火力与指挥控制2025，Vol.50Issue(5)：131-139,9.DOI:10.3969/j.issn.1002-0640.2025.05.019
基于MBSBL的DSSS系统信号重构与窄带干扰抑制方法研究
Research on Signal Reconstruction and Narrowband Interference Suppression Method for DSSS System Based on MBSBL
刘源 1刘振国 1唐楚馨 1贾进文 1王惠亮1
作者信息
- 1. 北方自动控制技术研究所,太原 030006
- 折叠
摘要
Abstract
To address the drawbacks of high sampling rates and susceptibility to narrowband interference in direct sequence spread spectrum(DSSS)systems,a matrix-based signal reconstruction and narrowband interference suppression method is proposed.This method is based on the multiple measurement vector block sparse Bayesian learning(MBSBL)framework,and utilizes the MBSBL-FM algorithm to reconstruct the original signal from the compressed signal of matrix-structure and uses block structure information to identify and suppress narrowband interference.The simulation results demonstrate that the proposed method can accurately reconstruct DSSS signals,and can reduce system sampling rate requirements,and achieves higher reconstruction accuracy and efficiency compared to those of BSBL-FM and other reconstruction algorithms.Moreover,it exhibits superior accuracy and robustness in narrowband interference identification and suppression compared to those of traditional frequency domain threshold methods.关键词
直接序列扩频/窄带干扰/压缩感知/块稀疏贝叶斯学习/信号重构Key words
direct sequence spread spectrum/narrowband interference/compressed sensing/block sparse bayesian learning/signal reconstruction分类
信息技术与安全科学引用本文复制引用
刘源,刘振国,唐楚馨,贾进文,王惠亮..基于MBSBL的DSSS系统信号重构与窄带干扰抑制方法研究[J].火力与指挥控制,2025,50(5):131-139,9.
