A novel joint estimator of direction-of-arrival and time-delay for multiple source localization

Hongfeng Qin, Jianguo Huang, Qunfei Zhang

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

3 Scopus citations

Abstract

Source localization is one of the important topics in signal processing, in which a key problem is to jointly estimate direction-of-arrival (DOA) and time-delay for multiple sources. In this paper, a novel and efficient algorithm of joint DOA and time-delay estimation (named as ESPRiT-TDF algorithm) is proposed. Based on constructing two special types of covariance matrixes for two identical subarrays, both DOA and time-delay can be estimated simultaneously via rotational invariance technique and high-resolution time-delay frequency (TDF) technique. This algorithm is not only easy to be implemented with low computation but also suitable for multiple source localization where the non-minimum phase signai is frequently employed. Computer simulations and experiments in water tank are conducted to show the improved performance in precision and resolution by using the ESPRIT-TDF algorithm.

Original languageEnglish
Title of host publicationProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages1294-1297
Number of pages4
DOIs
StatePublished - 2003
Event2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China
Duration: 14 Dec 200317 Dec 2003

Publication series

NameProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume2

Conference

Conference2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/TerritoryChina
CityNanjing
Period14/12/0317/12/03

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