NDLI: The effect of noise estimation error in the LDPC decoding performance

Content Provider	IEEE Xplore Digital Library
Author	In-Ki Lee Sang-Jin Park Ji-Won Jung Eun-A Choi Nae-Soo Kirn Duk-Gil Oh
Copyright Year	2004
Description	Author affiliation: Korea Maritime Univ., Pusan (In-Ki Lee; Sang-Jin Park; Ji-Won Jung)
Abstract	The number of quantization bits of the input signals $r_{n}$ needs to be optimally determined through the trade-off between the H/W complexity and the BER performance in LDPC codes applications. Also, an effective means to incorporate a channel reliability $L_{c}$ in the log-MAP based LDPC decoding is highly required, because it has a major effect on both the complexity and performance. In this paper so as to effectively incorporate $L_{c}$ in LDPC decoding. The optimal number of quantization bits of $r_{n}$ is investigated through Monte-Carlo simulations assuming that bit-shifting approach is adopted. In addition, the effects of an incorrect estimation of noise variance on the performance of LDPC codes are investigated. There is a confined range in which the effects of an in correct estimation can be ignored
Starting Page	471
Ending Page	475
File Size	359101
Page Count	5
File Format	PDF
ISBN	0780385497
DOI	10.1109/ICCS.2004.1359421
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-07
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation error Parity check codes Decoding Quantization Turbo codes Equations Bit error rate Sparse matrices Bipartite graph Protection
Content Type	Text
Resource Type	Article

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