基于相关运算的低信噪比盲源分离抗干扰算法  

Blind Source Separation Anti-Jamming Algorithm with Low Signal-to-Noise Ratio based on Correlation Operation

作　　者：曹越 张杭 朱宏鹏 秦媛 李炯 CAO Yue;ZHANG Hang;ZHU Hongpeng;Qin Yuan;LI Jiong(Army Engineering University of PLA,Nanjing Jiangsu 210007,China;Space Engineering University,Beijing 101416,China)

机构地区：[1]陆军工程大学,江苏南京210007 [2]航天工程大学,北京101416

出　　处：《通信技术》2021年第7期1556-1564,共9页Communications Technology

基　　金：国家自然科学基金(No.61671475);国家自然科学基金(No.62001516)。

摘　　要：针对传统盲源分离算法在低信噪比时分离性能较差的情况,提出一种基于相关运算的盲源分离抗干扰算法。该算法通过对训练序列进行分段相关运算并进行信号能量累积,实现信噪比提高。该算法实现简单,可改善低信噪比条件下的扰信分离效果。仿真结果表明,改善程度与训练序列的相关性及其分段长度成正比,并且在信干比为-15 dB时,至少可以在信噪比为-11 dB情况下使得通信信号解调后的误码率达到10^(-4)量级。Aiming at the poor separation performance of traditional blind source separation algorithms at low signal-to-noise ratios,a blind source separation anti-jamming algorithm based on correlation operations is proposed.This algorithm improves the signal-to-noise ratio by performing segmental correlation operations on the training sequence and accumulating signal energy.The algorithm is simple to implement and can improve the interference separation effect under the condition of low signal-to-noise ratio.The simulation results indicate that the degree of improvement is proportional to the correlation of the training sequence and its segment length.And when the signal-to-interference ratio is-15 dB,the bit error rate after demodulation of the communication signal can reach 10^(-4) at least when the signal-to-noise ratio is-11 dB.

关 键 词：相关运算 训练序列 低信噪比 盲源分离 抗干扰 

分 类 号：TN911[电子电信—通信与信息系统]