DocumentCode :
1671743
Title :
Localization with Doppler biased TOAS: An ill-conditioned problem
Author :
Xiufeng Song ; Gang Wang ; Willett, P. ; Shengli Zhou
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2013
Firstpage :
4226
Lastpage :
4230
Abstract :
This paper investigates moving target localization by the biased time-of-arrivals (TOAs), where an extracted TOA is biased by the unknown Doppler of the target. The phenomenon applies to radar and sonar systems that employ Doppler tolerant waveforms. While in principle those would allow the estimation of both position and velocity using position-only measurements, we unfortunately find that the Fisher information matrix is ill-conditioned. However, a Quasi-maximum likelihood estimator based on the misspecified model is suggested, and its performance is analyzed.
Keywords :
Doppler effect; maximum likelihood estimation; position measurement; time-of-arrival estimation; velocity measurement; Doppler biased TOAS; Doppler tolerant waveforms; Fisher information matrix; TOAs; ill-conditioned problem; moving target localization; performance analysis; position estimation; position-only measurements; quasi-maximum likelihood estimator; radar system; sonar system; time-of-arrivals; velocity estimation; Delays; Doppler effect; Maximum likelihood estimation; Radar; Sonar; Vectors; Localization; TOA; estimation; maximum likelihood; measurement bias; misspecified model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638456
Filename :
6638456
Link To Document :
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