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作 者:房帅[1] 张芮萌 孙进平[2] Fang Shuai;Zhang Ruimeng;Sun Jinping(No.3 Research Institute of CETC,Beijing 100015,China;School of Electronic and Information Engineering,Beihang University,Beijing 100191,China)
机构地区:[1]中国电子科技集团公司第三研究所,北京100015 [2]北京航空航天大学电子信息工程学院,北京100191
出 处:《电子测量技术》2021年第8期59-64,共6页Electronic Measurement Technology
摘 要:针对目标位于阵列天线近场情况下的方向图综合问题,提出了一种基于成功父代选择框架下改进差分进化(SPS-JADE)算法的近场方向图综合方法。在对近场方向图时延参数表达式以及方向图模型进行推导分析的基础上,以一维直线非均匀阵列天线的阵元位置参数作为优化变量,以波束聚焦和降低旁瓣电平作为优化目标,将近场方向图综合问题转化为了优化问题,并针对该问题给出了改进的智能优化算法——SPS-JADE算法,以提高方向图综合的优化性能。通过仿真实验,对比了该算法与其他智能优化算法的近场方向图综合性能,实验结果表明,SPS-JADE算法表现优于对比算法,在角度维和距离维方向图中分别得到了平均低于-22.1 dB和-9.3 dB的归一化最高旁瓣电平结果,并成功实现波束聚焦,证明了该算法具有超越传统算法的良好的近场方向图综合能力。Due to the problem of pattern synthesis of the antenna array with targets lying in the near-field,a near-field pattern synthesis algorithm based on SPS-JADE algorithm is proposed.Based on the derivation and analysis of delay expression and pattern model of near-field pattern,with the element positions of linear non-uniform antenna array being the optimization variables and attaining beam focusing and sidelobe suppression being the optimization objective,the pattern synthesis in the near-field is transformed as an optimization problem.And an improved intelligent optimization algorithm,SPS-JADE algorithm is used to solve the problem and improve the optimization performance of pattern synthesis.The simulation experiments compared with other intelligent optimization algorithms are carried out,with the SPS-JADE algorithm performs,the average normalized maximum sidelobe level is lower than-22.1 dB and-9.3 dB in the angle and range dimension patterns,respectively,and the beam focusing is realized successfully,these results are superior to the other algorithms,which show that the algorithm has better near-field pattern synthesis ability than traditional methods.
分 类 号:TN957[电子电信—信号与信息处理]
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