Presentation 2002/8/23
Low-Density Parity-Check (LDPC) Decoding of Quantized Data
Akinori OHASHI, Tomoaki OHTSUKI,
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Abstract(in English) Some works on low-density parity-check (LDPC) decoding assume that a LDPC decoder has access to infinitely soft (unquatized) channel data. In practical systems, however, a quantizer is used at the receiver and the LDPC decoder must operate on finite precision, quantized data. The belief propagation (BP) Algorithm that provides a powerful tool for iterative decoding of LDPC coding was designed for infinite soft data. However, the BP alogrithm is not necessary optimum when operating on quantized data. In this report, we propose a decoding algorithm for quantized data. The proposed algorithm is derived with modifying the equation of initial likelihood in the well-known BP algorithm. Moreover, the proposed algorithm has a lower decoding complexity than the BP algorithm. At a receiver, we use a uniform quantizer and the Lloyd Max quantizer that is optimum quantizer. Simulation results on an additive white Gauss noise (AWGN) channel show that, with two bits of quantization, the proposed algorithm outperforms the BP algorithm, and with three bits or more, the proposed algorithm achieves the same performance as the BP algorithm.
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Keyword(in English) LDPC / Beleif Propagation / quantized data / quantizer / Lloyd Max
Paper # RCS2002-154
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Conference Information
Committee RCS
Conference Date 2002/8/23(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Low-Density Parity-Check (LDPC) Decoding of Quantized Data
Sub Title (in English)
Keyword(1) LDPC
Keyword(2) Beleif Propagation
Keyword(3) quantized data
Keyword(4) quantizer
Keyword(5) Lloyd Max
1st Author's Name Akinori OHASHI
1st Author's Affiliation Graduate School of Science and Technology, Tokyo University of Science()
2nd Author's Name Tomoaki OHTSUKI
2nd Author's Affiliation Faculty of Science and Tehnology, Tokyo University of Science
Date 2002/8/23
Paper # RCS2002-154
Volume (vol) vol.102
Number (no) 282
Page pp.pp.-
#Pages 6
Date of Issue