Multipath Maximum Likelihood Probabilistic Multihypothesis Tracker for Low Observable Targets

作者：Tang, X.^*; Wu, Q.; Tharmarasa, R.; Kirubarajan, T.

来源：IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(1): 502-510.

DOI：10.1109/TAES.2017.2760778

• THE-HORIZON RADAR
• ML-PDA

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.

• 出版日期2018-2
• 单位电子科技大学