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a
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.
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SYST
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M
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DE
L
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h
e
en
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y
d
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to
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t
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a
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d
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o
llo
w
e
d
b
y
a
f
i
n
ite
ti
m
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i
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te
g
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ato
r
(
f
i
g
.
-
1
)
.
T
h
e
n
o
is
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p
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f
ilter
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s
to
li
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it
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an
d
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d
t
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th
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b
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d
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f
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ter
es
t.
T
h
e
n
o
is
e
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in
p
u
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to
th
e
s
q
u
ar
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g
d
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h
as
a
b
an
d
-
l
i
m
ited
,
f
lat
s
p
ec
tr
al
d
en
s
it
y
[
1
2
].
T
h
e
o
u
tp
u
t
o
f
t
h
e
in
te
g
r
ato
r
at
an
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in
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d
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ice
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v
er
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e
in
ter
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T
in
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h
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p
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Fig
u
r
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1
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E
n
er
g
y
De
tectio
n
Fin
all
y
,
t
h
i
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tp
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t
s
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Y
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.
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n
[
1
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[
1
3
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is
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R
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h
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R
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1
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1
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e
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H
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et
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B
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d
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h
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l
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g
e
o
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t
h
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o
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s
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v
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to
t
w
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s
.
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r
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t,
all
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t
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ab
o
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esh
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ld
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e
allo
ca
ted
th
e
s
a
m
e
w
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r
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ar
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less
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p
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s
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if
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n
ce
s
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n
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ed
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ies.
I
n
tu
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a
b
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f
o
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m
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.
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s
c
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e
w
h
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elo
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u
r
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2
.
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r
in
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O
f
1
-
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it H
ar
d
C
o
m
b
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n
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n
Sch
e
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e
Fig
.
2
s
h
o
w
s
t
h
e
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r
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cip
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f
1
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b
it
h
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s
c
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e.
Dif
f
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f
r
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v
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o
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b
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e
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it
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r
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w
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[
1
5
]
in
1
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b
it
s
ch
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m
e
1
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2
ar
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ted
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atis
tic
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f
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h
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s
p
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r
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m
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en
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i
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in
to
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ee
r
eg
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.
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n
t
h
e
f
u
s
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ce
n
ter
,
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f
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er
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y
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to
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h
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r
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o
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in
g
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e
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it
w
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d
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ed
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h
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is
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t
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eg
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d
if
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er
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t
w
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h
ts
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d
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ted
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1
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1
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.
.
N
N
N
c
(
6
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w
h
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1
is
th
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u
m
b
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le
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th
a
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2
,
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2
is
t
h
e
n
u
m
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er
o
f
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ca
l d
etec
to
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s
th
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en
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f
w
h
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ar
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g
r
ea
ter
th
a
n
2
. T
h
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d
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r
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le
[
1
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]
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(
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im
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n
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1
2
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
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N:
2252
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8776
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it sc
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e
.
RE
F
E
R
E
NC
E
S
[
1
]
S
.
Ha
y
k
in
,
“
Co
g
n
it
iv
e
Ra
d
io
:
Bra
in
-
Em
p
o
we
re
d
W
irele
ss
Co
m
m
u
n
ica
ti
o
n
s,”
IEE
E
J
.
S
e
lec
ted
Are
a
s
in
Co
mm
u
n
ica
ti
o
n
s
,
v
o
l
.
2
3
,
n
o
.
2
,
F
e
b
.
2
0
0
5
,
p
p
.
2
0
1
-
2
2
0
.
[
2
]
D.
Ca
b
ric,
S
.
M
.
M
ish
ra
,
a
n
d
R.
W
.
Bro
d
e
rse
n
,
“
I
m
p
le
m
e
n
tatio
n
Iss
u
e
s
I
n
S
p
e
c
tr
u
m
S
e
n
sin
g
F
o
r
Co
g
n
it
iv
e
Ra
d
io
s
,
”
i
n
Pro
c
.
Asil
o
m
a
r Co
n
f.
o
n
S
ig
n
a
ls,
S
y
ste
ms
,
a
n
d
Co
mp
u
t
e
rs
,
No
v
.
2
0
0
4
,
v
o
l.
1
,
p
p
.
