卫星时间窗口计算的动态步长快速算法

针对卫星轨道连续跟踪采样的时间窗口传统计算方法计算量大、效率低的问题,提出了一种新的快速算法。为减少参与计算的采样点数量,算法通过预测参与计算对象之间距离动态调整采样步长;为使算法适于解决各类时间窗口计算问题,提出广义可视概念进行时间窗口判定。分别研究了卫星与地面点目标可见时间窗口、星间可见时间窗口、卫星对地面目标覆盖时间窗口、地面大范围区域卫星过境时间窗口的广义可视判断方法和预测距离计算模型。实验结果表明,算法与传统算法精度完全一致,效率提升约99.7%。

Fast Algorithm for Calculation of the Satellite Time Windows Based on Dynamic Step

The traditional calculation method for the continuous tracking and sampling of satellite orbits is suitable for various time window calculations and orbit calculation models. It has strong versatility and a large amount of calculation and low efficiency.A new fast algorithm is proposed for this purpose. In order to reduce the number of sampling points involved in the calculation,the algorithm dynamically adjusted the sampling step size by predicting the distance between participating computing objects. To make the algorithm suitable for solving various time window calculation problems,a generalized visibility concept is proposed for time window determination. The judgment method of generalized visibility and computation model of predicted distance for various types of time window are studied,which includes visible time window of satellite and ground point target,the visible time window between satellites,the coverage time window of satellite to ground target,satellite transit time window of wide-area ground area. The experimental results show that the accuracy of the algorithm is the same as that of the traditional algorithm,and the efficiency has improved by about 99.7%.