T
E
L
KO
M
N
I
KA
T
e
lec
om
m
u
n
icat
ion
,
Com
p
u
t
i
n
g,
E
lec
t
r
on
ics
an
d
Cont
r
ol
Vol.
1
8
,
No.
3
,
J
une
2020
,
pp.
1145
~
1149
I
S
S
N:
1693
-
6930,
a
c
c
r
e
dit
e
d
F
ir
s
t
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r
a
de
by
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me
nr
is
tekdikti
,
De
c
r
e
e
No:
21/E
/KP
T
/2018
DO
I
:
10.
12928/
T
E
L
KO
M
NI
KA
.
v1
8
i
3
.
13929
1145
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s
s
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C
ompl
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menta
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s
pli
t
r
ing
r
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s
ona
tor
M
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tama
ter
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M
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os
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Th
i
s
i
s
a
n
o
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a
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n
d
e
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h
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CC
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Y
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SA
l
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ce
n
s
e
.
C
or
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s
pon
din
g
A
u
th
or
:
B
a
dr
Na
s
ir
i,
L
a
bor
a
tor
y
of
M
e
c
ha
nics
,
E
ne
r
ge
ti
c
s
,
E
lec
tr
onics
a
nd
T
e
lec
omm
unica
ti
ons
,
F
S
T
o
f
S
e
tt
a
t
,
Ha
s
s
a
n
F
ir
s
t
Unive
r
s
it
y
,
S
e
tt
a
t,
M
or
oc
c
o.
E
mail:
b
.
na
s
ir
i@uhp.
a
c
.
ma
1.
I
NT
RODU
C
T
I
ON
I
n
r
e
c
e
nt
ye
a
r
s
,
the
us
e
of
tele
c
omm
unica
ti
ons
a
nd
mobi
le
s
ys
tems
is
gr
owing
r
a
pidl
y
wor
ldwide
.
T
he
s
e
s
ys
tems
ha
ve
a
lr
e
a
dy
be
e
n
wide
ly
a
ppli
e
d
f
or
indus
tr
ial,
c
omm
e
r
c
ial,
r
e
s
idential
a
nd
m
il
it
a
r
y
pur
pos
e
s
.
How
e
ve
r
,
im
pr
oving
their
pe
r
f
or
manc
e
s
,
r
e
duc
i
ng
c
ompl
e
xit
ies
,
a
nd
c
os
t
of
de
s
ign
a
nd
manu
f
a
c
tur
ing
r
e
pr
e
s
e
nt
mainly
ke
y
e
leme
nts
a
s
pa
r
t
of
a
n
in
dus
tr
ial
pr
oc
e
s
s
f
or
e
quipm
e
nt
s
uppor
ti
ng
r
a
diof
r
e
que
nc
y
de
vice
s
[1
-
5
]
.
W
hich
pr
e
s
uppos
e
s
the
us
e
a
nd
i
mpl
e
menta
ti
on
of
tec
hniques
to
opti
mi
z
e
,
mi
niat
ur
ize
a
nd
im
pr
ove
the
mi
c
r
owa
ve
c
ir
c
uit
s
c
ons
ti
tut
ing
thes
e
s
ys
tems
to
e
ns
ur
e
e
xc
e
ll
e
nt
a
nd
pr
e
c
is
e
tr
a
ns
mi
s
s
ion
a
nd/or
r
e
c
e
pti
on
[
6
-
11
].
T
he
r
a
pid
de
ve
lopm
e
nt
a
nd
wide
s
pr
e
a
d
us
e
of
w
ir
e
les
s
c
omm
unica
ti
on
s
ys
tems
plac
e
s
e
ve
r
mor
e
s
tr
ingent
r
e
quir
e
ments
on
mi
c
r
owa
ve
f
il
ter
s
.
M
in
iatur
e
s
ize
,
high
pe
r
f
or
manc
e
,
ve
r
y
low
c
os
t
a
nd
e
a
s
e
of
int
e
gr
a
ti
on
with
other
r
a
dio
f
r
e
que
nc
y
c
ir
c
uit
s
a
r
e
a
ll
s
im
ult
a
ne
ous
ly
r
e
quir
e
d
whe
n
pr
op
os
ing
ne
w
a
p
pr
oa
c
he
s
to
de
s
igni
ng
ne
w
f
il
ter
s
tr
uc
tur
e
s
.
Among
the
mo
s
t
us
e
d
methods
f
or
de
s
igni
ng
ne
w
plana
r
f
il
ter
s
t
ha
t
mee
t
thes
e
r
e
quir
e
ments
,
we
f
ind
the
i
mpl
e
menta
ti
on
o
f
de
f
e
c
ts
in
the
gr
ound
plane
(
de
f
e
c
ted
gr
ound
s
t
r
uc
tur
e
)
,
f
r
a
c
tal
ge
ometr
y
a
nd
meta
mate
r
ials
[
12
-
18
].
I
n
thi
s
c
ontext,
thi
s
pa
pe
r
is
de
voted
to
the
c
onc
e
pti
on
of
a
ne
w
ba
nd
-
pa
s
s
f
il
ter
us
ing
plana
r
tec
hnology.
