Joint DOA and Fundamental Frequency Estimation Methods based on 2-D Filtering

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Abstract

It is well-known that filtering methods can be used for processing of signals in both time and space. This comprises, for example, fundamental frequency estimation and direction-of-arrival (DOA) estimation. In this paper, we propose two novel 2-D filtering methods for joint estimation of the fundamental frequency and the DOA of spatio-temporarily sampled periodic signals. The first and simplest method is based on the 2-D periodogram, whereas the second method is a generalization of the 2-D Capon method. In the experimental part, both qualitative and quantitative measurements show that the proposed methods are well-suited for solving the joint estimation problem. Furthermore, it is shown that the methods are able to resolve signals separated sufficiently in only one dimension. In the case of closely spaced sources, however, the 2-D Capon-based method shows the best performance.
Original languageEnglish
JournalProceedings of the European Signal Processing Conference
Volume2010
Pages (from-to)2091-2095
ISSN2076-1465
Publication statusPublished - 2010
EventEuropean Signal Processing Conference 2010 - Aalborg, Denmark
Duration: 23 Aug 201027 Aug 2010

Conference

ConferenceEuropean Signal Processing Conference 2010
CountryDenmark
CityAalborg
Period23/08/201027/08/2010

Fingerprint

Frequency estimation
Direction of arrival
Processing

Cite this

@inproceedings{63603615be6440a18747ad5a02379152,
title = "Joint DOA and Fundamental Frequency Estimation Methods based on 2-D Filtering",
abstract = "It is well-known that filtering methods can be used for processing of signals in both time and space. This comprises, for example, fundamental frequency estimation and direction-of-arrival (DOA) estimation. In this paper, we propose two novel 2-D filtering methods for joint estimation of the fundamental frequency and the DOA of spatio-temporarily sampled periodic signals. The first and simplest method is based on the 2-D periodogram, whereas the second method is a generalization of the 2-D Capon method. In the experimental part, both qualitative and quantitative measurements show that the proposed methods are well-suited for solving the joint estimation problem. Furthermore, it is shown that the methods are able to resolve signals separated sufficiently in only one dimension. In the case of closely spaced sources, however, the 2-D Capon-based method shows the best performance.",
author = "Jensen, {Jesper Rindom} and Christensen, {Mads Gr{\ae}sb{\o}ll} and Jensen, {S{\o}ren Holdt}",
year = "2010",
language = "English",
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journal = "Proceedings of the European Signal Processing Conference",
issn = "2076-1465",
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}

Joint DOA and Fundamental Frequency Estimation Methods based on 2-D Filtering. / Jensen, Jesper Rindom; Christensen, Mads Græsbøll; Jensen, Søren Holdt.

In: Proceedings of the European Signal Processing Conference, Vol. 2010, 2010, p. 2091-2095.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Joint DOA and Fundamental Frequency Estimation Methods based on 2-D Filtering

AU - Jensen, Jesper Rindom

AU - Christensen, Mads Græsbøll

AU - Jensen, Søren Holdt

PY - 2010

Y1 - 2010

N2 - It is well-known that filtering methods can be used for processing of signals in both time and space. This comprises, for example, fundamental frequency estimation and direction-of-arrival (DOA) estimation. In this paper, we propose two novel 2-D filtering methods for joint estimation of the fundamental frequency and the DOA of spatio-temporarily sampled periodic signals. The first and simplest method is based on the 2-D periodogram, whereas the second method is a generalization of the 2-D Capon method. In the experimental part, both qualitative and quantitative measurements show that the proposed methods are well-suited for solving the joint estimation problem. Furthermore, it is shown that the methods are able to resolve signals separated sufficiently in only one dimension. In the case of closely spaced sources, however, the 2-D Capon-based method shows the best performance.

AB - It is well-known that filtering methods can be used for processing of signals in both time and space. This comprises, for example, fundamental frequency estimation and direction-of-arrival (DOA) estimation. In this paper, we propose two novel 2-D filtering methods for joint estimation of the fundamental frequency and the DOA of spatio-temporarily sampled periodic signals. The first and simplest method is based on the 2-D periodogram, whereas the second method is a generalization of the 2-D Capon method. In the experimental part, both qualitative and quantitative measurements show that the proposed methods are well-suited for solving the joint estimation problem. Furthermore, it is shown that the methods are able to resolve signals separated sufficiently in only one dimension. In the case of closely spaced sources, however, the 2-D Capon-based method shows the best performance.

M3 - Conference article in Journal

VL - 2010

SP - 2091

EP - 2095

JO - Proceedings of the European Signal Processing Conference

JF - Proceedings of the European Signal Processing Conference

SN - 2076-1465

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