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基于混沌粒子群优化的北斗/GPS组合导航选星算法

王尔申 贾超颖 曲萍萍 黄煜峰 庞涛 别玉霞 姜毅

王尔申, 贾超颖, 曲萍萍, 等 . 基于混沌粒子群优化的北斗/GPS组合导航选星算法[J]. 北京航空航天大学学报, 2019, 45(2): 259-265. doi: 10.13700/j.bh.1001-5965.2018.0281
引用本文: 王尔申, 贾超颖, 曲萍萍, 等 . 基于混沌粒子群优化的北斗/GPS组合导航选星算法[J]. 北京航空航天大学学报, 2019, 45(2): 259-265. doi: 10.13700/j.bh.1001-5965.2018.0281
WANG Ershen, JIA Chaoying, QU Pingping, et al. BDS/GPS integrated navigation satellite selection algorithm based on chaos particle swarm optimization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 259-265. doi: 10.13700/j.bh.1001-5965.2018.0281(in Chinese)
Citation: WANG Ershen, JIA Chaoying, QU Pingping, et al. BDS/GPS integrated navigation satellite selection algorithm based on chaos particle swarm optimization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 259-265. doi: 10.13700/j.bh.1001-5965.2018.0281(in Chinese)

基于混沌粒子群优化的北斗/GPS组合导航选星算法

doi: 10.13700/j.bh.1001-5965.2018.0281
基金项目: 

国家自然科学基金 61571309

国家自然科学基金 61101161

中央高校基本科研业务费专项资金 3132016317

辽宁“百千万人才工程” 

辽宁省教育厅项目 L2014059

辽宁省教育厅项目 L201716

辽宁省教育厅项目 UPRP2018198

辽宁省高等学校优秀人才支持计划 LR2016069

详细信息
    作者简介:

    王尔申 男, 博士, 教授, 硕士生导师。主要研究方向:卫星导航定位技术、接收机信号处理算法、航空电子技术

    贾超颖 女, 硕士研究生。主要研究方向:卫星导航定位技术

    通讯作者:

    王尔申, E-mail: wanges_2016@126.com

  • 中图分类号: V241.6;TN967.1

BDS/GPS integrated navigation satellite selection algorithm based on chaos particle swarm optimization

Funds: 

National Natural Science Foundation of China 61571309

National Natural Science Foundation of China 61101161

the Fundamental Research Funds for the Central Universities 3132016317

Liaoning BaiQianWan Talents Program 

Scientific Study Project for Liaoning Province Ministry of Education L2014059

Scientific Study Project for Liaoning Province Ministry of Education L201716

Scientific Study Project for Liaoning Province Ministry of Education UPRP2018198

Program for Liaoning Excellent Talents in University LR2016069

More Information
  • 摘要:

    全球卫星导航系统(GNSS)接收机在接收信号的过程中会受到诸如建筑物遮挡、信号干扰等因素的影响,无法得到全部可见星。为减轻多星座组合接收机的处理负担,研究利用部分可见卫星进行定位的快速选星算法,提出了一种基于混沌粒子群优化(CPSO)的北斗/GPS组合导航选星算法。首先,对当前历元时刻可见卫星进行连续编码,按照选星数目分组,每个分组视为一个粒子。然后,通过混沌映射初始化粒子种群,选取几何精度因子(GDOP)作为评价粒子优劣的适应度函数;粒子通过粒子群优化算法的速度-位移模型更新自身位置,逐渐趋近空间卫星几何分布较好的卫星组合全局最优解。最后,采集北斗/GPS实际数据对选星算法进行仿真验证和性能比较,结果表明,所提算法在选星颗数多于5颗时,单次选星耗时为遍历法选星的37.5%,选星结果的几何精度因子计算误差在0~0.6之间。该算法可适用于北斗/GPS组合导航定位不同选星颗数的情况。

     

  • 图 1  CPSO选星算法流程

    Figure 1.  Flowchart of CPSO satellite selection algorithm

    图 2  北斗/GPS可见卫星数及对应的GDOP最小值

    Figure 2.  Number of BDS/GPS visible satellite and their minimum GDOP

    图 3  PSO选星时GDOP值随迭代次数的变化

    Figure 3.  Change of GDOP with iteration numbers of PSO satellite selection

    图 4  CPSO选星时GDOP值随迭代次数的变化

    Figure 4.  Change of GDOP with iteration numbers of CPSO satellite selection

    图 5  PSO和CPSO选星的结果误差

    Figure 5.  Result error of satellite selection by PSO and CPSO

    表  1  三种选星算法性能对比

    Table  1.   Performance comparison of three satellite selection algorithms

    选星算法 单次耗时/s GDOP 选星结果
    遍历法 4.074 824 2.251 038 92127373839
    PSO 1.665 020 2.347 418 92127373842
    CPSO 1.435 994 2.333 044 92127333837
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-05-17
  • 录用日期:  2018-06-29
  • 刊出日期:  2019-02-20

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