VRS动态随机模型建模方法的综合比较与分析  

Comprehensive Comparison and Analysis of VRS Dynamic Stochastic Modeling

作　　者：徐锐[1] 黄丁发[2] 陈维锋[1] 廖华[1] 范灵春[1] 

机构地区：[1]四川省地震局减灾救助研究所,四川成都610041 [2]西南交通大学地球科学与环境工程学院,四川成都610031

出　　处：《西南交通大学学报》2011年第3期440-444,共5页Journal of Southwest Jiaotong University

基　　金：国家863计划资助项目(2007AA12Z315)

摘　　要：为寻求一种最优的VRS(虚拟参考站)动态随机模型建模方法,阐述了实时动态数据处理系统中4种随机模型——标准随机模型、高度角相关模型、SNR(信噪比)模型和自适应模型的建模原理;从验后单位权方差、ADOP(模糊度精度因子)、模糊度有效性检验(F-ratio)和滤波残差等多个角度综合分析了各模型在VRS系统中的有效性及其优劣,并从统计学的角度和基于模型自身缺陷的分析,提出了模型改进的方案.结果表明,自适应模型的滤波残差和验后单位权方差分别在0和1附近波动,具有明显的白噪声特性,其在ADOP的计算能力上也有明显优势,但在F-ratio的计算能力上与其它模型相当.综合而言,自适应模型应作为VRS实时动态随机模型建模首选.In order to find an optimum stochastic modeling method for VRS（virtual reference station） systems,the principles of four stochastic models used in a real-time dynamic data processing system,including the standard stochastic model,the elevation-dependent model,the SNR（signal noise ratio） model and the self-adaptive model,were introduced,and their validity,advantages and disadvantages to a VRS system were analyzed from posterior variance,ADOP（ambiguity dilution of precision）,F-ratio and filter residual.In addition,solutions to improve these models were given in the sight of statistics and their disadvantages.The results indicate that the filter residual and posterior variance obtained by the self-adaptive model change slightly around 0 and 1 respectively,showing the property of white noise.Furthermore,the advantage of the self-adaptive model in ADOP calculation is obvious,compared with the other models,however,it has an ordinary performance in F-ratio calculation.Totally speaking,the self-adaptive model should be the first candidate of a VRS stochastic model.

关 键 词：VRS(虚拟参考站) 动态随机模型 方差 滤波 

分 类 号：P228.4[天文地球—大地测量学与测量工程]