关键词: 压缩感知, 快速迭代阈值收缩算法, 基追踪抗量化噪声

Abstract: The FPGA realization of the recovery of non-uniform sampling signals in the wideband electronic reconnaissance is studied. Taking the non-uniform sampler as the compressed sampling model for sparse signals in frequency domain, the fast iterative shrinkage-thresholding algorithm is used to solve the L1 convex optimization problem of basis pursuit de-quantization. An approximate processing method is proposed to reduce the difficulty of hardware implementation. The realization method of signal recovery algorithm based on FISTA on FPGA is given, and relevant Verilog HDL code is compiled and verified on logical simulator. The running time of algorithm on FPGA is 6.7 ms. The results show that the designed recovery circuit is able to run correctly and has good real-time performance.

Key words: compressive sensing, fast iterative shrinkage-thresholding algorithm, basis pursuit de-quantization