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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638456