| Citation: | LIU W，LIU C Y，GUO X K，et al. Deployment optimization method for missile early warning radar under complex and multi-directional missile threats[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（4）：1392-1404 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0486
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An optimized deployment model of multiple missile early warning radars is established based on the distinct mission characteristics of early warning radar, tracking and identification radar, and transportable early warning radar in order to address the situation where the deployment of existing missile early warning radars is relatively independent, difficult to cooperate with, and difficult to meet the large-scale operation scenario. Under the constraints of optimal coverage, cooperative handover, and target identification, the cooperative deployment of early warning radars is solved. A cloud adaptive partition optimization binary particle swarm optimization (CPBPSO) algorithm is designed. In order to make the algorithm more suited for solving early warning radar deployment problems, the partition coding strategy is used to shrink the algorithm’s solution space. The cloud adaptive mutation operator is then added to enhance the algorithm’s global optimization and local jumping capability.The example verifies the feasibility of the model in solving the deployment problem of single-direction and multi-direction threat scenarios and analyzes the effectiveness of the CPBPSO algorithm, which basically meets the needs of the optimal cooperative deployment of missile early warning radar.
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