Compressive Sensing Measurement Matrix Generator Based on Improved SC-Array LDPC Code

被引:0
|
作者
Haiying Yuan
Hongying Song
Xun Sun
Kun Guo
机构
[1] Beijing University of Technology,College of Electronic Information and Control Engineering
[2] Tsinghua University,Department of Electronic Engineering
来源
Circuits, Systems, and Signal Processing | 2016年 / 35卷
关键词
Compressive sensing; Sparse signal sampling; Measurement matrix generator; ISC-array LDPC code matrix; Area consumption;
D O I
暂无
中图分类号
学科分类号
摘要
We construct and implement a compressive sensing measurement matrix based on improved size-compatible (ISC)-array low-density parity-check (LDPC) code. First, we propose an improved measurement matrix from the array LDPC code matrix. The proposed measurement matrix retains suitable quasi-cyclic structures and supports arbitrary code lengths. It also achieves a high perfect recovery percentage compared with a Gaussian random matrix of the same size. Second, we propose a hardware scheme using cycle shift registers to design the compressive sensing measurement matrix generator. This provides simple circuit architecture during the generation of the measurement matrix. According to simulation verifications, the measurement matrix construction method is effective and entails fewer shift registers and a lower area overhead by using a simplified hardware implementation scheme. The compressive sensing measurement matrix generator can generate all of the required elements in the ISC-array LDPC code matrix with an acceptable hardware overhead. Therefore, it can be widely applied to large-scale sparse signal compressive sensing.
引用
收藏
页码:977 / 992
页数:15
相关论文
共 50 条
  • [31] Moving target compressive imaging based on improved row scanning measurement matrix
    Wang Pan-Pan
    Yao Xu-Ri
    Liu Xue-Feng
    Yu Wen-Kai
    Qiu Peng
    Zhai Guang-Jie
    ACTA PHYSICA SINICA, 2017, 66 (01)
  • [32] Steerable sparse linear array design based on compressive sensing with multiple measurement vectors
    Goel, Arun
    Kumar, Arun
    Bahl, Rajendar
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2019, 145 (03): : 1212 - 1220
  • [33] Multiple chaotic maps based secure measurement matrix generation for multimedia compressive sensing
    George, Sudhish N.
    Pattathil, Deepthi P.
    INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 2016, 9 (01) : 38 - 54
  • [34] A gradient-based alternating minimization approach for optimization of the measurement matrix in compressive sensing
    Abolghasemi, Vahid
    Ferdowsi, Saideh
    Sanei, Saeid
    SIGNAL PROCESSING, 2012, 92 (04) : 999 - 1009
  • [35] High Performance SC-LDPC Code Based on Affine Permutation Matrices
    Zhu K.
    Yang H.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2022, 45 (02): : 131 - 136
  • [36] New measurement matrix for compressive sensing in cognitive radio networks
    Ebian, Ahmed
    Abdelhamid, Bassant
    El-Ramly, Salwa
    IET COMMUNICATIONS, 2018, 12 (11) : 1297 - 1306
  • [37] An Improved Algorithm Based on ROMP for Compressive Sensing
    Hu, Yanjun
    Hu, Youchao
    Huang, Heqing
    PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 1, 2018, 15 : 199 - 206
  • [38] MEASUREMENT MATRIX DESIGN FOR COMPRESSIVE SENSING WITH SIDE INFORMATION AT THE ENCODER
    Song, Pingfan
    Mota, Joao F. C.
    Deligiannis, Nikos
    Rodrigues, Miguel Raul Dias
    2016 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP), 2016,
  • [39] A survey on deterministic measurement matrix construction algorithms in compressive sensing
    Wang, Q. (wangqiang@hit.edu.cn), 1600, Chinese Institute of Electronics (41):
  • [40] An Array Interpolation Based Compressive Sensing DOA Method for Sparse Array
    Cui, Ao
    Xu, Teng
    Yu, Weichuang
    He, Peiyu
    Xu, Zili
    2019 3RD INTERNATIONAL CONFERENCE ON IMAGING, SIGNAL PROCESSING AND COMMUNICATION (ICISPC), 2019, : 24 - 27