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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)


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.
Original languageEnglish
Article number5995136
Pages (from-to)911-913
Number of pages3
JournalIEEE Sensors Journal
Issue number5
Publication statusPublished - 20 Apr 2012


  • Array signal processing
  • direction of arrival estimation
  • phased arrays

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering


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