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a
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w
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less
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y
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[
1
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.
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ap
p
licatio
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f
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s
[2
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[
3]
.
T
h
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d
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tio
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o
f
ar
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v
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al
g
o
r
i
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m
s
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s
u
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ar
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R
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ased
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ased
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ased
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SP
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p
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tr
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c
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)
.
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[7
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[
8
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T
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ased
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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C
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I
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N:
2
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8
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f
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T
h
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r
est
o
f
th
e
ar
ticle
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o
r
g
an
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as
f
o
llo
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s
.
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Desi
g
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u
n
if
o
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cir
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u
lar
p
atch
an
te
n
n
a
ar
r
a
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is
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2
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f
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y
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f
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SIC
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d
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tr
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ith
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s
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3
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ased
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4
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Fin
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Sect
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co
n
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ticle.
2.
S
M
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A
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E
SI
G
N
A
s
m
ar
t
an
te
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a
n
ten
n
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ar
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ay
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y
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te
m
aid
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b
y
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o
m
e
s
m
ar
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alg
o
r
it
h
m
d
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to
ad
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t
to
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if
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m
ar
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m
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atter
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ar
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y
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ea
n
s
o
f
i
n
te
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n
al
f
ee
d
b
ac
k
co
n
tr
o
l
w
h
i
le
t
h
e
an
te
n
n
a
s
y
s
te
m
i
s
o
p
e
r
atin
g
.
T
h
e
b
as
ic
id
ea
b
eh
in
d
s
m
ar
t
a
n
te
n
n
as
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s
t
h
at
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a
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s
p
r
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ed
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i
m
u
lta
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s
l
y
allo
w
s
tatic
o
r
d
y
n
a
m
ical
s
p
atial
p
r
o
ce
s
s
in
g
w
it
h
f
i
x
ed
a
n
te
n
n
a
to
p
o
lo
g
y
.
T
h
e
p
atter
n
o
f
th
e
an
ten
n
a
in
it
s
to
talit
y
is
n
o
w
d
ep
en
d
in
g
p
ar
tl
y
o
n
its
g
eo
m
etr
y
b
u
t
e
v
e
n
m
o
r
e
o
n
t
h
e
p
r
o
ce
s
s
i
n
g
o
f
th
e
s
ig
n
al
s
o
f
th
e
a
n
ten
n
a
s
in
d
i
v
id
u
all
y
.
Sev
er
al
alg
o
r
it
h
m
s
h
av
e
b
ee
n
d
e
v
elo
p
ed
b
ased
o
n
d
if
f
er
e
n
t c
r
iter
ia
to
co
m
p
u
te
t
h
e
co
m
p
lex
w
e
ig
h
t
s
[
9
]
,
[
1
0
]
.
2
.
1
.
Desig
n
o
f
Rec
t
a
ng
ula
r
P
a
t
ch
Ant
enna
T
h
e
d
ielec
tr
ic
m
ater
ia
l
s
elec
t
ed
f
o
r
d
esig
n
i
s
F
R
4
h
a
v
i
n
g
a
d
ielec
tr
ic
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n
s
ta
n
t
o
f
4
.
4
.
A
s
u
b
s
tr
ate
h
av
i
n
g
a
h
i
g
h
d
ielec
tr
ic
co
n
s
ta
n
t
s
h
o
u
ld
b
e
s
elec
ted
b
ec
au
s
e
if
t
h
e
d
ielec
tr
ic
co
n
s
ta
n
t
i
s
s
m
all,
th
e
d
i
m
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n
s
io
n
s
o
f
th
e
a
n
ten
n
a
ar
e
s
m
all
[
1
0
]
,
[
11]
.
I
n
m
an
y
ap
p
licatio
n
s
it
is
n
ec
ess
ar
y
to
d
esig
n
an
te
n
n
a
s
w
it
h
v
er
y
d
ir
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tiv
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c
h
ar
ac
ter
is
tic
s
to
m
ee
t
th
e
d
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m
a
n
d
s
o
f
lo
n
g
d
is
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n
ce
co
m
m
u
n
ica
tio
n
.
