A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown

A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown

This paper introduces a new metric, to approximately lower-bound the error-variance in the estimation of an incident source's direction-of-arrival (DOA), for a sensor-array subject to random breakdown in its individual sensors. This new metric equals a weighted sum of Cramér-Rao bounds, each co...

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Main Authors: Wong, Thomas Kainam, Wu, Ivan Yue, Hsu, Yu-Sheng, Song, Yang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/97846
http://hdl.handle.net/10220/11362
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-978462020-03-07T14:02:44Z A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown Wong, Thomas Kainam Wu, Ivan Yue Hsu, Yu-Sheng Song, Yang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This paper introduces a new metric, to approximately lower-bound the error-variance in the estimation of an incident source's direction-of-arrival (DOA), for a sensor-array subject to random breakdown in its individual sensors. This new metric equals a weighted sum of Cramér-Rao bounds, each conditioned on a distinct event of sensors-breakdown. Those distinct events together describe the overall random phenomenon of the fallibility of the sensors that constitute the sensor-array. This new metric's tightness as an approximate lower bound is illustrated by Monte Carlo simulations of the maximum-likelihood estimator. 2013-07-15T02:29:08Z 2019-12-06T19:47:19Z 2013-07-15T02:29:08Z 2019-12-06T19:47:19Z 2011 2011 Journal Article https://hdl.handle.net/10356/97846 http://hdl.handle.net/10220/11362 10.1109/JSEN.2011.2165704 en IEEE sensors journal © 2011 IEEE.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Wong, Thomas Kainam
Wu, Ivan Yue
Hsu, Yu-Sheng
Song, Yang
A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown
description This paper introduces a new metric, to approximately lower-bound the error-variance in the estimation of an incident source's direction-of-arrival (DOA), for a sensor-array subject to random breakdown in its individual sensors. This new metric equals a weighted sum of Cramér-Rao bounds, each conditioned on a distinct event of sensors-breakdown. Those distinct events together describe the overall random phenomenon of the fallibility of the sensors that constitute the sensor-array. This new metric's tightness as an approximate lower bound is illustrated by Monte Carlo simulations of the maximum-likelihood estimator.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wong, Thomas Kainam
Wu, Ivan Yue
Hsu, Yu-Sheng
Song, Yang
format Article
author Wong, Thomas Kainam
Wu, Ivan Yue
Hsu, Yu-Sheng
Song, Yang
author_sort Wong, Thomas Kainam
title A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown
title_short A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown
title_full A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown
title_fullStr A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown
title_full_unstemmed A lower bound of DOA-estimates by an array randomly subject to sensor-breakdown
title_sort lower bound of doa-estimates by an array randomly subject to sensor-breakdown
publishDate 2013
url https://hdl.handle.net/10356/97846
http://hdl.handle.net/10220/11362
_version_ 1681035786831527936

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