MeMBer filter for manoeuvring targets

Darcy Dunne; T. Kirubarajan

doi:10.1117/12.921069

17 May 2012 MeMBer filter for manoeuvring targets

Darcy Dunne, T. Kirubarajan

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 839205 (2012) https://doi.org/10.1117/12.921069
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

This paper will introduce a new Multitarget Multi-Bernoulli (MeMBer) recursion for tracking targets traveling under multiple motion models. The proposed interacting multiple model MeMBer (IMM-MeMBer) filter uses Jump Markov Models (JMM) to extended the basic MeMBer recursion to allow for multiple motion models. This extension is implemented using both the SMC and GM based MeMBer approximations. The recursive prediction and update equations are presented for both implementations. Each multiple model implementation is validated against its respective standard MeMBer implementation as well as against each other. This validation is done using a simulated scenario containing multiple maneuvering targets. A variety of metrics are observed including target detection capability, estimate accuracy and model likelihood determination.

Citation Download Citation

Darcy Dunne and T. Kirubarajan "MeMBer filter for manoeuvring targets", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 839205 (17 May 2012); https://doi.org/10.1117/12.921069

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