Title :
Communication Signal Processing at Low SNR Using Higher-Order Spectrum
Author :
Zhang, Zhong ; Yang, Weichao ; Ding, Qun
Author_Institution :
Dept. of Electron. Eng., Heilongjiang Univ., Harbin
Abstract :
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.
Keywords :
Gaussian noise; higher order statistics; interference suppression; minimum shift keying; quadrature phase shift keying; signal detection; spectral analysis; BPSK; GMSK; Gaussian filtered minimum shift keying; Gaussian noise suppression; OQPSK; communication signal processing; higher-order cumulant; higher-order spectrum; higher-order statistical quantity; low signal-to-noise ratio; quadrature phase shift keying; symmetric distribution noise; target detection; Binary phase shift keying; Gaussian noise; Higher order statistics; Object detection; Probability; Random variables; Signal detection; Signal processing; Signal to noise ratio; Testing;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.62
