Efficient encoding architecture for LDPC code based on DVB-S2 standard

被引:0
|
作者
Lan Y. [1 ,2 ]
Yang H. [1 ]
Lin Y. [1 ]
机构
[1] System of Programmable Chip Research Department, Institute of Electronics, Chinese Academy of Sciences, Beijing
[2] University of Chinese Academy of Sciences, Beijing
来源
Yang, Haigang (yanghg@mail.ie.ac.cn) | 1781年 / Science Press卷 / 38期
基金
中国国家自然科学基金;
关键词
DVB-S2; standard; Encoding architecture; FPGA; LDPC code;
D O I
10.11999/JEIT151198
中图分类号
学科分类号
摘要
For DVB-S2 standard LDPC code, to achieve an efficient encoding architecture based on FPGA, a fast pipeline parallel and recursive encoding algorithm is proposed which can significantly improve encoding speed and improve the encoding data rate of information throughput. At the same time, the parallel shift operation and parallel XOR processing structure is introduced to calculate code intermediate variable. It can effectively improve the encoding parallel degree and reduce the occupancy volume of storage resources. In addition, according to dynamic adaptive encoding, the storage structure and effective reuse of data storage unit and the RAM address generator are optimized. In this case, the utilization of FPGA resources is further improved. The experiment based on Stratix IV series FPGA for DVB-S2 standard LDPC code, shows that the proposed method can achieve system clock frequency of 126.17 MHz and encoding data rate of information throughput of more than 20 Gbps. © 2016, Science Press. All right reserved.
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页码:1781 / 1787
页数:6
相关论文
共 16 条
  • [1] ETSI EN 302 307 V1. 2. 1. Digital video broadcasting (DVB)
  • [2] second generation framing structure, channel coding and modulation systems for broadcasting, interactive services, news gathering and other broadband satellite appiications (DVB-S2), (2009)
  • [3] Gallager R.G., Low density parity check codes, IRE Transactions on Information Theory, 8, 1, pp. 21-28, (1962)
  • [4] Mackay D.J.C., Neal R.M., Near Shannon limit performance of low-density parity check codes, Electronics Letters, 32, 18, pp. 1645-1646, (1996)
  • [5] Lee Y., Jaehwan J., In-Cheol P., Energy-scalable 4KB LDPC decoding architecture for NAND-Flash-Based storage systems, IEICE Transactions on Electronics, 99, 2, pp. 293-301, (2016)
  • [6] Wang J., Che S., Li Y., Et al., Optimal design of joint network LDPC codes over orthogonal multiple-access relay channels, International Journal of Grid and Utility Computing, 7, 1, pp. 68-74, (2016)
  • [7] Guo R., Liu C., Zhang H., Et al., Full diversity LDPC codes design and energy efficiency analysis for clustering wireless sensor networks, Journal of Electronics Information Technology, 37, 7, pp. 1580-1585, (2015)
  • [8] Zhao W.H., Long J.P., Implementing the NASA deep space LDPC codes for defense applications, 2013 IEEE, Military Communications Conference, pp. 803-808, (2013)
  • [9] Zhang X., Zhao Y., Innovative analysis of DVB-S2 technology, Cable TV Technology, 2, pp. 17-20, (2014)
  • [10] Chen H., Wang X., Study on design of LDPC encoder and decoder for DVB-S2, Video Engineering, 36, 3, pp. 1-3, (2012)