基于脉动阵的自适应波束形成算法仿真  

Simulations of Adaptive Beamforming Algorithms Based on Systolic Array

作　　者：包志强[1] 丁康利 单洁[1] 

机构地区：[1]西安邮电大学通信与信息工程学院,西安710121

出　　处：《无线通信技术》2014年第2期1-5,10,共6页Wireless Communication Technology

基　　金：陕西省自然科学基金资助项目(2012JQ8011);陕西省教育厅自然科学研究计划(11JK0925);西安邮电大学中青年基金资助项目(109-0425)

摘　　要：为了满足自适应波束形成技术对实时性的要求,将脉动阵应用于波束形成算法中,以实现自适应权向量的实时获取。通过对QR分解采样矩阵求逆算法、混合型QR分解采样矩阵求逆算法和逆QR分解采样矩阵求逆算法的理论分析,利用脉动阵,对输入数据矩阵进行QR分解,得到旋转因子,实现自适应权向量的实时更新。针对三种算法各自的脉动阵进行仿真,结果表明,基于脉动阵的自适应波束形成算法实现了权向量的高速获取,并为后续的工程实践提供了理论依据。In order to meet the real - time requirements in adaptive beamforming technology, the systolic array technique is applied to the beamforming algorithm in order to obtain the real time adap- tive weight vector. Through the theoretical analysis of the three kinds of adaptive beamforming algo- rithms,which include the sample matrix inversion algorithm based on QR decomposition （QRD - SMI）, the sample matrix inversion algorithm based on mixed QR decomposition（ MQRD - SMI）, and the sample matrix inversion algorithm based on inverse QR decomposition（IQRD- SMI）, the rotation factor can be gotten by the QR decomposition for the input data matrix based on the systolic array, and also the real time updates of the adaptive weight vector is achieved. After the simulation on the respective systolic array, it can be seen that using the systolic array to achieve the high - speed extraction adaptive weight vector is available, and also a theoretical evidence is provided for the following engineering practice.

关 键 词：脉动阵 自适应波束形成 QR分解 

分 类 号：TN911[电子电信—通信与信息系统]