A Complex Bayesian Wideband Compressed Spectrum Sensing Method Based on Incomplete Reconstruction

Aiming at the blind detection problem of wide-band compressed spectrum sensing and the high computational complexity of Bayesian compressed sensing, this paper mainly proposes a wideband compressed spectrum sensing method based on complex Bayesian compressed sensing that does not require complete reconstruction. Compared with the wideband compressed spectrum sensing method, there is no need to know the signal’s sparsity. Compared with other Bayesian compressed sensing methods for wideband spectrum sensing, the difference is that it has applicability to complex signals and does not require complete reconstruction. Recover the original signal and then do wideband spectrum sensing. The advantage of this scheme is that it reduces the amount of calculation, facilitates engineering practice, and verifies the effectiveness of the method through simulation experiments.