均匀线阵的子阵划分及子阵级权矢量联合优化  

Co-optimization of Subarray Partition and Weight Vector at Subarray Level for Uniform Linear Array

作　　者：郑小雨[1] 刘洛琨[1] 郭虹[1] 杨金金[1] 

机构地区：[1]解放军信息工程大学信息系统工程学院,郑州450002

出　　处：《数据采集与处理》2016年第6期1242-1249,共8页Journal of Data Acquisition and Processing

基　　金：国家高技术研究发展计划("八六三"计划)(2013AA013603)资助项目;国家自然科学基金(61271253)资助项目

摘　　要：大型阵列采用子阵级处理方法可以用小的代价获得较好的处理性能。本文提出一种均匀线阵(Uniform linear array,ULA)子阵级处理方法,该方法综合考虑子阵划分及子阵级幅度权矢量对阵列输出性能的影响,运用粒子群算法(Particle swarm optimization,PSO)将子阵划分方式及子阵级幅度权值进行联合优化。通过仿真发现,该联合优化方法可以充分利用阵列划分方式的自由度,在已知阵列输出性能的前提下,准确地提供一组阵列划分方式及子阵级幅度权值。与常规方法相比,联合优化方法降低了阵列设计的计算量及阵列设计周期,并且可以得到性能更有针对性的方向图。本文方法也为大型阵列进行子阵划分提供了理论依据。Suboptimum performance may be obtained by processing at subarray level with a low cost in large array .Aiming at uniform linear array （ULA ） ,a subarray level processing method is proposed . Considering the impact of subarray division and weight vector at subarray level on array performance , subarray partition and weight vector at subarray level are optimized by particle swarm optimization （PSO） at the same time .Simulation results show that co‐optimization method can make full use of the array dividing degrees of freedom .When the array output performance is given ,the proposed method can get the way to divide the array and subarray amplitude weights easily .Compared with the conventional method ,co‐optimization method can reduce the computation amount of array designing and the cycle for designing array .Moreover ,pattern with greater pertinence can be achieved .The method also provides a theoretical basis of subarray partition for a large array .

关 键 词：子阵划分 方向图综合 联合优化 均匀线阵 粒子群算法 

分 类 号：TP911.7[自动化与计算机技术]