期刊文献+

基于VCP的卷积码译码算法研究

Study of Algorithm for Decoding Convolutional Codes Based on VCP
下载PDF
导出
摘要 目前,Viterbi译码算法主要是在DSP或FPGA中用软件算法来实现,算法复杂度高,译码效率低。针对此问题,介绍TI公司的TMS320C6416 DSP芯片上的维特比协处理(VCP)的结构与原理。对无线通信系统广泛采用的卷积码译码进行研究,用VCP单独进行译码,与DSP的数据交换可以采用增强型DMA(EDMA)来完成,从而用硬件方法实现并行处理,提高译码效率。仿真结果表明使用VCP译码可在降低运算量和占用资源的基础上取得良好系统性能。 At present,Viterbi decoding algorithm is mostly carried out by software of DSP or FPGA,which has high complexity and low efficiency of decoding. The architecture and principles of Viterbi coprocessor (VCP) in TMS320C6416 DSP of Texas Instrument is introduced in this paper. In the study of algorithm for decoding convolutional codes widely used in wireless communication system,VCP is adopted to decode separately. The data exchange between VCP and DSP can be achieved by enhanced DMA (EDMA) ,which can realize parallel processing by hardware with an improved decoding efficiency. The simulation results show that the decoding algorithm based on VCP achieves good performance of system while the computational complexity and resource occupation are reduced.
作者 何占林
出处 《无线电通信技术》 2013年第1期39-42,共4页 Radio Communications Technology
关键词 DSP VITERBI译码 VCP 卷积码 EDMA DSP Viterbi decoding VCP convolutional code EDMA
  • 相关文献

参考文献1

二级参考文献7

  • 1Henty Hendrix . Viterbi decodeing techniques in the TMS320- C54x Family[ EB/OL]. http://www, ti. com. cn/.
  • 2VITERBI A J. Spread spectrum communications EM dash Myths and realities [ J ]. IEEE Communications Magazine 1979, 17(3): 11-18.
  • 3OMURA J K, LEVITY B K. Coded error probability Evaluation for Antijam Communication Systems [ J ]. IEEE Transactions on Communications, 1982, 30(5): 896-903.
  • 4HELLER J A, JACOBS I M. Viterbi Decoding for Satellite and Space Communication [ J ]. IEEE Transactions on Communications Technology, 1971, 19 (5) : 835-848.
  • 5吕海寰,甘仲民,等.卫星通信系统[M].修订本.北京:人民邮电出版社,2001:371-394.
  • 6戴明桢 周建江.TMS320C54XDSP结构、原理及应用[M].北京:北京航空航天大学出版社,2002..
  • 7PROAKIS J G.数字通信[M].张力军,张宗橙,郑宝玉,等译.北京:电子工业出版社,2003:524-572.

共引文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部