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| Content Provider | IET Digital Library |
|---|---|
| Author | Yang, Yichuan Zhang, Tianxian Yi, Wei Kong, Lingjiang Li, Xiaolong Yang, Xiaobo |
| Abstract | Considering a multi-stage stochastic task, in which a multi-static radar system (MSRS) is applied to assist with missile interception, the authors study an optimisation problem of radar resource management. Specifically, under restriction of a fixed energy budget, the authors devote to minimise the loss, which is caused by the unsuccessfully intercepted missiles, through optimal power allocation (OPA) of MSRS within multiple stages. The design of OPA can be translated into a sequential decision-making problem. The authors formulate the problem through variable definition and modelling the missile interception procedure. As the authors need to consider the randomness of multiple coupled stages and jointly allocation power between multiple radar nodes, to solve the proposed problem is of huge computational load. The authors propose a solution that combines with reinforcement learning and particle swarm optimisation. Comparing with the uniform power allocation scheme, the simulation results demonstrate that the OPA scheme designed by the proposed method is capable to achieve preferable and more stable performance for the whole missile interception. The authors' contributions include a novel optimisation resource management model for a multi-stage stochastic task and an effective solution for the optimal resource management scheme. |
| Starting Page | 540 |
| Ending Page | 548 |
| Page Count | 9 |
| ISSN | 17518784 |
| Volume Number | 12 |
| e-ISSN | 17518792 |
| Issue Number | Issue 5, May (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/12/5 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0534 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher Date | 2018-02-07 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Computational Load Decision Making Fixed Energy Budget Knowledge Engineering Technique Learning in AI Loss Minimisation Military Computing Military Engineering Computing Military Radar Minimisation Missile Interception Multi-stage Stochastic Task Missiles MSRS Multiple Coupled Stages Multistatic Radar Power Allocation OPA Optimal Power Allocation Optimal Resource Management Scheme Optimisation Technique Particle Swarm Optimisation Radar Resource Management Optimisation Problem Reinforcement Learning Sequential Decision-making Problem Statistics Stochastic Linearised SCUC Uniform Power Allocation Scheme |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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