基于Systolic阵的IQRD-SMI算法的研究与FPGA优化实现  

Research and FPGA Optimization Implementation of IQRD-SMI Algorithm Based on Systolic Array

作　　者：刘禹韬 包志强[1] 李龙龙[1] 苏子昊[1] 

机构地区：[1]西安邮电大学,西安710061

出　　处：《计算机测量与控制》2016年第2期239-241,246,共4页Computer Measurement &Control

基　　金：国家自然科学基金资助项目(61271276);陕西省自然科学基金资助项目(2012JQ8011)

摘　　要：针对自适应波束形成系统中权值求解计算量大的问题,研究了基于LCMV的逆QR分解算法(IQRD-SMI算法)及其传统脉动流水的GR-TSA实现结构,在Matlab中对算法以脉动阵搭建并进行算法仿真;分析了CORDIC技术的原理以及如何利用它在FPGA上实现Systolic阵中的处理单元;在此基础上,给出一种基于Systolic阵列的复用IQRD-SMI算法实现结构GR-ITSA,比较了它与已有文献中结构的异同;基于ISE软件,在Xilinx的xc7k325t型FPGA上实现了基于脉动阵列的IQRD-SMI算法的底层设计和硬件仿真,并将FPGA定点仿真数据回传Matlab与计算机浮点仿真数据对比,进而进行系统的性能与误差分析。For the problem of the weight values need a large amount of calculations in the adaptive beam--forming system, studied the in- verse QR decomposition algorithm based on LCMV （IQRD--SMI algorithm） and the structure of traditional Systolic array GR--TSA, built with systolic array structures and simulated in Matlab. The principle of CORDIC technology is analyzed and how to use it on FPGA imple- ment systolic array processing unit. On the basis of this, Based on the reuse of systolic arrays IQRD--SMI algorithm structure is given, Compared it with existing in the literature. Underlying design based on IQRD--SMI algorithm and hardware simulation based on systolic ar- ray he realized with xc7k325t in Xilinx FPGA, And the FPGA fixed--point simulation data and the computer floating point simulation data contrast. The system and error is analysed.

关 键 词：自适应波束形成算法 FPGA Matlab 脉动阵 CORDIC技术 GR-ITSA 

分 类 号：TN975[电子电信—信号与信息处理]