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Received:November 30, 2013 Revised:January 07, 2014
Received:November 30, 2013 Revised:January 07, 2014
中文摘要: 针对多重信号分类(MUSIC)算法计算复杂度高,难以实时实现的特点,给出了适用于均匀线阵的实数化预处理算法和实用的空间谱定义,并选择了适合FPGA硬件实现的特征值分解算法,给出了MUSIC算法FPGA实现的整体架构. 仿真实验结果表明,该FPGA实现能够完成MUSIC算法的准确、快速计算.
Abstract:Multiple signal classification(MUSIC) is a computationally complex algorithm that is hard to implement for real-time application. First, for the case of uniform linear array(ULA), the preprocessing algorithm making the following computations in real-value is presented and a practical spatial spectrum is defined. The algorithms for eigenvalue decomposition(EVD) suitable for hardware implementation is selected as well. Then the overall architecture of a FPGA implementation of MUSIC is proposed. Verification results show that this implementation with FPGA can compute MUSIC accurately with high speed.
keywords: multiple signal classification(MUSIC) field programme gate array(FPGA) algorithm selection hardware implementation
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基金项目:西北工业大学研究生创业种子基金(Z2013069)
引用文本:
白银山,李宏.MUSIC算法的FPGA实现.计算机系统应用,2014,23(7):185-189
BAI Yin-Shan,LI Hong.FPGA Implementation of MUSIC.COMPUTER SYSTEMS APPLICATIONS,2014,23(7):185-189
白银山,李宏.MUSIC算法的FPGA实现.计算机系统应用,2014,23(7):185-189
BAI Yin-Shan,LI Hong.FPGA Implementation of MUSIC.COMPUTER SYSTEMS APPLICATIONS,2014,23(7):185-189