低频电磁噪声实验及通信处理分析

摘要

低频段通信中强环境噪声会极大地降低通信性能.本文基于噪声实测实验,开展噪声特性分析和通信处理方法研究.首先通过噪声模拟实验,采集实测噪声数据.特性分析结果说明,低频噪声具有很强有色性,需引入噪声抑制处理.然后,分析了多种通信信号处理方案,包括传统通信处理、白化处理及滤波器设计处理.误符号率仿真表明滤波器设计算法能够很好地降低误符号率,且能避免白化滤波不稳健的缺点.%In low frequency communications, the powerful environmental noise can greatly degrade the symbol error ratio (SER) performances. This paper designs an experiment of low frequency noise environment simulation and samples the noise data. Analysis on real noise spectra shows that low frequency noise can be regarded as colored noise, which suggests the necessity of noise suppression in communication processing. Then, several communication processing algorithms are in-troduced, including the traditional matched filter, the whitening filter, and a filter design scheme. Simulation results of SER performances show that the designed filter is the optimal to decrease the SER effectively and robustly.