摘要
利用阵列天线接收信号的空时平稳特性,在最大特征值法的基础上提出一种改进的DOA估计算法。通过对阵列输出采样协方差矩阵的修正,在低信噪比、小采样数的情况下,能有效改善DOA估计性能。理论分析和实验仿真表明,改进算法结构简单、收敛速度快,对多径信号具有很强的鲁棒性。
Making use of the temporal-spatial stationary characteristic of the array antenna received signals, an improved DOA estimation algorithm based on the largest eigenvalue is proposed. With modification of the sampling correlation matrix of array output signals, the performance of DOA estimation is improved greatly, especially on the condition that signal-to-noise ratio is low and the number of snapshot is not enough. Theoretical analyses and simulation results show that the improved method can converge rapidly with simple structure and has quite good robustness under severe multipath propagation circumstances.
出处
《电波科学学报》
EI
CSCD
北大核心
2006年第1期59-63,共5页
Chinese Journal of Radio Science
基金
重庆市自然科学基金资助项目(7367)
关键词
DOA估计
最大特征值法
空时平均
阵列天线
DOA estimation, algorithm based on the largest eigenvalue, temporal-spatial averaging, array antenna
