Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97846
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dc.contributor.authorWong, Thomas Kainamen
dc.contributor.authorWu, Ivan Yueen
dc.contributor.authorHsu, Yu-Shengen
dc.contributor.authorSong, Yangen
dc.date.accessioned2013-07-15T02:29:08Zen
dc.date.accessioned2019-12-06T19:47:19Z-
dc.date.available2013-07-15T02:29:08Zen
dc.date.available2019-12-06T19:47:19Z-
dc.date.copyright2011en
dc.date.issued2011en
dc.identifier.urihttps://hdl.handle.net/10356/97846-
dc.description.abstractThis 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.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE sensors journalen
dc.rights© 2011 IEEE.en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleA lower bound of DOA-estimates by an array randomly subject to sensor-breakdownen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1109/JSEN.2011.2165704en
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:EEE Journal Articles

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