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改进射线描迹的低仰角散射斜延迟实时估计

吴文溢 钟方平 王万鹏 陈西宏 朱丹

吴文溢, 钟方平, 王万鹏, 陈西宏, 朱丹. 改进射线描迹的低仰角散射斜延迟实时估计[J]. 电子与信息学报, 2019, 41(10): 2366-2372. doi: 10.11999/JEIT190014
引用本文: 吴文溢, 钟方平, 王万鹏, 陈西宏, 朱丹. 改进射线描迹的低仰角散射斜延迟实时估计[J]. 电子与信息学报, 2019, 41(10): 2366-2372. doi: 10.11999/JEIT190014
Wenyi WU, Fangping ZHONG, Wanpeng WANG, Xihong CHEN, Dan ZHU. Real-time Estimation of Tropospheric Scattering Slant Delay of Low-elevation Obtained by Improved Ray Tracing[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2366-2372. doi: 10.11999/JEIT190014
Citation: Wenyi WU, Fangping ZHONG, Wanpeng WANG, Xihong CHEN, Dan ZHU. Real-time Estimation of Tropospheric Scattering Slant Delay of Low-elevation Obtained by Improved Ray Tracing[J]. Journal of Electronics & Information Technology, 2019, 41(10): 2366-2372. doi: 10.11999/JEIT190014

改进射线描迹的低仰角散射斜延迟实时估计

doi: 10.11999/JEIT190014
基金项目: 国家自然科学基金(611701525)
详细信息
    作者简介:

    吴文溢:男,1993年生,工程师,硕士,研究方向为高精度时间同步技术研究

    钟方平:男,1966年生,研究员,博士生导师,研究方向为工程力学

    王万鹏:男,1975年生,高级工程师,研究方向为爆炸力学

    陈西宏:男,1964年生,教授,博士生导师,研究方向为大容量散射通信技术

    朱丹:女,1982年生,工程师,研究方向为工程防护

    通讯作者:

    吴文溢 18092161443@qq.com

  • 中图分类号: TN011

Real-time Estimation of Tropospheric Scattering Slant Delay of Low-elevation Obtained by Improved Ray Tracing

Funds: The National Natural Science Foundation of China (611701525)
  • 摘要: 针对任意测站的对流层散射斜延迟估算时存在探空气象数据不易实时获取的不足,该文提出一种利用地面气象参数内插改进射线描迹计算公式的对流层散射斜延迟估计算法。该算法利用中纬度大气气象参数公式推导了折射指数随地心距变化的关系式,并采用气象参数内插方法获取温度变化率和水汽压变化率,克服了射线描迹法对探空数据的依赖。根据亚洲地区6个国际GPS服务(IGS)测站2012年的实测气象数据,验证了该文算法解算天顶延迟年平均偏差的绝对值在1 cm以内;选取基线距离适宜的3个测站分成3组散射通信比对站,利用射线描迹法计算了其在0°~5°入射角下全年的斜延迟,结果表明,3组比对站进行单向传输的最大斜延迟为17.03~33.10 m;进行双向时间比对相互抵消95%时,时间延迟为2.88~5.52 ns。
  • 图  1  射线描迹法示意图

    图  2  对流层散射通信原理简化图

    图  3  测站平均偏差分布直方图

    图  4  对流层散射斜延迟

    图  5  最大延迟时刻对流层散射斜延迟随入射角变化图

    图  6  0°入射角下一年对流层散射斜延迟变化图

    表  1  气象参数格网值

    $F{(^ \circ })$avgamp
    $\beta $$\lambda $$\beta $$\lambda $
    150.006302.770.0000.000
    300.006053.510.000250.33
    450.005582.570.000320.46
    600.005391.810.000810.74
    750.004531.550.000620.30
    下载: 导出CSV

    表  2  测站信息

    站名北纬($^\circ $)东经($^\circ $)海拔(m)
    TSKB36.11140.0967.30
    KSMV35.96140.6657.93
    KGNI35.71139.49123.50
    BJFS39.36115.5354.70
    WUHN30.31114.2127.00
    TWTF24.95121.16203.10
    下载: 导出CSV

    表  3  各模型统计结果(cm)

    测站UNB3m模型EGNOS模型本文算法
    平均偏差RMS平均偏差RMS平均偏差RMS
    TSKB–0.698.570.638.64–0.707.57
    KSMV–0.608.440.778.53–0.777.93
    KGNI–0.677.800.797.89–0.697.41
    BJFS–0.537.650.728.23–0.567.32
    WUHN–0.597.530.668.44–0.667.44
    TWTF–0.808.620.788.65–0.797.85
    下载: 导出CSV

    表  4  比对站情况表

    比对站A&BA&CB&C
    L(km)53.9670.06109.19
    ${\theta _0}$($^\circ $)$[0, 5)$$[0, 5)$$[0, 5)$
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-01-07
  • 修回日期:  2019-04-23
  • 网络出版日期:  2019-04-29
  • 刊出日期:  2019-10-01

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