摘要
线性调频(LFM)是扩频系统中常见的一种宽带干扰样式。提出了一种基于离散观测数据估计干扰参数的自适应时变LFM干扰对消算法,通过仿真分析了该算法的性能。结果表明,所提出的方法克服了复数自适应滤波器对LFM干扰的抑制能力随LFM信号扫频速率增加而降低的缺点;与基于时频分析的自适应时变LFM干扰对消算法相比,其运算量大大减小,是一种实用、有效的LFM干扰抑制算法。
Linear frequency modulation (LFM) interferences may be a kind of preferred wideband interferences in spread-spectrum. This paper has presented an adaptive time-varying LFM interferences cancellation algorithm based on parameters estimation from discrete-time observations. The performance of LFM interferences suppression has been analyzed by simulation. It is showed that this algorithm is a practicable and efficient LFM interferences suppression algorithm. On the one hand the algorithm can conquer the shortcoming of complex adaptive interferences suppression filters whose interferences rejection ability will degrade as the sweep rate of LFM signals increases, on the other hand it has small computational complexity in contrast to the adaptive time-varying cancellation algorithms based on time-frequency analysis.;
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2004年第1期8-10,17,共4页
Systems Engineering and Electronics
基金
国防科技预研项目资助课题(D99-21)
关键词
扩频系统
参数估计
线性调频
算法
spread-spectrum system
parameters estimation
linear frequency modulation
algorithms