T
his
pr
opos
e
d
s
tr
uc
tu
r
e
is
c
ha
r
a
c
ter
iz
e
d
by
s
mall
a
nd
mi
niatur
e
s
ize
,
a
r
e
duc
e
d
p
r
oduc
t
ion
c
os
t,
a
nd
s
e
lec
ti
ve
f
r
e
que
nc
y
r
e
s
pons
e
s
.
T
he
s
e
c
r
it
e
r
ia
a
r
e
a
c
hieve
d
by
taking
a
dva
ntage
of
the
unus
ua
l
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
1693
-
6930
T
E
L
KO
M
NI
KA
T
e
lec
omm
un
C
omput
E
l
C
ontr
o
l
,
Vol.
1
8
,
No
.
3
,
J
une
2020:
1145
-
1149
1146
c
ha
r
a
c
ter
is
ti
c
s
of
the
meta
mate
r
ial
r
e
s
ona
tor
whic
h
is
s
tudi
e
d,
a
na
lyze
d,
us
e
d
a
nd
im
plem
e
nted
in
the
de
s
igned
c
ir
c
uit
.
2.
M
E
T
AM
A
T
E
R
I
AL
RE
S
ONAT
OR
Die
lec
tr
ic
pe
r
mi
tt
ivi
ty
ε
a
nd
magne
ti
c
pe
r
mea
bi
li
ty
μ
a
r
e
two
pa
r
a
mete
r
s
us
e
d
to
c
ha
r
a
c
ter
ize
the
e
lec
tr
ica
l
a
nd
magne
ti
c
pr
ope
r
t
ies
of
mate
r
ia
ls
[1
9
-
21
]
.
R
e
c
e
ntl
y,
Z
iol
kows
ki
ha
s
c
las
s
if
ied
mate
r
ials
a
c
c
or
ding
to
their
c
ons
ti
tuent
pa
r
a
mete
r
s
.
P
r
incip
a
ll
y,
mate
r
ials
in
na
tu
r
e
ha
ve
a
pos
it
ive
pe
r
mi
tt
i
vit
y
a
nd
pe
r
mea
bil
it
y.
T
he
r
e
f
or
e
,
they
a
r
e
ter
med
a
s
doub
le
-
pos
it
ive
mate
r
ials
.
On
the
other
ha
nd,
i
f
thes
e
two
q
ua
nti
ti
e
s
a
r
e
ne
ga
ti
ve
,
thes
e
mate
r
ials
a
r
e
de
s
c
r
ibed
a
s
doub
le
ne
ga
ti
ve
mate
r
ials
a
nd/or
lef
t
-
ha
nde
d
mate
r
ials
.
F
inally,
ma
ter
ials
with
only
one
ne
ga
ti
ve
pa
r
a
mete
r
a
r
e
na
med
s
ingl
e
-
ne
ga
ti
ve
a
nd
they
a
r
e
c
la
s
s
if
ied
int
o
two
s
ubc
a
tegor
ies
na
mely,
ε
-
ne
ga
ti
ve
mate
r
ials
or
μ
-
ne
ga
ti
ve
mate
r
ials
[
2
2]
.
T
he
medium
with
ne
ga
ti
ve
e
f
f
e
c
ti
ve
pe
r
mi
tt
ivi
ty
wa
s
f
ir
s
t
dis
c
ove
r
e
d
in
1998
by
J
.
P
e
ndr
y.
W
hich
us
e
d
a
n
a
r
r
a
y
o
f
pa
r
a
ll
e
l
or
iente
d
meta
l
wi
r
e
s
.
Af
t
e
r
thi
s
dis
c
ove
r
y
a
nd
mor
e
pr
e
c
is
e
ly
in
2004,
F
a
lc
one
e
t
a
l
ha
ve
pr
opos
e
d
a
nother
type
of
r
e
s
ona
tor
that
ge
n
e
r
a
tes
a
ne
ga
ti
ve
pe
r
mi
tt
ivi
ty
in
a
f
r
e
que
nc
y
ba
nd
a
nd
ha
s
a
n
e
lec
tr
ica
l
r
e
s
pons
e
.
T
his
r
e
s
ona
tor
is
a
c
ompl
e
menta
r
y
s
pli
t
r
ing
r
e
s
ona
tor
.
P
lana
r
meta
mate
r
ials
that
a
r
e
c
ompos
e
d
of
c
ompl
e
menta
r
y
s
tr
uc
tur
e
s
li
ke
C
S
R
R
ha
ve
be
e
n
wide
ly
us
e
d
in
the
de
s
ign
of
mi
c
r
owa
ve
c
omponents
to
a
c
hieve
c
ompa
c
t
a
nd
s
mall
a
ntenna
s
,
mi
niatur
e
f
i
lt
e
r
s
,
powe
r
divi
de
r
s
,
a
nd
other
r
a
diof
r
e
que
nc
y
de
vice
s
[
19
-
26]
.
