计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
7期
185-189
,共5页
MUSIC%FPGA%算法选择%硬件实现
MUSIC%FPGA%算法選擇%硬件實現
MUSIC%FPGA%산법선택%경건실현
multiple signal classification(MUSIC)%field programme gate array(FPGA)%algorithm selection%hardware implementation
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。
針對多重信號分類(MUSIC)算法計算複雜度高,難以實時實現的特點,給齣瞭適用于均勻線陣的實數化預處理算法和實用的空間譜定義,併選擇瞭適閤FPGA硬件實現的特徵值分解算法,給齣瞭MUSIC算法FPGA實現的整體架構。倣真實驗結果錶明,該FPGA實現能夠完成MUSIC算法的準確、快速計算。
침대다중신호분류(MUSIC)산법계산복잡도고,난이실시실현적특점,급출료괄용우균균선진적실수화예처리산법화실용적공간보정의,병선택료괄합FPGA경건실현적특정치분해산법,급출료MUSIC산법FPGA실현적정체가구。방진실험결과표명,해FPGA실현능구완성MUSIC산법적준학、쾌속계산。
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.