Joint estimation of DOA and delay using TST-MUSIC in a wireless channel

Yung Yi Wang; Jiunn Tsair Chen; Wen Hsien Fang

doi:10.1109/97.895374

Joint estimation of DOA and delay using TST-MUSIC in a wireless channel

Yung Yi Wang
, Jiunn Tsair Chen
, Wen Hsien Fang

Research output: Contribution to journal › Journal Article › peer-review

15 Scopus citations

Abstract

A multiple signal classification (MUSIC)-based approach, time-space-time MUSIC (TST-MUSIC), is proposed to jointly estimate the directions of arrival (DOAs) and the propagation delays of a wireless channel. The MUSIC for the DOA and the propagation dealy estimation are referred to as the S-MUSIC and the T-MUSIC, respectively. Using the space-time characteristics of the multiray channel, the proposed algorithm in a tree structure combines the temporal filtering techniques and the spatial beamforming techniques with one S-MUSIC and two T-MUSICs. The incoming rays are thus grouped, isolated, and estimated.

Original language	English
Pages (from-to)	58-60
Number of pages	3
Journal	IEEE Signal Processing Letters
Volume	8
Issue number	2
DOIs	https://doi.org/10.1109/97.895374
State	Published - 02 2001
Externally published	Yes

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title = "Joint estimation of DOA and delay using TST-MUSIC in a wireless channel",

abstract = "A multiple signal classification (MUSIC)-based approach, time-space-time MUSIC (TST-MUSIC), is proposed to jointly estimate the directions of arrival (DOAs) and the propagation delays of a wireless channel. The MUSIC for the DOA and the propagation dealy estimation are referred to as the S-MUSIC and the T-MUSIC, respectively. Using the space-time characteristics of the multiray channel, the proposed algorithm in a tree structure combines the temporal filtering techniques and the spatial beamforming techniques with one S-MUSIC and two T-MUSICs. The incoming rays are thus grouped, isolated, and estimated.",

author = "Wang, \{Yung Yi\} and Chen, \{Jiunn Tsair\} and Fang, \{Wen Hsien\}",

year = "2001",

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doi = "10.1109/97.895374",

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AU - Wang, Yung Yi

AU - Chen, Jiunn Tsair

AU - Fang, Wen Hsien

PY - 2001/2

Y1 - 2001/2

N2 - A multiple signal classification (MUSIC)-based approach, time-space-time MUSIC (TST-MUSIC), is proposed to jointly estimate the directions of arrival (DOAs) and the propagation delays of a wireless channel. The MUSIC for the DOA and the propagation dealy estimation are referred to as the S-MUSIC and the T-MUSIC, respectively. Using the space-time characteristics of the multiray channel, the proposed algorithm in a tree structure combines the temporal filtering techniques and the spatial beamforming techniques with one S-MUSIC and two T-MUSICs. The incoming rays are thus grouped, isolated, and estimated.

AB - A multiple signal classification (MUSIC)-based approach, time-space-time MUSIC (TST-MUSIC), is proposed to jointly estimate the directions of arrival (DOAs) and the propagation delays of a wireless channel. The MUSIC for the DOA and the propagation dealy estimation are referred to as the S-MUSIC and the T-MUSIC, respectively. Using the space-time characteristics of the multiray channel, the proposed algorithm in a tree structure combines the temporal filtering techniques and the spatial beamforming techniques with one S-MUSIC and two T-MUSICs. The incoming rays are thus grouped, isolated, and estimated.

UR - https://www.scopus.com/pages/publications/0035251688

U2 - 10.1109/97.895374

DO - 10.1109/97.895374

M3 - 文章

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SP - 58

EP - 60

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 2

ER -

Joint estimation of DOA and delay using TST-MUSIC in a wireless channel

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