压缩传感理论允许以低于奈奎斯特定理规定的采样频率对信号进行采样并重构。近年来,压缩传感信号重建的研究大多用软件实现。文中设计一种基于FPGA的OMP重构算法的硬件实现,使用QR分解求解矩阵的伪逆。仿真结果表明应用FPGA得到的重构信号逼近原信号,且重建速度快。基于FPGA的压缩传感信号重建,减少了信号重构所需的时间,推进了压缩传感进入实际应用的进程。 Compressive sensing theory allows the signal to be sampled and reconstructed at sampling frequencies below the Nyquist theorem. In recent years, the research of compressive sensing signal reconstruction is mostly realized by software. In this paper, we design a hardware implementation of OMP reconstruction algorithm based on FPGA and use QR decomposition to solve the pseudo-inverse of matrix. The simulation results show that the reconstructed signal obtained by FPGA approximates the original signal and the reconstruction speed is fast. FPGA-based compression sensing signal reconstruction, reducing the signal reconstruction time required to promote the compression sensing into the practical application of the process.