A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets
In this paper we present a general solution for multi-target tracking with superpositional measurements. Measurements that are functions of the sum of the contributions of the targets present in the surveillance area are called superpositional measurements. We base our modelling on Labeled Random Fi...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/44145 |
| _version_ | 1848756913139875840 |
|---|---|
| author | Papi, Francesco Kim, Du Yong |
| author_facet | Papi, Francesco Kim, Du Yong |
| author_sort | Papi, Francesco |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper we present a general solution for multi-target tracking with superpositional measurements. Measurements that are functions of the sum of the contributions of the targets present in the surveillance area are called superpositional measurements. We base our modelling on Labeled Random Finite Set (RFS) in order to jointly estimate the number of targets and their trajectories. This modelling leads to a labeled version of Mahler's multi-target Bayes filter. However, a straightforward implementation of this tracker using Sequential Monte Carlo (SMC) methods is not feasible due to the difficulties of sampling in high dimensional spaces. We propose an efficient multi-target sampling strategy based on Superpositional Approximate CPHD (SA-CPHD) filter and the recently introduced Labeled Multi-Bernoulli (LMB) and Vo-Vo densities. The applicability of the proposed approach is verified through simulation in a challenging radar application with closely spaced targets and low signal-to-noise ratio. |
| first_indexed | 2025-11-14T09:19:45Z |
| format | Journal Article |
| id | curtin-20.500.11937-44145 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:19:45Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-441452018-03-29T09:06:49Z A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets Papi, Francesco Kim, Du Yong In this paper we present a general solution for multi-target tracking with superpositional measurements. Measurements that are functions of the sum of the contributions of the targets present in the surveillance area are called superpositional measurements. We base our modelling on Labeled Random Finite Set (RFS) in order to jointly estimate the number of targets and their trajectories. This modelling leads to a labeled version of Mahler's multi-target Bayes filter. However, a straightforward implementation of this tracker using Sequential Monte Carlo (SMC) methods is not feasible due to the difficulties of sampling in high dimensional spaces. We propose an efficient multi-target sampling strategy based on Superpositional Approximate CPHD (SA-CPHD) filter and the recently introduced Labeled Multi-Bernoulli (LMB) and Vo-Vo densities. The applicability of the proposed approach is verified through simulation in a challenging radar application with closely spaced targets and low signal-to-noise ratio. 2015 Journal Article http://hdl.handle.net/20.500.11937/44145 10.1109/TSP.2015.2443727 Institute of Electrical and Electronics Engineers Inc. restricted |
| spellingShingle | Papi, Francesco Kim, Du Yong A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets |
| title | A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets |
| title_full | A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets |
| title_fullStr | A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets |
| title_full_unstemmed | A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets |
| title_short | A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets |
| title_sort | particle multi-target tracker for superpositional measurements using labeled random finite sets |
| url | http://hdl.handle.net/20.500.11937/44145 |