Robust Detection Method of Matched Filtering in Impulsive Noise Environment
Liang Ning-li · Jisuanji gongcheng · 2010
A robust detection method of Matched Filtering(MF) is proposed to improve performance of conventional local optimization MF detection in impulsive noise environment.A nonlinear transform of observed signal is found by probability density function of impulsive noise distribution,and MF detection is used to transformed signal.The method is dull to characteristic exponent of impulsive noise,it can restrain effectively impulsive noise.Simulation results on MF detection of BPSK modulation show that the proposed method has better detection performance than conventional local optimization MF in impulsive noise and is robust to noise characteristic exponent.