This paper is published in Volume-3, Issue-3, 2017
Area
Channel Coding, LDPC Codes.
Author
B. LasyaSri, B. Ashok Raj, L. Nirmala Devi
Org/Univ
Hindustan Aeronautics Limited, Bengaluru, India
Pub. Date
15 May, 2017
Paper ID
V3I3-1281
Publisher
Keywords
LDPC Codes, Processing, Decoding, Algorithm, Tanner Graph

Citationsacebook

IEEE
B. LasyaSri, B. Ashok Raj, L. Nirmala Devi. A Novel Approach for Efficient LDPC Decoding, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
B. LasyaSri, B. Ashok Raj, L. Nirmala Devi (2017). A Novel Approach for Efficient LDPC Decoding. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.

MLA
B. LasyaSri, B. Ashok Raj, L. Nirmala Devi. "A Novel Approach for Efficient LDPC Decoding." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.

Abstract

Recently, LDPC codes have been proved to be capable of closely approaching the channel capacity and hence they are strongly promoted in many international standards. Though decoding is simpler compared to Turbo code decoding, efficient decoding techniques for LDPC codes are in demand to make it further simpler. The theoretical performance of LDPC codes appears simple and close to Shannon’s capacity of channel, but the practical implementation is still challenging due to tasks like numerical inaccuracy, limited memory resources, etc. We investigate methods to reduce the complexity and make decoding simple while still keeping the loss in performance negligible. The aim of this paper is to reduce the complexity by simplification of the component decoders. For this, we analyze the min-sum algorithm and derive a theoretical framework. With this framework, we are able to modify the algorithm in order to achieve good performance for regular as well as irregular LDPC codes.