Title :
A Lower Bound of Direction-of-Arrival Estimation for an Acoustic Vector Sensor Subject to Sensor Breakdown
Author :
Yang Song ; Wong, Kainam Thomas
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China
fDate :
10/1/2012 12:00:00 AM
Abstract :
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.
Keywords :
Monte Carlo methods; acoustic signal processing; direction-of-arrival estimation; maximum likelihood estimation; sensors; Cramer-Rao bound; Monte Carlo simulation; acoustic vector sensor; approximate lower bound; direction finding; direction-of-arrival estimation; maximum likelihood estimator; sensor breakdown; Acoustics; Arrays; Direction of arrival estimation; Electric breakdown; Maximum likelihood estimation; Navigation; Vectors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2012.6324763
