DocumentCode :
2674960
Title :
Regular low-density parity-check (LDPC) code with normalized and UMP BP-based algorithms on fast Rayleigh fading channel
Author :
Ohhashi, Akinori ; Ohtsuki, Tomoaki
Author_Institution :
Graduate Sch. of Sci. & Technol., Sci. Univ. of Tokyo, Noda, Japan
Volume :
4
fYear :
2004
fDate :
26-29 Sept. 2004
Firstpage :
2520
Abstract :
For the short regular LDPC codes, we derive the formula of the normalization factor (NF) theoretically by using the probability density function (pdf) of the initial likelihood information for the normalized BP-based algorithm. For the long regular LDPC codes, we derive the optimal NF for the normalized BP-based algorithm by using density evolution (DE). We also analyze the performance of the long regular LDPC codes with the UMP BP-based algorithm by using DE. From the numerical and simulation results, we show that the optimum NF for the short regular LDPC codes is different from that on the AWGN channel. We also show that for the short regular LDPC codes, the normalized BP-based algorithm outperforms the UMP BP-based algorithm, and has the performance very close to those of the BP algorithm. Furthermore, for the long regular LDPC codes, we show that the normalized BP-based algorithm outperforms the BP algorithm and the UMP BP-based algorithm. Therefore, for the short and long regular codes, the normalized BP-based algorithm is shown to be suitable as the decoding algorithm on the fast Rayleigh fading channel.
Keywords :
AWGN channels; Rayleigh channels; parity check codes; probability; AWGN channel; UMP BP-based algorithms; density evolution; fast Rayleigh fading channel; initial likelihood information pdf; long LDPC codes; low-density parity-check codes; normalization factor; normalized BP-based algorithms; probability density function; regular LDPC codes; short LDPC codes; uniformly most powerful BP-based algorithm; AWGN channels; Algorithm design and analysis; Analytical models; Decoding; Fading; Noise measurement; Numerical simulation; Parity check codes; Performance analysis; Probability density function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN :
1090-3038
Print_ISBN :
0-7803-8521-7
Type :
conf
DOI :
10.1109/VETECF.2004.1400508
Filename :
1400508
Link To Document :
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