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

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

65

Lastpage

69

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.62

Filename

4666812