Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array Radars
For the Multi-Target Tracking (MTT) of distributed netted phased array radars, this paper proposes a joint beam and dwell time allocation algorithm driven by dynamic threats. First, a Bayesian Cramer-Rao Lower Bound (BCRLB), including beam and dwell time allocation, is derived. Then, a comprehensive...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2023-06-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR22240 |
| _version_ | 1797428972568444928 |
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| author | Xiaocheng SONG Zhi LI Haiwei REN Wei YI |
| author_facet | Xiaocheng SONG Zhi LI Haiwei REN Wei YI |
| author_sort | Xiaocheng SONG |
| collection | DOAJ |
| description | For the Multi-Target Tracking (MTT) of distributed netted phased array radars, this paper proposes a joint beam and dwell time allocation algorithm driven by dynamic threats. First, a Bayesian Cramer-Rao Lower Bound (BCRLB), including beam and dwell time allocation, is derived. Then, a comprehensive threat evaluation scale is constructed based on the real-time motion state of the target, and a utility function based on the tracking accuracy reference threshold and contributed weights is designed for targets with different threats to measure the relationship of resource allocation prioritization among multiple targets. Afterward, an optimal distribution model of the joint beam and the dwell time driven by the dynamic threat of the target is established; the utility function is combined with the resources of the netted phased array radar system. Finally, the problem is solved using a reward-based iterative descent search algorithm, and the effectiveness of the algorithm is verified via simulation. The simulation results show that the proposed algorithm can determine the tracking accuracy requirements of different targets and allocate tracking resources based on the multi-target threat assessment results, thereby improving the comprehensive tracking accuracy of networked phased array radars. |
| first_indexed | 2024-03-09T09:06:29Z |
| format | Article |
| id | doaj.art-d82f186b73e24245b6f793212763775f |
| institution | Directory Open Access Journal |
| issn | 2095-283X |
| language | English |
| last_indexed | 2024-03-09T09:06:29Z |
| publishDate | 2023-06-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-d82f186b73e24245b6f793212763775f2023-12-02T10:24:25ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2023-06-0112362964110.12000/JR22240R22240Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array RadarsXiaocheng SONG0Zhi LI1Haiwei REN2Wei YI3Beijing Institute of Electronic Engineering, Beijing 100854, ChinaBeijing Institute of Electronic Engineering, Beijing 100854, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaFor the Multi-Target Tracking (MTT) of distributed netted phased array radars, this paper proposes a joint beam and dwell time allocation algorithm driven by dynamic threats. First, a Bayesian Cramer-Rao Lower Bound (BCRLB), including beam and dwell time allocation, is derived. Then, a comprehensive threat evaluation scale is constructed based on the real-time motion state of the target, and a utility function based on the tracking accuracy reference threshold and contributed weights is designed for targets with different threats to measure the relationship of resource allocation prioritization among multiple targets. Afterward, an optimal distribution model of the joint beam and the dwell time driven by the dynamic threat of the target is established; the utility function is combined with the resources of the netted phased array radar system. Finally, the problem is solved using a reward-based iterative descent search algorithm, and the effectiveness of the algorithm is verified via simulation. The simulation results show that the proposed algorithm can determine the tracking accuracy requirements of different targets and allocate tracking resources based on the multi-target threat assessment results, thereby improving the comprehensive tracking accuracy of networked phased array radars.https://radars.ac.cn/cn/article/doi/10.12000/JR22240netted phased array radarthreat assessmentbayesian cramer-rao lower bound (bcrlb)multi-target tracking (mtt)resource allocation |
| spellingShingle | Xiaocheng SONG Zhi LI Haiwei REN Wei YI Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array Radars Leida xuebao netted phased array radar threat assessment bayesian cramer-rao lower bound (bcrlb) multi-target tracking (mtt) resource allocation |
| title | Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array Radars |
| title_full | Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array Radars |
| title_fullStr | Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array Radars |
| title_full_unstemmed | Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array Radars |
| title_short | Threat-driven Resource Allocation Algorithm for Distributed Netted Phased Array Radars |
| title_sort | threat driven resource allocation algorithm for distributed netted phased array radars |
| topic | netted phased array radar threat assessment bayesian cramer-rao lower bound (bcrlb) multi-target tracking (mtt) resource allocation |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR22240 |
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