Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System
Phased array radar can simultaneously form multiple beams that can scan without inertia allowing for flexible pointing. In this paper, we propose a joint beam and dwell time allocation strategy for multi-target tracking in a phased array radar system to achieve multi-target tracking with less system...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2017-12-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | http://radars.ie.ac.cn/fileup/HTML/R17045.htm |
| _version_ | 1797427909166628864 |
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| author | Wang Xiangli Yi Wei Kong Lingjiang |
| author_facet | Wang Xiangli Yi Wei Kong Lingjiang |
| author_sort | Wang Xiangli |
| collection | DOAJ |
| description | Phased array radar can simultaneously form multiple beams that can scan without inertia allowing for flexible pointing. In this paper, we propose a joint beam and dwell time allocation strategy for multi-target tracking in a phased array radar system to achieve multi-target tracking with less system resources. First, we formulate an optimization problem for minimizing the total dwell time on all targets while guaranteeing to meet a predetermined target-tracking accuracy requirement. The Bayesian Cramer-Rao Lower Bound (BCRLB) is introduced as the tracking performance metric since it provides a lower bound for the error of target state estimate. Second, after proving the optimization problem is nonconvex, we propose a two-step decomposition algorithm which is first to determine the beam pointing and then allocate the beam dwell time to solve it. Finally, we achieve multi-target tracking based on the resource allocation results. Simulation results show that our optimization strategy is effective in saving resources and is favorable for achieving a better tracking performance of worse targets as compared to an operating mode wherein uniform resource allocation occurs. |
| first_indexed | 2024-03-09T08:50:24Z |
| format | Article |
| id | doaj.art-eeca174ae4f24fecbbabe2fc04ea609d |
| institution | Directory Open Access Journal |
| issn | 2095-283X 2095-283X |
| language | English |
| last_indexed | 2024-03-09T08:50:24Z |
| publishDate | 2017-12-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-eeca174ae4f24fecbbabe2fc04ea609d2023-12-02T14:31:59ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2017-12-016660261010.12000/JR17045Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar SystemWang Xiangli0Yi Wei1Kong Lingjiang2(School of Electronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)(School of Electronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)(School of Electronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)Phased array radar can simultaneously form multiple beams that can scan without inertia allowing for flexible pointing. In this paper, we propose a joint beam and dwell time allocation strategy for multi-target tracking in a phased array radar system to achieve multi-target tracking with less system resources. First, we formulate an optimization problem for minimizing the total dwell time on all targets while guaranteeing to meet a predetermined target-tracking accuracy requirement. The Bayesian Cramer-Rao Lower Bound (BCRLB) is introduced as the tracking performance metric since it provides a lower bound for the error of target state estimate. Second, after proving the optimization problem is nonconvex, we propose a two-step decomposition algorithm which is first to determine the beam pointing and then allocate the beam dwell time to solve it. Finally, we achieve multi-target tracking based on the resource allocation results. Simulation results show that our optimization strategy is effective in saving resources and is favorable for achieving a better tracking performance of worse targets as compared to an operating mode wherein uniform resource allocation occurs.http://radars.ie.ac.cn/fileup/HTML/R17045.htmBayesian Cramer-Rao Lower Bound (BCRLB)Optimization problemJoint resource allocation strategyMultiple targets tracking |
| spellingShingle | Wang Xiangli Yi Wei Kong Lingjiang Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System Leida xuebao Bayesian Cramer-Rao Lower Bound (BCRLB) Optimization problem Joint resource allocation strategy Multiple targets tracking |
| title | Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System |
| title_full | Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System |
| title_fullStr | Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System |
| title_full_unstemmed | Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System |
| title_short | Joint Beam Selection and Dwell Time Allocation for Multi-target Tracking in Phased Array Radar System |
| title_sort | joint beam selection and dwell time allocation for multi target tracking in phased array radar system |
| topic | Bayesian Cramer-Rao Lower Bound (BCRLB) Optimization problem Joint resource allocation strategy Multiple targets tracking |
| url | http://radars.ie.ac.cn/fileup/HTML/R17045.htm |
| work_keys_str_mv | AT wangxiangli jointbeamselectionanddwelltimeallocationformultitargettrackinginphasedarrayradarsystem AT yiwei jointbeamselectionanddwelltimeallocationformultitargettrackinginphasedarrayradarsystem AT konglingjiang jointbeamselectionanddwelltimeallocationformultitargettrackinginphasedarrayradarsystem |