Joint Channel Coding based on LDPC Codes with Gaussian Kernel Reflecton and CS Redundancy

Authors

Fei Zhong, College of Electronic Science and Engineering, Jilin University, Changchun, Jilin, P. R. 130012, China
Shuxu Guo
Xu Xu

Author Country (or Countries)

China

Abstract

This paper proposes a new joint decoding algorithm frame based on compressed sensing CS and LDPC (Low-Density Parity-Check) codes. Redundant information can be effectively extracted and amplified by CS reconstruction as a compensation to correct decoding of LDPC codes.We adopt Gaussian kernel function of image segmentation as a reflection. Simulation results indicate, compared with LDPC algorithm, the algorithm presented in this paper can obviously make BER (bit error ratio) lower and improve system decoding performance, and different variance of Gaussian kernel function can obtain different results.

Suggested Reviewers

N/A

Recommended Citation

Zhong, Fei; Guo, Shuxu; and Xu, Xu (2013) "Joint Channel Coding based on LDPC Codes with Gaussian Kernel Reflecton and CS Redundancy," Applied Mathematics & Information Sciences: Vol. 07: Iss. 6, Article 35.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss6/35