T
h
is
ca
n
b
e
ac
h
iev
ed
b
y
f
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r
m
i
n
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an
as
s
e
m
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l
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o
f
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e
n
ts
i
n
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tr
ical
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n
d
g
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m
etr
ical
co
n
f
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g
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r
atio
n
,
w
h
ich
is
r
ef
er
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ed
to
as
an
ar
r
a
y
.
Fo
r
t
h
e
m
icr
o
s
tr
ip
p
a
tch
an
ten
n
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t
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at
is
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s
ed
i
n
w
ir
ele
s
s
co
m
m
u
n
ica
tio
n
,
it
is
e
s
s
e
n
ti
al
th
at
th
e
a
n
te
n
n
a
is
n
o
t
c
u
m
b
er
s
o
m
e.
Hen
ce
th
e
h
eig
h
t o
f
th
e
d
ielec
tr
ic
s
u
b
s
tr
a
te
m
u
s
t b
e
s
m
all; t
h
e
ef
f
ec
t o
f
th
e
h
ei
g
h
t is d
is
c
u
s
s
ed
in
[
1
1
]
.
T
h
e
F
R
4
_
ep
o
xy
s
u
b
s
tr
ate
u
s
ed
in
th
is
w
o
r
k
h
as
a
s
ta
n
d
ar
d
h
eig
h
t
o
f
1
.
6
m
m
.
T
h
e
ess
en
tial
p
ar
am
eter
s
f
o
r
th
e
d
esi
g
n
ar
e:
a.
R
eso
n
a
n
ce
f
r
eq
u
en
c
y
f
r
=
6
.
4
GHz
.
b.
Dielec
tr
ic
co
n
s
ta
n
t o
f
t
h
e
s
u
b
s
tr
ate
εr
=
4
.
4
.
c.
Heig
h
t o
f
t
h
e
d
ielec
tr
ic
s
u
b
s
tr
ate
h
=
1
.
6
m
m
.
T
h
e
f
o
llo
w
i
n
g
s
tep
s
ar
e
f
o
llo
w
ed
to
d
esig
n
o
u
r
p
r
o
p
o
s
ed
d
esig
n
t
h
e
r
ec
tan
g
u
lar
an
te
n
n
a
an
d
th
e
la
y
o
u
t
w
a
s
p
r
esen
ted
in
F
i
g
u
r
e
1
.
Fig
u
r
e
1
.
R
ec
tan
g
u
lar
p
atch
a
n
ten
n
a
d
esi
g
n
ed
b
y
m
icr
o
s
tr
ip
lin
e
f
ee
d
T
h
e
w
id
th
W
o
f
th
e
p
atc
h
an
te
n
n
a
i
s
ca
lcu
lated
as f
o
llo
w
s
:
√
(
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
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4
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A
u
g
u
s
t
2
0
1
7
:
2
1
1
6
–
2
1
2
4
2118
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ith
C
=
f
r
ee
s
p
ac
e
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li
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t.
T
h
e
ef
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v
e
d
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ic
co
n
s
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n
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(
2
)
T
h
e
co
m
p
u
ta
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n
o
f
t
h
e
e
f
f
ec
t
i
v
e
len
g
t
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g
i
v
en
b
y
t
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f
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llo
w
i
n
g
eq
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atio
n
:
√
=1
1
.
6
1
m
m
(
3
)
T
h
e
ex
ten
s
io
n
o
f
t
h
e
len
g
t
h
an
d
th
e
len
g
th
p
atc
h
:
(
)
(
)
(
)
(
)
=
0
.
4
7
m
m
(
4
)
=
1
1
.
1
4
m
m
(
5
)
T
h
e
len
g
t
h
an
d
w
id
t
h
o
f
th
e
g
r
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u
n
d
p
lan
e
:
=2
0
.
7
4
m
m
(
6
)
=2
1
.
6
8
m
m
(
7
)
2
.
2
.
P
ro
po
s
ed
Unifo
r
m
Circ
ula
r
Arr
a
y
Str
uct
ure
T
h
e
p
lan
ar
ar
r
an
g
e
m
e
n
ts
ca
n
b
e
s
u
b
-
d
i
v
id
ed
in
to
th
r
ee
o
th
er
ca
teg
o
r
ies;
cir
cu
lar
,
r
ec
tan
g
u
lar
,
a
n
d
s
q
u
ar
e.
