摘要
MUSIC方法是空间谱估计中经典的子空间方法。提出了一种构造参考信号的预处理模型,提出了一种适合于MUSIC方法的多级维纳滤波结构。新方法避免了采样数据二阶统计的特征值分解,降低了运算量。仿真结果证明了方法的有效性。
MUSIC algorithm is a classic subspace method for spatial spectrum estimation.In this paper,a pretreatment model is presented to construct the reference signal.The configuration of the multi-stage Wiener filter that is fit for MUSIC algorithm is proposed.Due to avoiding eigenvalue decomposition of the sampling data autocorrelation,the new method has less computational complexity.Simulation results demonstrate the effectiveness of the new method.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2007年第4期91-94,共4页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(60502040)
关键词
阵列信号处理
多级维纳滤波
MUSIC算法
DOA估计
array signal processing
multi-stage Wiener filter
multiple signal classification algorithm
direction-of-arrival estimation
