于家傲,敬东,夏冬玉,等. 一种参考源修正的短波辐射源时差定位方法[J]. 电波科学学报,2024,39(3):1-10. DOI: 10.12265/j.cjors.2023175
      引用本文: 于家傲,敬东,夏冬玉,等. 一种参考源修正的短波辐射源时差定位方法[J]. 电波科学学报,2024,39(3):1-10. DOI: 10.12265/j.cjors.2023175
      YU J A, JING D, XIA D Y, et al. A short-wave target time difference of arrival localization method corrected by calibration emitters[J]. Chinese journal of radio science,2024,39(3):1-10. (in Chinese). DOI: 10.12265/j.cjors.2023175
      Citation: YU J A, JING D, XIA D Y, et al. A short-wave target time difference of arrival localization method corrected by calibration emitters[J]. Chinese journal of radio science,2024,39(3):1-10. (in Chinese). DOI: 10.12265/j.cjors.2023175

      一种参考源修正的短波辐射源时差定位方法

      A short-wave target time difference of arrival localization method corrected by calibration emitters

      • 摘要: 为解决短波辐射源到达时间差 (time difference of arrival, TDOA) 定位(简称时差定位)方法受电离层影响导致的定位精度下降的问题,提出了一种利用参考源修正的短波辐射源目标时差定位方法。针对地球表面短波辐射源,基于电离层球面反射模型的电离层反射虚高近似方法,建立了利用参考修正的短波目标时差定位模型。考虑参考源与目标共用电离层反射区域对电离层虚高的影响,将各电离层反射点的距离相关性引入电离层虚高的协方差矩阵中,实现了目标定位精度的修正。通过推导和仿真所提模型的克拉美·罗下界,分析了参考源修正目标定位精度的可行性。进一步给出基于Armijo直线搜索Newton法的最大似然估计方法,通过仿真数据验证了所提算法的有效性,实现了良好的定位效果。

         

        Abstract: A time difference of arrival(TDOA) localization method is proposed for short-wave target corrected by calibration emitters. Based on the ionospheric reflection virtual height of spherical reflection model, a TDOA localization model is established for short-wave source targets and calibration emitters on the Earth’s surface. Considering the influence of ionospheric reflection region shared by calibration emitters and target, the distance correlation of each ionospheric reflection point is introduced into the covariance matrix of ionospheric virtual height, and the target localization accuracy is corrected. The feasibility the target localization accuracy corrected by calibration emitters is analyzed by deriving and simulating the Cramer-Rao lower bound. Further, a maximum likelihood estimation method is proposed based on Armijo’s linear search Newton method. Effectiveness of the proposed method is verified by simulation data, and a good localization effect is achieved.

         

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