B
a
s
ica
ll
y,
the
c
ha
r
a
c
ter
iza
ti
on
tec
hniques
of
meta
mate
r
ial
s
tr
uc
tur
e
s
a
r
e
ba
s
e
d
pr
im
a
r
il
y
on
r
e
s
ona
tor
S
-
pa
r
a
mete
r
s
.
Va
r
ious
tec
hnics
a
r
e
dis
c
ove
r
e
d
a
nd
de
ve
loped
to
c
ha
r
a
c
ter
ize
meta
mate
r
ials
.
I
n
t
his
pa
r
t,
Nic
ols
on
-
R
os
s
-
W
e
ir
method
is
us
e
d
be
c
a
us
e
of
it
s
a
c
c
ur
a
c
y
of
the
c
a
lcula
ti
on.
T
h
is
tec
hnique
is
b
a
s
e
d
on
the
be
low
f
or
mul
a
s
:
1
2
1
1
1
V
S
S
=+
(
1)
2
2
1
1
1
V
S
S
=−
(
2)
2
02
1
2
1
e
ff
V
jK
d
V
−
=
+
(
3)
1
01
1
2
1
e
ff
V
jK
d
V
−
=
+
(
4)
the
s
tr
uc
tur
e
is
plac
e
d
in
a
r
a
diation
box
in
or
de
r
t
o
e
xtr
a
c
t
the
va
lues
of
it
s
e
f
f
e
c
ti
ve
pa
r
a
mete
r
s
f
r
om
the
two
r
e
f
lec
ti
on
a
nd
tr
a
ns
mi
s
s
ion
c
oe
f
f
icie
nts
.
T
he
bound
a
r
y
c
ondit
ions
a
r
e
r
e
s
pe
c
ted.
F
igur
e
1
p
r
e
s
e
nts
meta
mate
r
ial
r
e
s
ona
tor
.
W
he
r
e
L
r
=
12
m
m,
W
r
=
10
mm
a
nd
g
=
2
mm
.
F
igur
e
2
s
hows
the
C
S
R
R
e
f
f
e
c
ti
ve
pe
r
mi
tt
ivi
ty
whic
h
ha
s
a
ne
ga
ti
ve
va
lue
f
r
om
2
.
5
GH
z
to
4
GH
z
.
F
igur
e
1.
C
S
R
R
F
igur
e
2
.
C
S
R
R
pe
r
mi
tt
ivi
ty
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NI
KA
T
e
lec
omm
un
C
omput
E
l
C
ontr
o
l
B
and
-
pas
s
fi
lt
e
r
bas
e
d
on
c
omple
me
ntar
y
s
pli
t
r
ing
r
e
s
onator
(
B
adr
N
as
ir
i
)
1147
3.
P
ROP
OS
E
D
B
AN
DP
ASS
F
I
L
T
E
R
T
he
de
s
ign
s
teps
of
the
ba
nd
-
pa
s
s
c
ir
c
uit
a
r
e
divi
de
d
int
o
thr
e
e
pa
r
ts
.
T
he
f
i
r
s
t
one
c
ons
is
ts
to
de
ve
lop
a
s
im
ple
a
nd
mi
niatu
r
e
mi
c
r
os
tr
ip
s
tr
uc
tur
e
c
ompo
und
of
one
low
-
im
pe
da
nc
e
s
e
c
ti
on
li
ne
s
e
pa
r
a
ted
by
a
tow
s
hor
t
s
e
c
ti
ons
li
ne
s
whic
h
a
r
e
c
onne
c
ted
to
both
modi
f
ied
ve
r
ti
c
a
l
5
0
f
e
e
d
li
ne
a
s
s
hown
in
F
igu
r
e
3
(
a
)
.
S
e
c
ondly,
s
o
a
s
to
pr
oduc
e
a
ba
ndpa
s
s
be
ha
vior
,
th
e
c
oupli
ng
tec
hnique
is
a
ppli
e
d
by
e
tching
a
ga
p
of
0.
2
mm
on
the
c
ir
c
uit
top
laye
r
,
mo
r
e
pr
e
c
is
e
ly
in
low
im
pe
da
nc
e
a
s
s
hown
in
the
F
igur
e
4
(
a
)
.
F
or
the
pu
r
pos
e
of
inv
e
s
ti
ga
ti
ng
the
e
f
f
e
c
t
o
f
the
ga
p,
the
s
tar
ti
ng
s
tr
uc
tur
e
,
the
de
s
igned
c
ir
c
uit
with
ga
p
a
nd
thei
r
s
i
mul
a
ti
on
r
e
s
ult
s
a
r
e
pr
e
s
e
nted
r
e
s
pe
c
ti
ve
ly
in
F
igu
r
e
s
3
a
nd
4.
I
t
is
plain
to
s
e
e
f
r
o
m
F
igur
e
4
(
b)
that
the
s
im
ulation
r
e
s
ult
s
o
f
the
t
r
a
ns
mi
s
s
ion
a
nd
r
e
f
lec
ti
on
c
oe
f
f
icie
nts
s
how
a
ba
nd
-
pa
s
s
be
ha
vior
f
r
o
m
5
.