Am
o
n
g
th
e
s
e
th
r
ee
ca
teg
o
r
ies,
th
e
cir
cu
lar
ar
r
ay
s
d
o
n
o
t
h
av
e
ed
g
e
ele
m
e
n
ts
.
W
ith
o
u
t
ed
g
e
co
n
s
tr
ain
ts
,
th
e
b
ea
m
p
atter
n
o
f
a
cir
cu
lar
ar
r
ay
ca
n
b
e
elec
tr
o
n
icall
y
r
o
tated
.
B
esid
es,
th
e
cir
cu
lar
ar
r
ay
s
also
h
av
e
t
h
e
ca
p
ab
ilit
y
to
co
m
p
en
s
ate
th
e
e
f
f
ec
t
o
f
m
u
t
u
al
co
u
p
lin
g
b
y
b
r
ea
k
in
g
d
o
w
n
t
h
e
ar
r
a
y
ex
cita
tio
n
i
n
to
a
s
er
ies o
f
s
y
m
m
etr
ical
s
p
atial
c
o
m
p
o
n
en
t
s
[
1
1
]
,
[
1
2
]
.
Fig
u
r
e
2
p
r
esen
ts
th
e
g
eo
m
etr
y
o
f
cir
cu
l
ar
ar
r
a
y
an
te
n
n
a
.
Fig
u
r
e
2
.
N
ele
m
en
ts
ar
r
an
g
ed
in
Un
if
o
r
m
C
ir
cu
lar
A
r
r
a
y
(
U
C
A
)
w
it
h
ce
n
tr
al
ele
m
e
n
t
3.
D
I
RE
CT
I
O
N
O
F
A
RRIVA
L
AL
G
O
RI
T
H
M
U
SI
NG
U
CA
3
.
1
.
M
us
ic
Alg
o
rit
h
m
M
U
ltip
le
Si
g
n
al
C
las
s
i
f
icatio
n
(
MUS
I
C
)
is
o
n
e
o
f
t
h
e
h
i
g
h
-
r
eso
lu
tio
n
s
u
b
s
p
ac
e
DO
A
al
g
o
r
ith
m
s
th
a
t
b
ased
o
n
eig
en
d
ec
o
m
p
o
s
itio
n
o
f
th
e
au
to
co
r
r
elatio
n
m
atr
ix
o
f
th
e
r
ec
eiv
ed
s
ig
n
al[
13
]
,
[
1
4
]
.
F
ig
u
r
e
2
p
r
esen
t
a
u
n
i
f
o
r
m
cir
c
u
la
r
ar
r
a
y
w
it
h
i
n
cid
en
t p
la
n
e
w
av
e
s
f
r
o
m
v
ar
i
o
u
s
d
ir
ec
tio
n
s
.
T
h
e
d
ata
m
o
d
el
is
g
i
v
e
n
by
:
X(
t)
=A
S(t)
+N
(
t)
(
8
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
Hig
h
R
eso
lu
tio
n
Meth
o
d
u
s
in
g
P
a
tch
C
ir
cu
la
r
A
r
r
a
y
(
Mo
h
a
mme
d
A
min
e
I
h
ed
r
a
n
e
)
2119
T
h
e
s
ig
n
al
r
ec
ei
v
ed
b
y
t
h
e
ar
r
a
y
is
d
ef
i
n
ed
in
(
8
)
,
w
h
er
e
A=
[
a
(
)
,
…,
a
(
)
]
is
a
(
N
×M
)
m
atr
ix
o
f
th
e
M
s
teer
in
g
v
ec
to
r
s
an
d
S=[
S1
(
t)
,
…,
SM(
t)
]
T
is
a
s
ig
n
al
s
o
u
r
ce
v
ec
to
r
o
f
o
r
d
er
(
M×N
)
.
d
en
o
te
Tr
a
n
s
p
o
s
e
o
f
a
m
atr
ix
a
n
d
N(
t)
is
N(
t)
=
[
n
1
(
t)
,
n
2
(
t)
,
.
