基于聚类算法的最优子阵划分方法研究  

Research on the Optimal Subarray Partition Based on Clustering Algorithm

作　　者：熊子源[1] 徐振海[1] 张亮[1] 吴迪军[1] 肖顺平[1] 

机构地区：[1]国防科技大学电子科学与工程学院,湖南长沙410073

出　　处：《电子学报》2011年第11期2615-2621,共7页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60901072)

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.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.

关 键 词：阵列信号处理 相控阵天线 子阵划分 和差波束 单脉冲 聚类算法 

分 类 号：TP957[自动化与计算机技术]