提出利用非组合精密单点定位获取跟踪站和卫星差分码偏差(differential code bias,DCB)的电离层观测量,并结合"IGGDCB(institute of geodesy and geophysics DCB)两步法"精确分离电离层斜延迟与DCB参数的新思路。为了研究跟...提出利用非组合精密单点定位获取跟踪站和卫星差分码偏差(differential code bias,DCB)的电离层观测量,并结合"IGGDCB(institute of geodesy and geophysics DCB)两步法"精确分离电离层斜延迟与DCB参数的新思路。为了研究跟踪站的分布对上述方法提取卫星DCB的影响,本文分别选取欧洲区域集中分布和全球均匀分布的不同数量IGS(international GNSS service)跟踪站,利用太阳活动高峰期间连续15d的实测数据进行卫星DCB的提取实验,并将结果与CODE(center for orbit determination in Europe)发布的DCB当月产品进行比较。实验结果表明,本文提出的方法可以精确提取卫星DCB,其精度优于载波相位平滑码方法,其中,采用欧洲区域的跟踪站提取差异的RMS优于0.2ns,而全球分布的跟踪站提取差异的RMS优于0.1ns,全球布站有利于同时提高RMS和单天解稳定性,并且随着跟踪站数量的增加,卫星DCB单天解的稳定性将会得到提高。展开更多
The ionosphere is one of the major error sources in Global Navigation Satellite System （GNSS） posi- tioning, navigation and timing. Estimating the ionospheric delays precisely is of great interest in the GNSS commun...The ionosphere is one of the major error sources in Global Navigation Satellite System （GNSS） posi- tioning, navigation and timing. Estimating the ionospheric delays precisely is of great interest in the GNSS community. To date, GNSS observables for ionospheric estimation are most commonly based on carrier phase smoothed code measurements. However, leveling errors, which affect the performance of ionospheric modeling and differential code bias （DCB） estimation, exist in the carrier phase smoothed code observations. Such leveling errors are caused by the multipath and the short-term variation of DCB. To reduce these leveling errors, this paper investigates and estimates the ionospheric delays based on carrier phase measurements without the leveling errors. The line-of-sight ionospheric observables with high precision are calculated using precise point positioning （PPP） techniques, in which carrier phase measurements are the principal observables. Ionosphere-free and UofC PPP models are applied and compared for their effectiveness to minimize the leveling errors. To assess the leveling errors, single difference of ionospheric observables for a short baseline is examined. Results show that carrier phase- derived ionospheric observables from PPP techniques can effectively reduce the leveling errors. Furthermore, we compared the PPP ionosphere estimation model with the conventional carrier phase smoothed code method to assess the bias consistency and investigate the biases in the ionospheric observables.展开更多
文摘文章研究不同频点的无电离层组合模型中时间群延迟(time group delay,TGD)和差分码偏差(differential code bias,DCB)对定位结果影响的差异,给出了北斗卫星导航系统(BeiDou Navigation Satellite System,BDS)双频/三频无电离层组合TGD和DCB改正模型,利用IGS测站数据进行标准单点定位(standard point positioning,SPP)和精密单点定位(precise point positioning,PPP)实验。实验结果表明:对于SPP,定位精度平面方向小于5 m,U方向小于10 m,定位精度提升显著且精度改正为m级,经模型改正的平面方向精度提升大于70%,U方向精度提升大于28%,其中DCB改正效果略优于TGD改正;对于PPP,经模型改正后的定位精度提升并不明显,但加快了滤波的收敛速度;对于PPP,在未经模型改正的情况下,接收机钟差和模糊度参数吸收了绝大部分的误差改正,而对流层延迟参数受到的影响较小。
文摘现有的差分码偏差(differential code bias,DCB)产品和常用的DCB估计方法均是将DCB视为1 d中的常量参数,忽略了DCB在1 d中的短时变化。为了分析北斗卫星导航系统(BeiDou Navigation Satellite System,BDS)卫星DCB短时变化特性,文章首先采用最小二乘和Tikhonov正则化方法同步估算各个历元时刻下的电离层参数和DCB参数,然后分析卫星DCB短时序列的精度和稳定性,并利用谱分析方法对短时DCB的周期性进行分析,建立模型来拟合短时DCB变化,最后通过实验探讨短时DCB序列改正对标准单点定位(standard point positioning,SPP)的影响。实验结果表明:在SPP中,施加DCB改正可以提高定位精度,施加中国科学院(Chinese Academy of Sciences,CAS)产品改正或短时DCB改正,定位精度提升都在40%以上;在不同测站上施加短时DCB改正和CAS产品改正,SPP定位精度各有优劣,两者差异在cm级,改正效果大致相当。
文摘提出利用非组合精密单点定位获取跟踪站和卫星差分码偏差(differential code bias,DCB)的电离层观测量,并结合"IGGDCB(institute of geodesy and geophysics DCB)两步法"精确分离电离层斜延迟与DCB参数的新思路。为了研究跟踪站的分布对上述方法提取卫星DCB的影响,本文分别选取欧洲区域集中分布和全球均匀分布的不同数量IGS(international GNSS service)跟踪站,利用太阳活动高峰期间连续15d的实测数据进行卫星DCB的提取实验,并将结果与CODE(center for orbit determination in Europe)发布的DCB当月产品进行比较。实验结果表明,本文提出的方法可以精确提取卫星DCB,其精度优于载波相位平滑码方法,其中,采用欧洲区域的跟踪站提取差异的RMS优于0.2ns,而全球分布的跟踪站提取差异的RMS优于0.1ns,全球布站有利于同时提高RMS和单天解稳定性,并且随着跟踪站数量的增加,卫星DCB单天解的稳定性将会得到提高。
文摘The ionosphere is one of the major error sources in Global Navigation Satellite System （GNSS） posi- tioning, navigation and timing. Estimating the ionospheric delays precisely is of great interest in the GNSS community. To date, GNSS observables for ionospheric estimation are most commonly based on carrier phase smoothed code measurements. However, leveling errors, which affect the performance of ionospheric modeling and differential code bias （DCB） estimation, exist in the carrier phase smoothed code observations. Such leveling errors are caused by the multipath and the short-term variation of DCB. To reduce these leveling errors, this paper investigates and estimates the ionospheric delays based on carrier phase measurements without the leveling errors. The line-of-sight ionospheric observables with high precision are calculated using precise point positioning （PPP） techniques, in which carrier phase measurements are the principal observables. Ionosphere-free and UofC PPP models are applied and compared for their effectiveness to minimize the leveling errors. To assess the leveling errors, single difference of ionospheric observables for a short baseline is examined. Results show that carrier phase- derived ionospheric observables from PPP techniques can effectively reduce the leveling errors. Furthermore, we compared the PPP ionosphere estimation model with the conventional carrier phase smoothed code method to assess the bias consistency and investigate the biases in the ionospheric observables.
