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

6 Citations (Scopus)
349 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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