用于太赫兹高速通信的FIR滤波器64并行实现算法  

64 parallel implementation algorithm of FIR filter for terahertz high-speed communication

作　　者：王颖 刘娟[1,2] 郝鑫[1,2] 吴秋宇 林长星[1,2] WANG Ying;LIU Juan;HAO Xin;WU Qiuyu;LIN Changxing(Microsystem and Terahertz Research Center,China Academy of Engineering Physics,Chengdu Sichuan 610200,China;Institute of Electronic Engineering,China Academy of Engineering Physics,Mianyang Sichuan 621999,China)

机构地区：[1]中国工程物理研究院微系统与太赫兹研究中心,四川成都610200 [2]中国工程物理研究院电子工程研究所,四川绵阳621999

出　　处：《太赫兹科学与电子信息学报》2020年第4期560-564,共5页Journal of Terahertz Science and Electronic Information Technology

摘　　要：为满足太赫兹无线通信系统对大容量基带信号处理算法的要求,基于直接从多项式分解导出的传统滤波器并行实现算法,通过矩阵变化推导出复杂度更小的快速有限冲激响应(FIR)滤波器并行实现。在此基础上通过张量积的表示给出了2并行、4并行和8并行的转换公式以及实现架构。既而推导出2^N并行快速FIR滤波器的通用实现公式,并对比了优化前后的复杂度差异。最后给出了64并行的快速FIR滤波器的推导公式和具体实现架构,以及优化前后的硬件复杂度对比,64并行的快速FIR滤波器算法资源消耗更少。In order to meet the requirements of the terahertz wireless communication system for large-capacity baseband signal processing algorithms, basing on the traditional filter parallel implementation algorithm derived directly from polynomial decomposition, a parallel implementation of a fast Finite Impulse Response(FIR) filter with less complexity is derived by matrix variation. On this basis, the 2 parallel, 4 parallel and 8 parallel conversion formulas and implementation architecture are given by the tensor product representation. The general implementation formula of the parallel fast FIR filter is derived and the complexity difference before and after optimization is compared. Finally, the derivation formula and specific implementation architecture of the 64 parallel fast FIR filter are given, as well as the hardware complexity comparison before and after optimization.

关 键 词：FIR滤波器 并行化 数字信号处理 算法研究 

分 类 号：TN911.72[电子电信—通信与信息系统]