Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 송택렬 | - |
dc.date.accessioned | 2022-04-24T23:57:28Z | - |
dc.date.available | 2022-04-24T23:57:28Z | - |
dc.date.issued | 2021-10 | - |
dc.identifier.citation | AEROSPACE SCIENCE AND TECHNOLOGY, v. 117, Page. 1-20 | en_US |
dc.identifier.issn | 1270-9638 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1270963821004600 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/170259 | - |
dc.description.abstract | This paper investigates a novel distributed fusion system for target tracking in three dimensional surveillance using multiple asynchronous BO sensors by simultaneously addressing the problems of target mis-detection and clutter disturbance as well as the out-of-sequence (OOS) information fusion. The proposed distributed fusion architecture consists of the local tracking and distributed fusion, wherein, the refined BO measurements output from the local tracking in each BO sensor are transmitted to the fusion center for subsequent distributed fusion. In the local tracking, instead of kinematic state, the target pseudo state is defined and tracked by operating the proposed pseudo state-integrated probabilistic data association (PS-IPDA) algorithm with an approximately linear pseudo state evolution model, resulting in greatly refined BO sensor measurements. In the fusion center, the sequential asynchronous IPDA-general one-step retrodiction update (SAIPDA-GORU) algorithm is proposed to effectively fuse the transmitted origin-unknown OOS refined measurements (OOSRMs) with the central tracks. The SAIPDA-GORU propagates the central track hybrid state to the OOS time by deploying a general one-step retrodiction technique, and mathematically formulates the OOSRMs-to-retrodicted central track association probabilities utilized to facilitate the fusing of currently filtered central track with OOSRMs. Numerical results show that the proposed PS-IPDA algorithm reduces the errors of target bearings measurement by around a half and eliminates more than 60% of the clutter measurements contained in raw detections, saving significant communication bandwidth between local sensors and fusion center. Furthermore, the proposed SAIPDA-GORU method tangibly improves the estimation accuracy and false track discrimination over the existing discarding method, with the potential to be implemented in real-time. | en_US |
dc.description.sponsorship | This work was supported in part by the National Natural Science Foundation of China [grant 61901151], and the Zhejiang Provincial Natural Science Foundation [grant number LQ19F010009 and LZ20F010002]. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER | en_US |
dc.subject | Distributed fusion | en_US |
dc.subject | Asynchronous bearings-only sensors | en_US |
dc.subject | Target mis-detection | en_US |
dc.subject | Clutter disturbance | en_US |
dc.subject | Out-of-sequence refined measurements | en_US |
dc.title | Distributed fusion in harsh environments using multiple bearings-only sensors with out-of-sequence-refined measurements | en_US |
dc.type | Article | en_US |
dc.relation.volume | 117 | - |
dc.identifier.doi | 10.1016/j.ast.2021.106950 | - |
dc.relation.page | 1-20 | - |
dc.relation.journal | AEROSPACE SCIENCE AND TECHNOLOGY | - |
dc.contributor.googleauthor | Shi, Yifang | - |
dc.contributor.googleauthor | Farina, Alfonso | - |
dc.contributor.googleauthor | Song, Taek Lyul | - |
dc.contributor.googleauthor | Peng, Dongliang | - |
dc.contributor.googleauthor | Guo, Yunfei | - |
dc.relation.code | 2021008077 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | SCHOOL OF ELECTRICAL ENGINEERING | - |
dc.identifier.pid | tsong | - |
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