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zqh4659金蟲(chóng) (小有名氣)
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[求助]
中翻英,求大神!
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本文在介紹空間通信系統(tǒng)咨詢委員會(huì)(CCSDS)深空標(biāo)準(zhǔn)LDPC碼的基礎(chǔ)上,通過(guò)對(duì)置信傳播算法的優(yōu)化,提出了一種低復(fù)雜度的LDPC譯碼器結(jié)構(gòu)。該結(jié)構(gòu)通過(guò)改進(jìn)的譯碼算法,充分利用準(zhǔn)循環(huán)結(jié)構(gòu),降低了譯碼器中變量及校驗(yàn)節(jié)點(diǎn)索引位置所占存儲(chǔ)單元的使用量,大為減少了硬件資源。而且,譯碼器的校驗(yàn)節(jié)點(diǎn)更新采用JPL-LDPC 譯碼器的消息迭代結(jié)構(gòu),降低了計(jì)算復(fù)雜度。通過(guò)改進(jìn)查找方式,可降低計(jì)算復(fù)雜度和FPGA實(shí)現(xiàn)的難度。譯碼性能可接近浮點(diǎn)BP算法性能,能廣泛應(yīng)用于適合低信噪比傳輸?shù)纳羁胀ㄐ蓬I(lǐng)域。 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. 中翻英,求大神修改,謝謝了! |

榮譽(yù)版主 (知名作家)
快樂(lè)島、布吉島島主
| 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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