基于未确知有理数的VRS综合误差粗差探测与修复  

Gross Error Detection and Reparation for VRS Synthetical Error Based on Unascertained Rational

作　　者：张锋[1] 郝金明[1] 郭磊 丁硕[1] 

机构地区：[1]信息工程大学测绘学院 [2]61363部队

出　　处：《测绘科学技术学报》2009年第6期403-406,共4页Journal of Geomatics Science and Technology

摘　　要：虚拟参考站VRS(Virtual Reference Station)技术是GPS网络RTK中一种比较成熟的、可实时提供厘米级精度导航定位信息的技术。它主要利用网络内所有基准站原始观测数据,在流动站附近实时模拟一组参考站数据(包括参考站坐标和GPS载波相位观测值)。其基准站综合误差粗差对定位结果有直接的影响。这里从粗差的偶然性和孤立性出发,提出了基于未确知有理数的粗差探测与修复方法。阐述了该方法的滤波原理及参数取值原则,解决了传统粗差判别中定位不明确和遮蔽的问题。通过求未确知期望值实现粗差修正,不会造成有效信息的丢失。实验数据的处理结果表明,基于未确知有理数滤波法能够有效地实现粗差修正与数据平滑处理。The Virtual Reference Station （VRS） technique is one of the well applied concept for GPS network RTK, which can achieve centimeter-level accurate differential GPS positioning in real time. It utilizes raw data of all the base stations to create a VRS i. e. a reference station near by the rover receiver （including both the accurate position and the GPS carrier phase observations）. The gross error of base stations synthetical error affects positioning result directly. Following the accidental and the solitude of gross error, a method of gross error detection and reparation was proposed based on unascertained rational, including its filtering principle and how to set parameters. It resolved the unascertained problem in traditional gross error detection method. Through correcting gross error by unascertained expectation, it maintained all the information of data. The result of experimental data showed that the filtering method of unascertained rational could correct gross error and achieve data smoothing effectively .

关 键 词：虚拟参考站 综合误差 粗差 未确知有理数 未确知期望 

分 类 号：P228[天文地球—大地测量学与测量工程]