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基于SOVA的低复杂度FTN信号接收算法

张晨宇 刘荣科

张晨宇, 刘荣科. 基于SOVA的低复杂度FTN信号接收算法[J]. 北京航空航天大学学报, 2017, 43(5): 998-1003. doi: 10.13700/j.bh.1001-5965.2016.0351
引用本文: 张晨宇, 刘荣科. 基于SOVA的低复杂度FTN信号接收算法[J]. 北京航空航天大学学报, 2017, 43(5): 998-1003. doi: 10.13700/j.bh.1001-5965.2016.0351
ZHANG Chenyu, LIU Rongke. Low-complexity algorithm for FTN signal based on SOVA[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 998-1003. doi: 10.13700/j.bh.1001-5965.2016.0351(in Chinese)
Citation: ZHANG Chenyu, LIU Rongke. Low-complexity algorithm for FTN signal based on SOVA[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 998-1003. doi: 10.13700/j.bh.1001-5965.2016.0351(in Chinese)

基于SOVA的低复杂度FTN信号接收算法

doi: 10.13700/j.bh.1001-5965.2016.0351
基金项目: 

国家自然科学基金 91438116

上海航天科技创新基金 SAST2015089

详细信息
    作者简介:

    张晨宇,男,硕士研究生。主要研究方向:超奈奎斯特传输技术、空天信息网络

    刘荣科,男,博士,教授,博士生导师。主要研究方向:空天信息网络、多媒体通信与计算、专用集成电路设计

    通讯作者:

    刘荣科, E-mail: rongke_liu@buaa.edu.cn

  • 中图分类号: TN919.5

Low-complexity algorithm for FTN signal based on SOVA

Funds: 

National Natural Science Foundation of China 91438116

Shanghai Innovation Foundation of Aerospace Science and Technology SAST2015089

More Information
  • 摘要:

    超奈奎斯特(FTN)传输技术是一种高频谱效率的信号传输方式。针对FTN信号存在的码间串扰,基于软输出维特比算法(SOVA)提出FTN信号的低复杂度接收算法。根据幸存路径和竞争路径的判决结果,动态地调整每个时刻回溯过程的比较次数,降低比较次数平均值。在实际应用中,根据不影响误码性能的统计经验值直接截短回溯路径的长度。直接截短回溯深度算法可在不恶化误码率(BER)的前提下,降低比较运算次数2/3,同时减少回溯过程所需寄存器资源和延时50%以上。

     

  • 图 1  FTN信号在不同信噪比条件下modified-SOVA-1算法回溯比较次数分布

    Figure 1.  Backtracking comparison number distribution for FTNsignal under different SNRs by modified-SOVA-1 algorithm

    图 2  FTN信号在不同算法下的误码率

    Figure 2.  BERs for FTN signal by different algorithms

    图 3  FTN信号在不同回溯路径长度/比较次数下的误码率

    Figure 3.  BERs for FTN signal under different backtracking lengths/numbers of comparison

    表  1  SNR=3 dB时, 不同参数τ的FTN信号比较次数和回溯深度分布

    Table  1.   Backtracking comparison number and depth distribution for FTN signal with coefficient τ when SNR=3 dB

    K τ=9/10 τ=5/6
    δ δ′占比/% δ δ′占比/%
    5 8 89.43 8 81.57
    6 9 2.76 9 4.86
    7 10 2.66 10 4.48
    8 11 2.36 11 3.73
    9 12 2.03 12 2.73
    10 13 0.30 13 0.95
    11 14 0.20 14 0.65
    12 15 0.12 15 0.43
    13 16 0.08 16 0.25
    14 17 0.02 17 0.16
    15 18 0.01 18 0.09
    16 19 0.01 19 0.05
    17 20 0.01 20 0.03
    18 21 0.02
    19 22 0.01
    20 23 0.01
    下载: 导出CSV

    表  2  SOVA和modified-SOVA-2算法的回溯比较次数

    Table  2.   Backtracking comparison number in SOVA and modified-SOVA-2 algorithms

    算法 回溯比较次数
    SOVA LSδ
    modified-SOVA-2 LS
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-04-28
  • 录用日期:  2016-07-22
  • 网络出版日期:  2017-05-20

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