Open AccessResearch on Symbol Synchronization Technology of LDPC Coding System
Author(s) -
Yejun He,
Xiuqiang Hao,
Zhemin Duan,
Anzhong Jin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/6/062059
Subject(s) - decoding methods , synchronization (alternating current) , low density parity check code , computer science , algorithm , signal to noise ratio (imaging) , coding (social sciences) , noise (video) , mathematics , telecommunications , statistics , channel (broadcasting) , artificial intelligence , image (mathematics)
In this paper, the influence of initial estimation of symbol synchronization error and signal-to-noise ratio on the performance of LDPC coding system is analyzed. Combined with the statistical characteristics of iterative decoding output soft information, a symbol synchronization joint signal-to-noise assisted by iterative decoding soft information is proposed. The ratio estimation algorithm combines symbol synchronization, signal-to-noise ratio estimation and iterative decoding through two closely related loops. Through the iterative calculation, signal-to-noise ratio and symbol in the case of extremely low signal-to-noise ratio The estimated value of the synchronization error can be quickly converged, and the decoding performance is close to the coding system with known signal-to-noise ratio and accurate symbol synchronization.