The signal subspace decomposition method for extracting harmonic signal

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 abi...

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Main Authors: Dengwei Wang, Yinghua Lu
Format: Conference Proceeding
Language:English
Subjects:
Additive white noise
Frequency estimation
Gaussian noise
Linear antenna arrays
Matrix decomposition
Multiple signal classification
Phased arrays
Sensor arrays
Vectors
White noise
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Yinghua Lu
description 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
doi_str_mv 10.1109/ITW2.2006.323755
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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. 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subjects Additive white noise
Frequency estimation
Gaussian noise
Linear antenna arrays
Matrix decomposition
Multiple signal classification
Phased arrays
Sensor arrays
Vectors
White noise
title The signal subspace decomposition method for extracting harmonic signal
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