DocumentCode :
3459451
Title :
An unbiased estimator for bearings-only tracking and Doppler-bearing tracking
Author :
Ho, K.C. ; Chan, I.Z.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Volume :
5
fYear :
2003
fDate :
6-10 April 2003
Abstract :
The objective of both bearings-only tracking (BOT) and Doppler-bearing tracking (DBT) is to obtain the target trajectory based on bearings, and Doppler and bearing measurements respectively, from an observer to the target. The BOT and DBT problems are nontrivial because the measurement equations are nonlinear. The pseudo linear formulation allows a linear estimator to solve for the solution, but the solution obtained is biased. This paper proposes an estimator based on the pseudo linear equations that produce an unbiased solution. The proposed method applies least-squares minimization on the pseudo linear equations with appropriate constraints on the unknown parameters. Simulations are included to illustrate the performance of the proposed estimator. The proposed estimator achieves the Cramer-Rao lower bound (CRLB) for Gaussian noise around small error region.
Keywords :
Doppler shift; Gaussian noise; direction-of-arrival estimation; least squares approximations; minimisation; nonlinear estimation; tracking filters; Cramer-Rao lower bound; Doppler-bearing tracking; Gaussian noise; bearings-only tracking; constraints; least-squares minimization; nonlinear measurement equations; performance; pseudo linear equations; target trajectory; unbiased estimator; unbiased solution; Doppler shift; Electric variables measurement; Gaussian noise; Iterative methods; Kalman filters; Minimization methods; Noise measurement; Nonlinear equations; Target tracking; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1199895
Filename :
1199895
Link To Document :
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