.
.
,
n
N(
t)
]
T
is
th
e
t
th
s
n
ap
s
h
o
t
o
f
eith
er
ze
r
o
m
ea
n
s
tatio
n
ar
y
co
m
p
le
x
ad
d
itiv
e
w
h
ite
g
au
s
s
i
an
n
o
is
e
(
A
WGN
)
.
T
h
e
co
r
r
ela
tio
n
m
atr
i
x
o
f
r
ec
ei
v
ed
v
ec
to
r
ca
n
b
e
w
r
itte
n
as:
R
x
=
E
[
XX]
H
=
E
[
A
SS
H
AH]
=
A
VAH+
2
I
=
R
s
+
2
I
(
9
)
W
h
er
e
is
t
h
e
v
ar
ia
n
ce
o
f
w
h
i
te
g
a
u
s
s
ian
n
o
is
e
v
ec
to
r
(
W
)
,
V
is
co
v
ar
ia
n
ce
m
a
tr
ix
o
f
s
i
g
n
al
v
ec
to
r
(
S
)
w
h
ic
h
is
a
f
u
ll r
a
n
k
m
atr
i
x
o
f
o
r
d
er
(
M×M
)
g
i
v
en
b
y
V=
E
[
SS
]
H
[
|
|
|
|
|
|
]
(
1
0
)
W
h
er
e
th
e
s
tati
s
tical
ex
p
ec
tati
o
n
is
d
en
o
ted
b
y
E
[
]
,
R
s
is
a
s
ig
n
al
co
v
ar
ian
ce
m
atr
ix
o
f
o
r
d
er
(
N
×
N
)
w
i
t
h
r
an
k
M
g
i
v
en
b
y
[
|
|
|
|
|
|
]
(
1
1
)
,
h
as
(N
-
M)
e
i
g
en
v
ec
to
r
s
co
r
r
esp
o
n
d
in
g
to
ze
r
o
eig
e
n
v
al
u
es.
W
e
k
n
o
w
th
at
s
teer
i
n
g
v
ec
to
r
(
)
w
h
ic
h
is
in
t
h
e
s
i
g
n
al
s
u
b
s
p
ac
e
is
o
r
th
o
g
o
n
al
to
n
o
is
e
s
u
b
s
p
ac
e
let
b
e
s
u
ch
a
n
eig
e
n
v
ec
to
r
.
(
1
2
)
Sin
ce
V
i
s
a
p
o
s
itiv
e
d
ef
in
i
te
m
atr
i
x
(
)
(
13)
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h
is
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p
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a
l
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n
d
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g
to
n
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u
b
s
p
ac
e
[
1
5
]
.
So
th
e
MU
SIC a
l
g
o
r
it
h
m
s
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ch
es t
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2
.
1
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f
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a
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h
e
Ma
tr
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en
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lati
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s
e
th
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atr
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m
ate
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m
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l
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m
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th
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L
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1
6
]
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[
1
7
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(
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ar
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[1
6
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[
1
7
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.
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ated
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m
t
h
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ef
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e
t
w
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b
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m
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s
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[
(
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(
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b
(
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I
J
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N:
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0
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Hig
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4.
RE
SU
L
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S AN
D
D
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SCU
T
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N
F
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DO
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tr
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ci
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to
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Un
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f
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m
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c
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lar
ar
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s
(
4
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d
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1
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h
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s
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c
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lar
ar
r
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s
ch
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ta
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λ
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n
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r
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tr
ate
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h
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u
m
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ical
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ties
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a
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ar
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s
t
u
d
y
w
as
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et
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n
t
h
e
Ma
tr
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P
en
cil
an
d
MU
SIC a
l
g
o
r
ith
m
i
n
d
i
ca
te
at
[2
1
]
,
[
2
2
]
f
o
r
th
e
p
r
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o
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ed
s
tr
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r
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s
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Fig
u
r
e
3
.
P
r
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an
ten
n
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r
ay
s
w
it
h
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ele
m
e
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Fig
u
r
e
4
.
P
r
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ig
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r
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5
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ate
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r
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s
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8
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GHz
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u
r
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5
.
