基于遗传算法的稀疏子阵布阵优化软件
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国家自然科学基金项目(62071481,61501471)


Optimization Software for Sparse Subarray Layout Based on Genetic Algorithm
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    摘要:

    为降低相控阵雷达天线的系统复杂性及硬件成本,采用稀疏阵列和子阵技术对天线阵面进行稀疏优化布 阵。对稀疏子阵的布局优化进行分析,基于遗传算法研究优化后的稀疏子阵布局;对稀疏子阵波束形成算法进行设 计,通过采用二级加权法,先对子阵内部阵元采用固定加权法获取阵元级权矢量,再对子阵级数据采用自适应波束 形成算法求取子阵级最佳权矢量,从而实现稀疏子阵的波束形成;设计子阵优化布局与波束形成应用软件。结果表 明:该软件具有良好的人机交互界面,可对天线稀疏优化设计起到较好的辅助和验证作用,有效提高天线阵列优化 设计自动化程度。

    Abstract:

    In order to reduce the system complexity and hardware cost of phased array radar antenna, the sparse array and subarray technology are used to optimize the sparse array of antenna array. Firstly, the layout optimization of sparse subarrays is analyzed, and the optimized layout of sparse subarrays is studied based on genetic algorithm; Then, the sparse subarray beam forming algorithm is designed. Firstly, the fixed weighting method is used to obtain the weight vector of the array elements in the subarray, and then the adaptive beam forming algorithm is used to obtain the optimal weight vector of the subarray level data, so as to realize the beam forming of the sparse subarray. Finally, the application software of subarray optimization layout and beam forming is designed. The software has a good human-computer interaction interface, which can play a good role in assisting and verifying the optimization design of antenna array, and effectively improve the automation of optimization design of antenna array. The software has a good human-computer interaction interface, which can play a good role in assisting and verifying the optimization design of antenna array, and effectively improve the automation of optimization design of antenna array.

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引用本文

刘欣欣.基于遗传算法的稀疏子阵布阵优化软件[J].,2022,41(3).

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  • 收稿日期:2021-11-30
  • 最后修改日期:2021-12-28
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  • 在线发布日期: 2022-04-11
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