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Multiple Detection-Aided Low-Observable Track...
Journal article

Multiple Detection-Aided Low-Observable Track Initialization Using ML-PDA

Abstract

In low signal-to-noise ratio or heavy clutter environments, target track initialization is a challenging task. The maximum likelihood probabilistic data association (ML-PDA) algorithm has been demonstrated to be effective in dealing with this issue. In practical scenarios, multiple signals from one target via different propagation paths can be detected in a scan. Signals from different propagation paths convey useful information and can improve …

Authors

Tang X; Tharmarasa R; McDonald M; Kirubarajan T

Journal

IEEE Transactions on Aerospace and Electronic Systems, Vol. 53, No. 2, pp. 722–735

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

DOI

10.1109/taes.2017.2664598

ISSN

0018-9251