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This article is based on the introductory space communications system Advisory Committee (CCSDS) deep space standard LDPC codes, proposed a low- complexity LDPC decoder structure through optimization of the belief propagation algorithm. Through use of decoding algorithm and the quasi-cyclic structure, reducing the index position of the variable and check nodes in the decoder's share of the amount of use of the storage unit, greatly reducing the hardware resources. Furthermore, the check nodes update using messages iterative structure of the JPL-LDPC decoder can reduces the computational complexity. Through improving search methods, reduce the computational complexity and the difficulty of FPGA implementation. Decoding performance of the decoder is close to a floating-point BP algorithm. It can be widely used in deep space communications suitable for low signal-to-noise ratio communication.

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zqh4659: ½ð±Ò+5, ·­ÒëEPI+1, ¡ï¡ï¡ï¡ï¡ï×î¼Ñ´ð°¸, ¶àлÁË£¡»¹ÊǰæÖ÷´óÈË¡£¡£¡£¹þ¹þ 2013-12-04 10:40:43
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.
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