在遥测点可以用复杂的数据处理手段根据导航定位卫星的观测结果来精确地测定地面位置,这种数据处理建立在一个宏大的模拟观测系统上。但是采用这种处理手段却在很大程度上局限于轻便小型计算机处理器。这儿讨论的是一种新颖的17态卡尔曼滤波算法。这种算法可以在一个递归结构中保持卫星轨道的纯短弧表示法。这种适合微处理机执行的递归结构以一种高效的、近乎理想的算法体现了许多不同特点。此算法驻留于新的摩妥罗勒小测距定位系统卫星勘测接收器的只读存储器(ROM)中。它在每30秒多普 At the telemetry point, the location of the ground can be precisely measured using complex data processing methods based on the observations of the navigation and positioning satellites. The data processing is based on a large analog observation system. However, this approach is largely limited to lightweight small form factor computer processors. This article discusses a novel 17-state Kalman filter algorithm. This algorithm preserves the purely short arc representation of the satellite orbit in a recursive structure. This recursive architecture for microprocessor execution embodies many different features in an efficient, near-ideal algorithm. This algorithm resides in the read-only memory (ROM) of the new Moso-Rohde & Touran Positioning System satellite surveying receiver. It pops in every 30 seconds