6
GH
z
to
6.
4
GH
z
.
T
h
is
r
e
s
ult
c
onf
ir
ms
the
ga
p
in
f
luenc
e
.
How
e
ve
r
,
the
pa
s
s
-
ba
nd
c
ha
r
a
c
ter
ize
d
by
a
high
ins
e
r
ti
on
los
s
whic
h
de
c
r
e
a
s
e
the
t
r
a
ns
mi
s
s
ion
qua
li
ty.
W
it
h
r
e
f
e
r
e
nc
e
to
it
s
ope
r
a
ti
ng
f
r
e
que
nc
ies
,
we
c
a
n
not
s
a
y
that
thi
s
s
tr
uc
tur
e
ha
s
a
s
mall
s
ize
.
F
or
a
ll
thes
e
r
e
a
s
ons
,
the
meta
mate
r
ial
unit
c
e
ll
will
be
e
tche
d
i
n
the
gr
ound
plan
o
f
thi
s
c
i
r
c
uit
.
(
a
)
(
b)
F
igur
e
3
.
(
a
)
I
ni
ti
a
l
mi
c
r
os
tr
ip
s
tr
uc
tur
e
,
(
b
)
S
-
pa
r
a
mete
r
s
of
ini
t
ial
mi
c
r
os
tr
ip
s
tr
uc
tur
e
(
a
)
(
b)
F
igur
e
4
.
(
a
)
M
icr
os
tr
ip
s
tr
uc
tu
r
e
with
ga
p,
(
b)
S
-
pa
r
a
mete
r
s
of
mi
c
r
os
tr
ip
s
tr
uc
tur
e
with
ga
p
T
he
las
t
s
tage
o
f
the
de
s
ign
p
r
oc
e
dur
e
s
is
the
i
mpl
e
menta
ti
on
of
the
c
ompl
e
menta
r
y
s
pli
t
r
ing
r
e
s
ona
tor
in
the
s
tr
uc
tur
e
bott
om
laye
r
in
o
r
de
r
to
incr
e
a
s
e
the
t
r
a
ns
mi
s
s
ion
a
nd
r
e
jec
ti
on
qua
li
ty
.
M
or
e
ove
r
,
to
a
c
hieve
pa
s
s
-
ba
nd
on
the
lowe
r
f
r
e
que
nc
ies
.
T
he
F
igur
e
s
5
a
nd
6
s
how
r
e
s
pe
c
ti
ve
ly
the
bott
om
laye
r
o
f
the
f
inal
de
s
igned
mi
c
r
os
tr
ip
ba
ndpa
s
s
f
il
ter
a
nd
i
ts
s
im
ulation
r
e
s
ult
s
.
T
he
ge
ne
r
a
l
s
tr
uc
tur
e
o
f
thi
s
f
il
ter
is
ve
r
y
s
im
ple,
whic
h
r
e
duc
e
s
the
f
a
br
ica
ti
on
e
r
r
o
r
s
.
F
ur
ther
mor
e
,
the
f
inal
s
im
ulation
r
e
s
ult
s
s
how
a
g
ood
pa
s
s
ba
nd
f
r
om
2
.
8
GH
z
to
5
.
3
GH
z
with
f
r
a
c
ti
ona
l
ba
ndwidth
is
e
qua
l
to
62%
a
nd
i
t
ha
s
a
n
e
xc
e
ll
e
nt
r
e
tur
n
los
s
a
nd
ins
e
r
ti
on
los
s
whic
h
e
ns
ur
e
s
a
ve
r
y
high
tr
a
ns
mi
s
s
ion
qua
li
ty
in
thi
s
f
r
e
que
nc
y
r
a
nge
.
On
the
ot
he
r
ha
nd,
a
n
e
xc
e
ll
e
nt
r
e
jec
ti
on
leve
l
is
r
e
a
c
he
d
in
the
f
ir
s
t
a
nd
s
e
c
ond
s
top
ba
nd.
All
thes
e
obtaine
d
f
e
a
tur
e
s
in
ter
m
of
s
ize
a
nd
e
le
c
tr
ica
l
pe
r
f
or
manc
e
s
a
ll
ow
us
to
s
a
y
that
thi
s
f
il
ter
is
a
good
c
hoice
f
o
r
many
a
ppli
c
a
ti
ons
s
uc
h
a
s
I
M
T
-
E
a
nd
W
iM
a
x.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
S
N
:
1693
-
6930
T
E
L
KO
M
NI
KA
T
e
lec
omm
un
C
omput
E
l
C
ontr
o
l
,
Vol.
1
8
,
No
.
3
,
J
une
2020:
1145
-
1149
1148
21
0
%
ff
FBW
f
−
=
(
5)
f
0:
C
e
nter
pa
s
s
-
ba
nd
f
r
e
que
nc
y.
f
1:
L
ow
pa
s
s
-
ba
nd
f
r
e
que
nc
y.
f
2:
High
pa
s
s
-
ba
nd
f
r
e
que
nc
y.
F
igur
e
5
.
