Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture
Abstract A low probability of intercept (LPI)‐based cooperative node selection and transmit resource allocation (CNS‐TRA) strategy is proposed for multi‐target tracking in multiple radars architecture (MRA). The key idea of the proposed CNS‐TRA strategy is to coordinate the radar node selection and...
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| Format: | Article |
| Language: | English |
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Wiley
2022-07-01
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| Series: | IET Signal Processing |
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| Online Access: | https://doi.org/10.1049/sil2.12117 |
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| author | Lintao Ding Chenguang Shi Fei Wang Jianjiang Zhou |
| author_facet | Lintao Ding Chenguang Shi Fei Wang Jianjiang Zhou |
| author_sort | Lintao Ding |
| collection | DOAJ |
| description | Abstract A low probability of intercept (LPI)‐based cooperative node selection and transmit resource allocation (CNS‐TRA) strategy is proposed for multi‐target tracking in multiple radars architecture (MRA). The key idea of the proposed CNS‐TRA strategy is to coordinate the radar node selection and the transmit resource that is, dwell time, transmit power, and effective bandwidth allocation to improve the LPI performance, under the constraints of predefined target tracking accuracy requirement and several resource budgets. By incorporating the above controllable parameters, the Bayesian Cramér‐Rao lower bound is calculated and used as the accuracy metric for target tracking. Subsequently, this paper develops a fast and effective two‐stage‐based solution methodology to solve the resulting non‐convex and non‐linear optimisation problem. Specifically, the optimisation problem can be decomposed into two sub‐problems, that is, the radar node selection sub‐problem and the transmit resource allocation sub‐problem. The active‐set method and the interior point approach are utilised to solve those two sub‐problems, respectively. Simulation results demonstrate that the CNS‐TRA strategy has superiority over other existing algorithms and can achieve better LPI performance for MRA. |
| format | Article |
| id | doaj-art-492162bc60c940108521fd494b631547 |
| institution | Kabale University |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-492162bc60c940108521fd494b6315472025-02-03T06:45:05ZengWileyIET Signal Processing1751-96751751-96832022-07-0116551552710.1049/sil2.12117Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architectureLintao Ding0Chenguang Shi1Fei Wang2Jianjiang Zhou3Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing ChinaKey Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing ChinaKey Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing ChinaKey Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing ChinaAbstract A low probability of intercept (LPI)‐based cooperative node selection and transmit resource allocation (CNS‐TRA) strategy is proposed for multi‐target tracking in multiple radars architecture (MRA). The key idea of the proposed CNS‐TRA strategy is to coordinate the radar node selection and the transmit resource that is, dwell time, transmit power, and effective bandwidth allocation to improve the LPI performance, under the constraints of predefined target tracking accuracy requirement and several resource budgets. By incorporating the above controllable parameters, the Bayesian Cramér‐Rao lower bound is calculated and used as the accuracy metric for target tracking. Subsequently, this paper develops a fast and effective two‐stage‐based solution methodology to solve the resulting non‐convex and non‐linear optimisation problem. Specifically, the optimisation problem can be decomposed into two sub‐problems, that is, the radar node selection sub‐problem and the transmit resource allocation sub‐problem. The active‐set method and the interior point approach are utilised to solve those two sub‐problems, respectively. Simulation results demonstrate that the CNS‐TRA strategy has superiority over other existing algorithms and can achieve better LPI performance for MRA.https://doi.org/10.1049/sil2.12117radar signal processingradar tracking |
| spellingShingle | Lintao Ding Chenguang Shi Fei Wang Jianjiang Zhou Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture IET Signal Processing radar signal processing radar tracking |
| title | Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture |
| title_full | Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture |
| title_fullStr | Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture |
| title_full_unstemmed | Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture |
| title_short | Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture |
| title_sort | low probability of intercept based cooperative node selection and transmit resource allocation for multi target tracking in multiple radars architecture |
| topic | radar signal processing radar tracking |
| url | https://doi.org/10.1049/sil2.12117 |
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