Fast compressive sensing reconstruction algorithm on FPGA using Orthogonal Matching Pursuit

This paper presents a fast compressive sensing reconstruction algorithm implemented on FPGA using Orthogonal Matching Pursuit (OMP). The algorithm is optimized with QR decomposition to solve the least square problem and avoids the square root operations to facilitate the hardware implementation. The implementation results show that this design can run at a frequency of 100MHz and the proposed algorithm achieves 50% lower complexity than the other existed algorithms.