刘毅敏,朱振飞,胡俊,等. 基于国家电波观测站网信号的短波机动用户位置认知方法[J]. 电波科学学报,2021,36(5):685-691. DOI: 10.12265/j.cjors.2020169
      引用本文: 刘毅敏,朱振飞,胡俊,等. 基于国家电波观测站网信号的短波机动用户位置认知方法[J]. 电波科学学报,2021,36(5):685-691. DOI: 10.12265/j.cjors.2020169
      LIU Y M, ZHU Z F, HU J, et al. A position recognition algorithm for HF mobile user based on national radio observation network signal[J]. Chinese journal of radio science,2021,36(5):685-691. (in Chinese). DOI: 10.12265/j.cjors.2020169
      Citation: LIU Y M, ZHU Z F, HU J, et al. A position recognition algorithm for HF mobile user based on national radio observation network signal[J]. Chinese journal of radio science,2021,36(5):685-691. (in Chinese). DOI: 10.12265/j.cjors.2020169

      基于国家电波观测站网信号的短波机动用户位置认知方法

      A position recognition algorithm for HF mobile user based on national radio observation network signal

      • 摘要: 短波通信中频率选择是提高通信质量的必要手段,但短波机动用户却难以获取选频链路计算需要的位置信息. 文中设计了一种随时可利用多站信号进行机动终端位置认知的方法. 逆向应用时差定位原理,通过机动终端接收到的三个站点信号的两两信号时延差与虚路径差成正比,形成两条双曲线,交点就是机动用户的位置. 算法的关键是利用国家电波观测站网常态化发射的探测信号,同时设计了基于网格化预测时差与实测时差之间误差的位置概率函数,将定位问题转化为概率选择问题. 仿真分析和实测数据都验证了算法的可行性. 最后讨论了几种算法的改进策略,有望尽快实现工程应用.

         

        Abstract: Frequency selection is a necessary means to improve HF communication quality, but it is difficult for HF mobile users to obtain the location information needed for frequency selection link calculation. The algorithm of using multiple station signals to recognize the position of a mobile terminal at any time is designed. The algorithm reversely applies the time difference of arrival (TDOA) location theory. The signal delay difference of two sites is proportional to the difference of virtual path, three sites form two hyperbola curves, the curves intersect at the position of the mobile terminal. The key of the algorithm is to use the national radio observation network signal, and a position probability function based on the time difference error of the prediction vale and the measured data is designed. Simulation results and measured data shows the feasibility of the algorithm. Improvements of the algorithm strategy is discussed, it is expected to realize engineering application as soon as possible.

         

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