BDS空间信号异常实时检测与排除方法  

Real-time detection and elimination method for BDS signal-in-space anomalies

作　　者：程春 赵玉新[1] 李亮[1] 赵琳[1] Chun CHENG;Yuxin ZHAO;Liang LI;Lin ZHAO(College of Automation,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学自动化学院,哈尔滨150001

出　　处：《中国科学：信息科学》2020年第4期603-616,共14页Scientia Sinica(Informationis)

基　　金：国家自然科学基金(批准号:41676088,61773132,61633008,61803115);工信部第七代超深水钻井平台创新项目,黑龙江省杰出青年研究科学基金(批准号:JC2018019);中央高校基础研究基金(批准号:HEUCFP201768)资助。

摘　　要：北斗卫星导航系统(BeiDou navigation satellite system, BDS)空间信号异常是影响其空间信号质量评估的重要因素,检测并排除空间信号异常不仅是构建BDS空间信号故障模型的重要手段,更有利于保障BDS导航定位的完好性.传统基于事后精密星历与广播星历比对的方法存在时延较大、采样率低等问题,本文提出了一种基于Kalman滤波的载波相位平滑伪距算法,并基于BDS空间信号用户测距误差的统计特性建立了实时估计BDS空间信号用户测距误差方法,从而实时检测并排除BDS空间信号异常.基于国际全球导航卫星系统服务(international GNSS service, IGS)地面观测网1 Hz采样率数据的实验结果表明,所提出方法对BDS空间信号用户测距误差的估计精度为1.15 m,可以有效识别由卫星轨道和时钟故障引起的空间信号异常.The Bei Dou navigation satellite system(BDS) signal-in-space anomaly is an important factor affecting the signal-in-space quality assessment. Detecting and excluding signal-in-space anomalies is not only a method for constructing a BDS signal-in-space fault model but can also help ensure the BDS navigation and positioning integrity. Traditional methods, based on post precision ephemeris and broadcast ephemeris, maintain some disadvantages, such as a large delay and a low sampling rate. In this paper, a carrier-phase smoothing pseudorange algorithm based on Kalman filtering is proposed, and a real-time estimation method of a BDS signal-in-space user range error is established to detect and eliminate signal-in-space anomalies in real time, based on the statistical characteristics of signal-in-space user range error. The experimental results, based on 1 Hz data of the international GNSS service(IGS) ground observation network, show that the proposed method has an estimation accuracy of1.15 m for a BDS signal-in-space user range error, which can effectively identify signal-in-space anomalies caused by satellite orbit and clock faults.

关 键 词：北斗卫星导航系统(BDS) 空间信号误差 异常检测 完好性 

分 类 号：TN967.1[电子电信—信号与信息处理]