• DocumentCode
    189714
  • Title

    FPGA-based implementation of binary input compressive sensing decoder

  • Author

    Lu, Fang ; Rao, Wengui ; Dong, Yan

  • Author_Institution
    Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan, China
  • fYear
    2014
  • fDate
    15-19 June 2014
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    Binary input compressive sensing (BiCS) is the kernel of seamless rate adaptation system. But the high complexity of the decoding algorithms has prevented this technique from being applied to practical communication systems. In this paper, a decoder with serial architecture is proposed and implemented in FPGA. Two specific optimizations are employed to improve the throughput of the decoder. First, we take advantage of the configurable aspect ratio of the block RAM in FPGA to make the decoder work fully pipelined. Second, the ping pang operation is adopted to increase the hardware utilization efficiency. When the clock frequency is 300MHz and the number of iterations is 10, the maximum throughput of the decoder is about 29.4Mbps that reaches the range of communication rate in modern wireless networks.
  • Keywords
    Complexity theory; Compressed sensing; Computer architecture; Decoding; Field programmable gate arrays; Random access memory; Throughput; belief propagation; compressive sensing; ping pang operation; seamless rate adaption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computing (MECO), 2014 3rd Mediterranean Conference on
  • Conference_Location
    Budva, Montenegro
  • Print_ISBN
    978-1-4799-4827-7
  • Type

    conf

  • DOI
    10.1109/MECO.2014.6862657
  • Filename
    6862657