Optimal Allocation of Shared Aperture in Radar-communication Integrated System Based on Pareto Optimality
SHI Changan①② LIU Yimin① WANG Xiqin① YU Peng②
①(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China) ②(Luoyang Electronic Equipment Test Center of China, Luoyang 471003, China)
In this work, considering a radar-communication integrated radio frequency system, a dynamic allocation method of shared aperture using relevant environmental information is proposed. Firstly, the shared aperture allocation task is formulated as a Multi-Objective Optimization (MOO) problem based on Pareto optimality, which uses the peak side-lobe level of radar array pattern and the channel capacity of Multiple Input Multiple Output (MIMO) communication system as its objective function. Then, an improved particle swarm optimization algorithm based on integer encoding is proposed to solve the MOO problem. The iterative algorithm can find out a set of optimal solutions in the form of Pareto front, one of which can be chosen by decision makers as the most satisfactory solution according to mission requirements. Finally, the simulation results verify the effectiveness of the proposed method.
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SHI Changan, LIU Yimin, WANG Xiqin, YU Peng. Optimal Allocation of Shared Aperture in Radar-communication Integrated System Based on Pareto Optimality. JEIT, 2016, 38(9): 2351-2357.
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