Error Performance of Decoding of LDPC over AWGN Channel

نویسنده

  • G. Renuka
چکیده

The design of future communication systems with high throughput demands will become a critical task, especially when sophisticated channel coding schemes have to be applied. Low-Density Parity-Check(LDPC) codes are among the most powerful forward error correcting codes, since they enable to get as close as a fraction of a dB from the Shannon limit. A simplified decoding algorithms for decoding Low-Density Parity-Check (LDPC)codes is proposed with a view to reduce the implementation complexity. The algorithm is based on simple hard-decisiondecoding techniques while utilizing the advantages of soft channel information to improve decoder performance . This astonishing performance combined with their relatively simple decoding algorithm makes these codes very attractive for the next digital transmission system generations.The parity check matrix used for the LDPC codes is sparse. The complexity and performance of codes are improved by the modifications in the decoding algorithm. This work deals with study and implementation of LDPC coding system over AWGN Channel. Keywords— LDPC Low Density Parity Check, AWGN Additive White Gaussian Niose, BER Bit error Rate, SPA Sum Product Algorithm,MPA Message Passing Algorithm, BP Belief Propagation, MS Min-sum Algorithm

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Distance Properties of Short LDPC Codes and Their Impact on the BP, ML and Near-ML Decoding Performance

Parameters of LDPC codes, such as minimum distance, stopping distance, stopping redundancy, girth of the Tanner graph, and their influence on the frame error rate performance of the BP, ML and near-ML decoding over a BEC and an AWGN channel are studied. Both random and structured LDPC codes are considered. In particular, the BP decoding is applied to the code parity-check matrices with an incre...

متن کامل

Absorbing Set Analysis and Design of LDPC Codes from Transversal Designs over the AWGN Channel

In this paper we construct low-density parity-check (LDPC) codes from transversal designs with low error-floors over the additive white Gaussian noise (AWGN) channel. The constructed codes are based on transversal designs that arise from sets of mutually orthogonal Latin squares (MOLS) with cyclic structure. For lowering the error-floors, our approach is twofold: First, we give an exhaustive cl...

متن کامل

Tangential Sphere Bounds on the Ensemble Performance of ML Decoded Low Density Parity Check Codes

Low density parity check (LDPC) codes were rediscovered by MacKay and Neal [4], after being first introduced in 1961 by Gallager in his seminal work [2, 3]. The experiments with LDPC codes, indicate that like turbo codes [1], they exhibit low bit error rates at low signal to noise ratios. The performance of LDPC codes was extensively investigated since and their exceptional performance with the...

متن کامل

Channel Coding using Low Density Parity Check Codes in AWGN

Forward error correction codes (FEC) are used for error detection and correction in communication systems. Low density parity check code (LDPC) is used as a powerful Forward Error Correction code in long distance communication systems which works close to the Shannon limit. Unlike other conventional channel code, the decoding algorithm used for LDPC codes is an iterative message passing algorit...

متن کامل

A Complexity Reduction Method for Extended Min-Sum based Nonbinary LDPC Decoder

Abstract—Nonbinary LDPC codes are a class of linear block codes having the performance closer to Shannon’s limit. Codes defined over higher order of Galois field, have increased computation complexity and thereby it put forth the challenges in efficient hardware realization of the decoder. In this paper, modifications in the Non-binary LDPC decoder to obtain reduced configuration sets, aimed to...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012