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Multipath Maximum Likelihood Probabilistic Multihypothesis Tracker for Low Observable Targets | IEEE Journals & Magazine | IEEE Xplore

Multipath Maximum Likelihood Probabilistic Multihypothesis Tracker for Low Observable Targets


Abstract:

In many practical scenarios with multipath propagation, one target may generate multiple detections in one scan. Proper use of multipath-induced measurements can improve ...Show More

Abstract:

In many practical scenarios with multipath propagation, one target may generate multiple detections in one scan. Proper use of multipath-induced measurements can improve the detection of very low observable (VLO) targets. In this paper, a true multitarget tracker, the joint multipath maximum likelihood probabilistic multihypothesis tracker (JMP-ML-PMHT) is proposed to address this problem. The standard ML-PMHT is extended to incorporate multipath detections and jointly track multiple VLO targets. The Cramer–Rao lower bound with multipath detections is derived. Simulation results with an over-the-horizon-radar scenario show that the JMP-ML-PMHT can detect and track multiple VLO targets by effectively utilizing the information in multipath measurements.
Published in: IEEE Transactions on Aerospace and Electronic Systems ( Volume: 54, Issue: 1, February 2018)
Page(s): 502 - 510
Date of Publication: 06 October 2017

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