High efficient and low power LDPC encoder for VCM-based satellite data transmissions
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(1.Key Laboratory of Electronics and Information Technology for Space Systems (National Space Science Center, Chinese Academy of Sciences), Beijing 100190, China;2.University of Chinese Academy of Sciences, Beijing 100190, China)

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TN911.22

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    Abstract:

    With the increasing complexity of space exploration requirements and the development of high-resolution payloads, satellite-ground downlink data transmission systems have been requested for transmitting increasing volumes of data. In order to meet the requirements of high throughput, low power, and high reliability for variable coding modulation (VCM) transmission systems of low Earth orbit (LEO) satellites, a new fast accumulated parallel recursive low-density parity-check (LDPC) encoding algorithm based on the second generation digital video broadcast (DVB-S2) standard was proposed, and an efficient encoder with low power was designed. The encoder was lower power consumed by simplifying the intermediate variables of parity-check bits based on the randomness of input information bits and the characteristic of binary operation. By analyzing the similarities between different LDPC codes and reusing the computation units and memories, the utilization of hardware resources was improved. Benefitting from the dynamic encoder structure, the encoder was compatible with three VCM modes, and the correctness was guaranteed when VCM modes changed, which increased the flexibility of the encoder. Furthermore, the new parity-check bits storage schemes that match with the modulation mode could output M parallel bits in sequence and increase the encoder throughput with high efficiency. The proposed encoder design was implemented on the Xilinx XC7K325t-3fbg900 FPGA, and experimental results showed that the maximum encoding throughput was up to 1.104 Gb/s when operating at a system clock of 347.5 MHz, the total throughput was improved by 31.9% compared with the constant coding modulation (CCM) transmission system, and the power consumption of the encoder was reduced by 21.7%.

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History
  • Received:March 03,2020
  • Revised:
  • Adopted:
  • Online: January 29,2021
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