B
ott
om
laye
r
of
the
f
inal
B
P
F
F
igur
e
6
.
S
-
pa
r
a
mete
r
s
of
the
pr
opos
e
d
B
P
F
T
his
inves
ti
ga
ti
on
is
pe
r
f
o
r
med
s
o
a
s
to
ve
r
if
y
th
e
c
ir
c
uit
e
lec
tr
ica
l
pe
r
f
or
manc
e
s
in
the
r
e
jec
ted
b
a
nd
a
nd
de
s
ir
e
d
f
r
e
que
nc
y
r
a
nge
.
As
mi
ght
be
s
e
e
n
f
r
om
F
igur
e
7
(
a
)
,
the
ba
nd
-
pa
s
s
f
il
ter
a
ll
ows
the
tr
a
ns
mi
s
s
ion
of
the
r
a
diof
r
e
que
nc
y
powe
r
f
r
om
the
input
-
por
t
to
th
e
output
-
por
t
.
B
ut
in
the
F
ig
ur
e
7
(
b)
,
we
obs
e
r
ve
that
thi
s
powe
r
is
blocke
d
in
the
mi
ddle
of
the
pr
op
os
e
d
c
ir
c
uit
whic
h
mea
ns
ther
e
is
no
tr
a
ns
mi
s
s
ion
of
the
r
a
diof
r
e
que
nc
y
powe
r
.
(
a
)
(
b)
F
igur
e
7
.
(
a
)
S
im
ulate
d
s
ur
f
a
c
e
c
ur
r
e
nt
in
the
pa
s
s
ba
nd,
(
b
)
S
im
u
late
d
s
ur
f
a
c
e
c
ur
r
e
nt
in
the
s
top
ba
n
d
4.
CONC
L
USI
ON
T
his
wor
k
pr
e
s
e
nts
a
n
a
ppli
c
a
ti
on
of
a
meta
mate
r
ia
l
unit
c
e
ll
to
a
c
hieve
a
c
ompac
t
ba
nd
-
pa
s
s
s
tr
uc
tur
e
with
high
e
lec
tr
ica
l
pe
r
f
or
manc
e
s
.
F
r
om
the
a
c
hieve
d
r
e
s
ult
s
,
the
pr
opos
e
d
f
il
ter
of
f
e
r
s
a
n
i
mpor
tant
im
pr
ove
ment
of
the
pa
s
s
-
ba
nd
be
ha
vior
in
ter
ms
of
i
ns
e
r
ti
on
los
s
,
the
a
tt
e
nua
ti
on
leve
l
a
nd
s
ize
r
e
duc
ti
on
c
ompar
e
d
with
the
c
onve
nti
ona
l
a
ppr
oa
c
h
us
e
d
to
d
e
s
ign
ba
nd
-
pa
s
s
f
il
ter
s
.
T
his
f
il
te
r
is
c
ha
r
a
c
ter
ize
d
b
y
a
wide
pa
s
s
ba
nd
with
a
f
r
a
c
ti
ona
l
ba
ndwidth
F
B
W
=
60%
a
nd
gives
a
high
tr
a
ns
mi
s
s
ion
a
nd
r
e
c
e
pti
on
in
de
s
ir
e
d
f
r
e
que
nc
ies
.
RE
F
E
RE
NC
E
S
[
1]
K
.
P.
V
i
n
a
y
,
B.
Rames
h
,
L
al
b
ab
u
.
P,
Y
.
E
.
V
as
a
n
t
h
K
u
m
ar,
M.
Meen
a
K
u
mari
,
“
Ci
rc
u
l
ar
l
y
p
o
l
ari
ze
d
mi
cr
o
s
t
ri
p
p
at
ch
an
t
e
n
n
a
u
s
i
n
g
p
b
g
s
t
ru
c
t
u
re
s
,”
In
t
er
n
a
t
i
o
n
a
l
Jo
u
r
n
a
l
o
f
In
n
o
va
t
i
ve
Tec
h
n
o
l
o
g
y
a
n
d
E
xp
l
o
r
i
n
g
E
n
g
i
n
eer
i
n
g
,
v
o
l
.
8
,
n
o
.
6
,
p
p
.
4
9
1
-
4
9
4
,
2
0
1
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KO
M
NI
KA
T
e
lec
omm
un
C
omput
E
l
C
ontr
o
l
B
and
-
pas
s
fi
lt
e
r
bas
e
d
on
c
omple
me
ntar
y
s
pli
t
r
ing
r
e
s
onator
(
B
adr
N
as
ir
i
)
1149
[
2]
J
.
Z
en
g
,
C.
J
.
W
a
n
g
,
“
D
es
i
g
n
o
f
a
co
m
p
act
w
i
d
eb
a
n
d
mi
cro
s
t
r
i
p
b
an
d
p
a
s
s
f
i
l
t
er
u
s
i
n
g
m
u
l
t
i
p
l
e
-
mo
d
e
res
o
n
a
t
o
r
,”
In
P
r
o
g
r
es
s
i
n
E
l
ec
t
r
o
m
a
g
n
et
i
c
R
e
s
ea
r
ch
S
y
m
p
o
s
i
u
m
(P
IE
R
S
)
,
p
p
.