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n
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d
(
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e
in
C
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d
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I
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e
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ase
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n
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e
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o
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e
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ir
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Fig
u
r
e
6
.
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n
p
atter
n
o
f
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4
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elem
en
t
cir
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ay
Fig
u
r
e
7
.
R
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atter
n
o
f
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en
t c
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ay
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ig
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r
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8
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et
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d
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f
r
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s
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ig
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m
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e
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e
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n
g
le
s
=
[
1
0
°,8
0
°]
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d
=
[
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0
0
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6
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u
s
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e
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u
lt
ip
le
Em
it
ter
L
o
c
a
ti
o
n
a
n
d
S
ig
n
a
l
P
a
ra
m
e
ter
Esti
m
a
ti
o
n
”
,
IEE
E
T
ra
n
sa
c
ti
o
n
a
n
d
p
ro
p
a
g
a
ti
o
n
,
3
4
(
3
),
2
7
6
–
2
8
0
.
M
a
rc
h
1
9
8
6
.
[5
]
R.
O.S
c
h
m
id
t
“
A
S
ig
n
a
l
S
u
b
sp
a
c
e
A
p
p
ro
a
c
h
to
M
u
lt
ip
le
Em
it
ter
L
o
c
a
ti
o
n
a
n
d
S
p
e
c
tral
Esti
m
a
ti
o
n
”,
P
h
D
th
e
sis,
S
tan
f
o
rd
Un
iv
e
rsity
,
S
tan
f
o
rd
,
Ca
li
f
o
rn
ia,
USA
.
1
9
8
1
.
[6
]
M
.
M
.
L
o
d
ro
,
M
.
H.
A
b
ro
,
“
Erg
o
d
ic
Ca
p
a
c
it
y
o
f
M
IM
O
Co
rre
la
ted
Ch
a
n
n
e
ls
i
n
M
u
lt
i
p
a
th
F
a
d
i
n
g
En
v
iro
n
m
e
n
t
w
it
h
k
n
o
w
n
Ch
a
n
n
e
l
S
tate
In
f
o
r
m
a
ti
o
n
”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
m
p
u
ter
En
g
i
n
e
e
rin
g
(
IJ
ECE
)
,
V
o
l
.
2
,
p
p
.
6
9
1
-
6
9
7
,
2
0
1
2
.
[7
]
Y.Hu
a
,
T
.
K.
S
a
rk
a
r
,
“
M
a
tri
x
P
e
n
c
il
m
e
th
o
d
a
n
d
sy
ste
m
p
o
les
”
,
S
ig
n
a
l
Pro
c
e
ss
in
g
.
Vo
l.
2
1
,
p
p
.
1
9
5
-
1
9
8
,
1
9
9
0
.
[8
]
Y.Hu
a
,
T
.
K.S
a
rk
a
r,
“
On
S
V
D
f
o
r
e
sti
m
a
ti
n
g
g
e
n
e
ra
li
z
e
d
e
i
g
e
n
v
a
lu
e
s
o
f
sin
g
u
lar
M
a
tri
x
P
e
n
c
il
in
n
o
ise
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
sig
n
a
l
p
ro
c
e
ss
in
g
,
V
o
l
.
3
9
,
p
p
.
8
9
2
-
9
0
0
,
1
9
9
1
.
[9
]
P.
Io
a
n
n
id
e
s,
C.
A
.
Ba
lan
is,
“
Un
if
o
rm
Circu
lar
a
n
d
Re
c
tan
g
u
lar
Arra
y
s
f
o
r
A
d
a
p
ti
v
e
Be
a
m
f
o
r
m
in
g
A
p
p
li
c
a
ti
o
n
s”
.
IEE
E
A
n
ten
n
a
s a
n
d
W
ire
les
s P
ro
p
a
g
a
ti
o
n
L
e
tt
e
rs
,
V
o
l.
4
,
p
p
.
3
5
1
-
3
5
5
,
2
0
0
5
.
[1
0
]
S.F
.
S
h
a
u
k
a
t,
M
.
Ha
ss
a
n
,
R.
F
a
r
o
o
q
,
H.
U.
S
a
e
e
d
,
Z.
