Viterbi-based data association techniques for target tracking

Ahmed S. Gad; Mohammad Farooq

doi:10.1117/12.489650

25 August 2003 Viterbi-based data association techniques for target tracking

Ahmed S. Gad, Mohammad Farooq

Proceedings Volume 5096, Signal Processing, Sensor Fusion, and Target Recognition XII; (2003) https://doi.org/10.1117/12.489650
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The research in multitarget tracking has mainly focused on the development and implementation of efficient data association algorithms with acceptable performance. The Viterbi Data Association (VDA) algorithm has proven to have low computation cost and hence a good candidate for the extension to multiple target tracking case. In this paper, the VDA is implemented for tracking both the single and multiple maneuvering targets in clutter. The track initiator and the adaptive sliding window techniques are used so that the VDA can maintain a lock on the track. The performance of the algorithm is assessed via Mote-Carlo simulations. The computation complexity analysis reveals that the VDA is computationally more efficient over the known tracking techniques.

Citation Download Citation

Ahmed S. Gad and Mohammad Farooq "Viterbi-based data association techniques for target tracking", Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); https://doi.org/10.1117/12.489650

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