Title :
An Iterative Eigenvector Estimation Algorithm and its Application in Spectral Estimation
Author :
Sun, Qi ; Zhao, Xiao-hui
Author_Institution :
Coll. of Commun. Eng., Jilin Univ., Changchun, China
Abstract :
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.
Keywords :
eigenvalues and eigenfunctions; estimation theory; iterative methods; signal processing; calculation burden reduction; computer simulation; deflation technique; estimation accuracy; iterative eigenvector estimation algorithm; spectral estimation; subspace iteration method; Correlation; Estimation; Multiple signal classification; Signal processing algorithms; Spectral analysis; Standards; Vectors; deflation technique; iterative eigenvector estimation; spectral estimation; subspace iteration;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.360
