A Cooperative Spectrum Detection Technique in Non-Gaussian ...
A Cooperative Spectrum Detection Technique in Non-Gaussian ...
A Cooperative Spectrum Detection Technique in Non-Gaussian ...
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value of all the cooperative cognitive users. Then, the selected users cooperatively detect the<br />
primary users signal based on OR rule. The f<strong>in</strong>al decision declares whether the primary user is<br />
present or not. The cooperative detection probability and the cooperative false alarm probability<br />
when L cognitive users take participate <strong>in</strong> the cooperation are given by [9] :<br />
If the cooperative probability of false alarm<br />
probability of false alarm, , is given by<br />
P<br />
fa , i<br />
L<br />
−∏ (1 −<br />
P fa<br />
= 1 P , P d<br />
= 1 − ∏ (1 − P<br />
(15)<br />
, c<br />
fa,<br />
i<br />
)<br />
1<br />
L<br />
, c<br />
d , i<br />
)<br />
1<br />
P<br />
fa ,<br />
is to be fixed, from (15) the <strong>in</strong>dividual CU’s<br />
c<br />
P L<br />
fa, i<br />
1 − (1 − Pfa,<br />
c<br />
)<br />
= (16)<br />
From (13) and (16), the threshold of each user for the Rao detector is<br />
' −1<br />
1<br />
2<br />
γ<br />
i<br />
= ( Q ( P<br />
fa , i<br />
))<br />
2<br />
i = 0,1, L<br />
(17)<br />
F<strong>in</strong>ally, the cooperative detection probability based on the OR rule is<br />
2<br />
where λ<br />
i<br />
= SNR<br />
iσ<br />
i I<br />
f , i<br />
.<br />
P<br />
L<br />
∏<br />
= 1 − (1 −P<br />
)<br />
dc , di ,<br />
1<br />
L<br />
'<br />
'<br />
1 ∏(1 ( Q( ri λi) Q( ri λi)))<br />
1<br />
= − − − + +<br />
(18)<br />
4. Simulation Results<br />
4.1 Mixed-<strong>Gaussian</strong> Rao and <strong>Gaussian</strong> Rao detection<br />
Figure 3. ROC for Mixed-<strong>Gaussian</strong> Rao and <strong>Gaussian</strong> Rao detection<br />
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