Makale detayı · 2012
A phd Filter for Tracking Multiple Extended Targets Using Random Matrices
- Yıl
- 2012
- Tür
- article
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- YÖKSİS dergi adı IEEE Transactions on Signal Processing
- Katalog eşleşmesi (ISSN) IEEE Transactions on Signal Processing
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Özet
OpenAlex · İngilizce
This paper presents a random set based approach to tracking of an unknown number of extended targets, in the presence of clutter measurements and missed detections, where the targets' extensions are modeled as random matrices. For this purpose, the random matrix framework developed recently by Koch is adapted into the extended target phd framework, resulting in the Gaussian inverse Wishart phd (giw-phd) filter. A suitable multiple target likelihood is derived, and the main filter recursion is presented along with the necessary assumptions and approximations. The particularly challenging case of close extended targets is addressed with practical measurement clustering algorithms. The capabilities and limitations of the resulting extended target tracking framework are illustrated both in simulations and in experiments based on laser scans.
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Atıflar
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Yerel katalogda bu makaleye atıf yapan 13 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- An Extended Target CPHD Filter and a Gamma Gaussian Inverse Wishart Implementation 2013
- New prediction for extended targets with random matrices 2014
- Estimation and maintenance of measurement rates for multiple extended target tracking 2012
- On Spawning and Combination of Extended Group Targets Modeled With Random Matrices 2013
- On Extended Target Tracking Using PHD Filters 2012
- On the reduction of Gaussian inverse Wishart mixtures 2012
- GP-PDA Filter for Extended Target Tracking With Measurement Origin Uncertainty 2019
- Random Set Methods Estimation of Multiple Extended Objects 2014
- Greedy Reduction Algorithms for Mixtures of Exponential Family 2015
- Corrections on: “Extended Target Tracking Using a Gaussian-Mixture PHD Filter” 2017