
l
.
6
1
,
n
o
.
1
,
p
p
.
3
8
–
4
3
,
Ja
n
.
2
0
1
8
,
d
o
i:
1
0
.
3
1
0
3
/
S
0
7
3
5
2
7
2
7
1
8
0
1
0
0
5
3
.
[2
0
]
Y.
P
o
p
la
v
k
o
a
n
d
Y.
Ya
k
y
m
e
n
k
o
,
Fu
n
c
ti
o
n
a
l
d
iel
e
c
trics
fo
r
e
lec
t
ro
n
ics
:
Fu
n
d
a
me
n
ta
ls
o
f
c
o
n
v
e
rs
io
n
p
ro
p
e
rties
.
El
se
v
ier,
2
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J I
n
f
&
C
o
m
m
u
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T
ec
h
n
o
l
I
SS
N:
2252
-
8
7
7
6
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a
r
r
o
w
-
b
a
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d
filt
er fo
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s
a
tellit
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mmu
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tio
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s
ystems
(
A.
V.
S
tr
iz
h
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ch
en
ko
)
203
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
S
tr
izha
c
h
e
n
k
o
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x
a
n
d
e
r
Vla
d
i
m
iro
v
ich
,
Ra
d
i
o
p
h
y
sic
ist
,
Do
c
to
r
o
f
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h
y
sic
a
l
a
n
d
M
a
th
e
m
a
ti
c
a
l
S
c
ien
c
e
s
(2
0
1
4
),
P
ro
fe
ss
o
r
o
f
th
e
De
p
a
rtme
n
t
o
f
Bio
p
h
y
sic
s
a
n
d
I
n
fo
rm
a
ti
o
n
Tec
h
n
o
l
o
g
ies
,
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ti
o
n
a
l
Un
i
v
e
rsi
ty
o
f
P
h
a
rm
a
c
y
,
Kh
a
r
k
iv
,
Uk
ra
in
e
.
T
h
e
Are
a
o
f
S
c
ien
ti
f
ic
In
tere
st
is:
El
e
c
tro
d
y
n
a
m
ics
o
f
Co
m
p
lex
Wa
v
e
g
u
i
d
e
a
n
d
R
e
so
n
a
t
o
r
S
tr
u
c
tu
re
s
with
An
iso
tro
p
ic
F
il
li
n
g
;
N
o
n
-
De
stru
c
ti
v
e
M
e
a
su
re
m
e
n
ts
o
f
th
e
P
a
ra
m
e
ters
o
f
a
n
iso
tro
p
ic
M
a
teria
ls
i
n
t
h
e
M
icro
wa
v
e
Ra
n
g
e
;
De
sig
n
o
f
F
re
q
u
e
n
c
y
-
S
e
p
a
ra
ti
v
e
De
v
ice
s;
M
a
th
e
m
a
ti
c
a
l
M
o
d
e
li
n
g
o
f
Bio
lo
g
ica
l
Ob
jec
ts.
S
h
u
l
g
a
S
e
r
g
e
y
Nik
o
l
a
y
e
v
ich
,
R
a
d
io
p
h
y
sic
ist,
Do
c
t
o
r
o
f
P
h
y
sic
a
l
a
n
d
M
a
th
e
m
a
ti
c
a
l
S
c
ien
c
e
s
(2
0
0
6
),
P
r
o
fe
ss
o
r,
De
a
n
o
f
th
e
S
c
h
o
o
l
o
f
Ra
d
i
o
p
h
y
sic
s,
B
io
m
e
d
i
c
a
l
El
e
c
tro
n
ics
a
n
d
C
o
m
p
u
ter
S
y
ste
m
s,
V.
N.
Ka
ra
z
in
K
h
a
rk
i
v
Na
ti
o
n
a
l
U
n
iv
e
rsit
y
,
Kh
a
rk
i
v
,
Uk
ra
in
e
.
T
h
e
Are
a
o
f
S
c
ien
ti
fic
In
tere
sts
is:
Ultra
Wi
d
e
b
a
n
d
a
n
d
P
u
lse
d
An
te
n
n
a
s;
Th
e
o
re
ti
c
a
l
a
n
d
Co
m
p
u
tatio
n
a
l
M
e
th
o
d
s
fo
r
An
a
ly
sis
o
f
t
h
e
Co
m
p
lex
-
Co
m
p
o
siti
o
n
E
n
v
ir
o
n
m
e
n
ts;
Th
e
o
re
ti
c
a
l
a
n
d
E
x
p
e
rime
n
tal
Re
se
a
rc
h
o
f
M
e
tam
a
teria
ls;
De
v
e
lo
p
m
e
n
t
o
f
M
e
d
ica
l
Eq
u
ip
m
e
n
t
fo
r
M
a
g
n
e
t
o
c
a
r
d
io
g
ra
p
h
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.