摘要
针对空间信号源相关时波达角(direction of arrival,DOA)估计算法对信源的分辨力随信源间相关性增加而降低的问题,提出了基于Toeplitz矩阵的多重信号分类算法(Toep-MUSIC)的改进算法。改进算法利用信源间相关性和信噪比对子空间类DOA估计算法分辨力的影响,在Toep-MUSIC算法基础上,通过对Toeplitz重构矩阵的处理,改变了等效信源的相关系数和信噪比,从而使DOA估计分辨力得到提高。通过仿真实验证明了算法的有效性。
An improved Toeplitz multiple signal classification （Toep-MUSIC） algorithm is proposed according to the problem that the resolution of direction-of-arrival （DOA） estimation for space sources decreases with the increase of the correlation when the sources are coherent. Correlation and signal-to-noise ratio （SNR） of the space sources can affect the resolution of DOA estimation of subspace algorithms. Using this relation, the algorithm changes the correlation and SNR of the equivalent sources by processing the Toeplitz matrix based on the Toep-MUSIC algorithm, so that the resolution of DOA estimation can be improved. The principle of the algorithm is given, and the effectiveness is verified by simulation experiments.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第7期1544-1546,1576,共4页
Systems Engineering and Electronics
关键词
参数估计
波达角
TOEPLITZ矩阵
相干系数
信噪比
parameter estimation
direction-of-arrival
Toeplitz matrix
coherent coefficient
signal-to-noise ratio