7
7
2
–
7
7
6
.
[
3
]
H.
T
a
n
g
,
"
S
o
m
e
P
h
y
sic
a
l
L
a
y
e
r
Iss
u
e
s
o
f
W
id
e
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Ba
n
d
Co
g
n
i
ti
v
e
Ra
d
io
S
y
ste
m
s,
"
IEE
E
In
t.
Co
n
f.
W
ire
l
e
ss
Ne
two
rk
s,
Co
mm
u
n
a
n
d
M
o
b
il
e
C
o
mp
u
t
in
g
,
p
p
.
1
5
1
-
1
5
9
,
No
v
.
2
0
0
5
.
[
4
]
G
.
G
a
n
e
s
a
n
a
n
d
Y.
(G
.
)
L
i,
“
Co
o
p
e
ra
ti
v
e
sp
e
c
tru
m
se
n
sin
g
in
c
o
g
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it
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e
ra
d
io
–
p
a
rt
I:
tw
o
u
se
r
n
e
tw
o
rk
s”
,
IEE
E
T
ra
n
s.
W
ire
les
s Co
mm
u
n
,
v
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l.
6
,
n
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6
,
p
p
.
2
2
0
4
–
2
2
1
3
,
Ju
n
e
2
0
0
7
.
[
5
]
G
.
G
a
n
e
sa
n
a
n
d
Y.
(G
.
)
L
i,
“
Co
o
p
e
ra
ti
v
e
sp
e
c
tru
m
se
n
sin
g
in
c
o
g
n
it
iv
e
ra
d
io
p
a
rt
II:
m
u
lt
iu
se
r
n
e
tw
o
rk
s,
”
IEE
E
T
ra
n
s.
W
ire
les
s Co
mm
.
,
v
o
l
.
6
,
n
o
.
6
,
p
p
.
2
2
1
4
–
2
2
2
2
,
J
u
n
2
0
0
7
.
[
6
]
A
.
G
h
a
se
m
i
a
n
d
E.
S
.
S
o
u
sa
,
“
Co
ll
a
b
o
ra
ti
v
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sp
e
c
tru
m
se
n
sin
g
f
o
r
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p
p
o
rt
u
n
isti
c
a
c
c
e
ss
in
f
a
d
in
g
e
n
v
ir
o
n
m
e
n
ts,
”
in
Pro
c
.
IEE
E
In
t.
S
y
mp
o
n
Ne
w
Fr
o
n
ti
e
rs
i
n
Dy
n
a
mic
S
p
e
c
tru
m A
c
c
e
ss
Ne
two
rk
s
,
No
v
.
2
0
0
5
,
p
p
.
1
3
1
–
1
3
6
.
[
7
]
S
.
M
.
M
ish
ra
,
A
.
S
a
h
a
i,
a
n
d
R.
W
.
Bro
d
e
rse
n
,
“
Co
o
p
e
ra
ti
v
e
se
n
s
in
g
a
m
o
n
g
c
o
g
n
it
iv
e
ra
d
io
s,”
in
Pro
c
.
IEE
E
I
n
t.
Co
n
f.
o
n
Co
mm
u
n
.
,
Ju
n
e
2
0
0
6
,
v
o
l.
4
,
p
p
.
1
6
5
8
–
1
6
6
3
.
[
8
]
G
h
a
se
m
i
A
,
S
o
u
sa
E
S
,
“
Co
ll
a
b
o
ra
ti
v
e
S
p
e
c
tru
m
S
e
n
sin
g
f
o
r
Op
p
o
r
tu
n
isti
c
A
c
c
e
ss
in
F
a
d
in
g
En
v
iro
n
m
e
n
ts”
,
P
r
o
c
e
e
d
in
g
s o
f
Dy
S
P
A
N 2
0
0
5
.
B
a
lt
im
o
re
,
M
a
ry
la
n
d
US
A:
IEE
E
P
re
ss
,
2
0
0
5
:
1
3
1
–
1
3
6
.
