摘要
为了克服强单音干扰条件下传统的线性预测滤波方法抗干扰性能不佳的问题,提出了一种联合奇异值分解(SVD)和非线性滤波抑制直接序列扩频通信(DS/SS)中单音干扰的方法,建立了相应的系统模型,并与传统的线性和非线性滤波器的误码率进行了比较.仿真结果表明,基于SVD的非线性滤波算法对干扰有很强的抑制能力,较好地改善了系统的性能.
In the presence of strong single tone interference in the direct sequence spread spectrum system (DS/SS), the traditional linear prediction filter performs poorly. An algorithm compounding single value decomposition (SVD) and nonlinear filtering technique to reject the single tone interference in a DS/SS system was presented. The simulation results show that the SVD-based nonlinear filtering algorithm has great interference suppression ability, and improves the performance of the system.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2005年第4期626-628,共3页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金资助项目(60172018)
关键词
奇异值分解
非线性滤波
扩频通信
最小均方
Adaptive algorithms
Bit error rate
Computer simulation
Direct sequence systems
Nonlinear filtering
Signal noise measurement
Spread spectrum communication
