Sequential maximum-likelihood source localization of a near field emitter of unknown spectrum, using an acoustic vector sensor

Yang Song; Kainam Thomas Wong

doi:10.1109/ICCE-China.2016.7849754

Sequential maximum-likelihood source localization of a near field emitter of unknown spectrum, using an acoustic vector sensor

Yang Song, Kainam Thomas Wong

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

The paper develops a sequential maximum-likelihood algorithm to estimate a near-field wideband emitter's azimuth-elevation direction-of-arrival plus radial distance, based on data collected by one acoustic vector sensor. This new algorithm needs no prior knowledge of the incident signal's time-frequency signal structure.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016
Publisher	IEEE
ISBN (Electronic)	9781509061938
DOIs	https://doi.org/10.1109/ICCE-China.2016.7849754
Publication status	Published - 9 Feb 2017
Event	2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016 - Guangzhou, China Duration: 19 Dec 2016 → 21 Dec 2016

Conference

Conference	2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016
Country/Territory	China
City	Guangzhou
Period	19/12/16 → 21/12/16

Keywords

acoustic arrays
acoustic position measurement
acoustic signal processing
array signal processing
direction of arrival estimation
underwater acoustic arrays

ASJC Scopus subject areas

Computer Networks and Communications
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Instrumentation

More information

10.1109/ICCE-China.2016.7849754

Cite this

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title = "Sequential maximum-likelihood source localization of a near field emitter of unknown spectrum, using an acoustic vector sensor",

abstract = "The paper develops a sequential maximum-likelihood algorithm to estimate a near-field wideband emitter's azimuth-elevation direction-of-arrival plus radial distance, based on data collected by one acoustic vector sensor. This new algorithm needs no prior knowledge of the incident signal's time-frequency signal structure.",

keywords = "acoustic arrays, acoustic position measurement, acoustic signal processing, array signal processing, direction of arrival estimation, underwater acoustic arrays",

author = "Yang Song and Wong, {Kainam Thomas}",

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booktitle = "2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016",

publisher = "IEEE",

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Song, Y & Wong, KT 2017, Sequential maximum-likelihood source localization of a near field emitter of unknown spectrum, using an acoustic vector sensor. in 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016., 7849754, IEEE, 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016, Guangzhou, China, 19/12/16. https://doi.org/10.1109/ICCE-China.2016.7849754

Sequential maximum-likelihood source localization of a near field emitter of unknown spectrum, using an acoustic vector sensor. / Song, Yang; Wong, Kainam Thomas.
2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016. IEEE, 2017. 7849754.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - The paper develops a sequential maximum-likelihood algorithm to estimate a near-field wideband emitter's azimuth-elevation direction-of-arrival plus radial distance, based on data collected by one acoustic vector sensor. This new algorithm needs no prior knowledge of the incident signal's time-frequency signal structure.

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KW - acoustic signal processing

KW - array signal processing

KW - direction of arrival estimation

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PB - IEEE

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Sequential maximum-likelihood source localization of a near field emitter of unknown spectrum, using an acoustic vector sensor

Abstract

Conference

Keywords

ASJC Scopus subject areas

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