[
9
]
Re
n
z
o
r
M
Di,
G
ra
z
io
si
F
,
S
a
n
y
u
c
c
i
CI
F
,
“
Co
o
p
e
ra
ti
v
e
S
p
e
c
tru
m
S
e
n
sin
g
in
Co
g
n
it
iv
e
Ra
d
io
Ne
tw
o
rk
s
o
v
e
r
Co
rre
late
d
L
o
g
-
No
rm
a
l
S
h
a
d
o
w
in
g
”,
P
r
o
c
e
e
d
in
g
s o
f
V
T
C
2
0
0
9
-
S
p
rin
g
.
Ba
rc
e
lo
n
a
,
S
p
a
i
n
:
IEE
E
Pr
e
ss
,
2
0
0
9
:1
–
5.
[
1
0
]
M
ish
ra
S
M
,
S
a
h
a
i
A
,
Bro
d
e
rse
n
Rw
,
“
Co
o
p
e
ra
ti
v
e
S
e
n
sin
g
a
m
o
n
g
Co
g
n
it
iv
e
Ra
d
io
s”
,
P
r
o
c
e
e
d
in
g
s
o
f
ICC’0
6
.
Ista
n
b
u
l
,
T
u
rk
e
y
:
IEE
E
Pre
ss
,
2
0
0
6
:
1
6
5
8
–
1
6
6
3
.
[
1
1
]
N.
A
r
m
i,
N.M
.
S
a
a
d
&
M
.
A
rsh
a
d
,
“
Ha
rd
De
c
isio
n
F
u
si
o
n
b
a
se
d
Co
o
p
e
ra
ti
v
e
S
p
e
c
tru
m
S
e
n
sin
g
i
n
Co
g
n
it
iv
e
Ra
d
io
S
y
st
e
m
”
,
IT
B
J
.
ICT
V
o
l
.
3
,
No
.
2
,
p
p
.
1
0
9
-
1
2
2
,
2
0
0
9
.
[
1
2
]
H.
Urk
o
w
it
z
,
“
En
e
rg
y
d
e
tec
ti
o
n
o
f
u
n
k
n
o
w
n
d
e
t
e
rm
in
isti
c
sig
n
a
ls,
”
P
ro
c
.
IE
EE
,
v
o
l
.
5
5
,
p
p
.
5
2
3
–
5
3
1
,
A
p
r.
1
9
6
7
.
[
1
3
]
F
.
F
.
Dig
h
a
m
,
M
.
-
S
.
A
lo
u
in
i,
a
n
d
M
.
K.
S
im
o
n
,
“
On
t
h
e
e
n
e
rg
y
d
e
tec
ti
o
n
o
f
u
n
k
n
o
w
n
sig
n
a
ls
o
v
e
r
f
a
d
in
g
c
h
a
n
n
e
ls,
”
in
Pro
c
.
I
EE
E
I
n
t.
C
o
n
f.
o
n
Co
mm
u
n
.
M
a
y
2
0
0
3
,
v
o
l.
5
,
p
p
.
3
5
7
5
–
3
5
7
9
.
[
1
4
]
M
a
,
G
.
Zh
a
o
,
a
n
d
Y.
L
i,
“
S
o
f
t
c
o
m
b
in
a
ti
o
n
a
n
d
d
e
tec
ti
o
n
f
o
r
c
o
o
p
e
ra
ti
v
e
sp
e
c
tru
m
se
n
sin
g
in
c
o
g
n
it
iv
e
ra
d
io
n
e
tw
o
rk
s,”
IEE
E
T
ra
n
s.
W
ire
les
s.
Co
mm
u
n
.
v
o
l.
7
,
n
o
.
1
1
,
p
p
.
4
5
0
2
–
4
5
0
7
,
No
v
.
2
0
0
8
.
[
1
5
]
L
i
Jia
ju
n
,
T
a
n
Z
h
e
n
h
u
i,
A
i
Bo
a
n
d
Ya
n
g
S
h
a
n
,
“
W
e
ig
h
ted
Ha
rd
C
o
m
b
in
a
ti
o
n
f
o
r
Co
o
p
e
ra
ti
v
e
S
p
e
c
tru
m
S
e
n
sin
g
in
Co
g
n
it
iv
e
Ra
d
io
Ne
tw
o
rk
s”
,
Res
e
a
rc
h
p
a
p
e
r
,
p
p
.
1
1
1
-
1
1
6
,
2
0
1
1
.
BI
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RAP
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Ba
c
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