Paper Info
Title
Bias analysis of source localization using the maximum likelihood estimator
Abstract
The nonlinear nature of the source localization problem creates bias to a location estimate. The bias could play a significant role in limiting the performance of localization and tracking when multiple measurements at different instants are available. This paper performs bias analysis of the source location estimate obtained by the maximum likelihood estimator, where the positioning measurements can be TOA, TDOA, or AOA. The effect of bias to the mean-square localization error is examined and the amounts of bias introduced by the three types of measurements are contrasted.
Year
DOI
Venue
2012
10.1109/ICASSP.2012.6288450
ICASSP
Keywords
Field
DocType
positioning measurement,source localization,maximum likelihood estimator,time difference of arrival,maximum likelihood estimation,tdoa,angle of arrival,tracking,direction-of-arrival estimation,bias,mean-square localization error,bias analysis,position measurement,aoa,time-of-arrival estimation,time of arrival,source location estimate,mean square error methods,vectors,time measurement,noise measurement,noise
Nonlinear system,Noise measurement,Computer science,Maximum likelihood,Angle of arrival,Bias of an estimator,Source localization,Multilateration,Statistics,Time of arrival
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4673-0044-5
978-1-4673-0044-5
6
PageRank 
References 
Authors
0.81
7
2
Name
Order
Citations
PageRank
Liyang Rui1293.99
K.C. Ho21311148.28