探测与控制学报2024,Vol.46Issue(5) :50-56.

降维长矢量MUSIC算法的高速并行FPGA实现

High-speed Parallel FPGA Implementation of Dimensionality Reduction Long Vector MUSIC Algorithms

李晓璇 孙闽红
探测与控制学报2024,Vol.46Issue(5) :50-56.

降维长矢量MUSIC算法的高速并行FPGA实现

High-speed Parallel FPGA Implementation of Dimensionality Reduction Long Vector MUSIC Algorithms

李晓璇 1孙闽红1
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作者信息

  • 1. 杭州电子科技大学通信工程学院,浙江 杭州 310018
  • 折叠

摘要

在极化敏感圆阵通过降维长矢量多重信号分类(DRLV-MUSIC)算法实现DOA估计的现场可编程门阵列(FPGA)实现时,为了进一步缩短计算时间的同时节省硬件占用资源,提出一种特征值与特征向量并行计算的FPGA实现结构,同时利用矩阵相乘的重复性,提出一种并行矩阵运算方法,缩短FPGA的计算时间同时节约硬件资源.该FPGA方案由预处理模块、协方差矩阵计算模块、并行Jacobi算法计算特征值模块、并行特征向量计算模块组成.实验结果表明,与非并行的DRLV-MUSIC算法相比,该方案在减少计算时间、降低硬件占用资源的同时保证了测角精度.

Abstract

In order to solve the problem that directly embedded FPGA will consume lots of hardware resources and overlong computing time to achieve angle measurement through polarization dimensionality reduction multi-ple signal classification(dimensionality reduction long vector multiple signal classification,DRLV-MUSIC)al-gorithm,an FPGA implementation structure of parallel calculation of eigenvalues and eigenvectors was pro-posed.Otherwise parallel matrix operation method was proposed to shorten the calculation time of FPGA by u-sing the repeatability of mutability.The FPGA scheme was comprised of a preprocessing module,a covariance matrix calculation module,a parallel Jacobi algorithm computing eigenvalue module and a parallel eigenvector compu-ting module.Experimental results showed that the scheme reduced the calculation time and hardware resources while ensuring the angular measurement accuracy compared with the non-parallel DRLV-MUSIC algorithm.

关键词

DOA估计/DRLV_MUSIC算法/FPGA

Key words

DO A estimates/DRLV-MUSIC/FPGA

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基金项目

国家自然科学基金项目(61901149)

国防特色学科发展项目(JCKY2019415D002)

出版年

2024
探测与控制学报
中国兵工学会 西安机电信息研究所 机电工程与控制国家级重点实验室

探测与控制学报

CSTPCDCSCD北大核心
影响因子:0.267
ISSN:1008-1194
参考文献量16
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