A novel geometric-based bistatic range grouping algorithm for multi-target localization in distributed MIMO radar systems
In this paper, a novel bistatic range grouping algorithm is proposed in order to localize multiple targets in distributed multiple-input multiple-output (MIMO) radar systems. In a distributed MIMO radar, target localization is performed based on bistatic ranges, the distances between antennas throug...
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| Vydané v: | Expert systems with applications Ročník 253; s. 124269 |
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| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.11.2024
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| ISSN: | 0957-4174, 1873-6793 |
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| Abstract | In this paper, a novel bistatic range grouping algorithm is proposed in order to localize multiple targets in distributed multiple-input multiple-output (MIMO) radar systems. In a distributed MIMO radar, target localization is performed based on bistatic ranges, the distances between antennas through a target, without directional information, and grouping bistatic ranges with respect to the target is a crucial step to estimate multiple targets efficiently. In contrast to the existing grouping schemes that use tentative target estimation or complicated joint bistatic range grouping and target estimation, the proposed algorithm uses only the geometric property of bistatic ranges, resulting in computationally efficient and robust grouping algorithm without noise enhancement, especially for realistic noisy environments where other existing grouping algorithms often fail. The performance of the proposed scheme is confirmed by evaluating the probability of miss detection and the probability of false alarm through numerical simulations for various environments including indirect paths and blocked paths. The root mean square error performance of the multi-target localization using the proposed bistatic grouping algorithm is also presented for realistic noisy environments.
•A novel grouping criterion is proposed to group the bistatic ranges.•A sequential approach reduces the computational complexity of the proposed algorithm.•The proposed algorithm achieves performance improvement in non- ideal environments. |
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| AbstractList | In this paper, a novel bistatic range grouping algorithm is proposed in order to localize multiple targets in distributed multiple-input multiple-output (MIMO) radar systems. In a distributed MIMO radar, target localization is performed based on bistatic ranges, the distances between antennas through a target, without directional information, and grouping bistatic ranges with respect to the target is a crucial step to estimate multiple targets efficiently. In contrast to the existing grouping schemes that use tentative target estimation or complicated joint bistatic range grouping and target estimation, the proposed algorithm uses only the geometric property of bistatic ranges, resulting in computationally efficient and robust grouping algorithm without noise enhancement, especially for realistic noisy environments where other existing grouping algorithms often fail. The performance of the proposed scheme is confirmed by evaluating the probability of miss detection and the probability of false alarm through numerical simulations for various environments including indirect paths and blocked paths. The root mean square error performance of the multi-target localization using the proposed bistatic grouping algorithm is also presented for realistic noisy environments.
•A novel grouping criterion is proposed to group the bistatic ranges.•A sequential approach reduces the computational complexity of the proposed algorithm.•The proposed algorithm achieves performance improvement in non- ideal environments. |
| ArticleNumber | 124269 |
| Author | Chung, Wonzoo Shin, Hyuksoo Kang, Seyoung |
| Author_xml | – sequence: 1 givenname: Seyoung orcidid: 0000-0003-1889-4412 surname: Kang fullname: Kang, Seyoung email: sykang0229@korea.ac.kr organization: Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea – sequence: 2 givenname: Hyuksoo surname: Shin fullname: Shin, Hyuksoo email: hsshin@add.re.kr organization: Agency for Defense Development (ADD), Daejeon, Republic of Korea – sequence: 3 givenname: Wonzoo orcidid: 0000-0001-7381-250X surname: Chung fullname: Chung, Wonzoo email: wchung@korea.ac.kr organization: Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea |
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| Cites_doi | 10.1016/j.sigpro.2015.04.004 10.1109/TSP.2015.2500881 10.1016/j.jfranklin.2021.04.035 10.1109/TWC.2017.2768429 10.1049/iet-rsn.2008.0141 10.1186/1687-1499-2014-145 10.1109/LSP.2015.2491961 10.1109/TVT.2017.2762631 10.1109/TWC.2014.2317471 10.1109/LCOMM.2021.3087009 10.1109/LSP.2017.2697500 10.1109/LSP.2017.2660545 10.1049/iet-rsn.2015.0446 10.3390/s19112524 10.1109/TAES.2013.6621849 10.1049/el.2018.5561 10.1109/TAES.2022.3188228 10.1109/TIT.2010.2046246 10.1016/j.sigpro.2011.04.019 10.1109/ACCESS.2019.2923771 10.1109/TAES.2023.3242941 10.1109/MSP.2008.4408448 10.1049/iet-rsn.2018.5159 10.1007/s11277-021-08197-6 |
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| Keywords | Multi-target localization Grouping algorithm Bistatic range (BR) Distributed multiple-input multiple-output (MIMO) radar |
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| SubjectTerms | Bistatic range (BR) Distributed multiple-input multiple-output (MIMO) radar Grouping algorithm Multi-target localization |
| Title | A novel geometric-based bistatic range grouping algorithm for multi-target localization in distributed MIMO radar systems |
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