A recursive algorithm for bearings-only tracking with signal time delay
Signal Processing
Cramer-Rao lower bounds for bearings-only maneuvering target tracking with incomplete measurements
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Bearings-only target motion analysis via instrumental variable estimation
IEEE Transactions on Signal Processing
Data association and geolocation for electronic support systems
Computers and Electrical Engineering
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The bearings-only pseudolinear target track estimator is known to suffer from severe bias problems. This paper presents a bias analysis for the pseudolinear estimator and develops a method of bias compensation, resulting in a closed-form reduced-bias pseudolinear estimator. The reduced-bias estimator is then incorporated into an instrumental variable estimator to produce asymptotically unbiased target motion parameter estimates. Unlike batch iterative estimators, the proposed instrumental variable estimator has a closed-from solution and therefore avoids the convergence problems associated with iterative estimators. The performance of the proposed instrumental variable estimator is illustrated by way of simulation examples and is shown to be almost identical to that of the computationally more demanding iterative maximum likelihood estimator.