脉冲噪声环境下的韧性匹配滤波检测方法

针对传统局部最优匹配滤波检测性能在脉冲噪声环境下会明显退化的问题，提出一种韧性匹配滤波检测方法。利用噪声分布概率密度函数求出非线性变换公式，对观测信号作非线性变换和匹配滤波检测。应用于BPSK调制信号的匹配检测滤波信号仿真表明，该算法在抑制脉冲噪声方面对噪声特征指数具有良好韧性，在脉冲噪声环境下比传统局部最优匹配滤波方法具有更好的检测性能。

Robust Detection Method of Matched Filtering in Impulsive Noise Environment

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.