Subspace iteration method based on practice of deflation technique and its application in spectral estimation
基于压缩技术的子空间迭代法及在谱估计中的应用

This paper presented a new iterative algorithm for eigenvector estimation based on subspace iteration method and utilization of deflation technique. 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 was easily implemented on time. The algorithm could attaint the higher accuracy eigenvector estimation solution of autocorrelation sequences. Its estimation effectiveness is illustrated by computer simulation. Spectrum estimation used the proposed algorithm is slightly higher accuracy and less calculation, than the MUSIC spectrum estimation algorithm applied by computer simulation, which proves the effectiveness and advantage of the algorithm.