1 research outputs found
Bearing-only target localization with uncertainties in observer position
In this paper, the bearing-only target localization
problem when the observer positions are subject to error is investigated.
In this problem, the angle of arrival of the transmitted
signal between target and observer are used to estimate the target
position. It is assumed that not only the bearing measurements
are corrupted by noise but also the exact position of observer is
not available to the estimator. The accuracy of estimated location
of target depends on the reliability of information from the
observer position. Therefore, the previously published algorithms
considering only the bearing measurement noise do not meet the
expected performance when the observer positions are subject
to error. The maximum likelihood, the least squares and total
least square algorithms and a new method of localization based
on weighted total least squares approach are developed for this
problem. The corresponding Cram´er-Rao lower bound (CRLB) is
derived for this problem. Computer simulations are performed to
evaluate the performance of the proposed algorithms. Simulation
results show that the new method can attain the CRLB for
sufficiently high SNR