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基于时频融合的长码直接捕获优化算法研究

曾芳玲 欧阳晓凤 徐浩 吕大千

曾芳玲, 欧阳晓凤, 徐浩, 吕大千. 基于时频融合的长码直接捕获优化算法研究[J]. 电子与信息学报, 2019, 41(2): 309-316. doi: 10.11999/JEIT180119
引用本文: 曾芳玲, 欧阳晓凤, 徐浩, 吕大千. 基于时频融合的长码直接捕获优化算法研究[J]. 电子与信息学报, 2019, 41(2): 309-316. doi: 10.11999/JEIT180119
Fangling ZENG, Xiaofeng OUYANG, Hao XU, Daqian LÜ. Improved Long-code Direct Acquisition Algorithm Based on Time-frequency Fusion[J]. Journal of Electronics & Information Technology, 2019, 41(2): 309-316. doi: 10.11999/JEIT180119
Citation: Fangling ZENG, Xiaofeng OUYANG, Hao XU, Daqian LÜ. Improved Long-code Direct Acquisition Algorithm Based on Time-frequency Fusion[J]. Journal of Electronics & Information Technology, 2019, 41(2): 309-316. doi: 10.11999/JEIT180119

基于时频融合的长码直接捕获优化算法研究

doi: 10.11999/JEIT180119
基金项目: 安徽省自然科学基金(1408085MF129)
详细信息
    作者简介:

    曾芳玲:女,1970年生,教授,主要从事导航与时频方面的研究

    欧阳晓凤:女,1989年生,博士生,研究方向为卫星导航与导航对抗

    徐浩:男,1992年生,硕士生,研究方向为导航与定位和卫星信号捕获

    吕大千:男,1990年生,博士生,研究方向为导航与时间频率技术

    通讯作者:

    欧阳晓凤 xfouyang@sina.com

  • 中图分类号: TN967.1

Improved Long-code Direct Acquisition Algorithm Based on Time-frequency Fusion

Funds: The Anhui Provincial Natural Science Foundation (1408085MF129)
  • 摘要:

    长码因其码率高、周期长的特点,是现有导航系统广泛采用的军用信号体制。该文针对长码间接捕获方法的不足,以及扩展复制重叠捕获算法和均值捕获算法的局限性,提出一种以优化复杂度和搜索速度为目标的,基于扩展复制重叠捕获(XFAST)和均值算法相融合的时频捕获改进方法,给出了该算法的基本原理和捕获结果。对该算法的信噪比条件和复杂度进行了分析仿真,进一步论证了该算法应用于长码直接捕获的可行性和优良性。

  • 图  1  扩展复制原理

    图  2  扩展复制重叠捕获过程

    图  3  扩展复制重叠捕获结果仿真

    图  4  均值算法原理

    图  5  均值捕获过程

    图  6  均值捕获方法的仿真结果

    图  7  改进算法的基本原理

    图  8  优化算法的粗捕获处理过程

    图  9  优化算法的精捕获过程

    图  10  改进算法的捕获仿真结果

    图  11  改进算法的工作信噪比分析

    图  12  改进算法与扩展复制重叠算法和均值算法时间复杂度对比图

    表  1  各算法在同等参数下的捕获结果对比

    算法参数G1T1(s)Doppler误差(Hz)
    G2T2(s)
    XFASTM=4150.6533.02526
    55.56508.35
    均值法i=8151.018.88526
    107.25234.65
    改进算法M=4165.3327.10210
    i=853.65687.56
    下载: 导出CSV

    表  2  各算法在各自最优参数下的比较结果

    算法参数G1T1(s)Doppler误差(Hz)
    G2T2(s)
    XFASTM=6165.2445.40526
    45.68360.075
    均值法i=12152.148.18626
    92.651178.68
    改进算法M=4165.3327.10210
    i=853.65687.56
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-01-29
  • 修回日期:  2018-11-20
  • 网络出版日期:  2018-11-29
  • 刊出日期:  2019-02-01

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