Year: 2021
Type: conference-paper
Abstract: 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.
Institution: Middle Technical University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W3215050754