System on Chip Implementation of Low Complex Orthogonal Matching Pursuit Algorithm on FPGA

Venkata Reddy Kopparthi, Rangababu Peesapati, S. L. Sabat
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引用次数: 4

Abstract

This paper presents a System on Chip (SoC) implementation of the standard Orthogonal Matching Pursuit (OMP) algorithm using matrix partition and Modified Cholesky factorization techniques. A fixed-point optimized hardware Intellectual Property (IP) of the OMP algorithm is designed using a high-level synthesis (HLS) tool. The execution time of the optimized fixed-point hardware IP for different sparsity is compared with the equivalent fixed-point and floating-point realization on the Zynq-7000 Field Programmable Gate Array (FPGA). Intel senor data is used for verifying the functionality of the SoC design. The experiment is carried out for signal length (N), compressed signal length (M) as 256 and 84 respectively with different sparsity factor (K) as 5, 10 and 15. The acceleration factor of 70 and 73 is achieved for the fixed-point and floating-point software realization of the OMP algorithm, respectively.
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低复正交匹配追踪算法在FPGA上的片上实现
本文提出了一种基于矩阵划分和改进Cholesky分解技术的标准正交匹配追踪(OMP)算法的片上系统(SoC)实现。利用高级综合工具设计了OMP算法的定点优化硬件知识产权(IP)。将优化后的不同稀疏度的定点硬件IP的执行时间与Zynq-7000现场可编程门阵列(FPGA)上等效的定点和浮点实现进行了比较。英特尔传感器数据用于验证SoC设计的功能。实验分别在信号长度(N)为256、压缩信号长度(M)为84、稀疏度因子(K)为5、10、15的条件下进行。OMP算法的定点软件实现和浮点软件实现分别达到了70和73的加速系数。
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