Broadband distributed Bayes compression spectrum sensing method
A Bayesian compression and spectrum sensing technology, applied in the field of computer communication, can solve the problem that the signal reconstruction algorithm does not take into account the prior knowledge of the signal, etc.
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Embodiment 1
[0039] Such as figure 1 As shown, the cognitive radio system involved in the present invention uses a wide range of frequency bands, and the primary user and the secondary user share the frequency band within the entire wide frequency range. Opportunity to access. In order to facilitate research, the present invention divides the whole broadband spectrum into several sub-frequency bands, from figure 1 It can be seen that the black part of the sub-frequency band indicates that it is occupied by the primary user, and the primary user randomly occupies the sub-frequency band, and the blank part of the sub-frequency band indicates that it is not occupied and can be used by secondary users. The amplitude of each sub-band can be unequal, and the occupied sub-band is a small part compared to the entire broadband, so its spectrum data is sparse in the entire broadband range, and it has the possibility of being compressed in the frequency domain. exist figure 1 In , the spectrum sen...
Embodiment 2
[0060] Such as image 3 As shown, the present invention assumes that the total bandwidth that the cognitive user needs to detect is BHz, which can be continuously and evenly divided into L non-overlapping sub-bands, and the edge position frequency of each sub-band is respectively f 0 ... f L+1 , and have f i j (ij , assuming it satisfies the conditional probability p(s j |β j ), let the reciprocal of the noise variance of the jth user be α 0,j =1 / σ j 2 , the measured value y of the jth user j in condition s j and alpha 0,j The following is a random process with conditional distribution probability p(y j |s j ,α j,0 ), where α 0,j and beta j are hyperparameters.
[0061] Method flow:
[0062] The invention provides a wideband distributed Bayesian compressed spectrum sensing method, which comprises the following steps:
[0063] Step 1: J cognitive users perceive the signal to be tested, so that the signal passes through J AIC converters, and the J noise variance ...
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