Fig. 2
From: A novel cooperative spectrum signal detection algorithm for underwater communication system
Normalized error performance of different algorithms under white Gaussian noise. In the wideband spectrum signal detection, there are various kinds of interference in the channel, and the performance of the algorithm is also affected by the noise. However, from the derivation of the wideband spectrum cooperative perception algorithm based on compressed sensing, we find that the parameters of the updating iterative process have nothing to do with noise variance, so this part of the perception algorithm can effectively reduce the impact of noise, eliminate the uncertainty of noise variance SNR, and improve the accuracy of the detection algorithm. At different noise levels, the performance of the algorithm is verified. In Gaussian white noise, Fig. 2 describes the normalized error performance of different algorithms. The comparison shows that the paper algorithm based on compressed sensing has advantages over other algorithms at a given noise level