Retrodiction for Bayesian multiple-hypothesis/multiple-target tracking in densely cluttered environment

Wolfgang Koch

doi:10.1117/12.241204

31 May 1996 Retrodiction for Bayesian multiple-hypothesis/multiple-target tracking in densely cluttered environment

Wolfgang Koch

Proceedings Volume 2759, Signal and Data Processing of Small Targets 1996; (1996) https://doi.org/10.1117/12.241204
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Sensor data processing in a dense target/dense clutter environment is inevitably confronted with data association conflicts which correspond with the multiple hypothesis character of many modern approaches (MHT: multiple hypothesis tracking). In this paper we analyze the efficiency of retrodictive techniques that generalize standard fixed interval smoothing to MHT applications. 'Delayed estimation' based on retrodiction provides uniquely interpretable and accurate trajectories from ambiguous MHT output if a certain time delay is tolerated. In a Bayesian framework the theoretical background of retrodiction and its intimate relation to Bayesian MHT is sketched. By a simulated example with two closely-spaced targets, relatively low detection probabilities, and rather high false return densities, we demonstrate the benefits of retrodiction and quantitatively discuss the achievable track accuracies and the time delays involved for typical radar parameters.

Citation Download Citation

Wolfgang Koch "Retrodiction for Bayesian multiple-hypothesis/multiple-target tracking in densely cluttered environment", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241204

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