Open AccessComparisons of Soft Decision Decoding Algorithms Based LDPC Wireless Communication System
Author(s) -
Yasmeen M. Hussein,
Ammar Hussein Mutlag,
Basman M. AlNedawe
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1105/1/012039
Subject(s) - low density parity check code , decoding methods , algorithm , computer science , additive white gaussian noise , bit error rate , noisy channel coding theorem , wireless , forward error correction , channel (broadcasting) , frequency domain , signal to noise ratio (imaging) , error floor , telecommunications , computer vision
The Low Density Parity Check (LDPC) forward error correction code provides significant results that have been very close to Shannon limit. This paper compares the Bit Error Rate (BER) performance of soft decision decoding algorithms of LDPC codes on AWGN channel. Devising soft decision decoding algorithms which are good in BER performance requires a comparison of probabilistic, log domain and Min-Sum methods. Simulations are conducted with different parameters using MATLAB workspace to evaluate the LDPC system performance. Results have shown that Min-Sum has outperformed the algorithms of Log Domain and Prob. Domain with a considerable amount of the Signal to Noise Ratio (SNR). Finally, the optimal LDPC parameter values have been selected based on the achieved results which provide superior results.