Quantization Effects in Low-Density Parity-Check Decoders
Zhengya Zhang
Dolecek, L.
Wainwright, M.
Anantharam, V.
Nikolic, B.
Univ. of California, Berkeley;
This paper appears in: Communications, 2007. ICC '07. IEEE International Conference on
Publication Date: 24-28 June 2007
On page(s): 6231-6237
Location: Glasgow,
ISBN: 1-4244-0353-7
INSPEC Accession Number: 9875719
Digital Object Identifier: 10.1109/ICC.2007.1032
Current Version Published: 2007-08-13
Abstract
A. class of combinatorial structures, called absorbing sets, strongly influences the performance of low-density parity- check (LDPC) decoders. In particular, the quantization scheme strongly affects which absorbing sets dominate in the error-floor region. Absorbing sets may be characterized as weak or strong. They are a characteristic of the parity check matrix of a code. Conventional quantization schemes applied to a (2209,1978) array-based LDPC code can induce low-weight weak absorbing sets and, as a result, elevate the error floor. Adaptive quantization schemes alleviate the effects of weak absorbing sets, and, as a result, only the strong ones dominate the error floor of an optimized decoder implementation. Another benefit of an adaptive quantization scheme is that it performs well even in very few iterations.
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