The modified reliability-based iterative majority-logic decoding algorithm with non-uniform quantization

This paper investigates the performances of the modified reliability-based iterative majority-logic decoding (MRBI-MLGD) algorithm under different quantization schemes. An efficient non-uniform quantization method is presented for the MRBI-MLGD algorithm. With the non-uniform strategy, the real rece...

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Veröffentlicht in:2013 8th International Conference on Communications and Networking in China : (CHINACOM 2013) : Guilin, China, 14-16 2013 S. 882 - 885
Hauptverfasser: Haiqiang Chen, Lingshan Luo, Youming Sun, Tuanfa Qin, Yunyi Liu
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2013
Schlagworte:
Convergence
Decoding
Iterative decoding
Quantization (signal)
Reliability
Simulation
Sparse matrices
Sum product algorithm
Symbols
Vectors
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Zusammenfassung:This paper investigates the performances of the modified reliability-based iterative majority-logic decoding (MRBI-MLGD) algorithm under different quantization schemes. An efficient non-uniform quantization method is presented for the MRBI-MLGD algorithm. With the non-uniform strategy, the real received symbols will be quantized into integer values before passing to the decoder. The quantized reliability measures exhibit a non-uniform distribution with respect to their original received signals. Furthermore, the quantization resolution can be modified as required. Simulation results show that, when combined with factor correction techniques and a proper quantization parameter r, the MRBI-MLGD with nonuniform quantization performs well with very small quantized bits (3-4 bits) and has very fast decoding convergence speed.
DOI:10.1109/ChinaCom.2013.6694719