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.

fYear

2006

fDate

22-26 Oct. 2006

Firstpage

714

Lastpage

717

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ITW2.2006.323755

Filename

4119393