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Time-Frequency MUSIC.

Bibliographic Details
Main Authors:	Belouchrani, Adel., Amin, Moeness G.
Format:	Villanova Faculty Authorship
Language:	English
Published:	1999
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173765

Main Authors:

Belouchrani, Adel., Amin, Moeness G.

Format:

Villanova Faculty Authorship

Language:

English

Published:

1999

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173765

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spelling	Time-Frequency MUSIC. Belouchrani, Adel. Amin, Moeness G. A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial timefrequency distribution matrices. Once the signal and noise subspaces are estimated, any subspace based approach, including the multiple signal classification (MUSIC) algorithm, can be applied for direction of arrival (DOA) estimation. Performance of the proposed time-frequency MUSIC (TF-MUSIC) for an impinging chirp signal using three different kernels is numerically evaluated. 1999 Villanova Faculty Authorship vudl:173765 IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 5, MAY 1999. en
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dc.creator_txt_mv	Belouchrani, Adel. Amin, Moeness G.
dc.description_txt_mv	A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial timefrequency distribution matrices. Once the signal and noise subspaces are estimated, any subspace based approach, including the multiple signal classification (MUSIC) algorithm, can be applied for direction of arrival (DOA) estimation. Performance of the proposed time-frequency MUSIC (TF-MUSIC) for an impinging chirp signal using three different kernels is numerically evaluated.
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author	Belouchrani, Adel. Amin, Moeness G.
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title	Time-Frequency MUSIC.
title_full	Time-Frequency MUSIC.
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Time-Frequency MUSIC.
Belouchrani, Adel.
Amin, Moeness G.
A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial timefrequency distribution matrices. Once the signal and noise subspaces are estimated, any subspace based approach, including the multiple signal classification (MUSIC) algorithm, can be applied for direction of arrival (DOA) estimation. Performance of the proposed time-frequency MUSIC (TF-MUSIC) for an impinging chirp signal using three different kernels is numerically evaluated.
1999
Villanova Faculty Authorship
vudl:173765
IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 5, MAY 1999.
en

dc.title_txt_mv

Time-Frequency MUSIC.

dc.creator_txt_mv

Belouchrani, Adel.
Amin, Moeness G.

dc.description_txt_mv

A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial timefrequency distribution matrices. Once the signal and noise subspaces are estimated, any subspace based approach, including the multiple signal classification (MUSIC) algorithm, can be applied for direction of arrival (DOA) estimation. Performance of the proposed time-frequency MUSIC (TF-MUSIC) for an impinging chirp signal using three different kernels is numerically evaluated.

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Belouchrani, Adel.
Amin, Moeness G.

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Amin, Moeness G.
Time-Frequency MUSIC.

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Amin, Moeness G.

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subpages

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Time-Frequency MUSIC.

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