摘要
利用实值信号特性提高波达方向(direction of arrival,DOA)估计性能,提出一种新的共轭多重信号分类(conjugate multiple signal classification,CMUSIC)算法。先拼接阵列上的接收数据矩阵和其共轭矩阵,再利用新矩阵中数据间的均匀延迟关系进行矩阵重构,对其奇异值分解获得信号子空间。CMUSIC可充分利用信号的实值特点,对多于阵元数的信号进行测向,不仅可以处理非相干信号,还可以处理相干信号,获得的测向精度优于多重信号分类(multiple signal classification,MUSIC)算法和空间平滑算法。仿真实验结果证实了CMUSIC算法的有效性。
By using the features of real signals to improve direction of arrival (DOA) performance, a novel conjugate multiple signal classification (CMUSIC) algorithm for real signals was presented. In this algorithm, first the received array data matrix was concatenated with their conjugate component. And then, the uniform delay relation of the new data matrix was used to reconstruct. Finally, the signal-subspace was obtained by using singular value decomposition. CMUSIC is able to handle more sources than sensors and estimate the coherent signal source' DOA, having better angular precision than MUSIC and spatial smoothing algorithm. Simulation results verify the effectiveness of the proposed algorithm.
出处
《重庆邮电大学学报(自然科学版)》
北大核心
2010年第2期146-150,共5页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
国家自然科学基金资助项目(60702026)
四川省青年科技基金资助项目(09ZQ026-040)~~
关键词
阵列信号处理
DOA估计
空间平滑算法
多重信号分数
array signal processing
direction of arrival (DOA) estimation
spatial smoothing algorithm
multiple signal classification (MUSIC)