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
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