Estimation and maintenance of measurement rates for multiple extended target tracking

Date

2012-09-12

Author

Granström, Karl
Orguner, Umut

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In Gilholm et al.'s extended target model, the number of measurements generated by a target is Poisson distributed with measurement rate γ. Practical use of this extended target model in multiple extended target tracking algorithms requires a good estimate of γ. In this paper, we first give a Bayesian recursion for estimating γ using the well-known conjugate prior Gamma-distribution. In multiple extended target tracking, consideration of different measurement set associations to a single target makes Gamma-mixtures arise naturally. This causes a need for mixture reduction, and we consider the reduction of Gamma-mixtures by means of merging. Analytical minimization of the Kullback-Leibler divergence is used to compute the single Gamma distribution that best approximates a weighted sum of Gamma distributions. Results from simulations show the merits of the presented multiple target measurement-rate estimator. The Bayesian recursion and presented reduction algorithm have important implications for multiple extended target tracking, e.g. using the implementations of the extended target PHD filter.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84867660696&origin=inward
https://hdl.handle.net/11511/85608
https://ieeexplore.ieee.org/document/6290567

Conference Name

15th International Conference on Information Fusion, FUSION 2012, (7 - 12 Eylül 2012)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

K. Granström and U. Orguner, “Estimation and maintenance of measurement rates for multiple extended target tracking,” presented at the 15th International Conference on Information Fusion, FUSION 2012, (7 - 12 Eylül 2012), Singapore, Singapur, 2012, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84867660696&origin=inward.