Title :
The signal subspace decomposition method for extracting harmonic signal
Author :
Wang, Dengwei ; Lu, Yinghua
Author_Institution :
Sch. of Telecommun. Networks & Technol., Beijing Univ. of Posts & Telecommun.
Abstract :
The subspace decomposition method for extracting harmonic character is discussed. The theory of the cross-correlation matrix based MUSIC method in Gaussian white noise is analysed. A method of subspace decomposition is proposed for the purpose of suppressing noise interference and increasing the ability of recognizing targets 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 :
Gaussian noise; correlation methods; harmonics; interference suppression; matrix algebra; signal classification; signal denoising; Gaussian white noise; MUSIC power spectrum curve; cross-correlation matrix; harmonic character extraction; harmonic frequency extraction; harmonic retrieval; harmonic signal extraction; multiple signal classification; noise interference suppression; signal subspace decomposition method; target recognition; 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 Chengdu. IEEE
Conference_Location :
Chengdu
Print_ISBN :
1-4244-0067-8
Electronic_ISBN :
1-4244-0068-6
DOI :
10.1109/ITW2.2006.323755
