首页> 外文会议>Saint Petersburg International Conference on Integrated Navigation Systems; 20050523-25; Saint Petersburg(RU) >THE COMPARISON OF NONLINEAR OPTIMIZATION METHODS FOR GLONASS/GPS MEASUREMENTS PROCESSING FOR HIGH EARTH ORBIT VEHICLES NAVIGATION
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THE COMPARISON OF NONLINEAR OPTIMIZATION METHODS FOR GLONASS/GPS MEASUREMENTS PROCESSING FOR HIGH EARTH ORBIT VEHICLES NAVIGATION

机译:高地轨道导航导航/ GPS测量非线性优化方法的比较

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The series of flight experiments on utilizing GPSS receivers on high earth orbits show that users can take code and phase measurements till the altitude of approximately 60,000 km. But the usage of satellite measurements for orbit determination is not a simple task. When out of so called full radio navigation field (i.e. altitude more then about 2,000...3,000 km) user hasn 't enough (four/five and more) visible space navigation vehicles and then can't solve traditional (point) time and position task. So, for high orbit determination asynchronous measurements should be processed. In such a case one of the ways is the least squares "fitting", i.e. the search of trajectory (orbit) parameters which minimize the summed square of residuals. On the basis of numerical experiments the comparison of several widely used methods — a quasi-Newton, Levenberg-Marquardt and the Nelder-Mead simplex — is performed.
机译:在高地球轨道上利用GPSS接收器进行的一系列飞行实验表明,用户可以进行代码和相位测量,直到大约60,000 km的高度。但是,使用卫星测量来确定轨道并不是一件容易的事。当超出所谓的完整无线电导航范围(即海拔高度超过约2,000 ... 3,000 km)时,用户的可见空间导航车不够(四/五和更多)无法解决传统的(点)时间和职位任务。因此,为了确定高轨道,应该处理异步测量。在这种情况下,方法之一是最小二乘“拟合”,即搜索轨迹(轨道)参数,以最小化残差的总平方。在数值实验的基础上,对几种广泛使用的方法(准牛顿法,Levenberg-Marquardt法和Nelder-Mead单形法)进行了比较。

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