Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate
This paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate. The proposed algorithm consists of two main parts: (1) the standard JPDA filter with a Poisson point process birth mode...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/1/269 |
| _version_ | 1798034643229868032 |
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| author | Shaoming He Hyo-Sang Shin Antonios Tsourdos |
| author_facet | Shaoming He Hyo-Sang Shin Antonios Tsourdos |
| author_sort | Shaoming He |
| collection | DOAJ |
| description | This paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate. The proposed algorithm consists of two main parts: (1) the standard JPDA filter with a Poisson point process birth model for multi-object state estimation; and (2) a multi-Bernoulli filter for detection probability and clutter rate estimation. The performance of the proposed JPDA filter is evaluated through empirical tests. The results of the empirical tests show that the proposed JPDA filter has comparable performance with ideal JPDA that is assumed to have perfect knowledge of detection probability and clutter rate. Therefore, the algorithm developed is practical and could be implemented in a wide range of applications. |
| first_indexed | 2024-04-11T20:47:03Z |
| format | Article |
| id | doaj.art-555dfe3832a649669b6bfc434079e7ea |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T20:47:03Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-555dfe3832a649669b6bfc434079e7ea2022-12-22T04:04:00ZengMDPI AGSensors1424-82202018-01-0118126910.3390/s18010269s18010269Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter RateShaoming He0Hyo-Sang Shin1Antonios Tsourdos2School of Aerospace, Transport and Manufacturing, Cranfield University, MK43 0AL Cranfield, UKSchool of Aerospace, Transport and Manufacturing, Cranfield University, MK43 0AL Cranfield, UKSchool of Aerospace, Transport and Manufacturing, Cranfield University, MK43 0AL Cranfield, UKThis paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate. The proposed algorithm consists of two main parts: (1) the standard JPDA filter with a Poisson point process birth model for multi-object state estimation; and (2) a multi-Bernoulli filter for detection probability and clutter rate estimation. The performance of the proposed JPDA filter is evaluated through empirical tests. The results of the empirical tests show that the proposed JPDA filter has comparable performance with ideal JPDA that is assumed to have perfect knowledge of detection probability and clutter rate. Therefore, the algorithm developed is practical and could be implemented in a wide range of applications.http://www.mdpi.com/1424-8220/18/1/269multiple target trackingjoint probabilistic data associationmulti-Bernoulli filterunknown detection probabilityunknown clutter rate |
| spellingShingle | Shaoming He Hyo-Sang Shin Antonios Tsourdos Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate Sensors multiple target tracking joint probabilistic data association multi-Bernoulli filter unknown detection probability unknown clutter rate |
| title | Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate |
| title_full | Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate |
| title_fullStr | Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate |
| title_full_unstemmed | Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate |
| title_short | Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate |
| title_sort | joint probabilistic data association filter with unknown detection probability and clutter rate |
| topic | multiple target tracking joint probabilistic data association multi-Bernoulli filter unknown detection probability unknown clutter rate |
| url | http://www.mdpi.com/1424-8220/18/1/269 |
| work_keys_str_mv | AT shaominghe jointprobabilisticdataassociationfilterwithunknowndetectionprobabilityandclutterrate AT hyosangshin jointprobabilisticdataassociationfilterwithunknowndetectionprobabilityandclutterrate AT antoniostsourdos jointprobabilisticdataassociationfilterwithunknowndetectionprobabilityandclutterrate |