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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 />

287

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