DocumentCode
3385576
Title
Linear LLR approximation for LDPC decoding using a Gaussian approximation
Author
Xinyi Zhong ; Youyun Xu ; Kui Xu
Author_Institution
Coll. of Commun. Eng., PLAUST, Nanjing, China
fYear
2013
fDate
23-25 March 2013
Firstpage
1229
Lastpage
1231
Abstract
In fading channels, the computation of Loglikelihood ratio (LLR) without channel state information (CSI) is complicated. The maximum capacity linear approximation (MCLA) has been proposed to reduce the computational complexity of LLR. However, the computation of LLR´ probability density function (PDF) is still complicated due to numerical integrations. To overcome this shortage, we propose a simple Gaussian approximation to PDF of LLR. Using our proposed method, the computational complexity is significantly reduced and the BER performance is still very close to that of the MCLA in uncorrelated Rayleigh fading channels.
Keywords
Rayleigh channels; approximation theory; computational complexity; decoding; error statistics; parity check codes; probability; BER; Gaussian approximation; LDPC decoding; MCLA; PDF; bit error rate; channel state information; computational complexity; linear LLR approximation; log likelihood ratio; maximum capacity linear approximation; probability density function; uncorrelated Rayleigh fading channels; Bit error rate; Computational complexity; Fading; Gaussian approximation; Parity check codes; Probability density function; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location
Yangzhou
Print_ISBN
978-1-4673-5137-9
Type
conf
DOI
10.1109/ICIST.2013.6747759
Filename
6747759
Link To Document