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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Dual-Satellite Geolocation With Ephemeris Correction and Uncertainty Mapping
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Dual-Satellite Geolocation With Ephemeris Correction and Uncertainty Mapping

机译：双卫星地理定位与星历矫正和不确定性映射

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摘要

In this paper, we demonstrate that the uncertainty of the dual-satellite ephemeris must be included in order for the geolocation covariance to be accurate. Without the inclusion of this additional error source, the covariance is no longer consistent with the true uncertainty and can convey misleading results. The larger the uncertainty associated with the dual-satellite ephemeris the larger the geolocation covariance becomes. Therefore, we first demonstrate a technique for improving the dual-satellite ephemeris knowledge by using calibrator transmitters for orbit determination. Second, we derive a consider batch filter, which computes the best estimate of position of the unknown radio frequency source while taking into account the dual-satellite ephemeris uncertainty. An algorithm is also proposed for adding a probabilistic altitude constraint, which significantly reduces the solution error. Finally, we briefly touch upon a technique that allows for the dual-satellite ephemeris and source position to be estimated simultaneously thereby maintaining the correlations and optimality. All algorithms introduced have since been applied to real-world data and conveys actual capabilities rather than a theoretical approach alone.
机译：在本文中，我们证明必须包括双卫星星历的不确定性，以便使地理定位协方差准确。在没有包含这种额外的错误源的情况下，协方差不再与真正的不确定性一致，可以传达误导性结果。与双卫星星历相关的不确定性越大，地理位置协方差变得越大。因此，我们首先通过使用校准器发射器来展示用于改善双卫星星历知识的技术进行轨道轨道。其次，我们得出了考虑批量过滤器，这在考虑到双卫星星历不确定性的同时计算未知射频源的位置的最佳估计。还提出了一种用于添加概率高度约束的算法，这显着降低了解决方案误差。最后，我们简要触及允许同时估计双卫星星历和源位置的技术，从而保持相关性和最优性。由于应用于现实世界的数据并传达实际的能力而不是单独的理论方法，所有算法都已应用。

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