Two stage DOA and Fundamental Frequency Estimation based on Subspace Techniques

Zhenhua Zhou, Mads Græsbøll Christensen, Hing-Cheung So

Research output: Contribution to journalConference article in JournalResearchpeer-review

3 Citations (Scopus)
271 Downloads (Pure)

Abstract

In this paper, the problem of fundamental frequency and direction-of-arrival (DOA) estimation for multi-channel harmonic sinusoidal signal is addressed. The estimation procedure consists of two stages. Firstly, by making use of the subspace technique and Markov-based eigenanalysis, a multi- channel optimally weighted harmonic multiple signal classification (MCOW-HMUSIC) estimator is devised for the estimation of fundamental frequencies. Secondly, the spatio- temporal multiple signal classification (ST-MUSIC) estimator is proposed for the estimation of DOA with the estimated frequencies. Statistical evaluation with synthetic signals shows the high accuracy of the proposed methods compared with their non-weighting versions.
Original languageEnglish
JournalInternational Conference on Signal Processing. Proceedings
Volume1
Pages (from-to)210-214
DOIs
Publication statusPublished - 2012
Event11th IEEE International Conference on Signal Processing - Beijing, China
Duration: 21 Oct 201225 Oct 2012

Conference

Conference11th IEEE International Conference on Signal Processing
LocationBeijing
CountryChina
Period21/10/201225/10/2012

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Frequency estimation
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Cite this

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title = "Two stage DOA and Fundamental Frequency Estimation based on Subspace Techniques",
abstract = "In this paper, the problem of fundamental frequency and direction-of-arrival (DOA) estimation for multi-channel harmonic sinusoidal signal is addressed. The estimation procedure consists of two stages. Firstly, by making use of the subspace technique and Markov-based eigenanalysis, a multi- channel optimally weighted harmonic multiple signal classification (MCOW-HMUSIC) estimator is devised for the estimation of fundamental frequencies. Secondly, the spatio- temporal multiple signal classification (ST-MUSIC) estimator is proposed for the estimation of DOA with the estimated frequencies. Statistical evaluation with synthetic signals shows the high accuracy of the proposed methods compared with their non-weighting versions.",
author = "Zhenhua Zhou and Christensen, {Mads Gr{\ae}sb{\o}ll} and Hing-Cheung So",
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Two stage DOA and Fundamental Frequency Estimation based on Subspace Techniques. / Zhou, Zhenhua; Christensen, Mads Græsbøll; So, Hing-Cheung.

In: International Conference on Signal Processing. Proceedings, Vol. 1, 2012, p. 210-214.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

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AB - In this paper, the problem of fundamental frequency and direction-of-arrival (DOA) estimation for multi-channel harmonic sinusoidal signal is addressed. The estimation procedure consists of two stages. Firstly, by making use of the subspace technique and Markov-based eigenanalysis, a multi- channel optimally weighted harmonic multiple signal classification (MCOW-HMUSIC) estimator is devised for the estimation of fundamental frequencies. Secondly, the spatio- temporal multiple signal classification (ST-MUSIC) estimator is proposed for the estimation of DOA with the estimated frequencies. Statistical evaluation with synthetic signals shows the high accuracy of the proposed methods compared with their non-weighting versions.

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