基于t检验的星基增强系统完好性数据核验

发布时间：2018-06-09 14:43

本文选题：星基增强系统(SBAS) + 用户差分伪距误差(UDRE)　；参考：《电讯技术》2017年10期

【摘要】：针对星基增强系统(SBAS)高完好性的服务需求,提出了一种SBAS广播参数用户差分伪距误差(UDRE)的完好性核验方法。利用监测站实测全球定位系统(GPS)和地球静止轨道(GEO)卫星信号,解析GPS电文和SBAS广播差分及完好性信息,对观测量修正误差得到实测UDRE,使用t检验成对二样本分析法验证给定置信区间内广播UDRE'与实测UDRE的符合性,从而完成伪距域完好性参数UDRE的核验。伪距域的核验避免了以往位置域核验计算量大、多卫星故障检测能力差的缺点,有更好的故障检测与隔离能力。采集日本多功能GPS卫星星基增强系统(MSAS)数据并对提出的t检验方法进行验证,结果表明,所建立的统计检测量能有效地反应被监测卫星广播UDRE参数的完好性,通过确定卫星99.9%置信度下的判决门限,对广播UDRE与实测UDRE判别,验证伪距误差的可信度。该结果验证了所提方法应用于UDRE核验的可行性,为SBAS完好性验证提供了技术支撑。
[Abstract]:In order to meet the high service requirement of SBASs, this paper presents a perfect verification method for SBAS broadcast parameter user differential pseudorange error (UDREE). GPS messages and SBAS broadcast differential and integrity information are analyzed using GPS and GEO satellite signals measured by monitoring stations. The measured UDREs are obtained by modifying the errors of the observational data. The coincidence of broadcast UDRE' in a given confidence interval with the measured UDRE is verified by using the method of t-test as a pair of two samples, thus the verification of the pseudo-range domain integrity parameter UDRE is completed. The verification in pseudo-range domain avoids the shortcomings of large amount of calculation and poor fault detection ability of multi-satellite in position domain, and has better fault detection and isolation capability. Japanese multifunctional GPS satellite enhancement system (MSAS) data are collected and the proposed t test method is verified. The results show that the established statistical detection method can effectively reflect the integrity of UDRE parameters monitored by satellite broadcast. By determining the decision threshold of the satellite at 99.9% confidence, the reliability of the pseudo-range error is verified by discriminating the broadcast UDRE from the measured UDRE. The results verify the feasibility of the proposed method in UDRE verification and provide technical support for SBAS integrity verification.
【作者单位】：中国科学院光电研究院;中国科学院大学;
【分类号】：TN967.1

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