Noise Adaptive LDPC Decoding Using Particle Filtering

Author

Wang, Shuang ; Cui, Lijuan ; Cheng, Samuel ; Zhai, Yan ; Yeary, Mark ; Wu, Qiang

Author_Institution

Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA

Volume

59

Issue

4

fYear

2011

fDate

4/1/2011 12:00:00 AM

Firstpage

913

Lastpage

916

Abstract

Belief propagation (BP) is a powerful algorithm to decode low-density parity check (LDPC) codes over additive white Gaussian noise (AWGN) channels. However, the traditional BP algorithm cannot adapt efficiently to the statistical change of SNR in an AWGN channel. This paper proposes an adaptive scheme that incorporates a particle filtering (PF) algorithm into the BP based LDPC decoding process. The proposed scheme is capable to perform online estimation of time-varying SNR at the bit-level and enhance the BP decoding performance simultaneously.

Keywords

AWGN channels; adaptive codes; channel coding; decoding; parity check codes; particle filtering (numerical methods); AWGN channels; BP based LDPC decoding process; additive white Gaussian noise channels; belief propagation; low-density parity check codes; noise adaptive LDPC decoding; particle filtering algorithm; time-varying SNR online estimation; Channel estimation; Decoding; Estimation; Parity check codes; Signal to noise ratio; Signal processing; adaptive decoding; channel coding; estimation;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2011.011811.090309

Filename

5699415