现代防御技术 ›› 2021, Vol. 49 ›› Issue (2): 72-77.DOI: 10.3969/j.issn.1009-086x.2021.02.011

• 目标特性与探测跟踪技术 • 上一篇    下一篇

递进型优化算法对相控阵天线阵列的波束优化

马小梦, 何岷, 张长革   

  1. 北京遥感设备研究所,北京 100854
  • 收稿日期:2020-11-02 修回日期:2020-12-22 出版日期:2021-04-20 发布日期:2021-04-30
  • 作者简介:马小梦(1994-),男,河北邯郸人。硕士生,从事相控阵天线阵列优化及天线罩补偿技术相关研究。通信地址:100854 北京市142信箱205分箱 E-mail:778070973@qq.com
  • 基金资助:

Progressive Optimization Algorithm for Beam Optimization of Phased Array Antenna Array

MA Xiao-meng, HE Min, ZHNAG Chang-ge   

  1. Beijing Institute of Remote Sensing Equipment,Beijing 100854,China
  • Received:2020-11-02 Revised:2020-12-22 Online:2021-04-20 Published:2021-04-30

摘要: 针对相控阵导引头中存在的误差和干扰对阵列波束的影响,提出了权值近似和遗传算法结合的递进型算法实现对波束的最大优化。该算法综合考虑了阵列的互耦效应对波束的干扰以及量化误差,在权值近似的基础上将阵列波束的旁瓣电平、零深和波束宽度作为优化指标,引入遗传算法不断逼近实现波束的优化。该递进算法在权值近似的基础上优化,进一步提升了波束的性能,同时具有很强的灵活性。

关键词: 相控阵导引头, 权值近似, 遗传算法, 递进型算法, 互耦效应, 量化误差

Abstract: Aiming at the influence of errors and interference in the phased array seeker on the array beam,proposes a progressive algorithm combining weight approximation and genetic algorithm to achieve the maximum optimization of the beam.The algorithm comprehensively considers the interference of the mutual coupling effect of the array on the beam and the quantization error.Based on the approximate weights,the sidelobe level,zero depth and beam width of the array beam are used as optimization indicators,and genetic algorithms are introduced to continuously approach the realization of the beam Optimization.The progressive algorithm is optimized on the basis of approximate weights,which further improves the performance of the beam and has strong flexibility.

Key words: phased array seeker, approximate weight, genetic algorithm, progressive algorithm, mutual coupling effect, quantization error

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