A Lower Bound of Direction-of-Arrival Estimation for an Acoustic Vector Sensor Subject to Sensor Breakdown

The work presented here derives an approximate lower bound (ALB) for the error variance of direction-finding using a single acoustic vector sensor subject to random breakdown in its sensors. This ALB equals a weighted sum of Cramer-Rao bounds (CRBs), conditioned on disjoint events of sensor breakdow...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on aerospace and electronic systems Vol. 48; no. 4; pp. 3703 - 3708
Main Authors Yang Song, Wong, Kainam Thomas
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2012
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Acoustics
Arrays
Breakdown
Computer simulation
Direction of arrival estimation
Electric breakdown
Lower bounds
Mathematical analysis
Maximum likelihood estimation
Monte Carlo methods
Navigation
Sensors
Vectors
Vectors (mathematics)
Online AccessGet full text

Cover

More Information
Summary:The work presented here derives an approximate lower bound (ALB) for the error variance of direction-finding using a single acoustic vector sensor subject to random breakdown in its sensors. This ALB equals a weighted sum of Cramer-Rao bounds (CRBs), conditioned on disjoint events of sensor breakdown, that together define the overall phenomenon of random sensor breakdown. Its tightness is verified by Monte Carlo simulation of a maximum likelihood estimator.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2012.6324763