摘要
提出了一种新的二维MUSIC方法。由于同时利用了矩阵的特征值和特征向量,其搜索(或求根)过程由2个一维过程组成,避开了二维谱峰搜索且无需配对。通过分析,证明该方法不存在兼并问题,阵元利用率较高。理论分析和仿真结果表明算法的有效性。
A new approach of 2-D MUSIC algorithm was proposed. Using the eigenvector and the eigenvalue of the covariance matrix simultaneously, the method was composed of two one-dimension searching and avoided the costly 2-D searching. The pairings of the estimated parameters were automatically determined and the estimation precision was high. It was proved that the algorithm was valid even in the case that one of two parameters was same. Simulation results are presented to demonstrate the performance of the proposed method.
出处
《通信学报》
EI
CSCD
北大核心
2006年第6期16-20,共5页
Journal on Communications
基金
国家自然科学基金资助项目(60272086)~~
