A Iterative Eigenvector Estimation Algorithm and its Application in Spectral Estimation
Through improvement of subspace iteration method and utilization of deflation technique,a new iterative algorithm for eigenvector estimation is presented. Compared to current eigenvector calculation methods such as SVD,the proposed algorithm can effectively reduce calculation burden and complexity with high estimation accuracy,and it is easily implemented on time. Using this algorithm in spectrum estimation,it is known by computer simulation that the proposed algorithm attains higher spectrum estimation solution than that of standard MUSIC spectrum estimation method and needs less calculation,which proves the effectiveness and advantage of the algorithm.
iterative eigenvector estimation subspace iteration deflation technique spectral estimation
Qi Sun Xiaohui Zhao
College of Communication Engineering,Jilin University,Changchun,China School of Electronics & Information Engineering,Shenyang Aerospace University,Shenyang,China
国际会议
西安
英文
1013-1016
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）