Passive emitter localization using weighted instrumental variables

Authors:
Kutluyil Doğançay
Affiliations:
School of Electrical and Information Engineering, University of South Australia, Mawson Lakes, SA 5095, Australia
Venue:
Signal Processing
Year:
2004

Citing 2
Cited 2

System identification (2nd ed.): theory for the user

System identification (2nd ed.): theory for the user
On the bias of linear least squares algorithms for passive target localization

Signal Processing

On the efficiency of a bearings-only instrumental variable estimator for target motion analysis

Signal Processing
Bearings-only target motion analysis via instrumental variable estimation

IEEE Transactions on Signal Processing

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Abstract

The linear least-squares algorithms for emitter localization such as the pseudolinear estimator are known to exhibit large estimation bias because of the correlation between the measurement matrix and the bearing noise. The paper presents a new bearings-only emitter localization algorithm with a closed-form solution that overcomes this bias by making use of instrumental variables obtained from a biased location estimate. By way of computer simulations, the new algorithm is shown to outperform the pseudolinear estimator while having a performance identical to that of the computationally more expensive maximum likelihood estimator.