Title :
TDOA-SDOA estimation with moving source and receivers
Author :
Chan, Y.Z. ; Ho, K.C.
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
When there is a relative motion (rm) between a signal source and a receiver, the signal arrives at the receiver with a time-scaling. Under this condition, estimating the time-difference of-arrival (TDOA) of the signal at two receivers will have large errors, if the estimator ignores the effects of the rm. The correct approach estimates both the TDOA and scale-difference-of-arrival (SDOA) between the signals of the two receivers, via the maximization of the cross-ambiguity function (CAF). This paper first derives the bias of TDOA estimation under rm, when neglecting SDOA. It then gives a new, fast method, based on the Newton root finding algorithm, for determining the maximum of the CAF. Simulation results indicate that the TDOA and SDOA mean square errors attain the Cramer Rao lower bound.
Keywords :
Newton method; direction-of-arrival estimation; mean square error methods; optimisation; Cramer Rao lower bound; Newton root finding algorithm; TDOA-SDOA estimation; cross-ambiguity function maximization; estimation bias; mean square errors; moving source; receivers; relative motion; scale-difference-of-arrival estimation; signal source; time-difference of-arrival estimation; Computer aided engineering; Electronic warfare; Intelligent vehicles; Mean square error methods; Mobile handsets; Radar applications; Road vehicles; Sonar applications; Sonar measurements; Time difference of arrival;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199891