摘要
自适应权向量法（ＡＷＶＭ） 检测弱信号常用ＬＭＳ滤波算法． 这种方法的最大缺陷之一是滤波器的权系数仅根据总误差值来调整的． 因此， 这些权系数相互有牵连， 这是ＬＭＳ自适应滤波器收敛响应较慢的原因之一． 克服这一缺点的一种方法是采用格型滤波算法． 应用格型ＬＳＬ滤波于ＡＷＶＭ 中检测噪声中的高频弱信号， 并应用ＤＳＰ实现高速数据处理，
Adaptive weight vector method (AWVM) in detecting weak signal often uses LMS algorithm The severe limitation of the algorithm is that weight coefficients of the filter are adjusted only using total error value For this reason,those weight coefficients are related with each other,which is one of the reasons of the slow convergence response of LMS algorithm.One method overcoming the fault is to use lattice algorithm.This paper applies lattice LSL algorithm into AWVM for detecting high frequency weak signal from noise and for realizing high speed data processing The simulated results show its feasibility and reality as well as superiority
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
1999年第5期22-26,共5页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
国家"八五"自然科学研究课题
关键词
自适应权向量法
格型滤波器
微弱信号
DSP
检测
adaptive weight vector method
lattice filter
weak signal
departure weight vector
DSP
