FPGA-Based Improved Decoding Algorithm of LDPC Codes

In this paper, a low-complexity LDPC decoder structure was proposed by optimizing the confidence propagation algorithm based on the deep space standard LDPC codes developed by the Consultative Committee for Space Data Systems (CCSDS). With the improved decoding algorithm, the structure made full use...

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Veröffentlicht in:Applied Mechanics and Materials Jg. 519-520; H. Computer and Information Technology; S. 995 - 999
Hauptverfasser: Bao, Jian Rong, Zhang, Qian Hua, Zhang, Jian Wu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Zurich Trans Tech Publications Ltd 01.02.2014
Schlagworte:
Algorithms
Computation
Decoders
Decoding
Deep space
Error correcting codes
Floating point arithmetic
Signal to noise ratio
LDPC
Consultative Committee for Space Data Systems
FPGA
Belief Propagation
Deep Space Communication
ISBN:3038350192, 9783038350194
ISSN:1660-9336, 1662-7482, 1662-7482
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Zusammenfassung:In this paper, a low-complexity LDPC decoder structure was proposed by optimizing the confidence propagation algorithm based on the deep space standard LDPC codes developed by the Consultative Committee for Space Data Systems (CCSDS). With the improved decoding algorithm, the structure made full use of the quasi-cyclic structure to reduce the variables in the decoder and the storage unit use for the index position of the check nodes, which saves the hardware resources greatly. Furthermore, the updating of the check nodes takes advantages of the information iterative structure of the JPL-LDPC decoder, which can reduce the computational complexity. By improving the searching methods, the computational complexity and the difficulty in FPGA implementation were reduced. The decoding performance of the decoder is close to that of the floating-point BP algorithm, which can be widely used in deep space communication with low signal-to-noise ratio.performance close to a floating-point the BP algorithm performance, can be widely used in deep space communications suitable for low signal-to-noise ratio transmission.
Bibliographie:Selected, peer reviewed papers from the International Forum on Computer and Information Technology (IFCIT 2013), December 24-25, 2013, Shenzhen, China
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ISBN:3038350192
9783038350194
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.519-520.995