Title :
The signal subspace decomposition method for extracting harmonic signal
Author :
Dengwei Wang ; Yinghua Lu
Author_Institution :
School of the Telecommunication Networks and Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China. E-mail: lcpaper06@gmail.com
Abstract :
The Subspace Decomposition Method for extracting harmonic character is discussed. The theory of the crosscorrelation matrix based MUSIC method in Gaussian white noise is analysised. A method of subspace decomposition is proposed for the purpose of suppressing noise interference and increasing the ability of recognizing target and multiple signal classification, an algorithm of harmonic retrieval, was introduced to extract harmonic frequencies. Then the frequency of harmonics is estimated by setting threshold in MUSIC power spectrum curve. The simulation proves the method is correct and feasible.
Keywords :
Additive white noise; Frequency estimation; Gaussian noise; Linear antenna arrays; Matrix decomposition; Multiple signal classification; Phased arrays; Sensor arrays; Vectors; White noise;
Conference_Titel :
Information Theory Workshop, 2006. ITW '06 Punta del Este. IEEE
Conference_Location :
Punta del Este, Uruguay
Print_ISBN :
1-4244-0035-X
Electronic_ISBN :
1-4244-0036-8
DOI :
10.1109/ITW.2006.322913