Idle frequency spectrum detecting method by using cyclic spectrum statistic value in cognitive radio
A cognitive radio and idle spectrum technology, applied in the fields of cognitive radio idle spectrum detection and idle spectrum detection, can solve the problem of weak signal of the authorized main user in sensing user detection, and achieve the effect of resisting noise uncertainty and interference.
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specific Embodiment approach 1
[0021] Specific embodiment one: the steps of this embodiment are as follows: step one: first perceive the real part of the cyclic spectrum of the signal received by the user Modeled under a white Gaussian noise channel as a random variable with the following mean and variance:
[0022] Z ~ Norm ( 0 , N 2 σ 4 2 ( N - 1 ) 2 ...
specific Embodiment approach 2
[0034] Embodiment 2: This embodiment is a further description of step 1 in Embodiment 1. The process of deriving the probability density distribution of cyclic spectrum statistics adopts the following steps:
[0035] Step A: The discrete frequency domain solution expression of the cyclic spectrum of the signal is as follows,
[0036] S y a ( f ) = 1 ( N - 1 ) T sM Σ u = - ( M - 1 ) / 2 ( M - 1 ...
specific Embodiment approach 3
[0096] Specific embodiment three: the difference between this embodiment and embodiment one is that it also includes steps
[0097] 4. Calculate the accuracy probability of the test result:
[0098] When C<0,
[0099] P D = ∫ - ∞ T 1 2 π ( D + B ) e - ( z - C ) 2 2 ( D + B ) ...
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