S
a
lee
m
,
“
S
e
q
u
e
n
ti
a
l
S
t
u
d
ies
o
f
Be
a
m
f
o
r
m
in
g
A
l
g
o
rit
h
m
s
f
o
r
S
m
a
rt
A
n
ten
n
a
S
y
ste
m
s”
.
W
o
rld
Ap
p
li
e
d
S
c
ie
n
c
e
s Jo
u
rn
a
l
,
V
o
l.
6
,
p
p
.
7
5
4
-
7
5
8
,
2
0
0
9
.
[1
1
]
A
sh
ish
Ku
m
a
r,
Bi
m
a
l
G
a
r
g
,
“
Re
c
tan
g
u
lar M
icro
stri
p
P
a
tch
A
n
ten
n
a
L
o
a
d
e
d
W
it
h
Do
u
b
le Orth
o
g
o
n
a
l
Cro
ss
e
d
S
li
t
s
in
G
ro
u
n
d
P
la
n
e
”
,
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
A
d
v
a
n
c
e
T
e
c
h
n
o
lo
g
y
&
En
g
i
n
e
e
rin
g
Res
e
a
rc
h
,
2
0
1
1
.
[1
2
]
D.
M
a
n
d
a
l
S
.
P
.
G
h
o
sh
a
l,
A
.
K.
Bh
a
tt
a
c
h
a
rjee
“
Op
ti
m
a
l
De
sig
n
o
f
Co
n
c
e
n
tri
c
Circu
lar
A
n
te
n
n
a
A
rra
y
Us
in
g
P
a
rti
c
le S
w
a
rm
Op
ti
m
iza
ti
o
n
w
it
h
Co
n
strictio
n
F
a
c
t
o
r
A
p
p
r
o
a
c
h
”
,
In
ter
.
J
.
Co
mp
Ap
p
l
,
Vo
l.
1
,
p
p
.
94
-
1
0
0
.
2
0
1
0
.
[1
3
]
M
A
.
Ih
e
d
ra
n
e
,
S
.
Bri
“
Dire
c
ti
o
n
o
f
A
rriv
a
l
Esti
m
a
ti
o
n
u
si
n
g
M
USIC,
ES
P
RIT
a
n
d
M
a
x
imu
m
-
L
ik
e
li
h
o
o
d
A
l
g
o
rit
h
m
s f
o
r
A
n
ten
n
a
A
rra
y
s”
,
W
a
l.
J
.
S
c
.
T
e
c
(W
JST
),
V
o
l.
1
3
,
p
p
.
4
9
1
-
5
0
2
,
2
0
1
5
.
[1
4
]
L
.
S
h
e
n
g
,
Z.
S
h
u
a
n
g
h
o
n
g
,
L
.
Bin
g
,
Z.
L
a
n
y
o
n
g
,
“
A
p
p
li
c
a
ti
o
n
o
f
Un
c
o
rre
late
d
L
e
a
n
in
g
f
ro
m
L
o
w
-
Ra
n
k
Dic
ti
o
n
a
ry
in
Bli
n
d
S
o
u
rc
e
S
e
p
a
ra
ti
o
n
”
,
T
e
l.
C
o
m.E
le.Co
n
(
T
e
lko
mu
n
ica
)
,
V
o
l.
1
3
,
p
p
.
2
5
7
-
2
6
4
,
2
0
1
6
.
[1
5
]
M
.
A
.
Ih
e
d
ra
n
e
,
S
.
Bri
,
“2
-
D
DO
A
e
sti
m
a
ti
o
n
u
si
n
g
M
USIC
a
lg
o
rit
h
m
w
it
h
u
n
if
o
rm
c
ircu
lar
a
rra
y
”
,
In
ter
.
Co
ll
o
.
In
f
o
.
S
c
ie
&
T
e
c
h
(CiS
t),
p
p
.
8
5
0
-
8
5
3
,
2
0
1
6
.
[1
6
]
N.
Yilm
a
z
e
r,
J.
Ko
h
,
T
.
K.