2
9
5
1
-
2
9
5
3
,
2
0
1
6
.
[
3]
A
.
Z
ak
h
aro
v
,
S.
Ro
zen
k
o
,
M.
Il
ch
en
k
o
,
“
V
arac
t
o
r
-
T
u
n
e
d
Mi
cro
s
t
r
i
p
Ban
d
p
a
s
s
Fi
l
t
er
w
i
t
h
L
o
o
p
H
ai
r
p
i
n
an
d
Co
mb
l
i
n
e
Res
o
n
at
o
rs
,”
I
E
E
E
Tr
a
n
s
a
ct
i
o
n
s
o
n
Ci
r
cu
i
t
s
a
n
d
S
ys
t
em
s
II:
E
x
p
r
e
s
s
B
r
i
e
f
s
,
v
o
l
.
66
,
n
o
.
6
,
p
p
.
9
5
3
-
957
,
2
0
1
9
.
[
4]
A
.
Bo
u
t
e
j
d
ar,
M.
A
mzi
,
S.
D
.
Ben
n
an
i
,
“
D
es
i
g
n
a
n
d
i
m
p
ro
v
eme
n
t
o
f
a
co
mp
ac
t
b
a
n
d
p
as
s
fi
l
t
er
u
s
i
n
g
D
G
S
t
ech
n
i
q
u
e
fo
r
W
L
A
N
a
n
d
W
i
M
A
X
a
p
p
l
i
ca
t
i
o
n
s
,”
TE
LK
O
M
NIK
A
Tel
eco
m
m
u
n
i
c
a
t
i
o
n
Co
m
p
u
t
i
n
g
E
l
ec
t
r
o
n
i
cs
a
n
d
Co
n
t
r
o
l
,
v
o
l
.
15
,
n
o
.
3
,
p
p
.
1
1
3
7
-
1
1
4
4
,
2
0
1
7
.
[
5]
E.
S
A
h
med
,
“
Co
mp
act
d
u
al
-
b
an
d
p
aral
l
el
co
u
p
l
ed
T
-
s
h
ap
e
d
SIR
fi
l
t
er
fo
r
W
L
A
N
ap
p
l
i
cat
i
o
n
s
,”
TE
LK
O
M
NI
KA
Tel
eco
m
m
u
n
i
ca
t
i
o
n
Co
m
p
u
t
i
n
g
E
l
ect
r
o
n
i
c
s
a
n
d
Co
n
t
r
o
l
,
v
o
l
.
15
,
n
o
.
4
,
p
p
.
1
6
7
7
-
1
6
8
1
,
2
0
1
7
.
[
6]
L
.
W
an
g
,
G
.
W
a
n
g
,
Y
.
H
e,
R.
Z
h
an
g
,
“
D
e
s
i
g
n
o
f
m
i
cro
s
t
ri
p
b
a
n
d
p
as
s
fi
l
t
ers
u
s
i
n
g
frag
m
en
t
-
t
y
p
e
c
o
u
p
l
i
n
g
s
t
r
u
ct
u
re
b
as
e
d
o
n
m
u
l
t
i
-
o
b
j
ect
i
v
e
o
p
t
i
mi
za
t
i
o
n
,”
IE
E
E
M
TT
-
S
In
t
er
n
a
t
i
o
n
a
l
M
i
c
r
o
w
a
ve
S
y
m
p
o
s
i
u
m
,
p
p
.
1
6
2
0
-
1
6
2
3
,
2
0
1
6
.
[
7]
A
.
Bo
u
t
e
j
d
ar,
A
.
O
mar
an
d
E
.
Bu
r
t
e,
“
Mi
n
i
at
u
ri
ze
d
l
o
w
p
as
s
an
d
b
a
n
d
s
t
o
p
fi
l
t
er
s
u
s
i
n
g
co
n
t
ro
l
l
e
d
co
u
p
l
i
n
g
o
f
o
p
e
n
-
l
o
o
p
-
ri
n
g
d
efect
e
d
g
ro
u
n
d
s
t
r
u
ct
u
re
(D
G
S)
,”
M
i
cr
o
wa
v
e
a
n
d
O
p
t
i
ca
l
Tech
n
o
l
o
g
y
Let
t
e
r
s
,
v
o
l
.
52
,
n
o
.
22
,
p
p
.
2
5
7
5
–
2
5
7
8
,
2
0
1
1
.
[
8]
L
.
Y
ech
o
u
,
A
.
T
ri
b
ak
,
K
.
Mo
h
amed
,
J
.
Z
b
i
t
o
u
,
A
.
Bo
u
y
a
h
y
a
o
u
i
,
A
.
