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

Kainam Thomas Wong, Yue Ivan Wu, Yu Sheng Hsu, Yang Song

研究成果: 雜誌貢獻期刊論文同行評審

13 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
文章編號5995136
頁(從 - 到)911-913
頁數3
期刊IEEE Sensors Journal
12
發行號5
DOIs
出版狀態已出版 - 2012

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