TST-MUSIC for DOA-delay joint estimation

Yung Yi Wang, Wen Hsien Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


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 multipath channel. The MUSIC algorithms for the DOA and propagation delay estimation are referred to as the S-MUSIC and T-MUSIC algorithms, respectively. By using the space-time characteristics of the multipath channel, the approach combines the temporal filtering and spatial beamforming techniques along with one S-MUSIC and two T-MUSIC algorithms in a tree structure. As such, the incoming rays are grouped, isolated, then estimated in the DOA-delay domain, and the paring of the estimated DOAs and delays are automatically determined. Also, the proposed approach can resolve the incoming rays from very close DOAs or with very close delays. Furthermore, the number of antennas required can be less than that of the incoming rays. The furnished simulations justify the new algorithm.

Original languageEnglish
Title of host publicationCommunicationsSensor Array and Multichannel Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)0780362934
StatePublished - 2000
Externally publishedYes
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: 05 06 200009 06 2000

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149


Conference25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000

Bibliographical note

Publisher Copyright:
© 2000 IEEE.


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