Med
i
av
i
l
l
a
San
ch
ez,
“
Pl
a
n
ar
w
i
d
e
b
an
d
b
an
d
-
s
t
o
p
fi
l
t
er
w
i
t
h
T
-
i
n
v
er
t
ed
s
h
a
p
ed
o
p
en
s
t
u
b
s
fo
r
w
i
d
eb
a
n
d
ap
p
l
i
cat
i
o
n
s
,
”
In
t
e
r
n
a
t
i
o
n
a
l
Jo
u
r
n
a
l
o
f
M
i
cr
o
wa
ve
a
n
d
W
i
r
el
e
s
s
Tech
n
o
l
o
g
i
e
s
,
v
o
l
.
9
,
n
o
.
4
,
p
p
.
7
7
3
-
7
8
0
,
2
0
1
7
.
[
9]
N
.
A
.
W
a
h
ab
,
I.
Pa
s
y
a,
M.
F.
A
.
K
h
a
l
i
d
,
I.
M.
Y
as
s
i
n
,
S.
H
.
H
erman
,
Z
.
A
w
an
g
,
“
Ps
e
u
d
o
-
E
l
l
i
p
t
i
c
Ba
n
d
p
as
s
Fi
l
t
er
s
U
s
i
n
g
C
l
o
s
ed
-
L
o
o
p
Re
s
o
n
at
o
r
,”
In
t
er
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
n
A
d
va
n
ced
S
ci
e
n
ce,
E
n
g
i
n
ee
r
i
n
g
a
n
d
In
f
o
r
m
a
t
i
o
n
Tech
n
o
l
o
g
y
,
v
o
l
.
7
,
n
o
.
2
,
p
p
.
3
4
5
–
3
5
1
,
2
0
1
7
.
[
10]
M.
E
s
maei
l
i
,
J
.
Bo
rn
ema
n
n
,
“
M
i
cro
s
t
r
i
p
b
an
d
s
t
o
p
fi
l
t
er
s
u
s
i
n
g
L
-
an
d
T
-
s
h
ap
e
d
res
o
n
a
t
o
r
s
,
”
A
s
i
a
-
P
a
ci
f
i
c
M
i
c
r
o
w
a
ve
Co
n
f
er
e
n
ce
(A
P
M
C)
,
p
p
.
1
-
3
,
2
0
1
6
.
[
11]
K
.
R.
X
i
an
g
,
F.
C.
Ch
en
,
“
Co
mp
act
Mi
cro
s
t
r
i
p
Ban
d
p
as
s
Fi
l
t
er
w
i
t
h
Mu
l
t
i
s
p
u
ri
o
u
s
Su
p
p
res
s
i
o
n
U
s
i
n
g
Q
u
ar
t
er
-
w
a
v
el
e
n
g
t
h
an
d
H
a
l
f
-
w
a
v
el
e
n
g
t
h
U
n
i
fo
rm
Imp
e
d
a
n
ce
Res
o
n
a
t
o
r
s
,”
IE
E
E
A
cce
s
s
,
p
p
.
1
-
6
,
2
0
1
8
.
[
12]
R.
E
l
A
ri
f,
M.
A
.
Mu
s
l
i
m,
S.
H
.
Pramo
n
o
,
“
Co
mp
ac
t
s
t
e
p
p
e
d
i
mp
e
d
an
ce
re
s
o
n
at
o
r
b
a
n
d
p
as
s
fi
l
t
er
w
i
t
h
t
u
n
a
b
l
e
t
ran
s
mi
s
s
i
o
n
zero
s
,”
TE
LKO
M
NIKA
Tel
ec
o
m
m
u
n
i
c
a
t
i
o
n
C
o
m
p
u
t
i
n
g
E
l
ec
t
r
o
n
i
cs
a
n
d
Co
n
t
r
o
l
,
v
o
l
.
15
,
n
o
.
4
,
pp.
1
6
8
9
-
1
6
9
2
,
2
0
1
7
.
[
13]
J.
W
.
Fen
g
,
M.
L
.
H
o
n
g
,
W
.
Q
.
Ch
e,
Q
.
X
u
,
“
D
u
a
l
-
Ba
n
d
Mi
cr
o
s
t
ri
p
Ban
d
s
t
o
p
Fi
l
t
er
w
i
t
h
Mu
l
t
i
p
l
e
T
ran
s
mi
s
s
i
o
n
Po
l
es
U
s
i
n
g
Co
u
p
l
e
d
L
i
n
e
s
,”
IE
E
E
M
i
cr
o
wa
ve
a
n
d
W
i
r
e
l
es
s
C
o
m
p
o
n
en
t
s
Let
t
e
r
s
,
v
o
l
.
27
,
n
o
.
3
,
p
p
.
2
3
6
-
2
3
8
,
2
0
1
7
.
[
14]
Z.
J
.
W
an
g
,
C.
W
an
g
,
E
.
S.
K
i
m,
J
.
G
.
L
i
an
g
,
N
.
Y
.
K
i
m,
“
Mi
cro
s
t
r
i
p
b
an
d
p
a
s
s
fi
l
t
er
s
u
s
i
n
g
t
ri
p
l
e
-
m
o
d
e
ci
rcl
e
-
s
h
a
p
ed
ri
n
g
res
o
n
at
o
r
w
i
t
h
/
w
i
t
h
o
u
t
s
t
u
b
p
e
rt
u
rb
a
t
i
o
n
,”
M
i
c
r
o
wa
ve
a
n
d
O
p
t
i
ca
l
Tech
n
o
l
o
g
y
Let
t
er
s
,
v
o
l
.
