A Novel Weak Signal Detector Based on Power Spectrum Entropy Under Low SNR

Abstract

Aiming at the problem of spectrum monitoring of low-power wideband signals in complex electromagnetic environments, this paper proposes a double threshold weak signal detector based on the information entropy of the frequency-domain power spectrum. Based on the theoretical model of information entropy, the signal's power spectrum entropy is used as the test statistic to construct a double decision threshold, which realizes the blind detection of the hidden low-power weak signal under the strong noise interference. Simulation results show that when the received signal-to-noise ratio is -16dB, the signal detection rate is greater than 80%, which is better than other traditional algorithms. Experiments in the scene of non-cooperative spectrum monitoring further prove the effectiveness of this method in practical application.