Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking

It is difficult to accurately and rapidly partition measurement sets of multiple extended targets in cluttered environment. Hence the affinity propagation method is introduced and a novel measurement partition algorithm is proposed. First, the measurement set is preprocessed by using density analysi...

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Main Authors: Yang Jin-long, Liu Feng-mei, Wang Dong, Ge Hong-wei
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2015-08-01
Series:Leida xuebao
Subjects:
Online Access:http://radars.ie.ac.cn/CN/html/20150410.htm
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author Yang Jin-long
Liu Feng-mei
Wang Dong
Ge Hong-wei
author_facet Yang Jin-long
Liu Feng-mei
Wang Dong
Ge Hong-wei
author_sort Yang Jin-long
collection DOAJ
description It is difficult to accurately and rapidly partition measurement sets of multiple extended targets in cluttered environment. Hence the affinity propagation method is introduced and a novel measurement partition algorithm is proposed. First, the measurement set is preprocessed by using density analysis to remove clutters from the measurements. Second, the number and location of the extended targets is determined via competition among the measurements. Finally, state estimates are obtained by using the probability hypothesis density filter. Simulations show that the proposed algorithm offers good performance in measurement partitioning of extended target tracking with clutter disturbance. Compared with the distance partition and K-means++ methods, the proposed method effectively minimizes the computation time and retrieves the number of targets iteratively.
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publishDate 2015-08-01
publisher China Science Publishing & Media Ltd. (CSPM)
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spelling doaj.art-5e12f37d353043ef8d76bcbd3ebb04132023-12-03T00:28:56ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2015-08-014445245910.12000/JR15003Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target TrackingYang Jin-long0Liu Feng-mei1Wang Dong2Ge Hong-wei3School of Internet of Things Engineering, Jiangnan UniversitySchool of Internet of Things Engineering, Jiangnan UniversitySchool of Internet of Things Engineering, Jiangnan UniversitySchool of Internet of Things Engineering, Jiangnan UniversityIt is difficult to accurately and rapidly partition measurement sets of multiple extended targets in cluttered environment. Hence the affinity propagation method is introduced and a novel measurement partition algorithm is proposed. First, the measurement set is preprocessed by using density analysis to remove clutters from the measurements. Second, the number and location of the extended targets is determined via competition among the measurements. Finally, state estimates are obtained by using the probability hypothesis density filter. Simulations show that the proposed algorithm offers good performance in measurement partitioning of extended target tracking with clutter disturbance. Compared with the distance partition and K-means++ methods, the proposed method effectively minimizes the computation time and retrieves the number of targets iteratively.http://radars.ie.ac.cn/CN/html/20150410.htmTarget trackingMultiple extended targetAffinity propagationMeasurement partitionDistance partition
spellingShingle Yang Jin-long
Liu Feng-mei
Wang Dong
Ge Hong-wei
Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking
Leida xuebao
Target tracking
Multiple extended target
Affinity propagation
Measurement partition
Distance partition
title Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking
title_full Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking
title_fullStr Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking
title_full_unstemmed Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking
title_short Affinity Propagation Based Measurement Partition Algorithm for Multiple Extended Target Tracking
title_sort affinity propagation based measurement partition algorithm for multiple extended target tracking
topic Target tracking
Multiple extended target
Affinity propagation
Measurement partition
Distance partition
url http://radars.ie.ac.cn/CN/html/20150410.htm
work_keys_str_mv AT yangjinlong affinitypropagationbasedmeasurementpartitionalgorithmformultipleextendedtargettracking
AT liufengmei affinitypropagationbasedmeasurementpartitionalgorithmformultipleextendedtargettracking
AT wangdong affinitypropagationbasedmeasurementpartitionalgorithmformultipleextendedtargettracking
AT gehongwei affinitypropagationbasedmeasurementpartitionalgorithmformultipleextendedtargettracking