60
,
n
o
.
10
,
pp.
2
5
0
0
-
2
5
0
7
,
2
0
1
8
.
[
15]
M.
Po
u
rb
ag
h
er,
J
.
N
o
u
r
i
n
i
a,
C.
G
h
o
b
ad
i
,
“
Co
mp
ac
t
b
r
o
ad
b
an
d
-
s
t
o
p
fi
l
t
er
w
i
t
h
ci
rc
u
l
ar
fract
a
l
-
s
h
ap
e
d
s
t
u
b
s
fo
r
X
-
b
a
n
d
rad
ar
ap
p
l
i
cat
i
o
n
s
,”
A
p
p
l
i
ed
Co
m
p
u
t
a
t
i
o
n
a
l
E
l
ec
t
r
o
m
a
g
n
e
t
i
c
s
S
o
c
i
et
y
Jo
u
r
n
a
l
,
v
o
l
.
32
,
n
o
.
5
,
p
p
.
56
-
59
,
2
0
1
7
.
[
16]
K
.
A
n
n
am,
S.
B
.
K
u
mar
K
h
ah
,
S.
D
o
o
l
ey
,
C.
Cern
y
,
G
.
Su
b
raman
y
am
,
“
E
x
p
er
i
men
t
al
d
e
s
i
g
n
o
f
b
a
n
d
s
t
o
p
fi
l
t
er
s
b
as
e
d
o
n
u
n
c
o
n
v
en
t
i
o
n
a
l
d
efect
e
d
g
ro
u
n
d
s
t
r
u
ct
u
res
,
”
M
i
c
r
o
w
a
ve
a
n
d
O
p
t
i
ca
l
Tech
n
o
l
o
g
y
Let
t
er
s
,
v
o
l
.
58
,
n
o
.
12
,
pp.
2
9
6
9
-
2
9
7
3
,
2
0
1
6
.
[
17]
A
.
T
u
r
k
el
i
,
A
.
K
.
G
o
r
u
r,
E
.
G
.
Sah
i
n
,
A
.
G
o
ru
r,
“
D
es
i
g
n
o
f
d
u
a
l
w
i
d
e
b
an
d
b
a
n
d
p
as
s
fi
l
t
er
u
s
i
n
g
s
t
u
b
l
o
a
d
ed
m
u
l
t
i
-
mo
d
e
res
o
n
a
t
o
r
s
,”
M
i
c
r
o
w
a
ve
a
n
d
O
p
t
i
ca
l
Tech
n
o
l
o
g
y
Let
t
e
r
s
,
v
o
l
.
60
,
n
o
.
10
,
p
p
.
2
3
7
0
-
2
3
7
4
,
2
0
1
8
.
[
18]
B.
N
as
i
ri
,
A
.
E
rr
k
i
k
,
J
.
Z
b
i
t
o
u
,
A
.
T
aj
mo
u
at
i
,
L
.
E
l
A
b
d
el
l
ao
u
i
et
M.
L
at
rach
,
“
A
mi
n
i
at
u
re
mi
cro
s
t
r
i
p
BSF
u
s
i
n
g
co
mp
l
emen
t
ary
s
p
l
i
t
ri
n
g
res
o
n
at
o
r,
”
In
t
er
n
a
t
i
o
n
a
l
Jo
u
r
n
a
l
o
f
In
t
e
l
l
i
g
e
n
t
E
n
g
i
n
eer
i
n
g
a
n
d
S
ys
t
em
s
,
v
o
l
.
11
,
n
o
.
3
,
p
p
.
2
9
-
3
6
,
2
0
1
8
.
[
19]
V
.
V
es
el
a
g
o
,
“
T
h
e
el
ec
t
ro
d
y
n
ami
c
s
o
f
s
u
b
s
t
an
ce
s
w
i
t
h
s
i
mu
l
t
an
e
o
u
s
l
y
n
eg
a
t
i
v
e
v
al
u
es
o
f
ε
an
d
μ
,”
P
h
ys
i
cs
-
U
s
p
e
kh
i
,
v
o
l
.
10
,
n
o
.
4
,
p
p
.
5
0
9
–
5
1
4
,
1
9
6
8
.
[
20]
J
.
B.
Pen
d
r
y
,
A
.
J
.
H
o
l
d
e
n
,
W
.
J
.
St
e
w
art
,
a
n
d
I.
Y
o
u
n
g
s
,
“
E
x
t
remel
y
L
o
w
Freq
u
en
c
y
Pl
a
s
mo
n
s
i
n
Met
al
l
i
c
Mes
o
s
t
r
u
ct
u
res
,”
P
h
ys
i
ca
l
R
evi
ew
Le
t
t
e
r
s
,
v
o
l
.
76
,
n
o
.
25
,
p
p
.
4
7
7
3
-
4
7
7
6
,
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24]
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