Will the real error floor please stand up?

Author

Zhang, Xiaojie ; Siegel, Paul H.

Author_Institution

Univ. of California, San Diego, La Jolla, CA, USA

fYear

2012

fDate

22-25 July 2012

Firstpage

1

Lastpage

5

Abstract

In this paper we continue our study of the influence of message saturation and quantization on the error-rate performance of iterative, message-passing decoders for low-density parity-check (LDPC) codes. We extend our previous analytical results for the min-sum algorithm (MSA) and its variants to the sum-product algorithm (SPA), demonstrating the significant impact of message saturation on the appearance and location of error floors. Simulation results for selected LDPC codes on the binary symmetric channel (BSC) and the additive white Gaussian noise channel (AWGNC) confirm that the benefits of a quasiuniform quantization scheme, already observed in the context of MSA decoding, apply also to SPA-based decoding.

Keywords

AWGN channels; binary codes; channel coding; iterative decoding; message passing; parity check codes; AWGNC; BSC code; LDPC code; MSA decoding; SPA-based decoding; additive white Gaussian noise channel; binary symmetric channel code; error-rate performance quantization; iterative decoder; low-density parity-check code; message saturation influence; message-passing decoder; min-sum algorithm; quasiuniform quantization scheme; sum-product algorithm; Charge carrier processes; Decoding; Error analysis; Iterative decoding; Quantization; Simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications (SPCOM), 2012 International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4673-2013-9

Type

conf

DOI

10.1109/SPCOM.2012.6290251

Filename

6290251