DocumentCode :
118298
Title :
Decoding algorithm of LDPC codes for cascaded BSC-AWGN channels
Author :
Phakphisut, Watid ; Supnithi, Pornchai
Author_Institution :
Fac. of Eng., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
4
Abstract :
The written-in errors in bit patterned media (BPM) recording systems cause the erroneous bits during the writing process, leading to performance degradation. In previous works, the BPM read/write channel is modeled as a binary symmetric channel (BSC) with an additive white Gaussian noise (AWGN) channel or the cascaded BSC-AWGN channels. The initial channel information including the written-in errors probability has been proposed for low-density parity check (LDPC) decoder. However, the decoding algorithm remains the same as in the case of AWGN channels. In this work, we show that the crossover probability of BSC channels will affect the check node processing of LDPC codes. Therefore, we modify the check node computation that takes into account of the crossover probability of BSC channels. The simulation results show that the proposed LDPC decoder outperforms the ones with the conventional and modified likelihood function in terms of the bit error rate performance.
Keywords :
AWGN channels; error statistics; parity check codes; probability; LDPC codes; additive white Gaussian noise; binary symmetric channel; bit error rate; bit patterned media recording systems; cascaded BSC-AWGN channels; channel information; crossover probability; decoding algorithm; erroneous bits; low-density parity check decoder; modified likelihood function; written-in errors; Decision support systems; Decoding; Degradation; Error probability; Media; Parity check codes; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
Type :
conf
DOI :
10.1109/APSIPA.2014.7041722
Filename :
7041722
Link To Document :
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