S
a
rk
a
r,
“
Util
iza
ti
o
n
o
f
a
Un
it
a
ry
T
r
a
n
sf
o
rm
f
o
r
Eff
icie
n
t
Co
m
p
u
tatio
n
in
t
h
e
M
a
tri
x
P
e
n
c
i
l
M
e
th
o
d
to
F
i
n
d
t
h
e
Dire
c
ti
o
n
o
f
A
rriv
a
l”,
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
An
ten
n
a
s
a
n
d
Pr
o
p
a
g
a
ti
o
n
,
V
o
l
.
5
4
,
p
p
.
1
7
1
-
1
8
1
,
Ja
n
.
2
0
0
6
.
[1
7
]
M
K.
Ke
sb
a
,
KEK
Driss
i,
S
.
L
e
e
,
K.
Ke
rro
u
m
,
C.
F
a
u
re
,
C.
P
a
s
q
u
ier,
“
Co
m
p
a
riso
n
o
f
M
a
tri
x
P
e
n
c
il
Ex
trac
ted
F
e
a
tu
re
s
in
T
ime
Do
m
a
in
a
n
d
in
F
re
q
u
e
n
c
y
Do
m
a
in
f
o
r
Ra
d
a
r
T
a
r
g
e
t
Clas
si
f
ica
ti
o
n
,
”
In
t
e
.
J
.
A
n
t
.
Pro
p
,
2
0
1
4
,
p
p
.
1
-
9
,
2
0
1
4
.
[1
8
]
A
.
El
F
a
d
l,
S
.
Bri
,
M
.
Ha
b
ib
i,
“
Un
if
o
rm
R
e
c
tan
g
u
lar
S
m
a
rt
A
n
ten
n
a
b
a
se
d
o
n
M
a
tri
x
P
e
n
c
il
”
,
J
.
Ba
s.
Ap
p
l
.
S
c
ie.
Res
,
Vo
l.
1
,
p
p
.
3
3
2
2
-
3
3
2
9
,
2
0
1
1
.
[1
9
]
Ye
rris
wa
m
y
T
,
S.
N.
J
a
g
a
d
e
e
sh
a
,
“
F
a
u
lt
T
o
lera
n
t
M
a
tri
x
P
e
n
c
il
M
e
th
o
d
f
o
r
Dire
c
ti
o
n
o
f
A
rri
v
a
l
Esti
m
a
ti
o
n
”
,
S
ig
Im
a
P
ro
c
:
An
In
ter
J
,
V
o
l.
2
,
p
p
.
55
-
6
7
,
2
0
1
1
.
[2
0
]
A
.
E
L
fa
d
l,
S
.
Bri
,
M
.
Ha
b
ib
i
,
“
M
u
lt
ip
a
t
h
El
im
in
a
ti
o
n
u
sin
g
M
a
tri
x
P
e
n
c
i
l
f
o
r
S
m
a
rt
A
n
ten
n
a
w
it
h
Un
if
o
rm
L
in
e
a
r
A
rra
y
”
,
Eu
ro
.
J
.
S
c
i.
Res
,
V
o
l
.
8
7
,
p
p
.
3
9
7
-
4
0
5
,
2
0
1
2
.
[2
1
]
W
.
J.
S
I,
X
.
Y.
Lan
,
Y.
Zo
u
,
“
No
v
e
l
Hi
g
h
-
re
so
lu
ti
o
n
DO
A
E
sti
m
a
ti
o
n
u
s
i
n
g
S
u
b
s
p
a
c
e
P
ro
jec
ti
o
n
M
e
th
o
d
”
,
J
.
Ch
i
.
Un
i.
P
o
s.
T
e
l
,
Vo
l.
1
9
,
p
p
.
1
1
0
-
1
6
,
2
0
1
2
.
[2
2
]
B.
S
u
n
,
“
M
U
S
I
C
Ba
se
d
o
n
Un
if
o
rm
Circu
lar
A
rra
y
a
n
d
Its
Dire
c
ti
o
n
F
in
d
in
g
Ef
f
icie
n
c
y
”
,
In
te.
J
.
S
ig
n
.
Pro
c
.
S
y
st
,
V
o
l
.
1
,
p
p
.
2
7
3
-
2
7
7
,
2
0
1
3
.
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