Communication Signal Processing at Low SNR Using Higher-Order Spectrum

Zhong Zhang, Weichao Yang, Qun Ding · 2008

Based on the suppression of Gaussian noise using higher-order statistical quantity, processing of several communication signals --BPSK, OQPSK, MSK, GMSK with Gaussian noise at a low SNR was carried out. Simulation results prove that BPSK signal has a good processing result at low SNR using bi-spectrum. Target detection at low SNR was carried out under Non-Gaussian noise, which proves that a low SNR target detection using higher-order cumulants has higher detecting rate in symmetric distribution noise. It founds theoretical base for the application of communication signal target detection.

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