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基于聚类算法的最优子阵划分方法研究
  • 期刊名称:电子学报,2011, 39(11): 2615-2621
  • 时间:0
  • 分类:TP957[自动化与计算机技术]
  • 作者机构:[1]国防科技大学电子科学与工程学院,湖南长沙410073
  • 相关基金:国家自然科学基金(No.60901072)
  • 相关项目:雷达目标极化信息获取与处理
中文摘要:

系统研究了大型阵列雷达中的最优子阵划分问题.分析了权矢量逼近准则下最优子阵划分方法的理论基础,得出最优子阵划分方案是否具有邻接性的判断依据,同时提出了一种新的子阵划分方法.与传统的基于聚类算法的子阵划分方法相比,新方法能够进一步减少权矢量逼近误差,获得更优的波束性能.在给定面阵结构及和差波束形成框架下,对提出的新方法进行仿真分析,并与两种传统的子阵划分方法相比较,验证了新方法的有效性.

英文摘要:

This paper deals with the optimization of subarray partition operated in large array radar.The theoretical basis of the optimal subarray partition is analyzed based on the principle of minimizing the "residual error" of excitation coefficients.The judgment basis about the contiguous characteristic of the optimal subarray partition is presented,and an innovative approach for subarray partition is proposed.Comparing with the traditional method based on clustering algorithm,the new method can decrease the "residual error" father more,and hold better beam performance.Numerical experiments are reported when the construct of the array and the feed architecture of sum and difference beams are given.Comparing research with two old methods is also presented,and the results demonstrate the efficacy of the proposed methods.

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