共查询到19条相似文献，搜索用时 125 毫秒
1.
基于球谐函数模型的GPS差分码延迟估计 总被引：1，自引：0，他引：1
电离层延迟是GNSS观测值中最大的误差源,因此如何利用GNSS观测值确定高精度电离层模型逐渐成为实时导航、定位及大气相关研究的重要内容。在通常采用组合观测值建立模型的方法中,精确估计电离层总电子含量（TEC）的重要误差之一是差分码硬件延迟（DCBs）。为了实时得到P1、P2、C2相互间硬件差分码延迟偏差,本文采用IGS跟踪站的观测数据并利用载波平滑后的差分伪距建立观测方程,对卫星和接收机硬件差分码延迟偏差进行实时解算。经比较模型解算DCB值与IGS最大差异不超过0.8 ns,C1、P1码延迟偏差72%差异值小于0.3 ns,P1、P2的74%差异值小于0.3 ns。 相似文献
2.
基于多项式函数模型和B样条函数模型,利用二次B样条修正VTEC多项式模型,即将电离层延迟划分为概略初值和修正值两部分进行求解,采用L曲线法求解岭参数对二次B样条修正模型进行岭估计解算,与VTEC多项式模型解算结果进行比较分析,较好地解决了拟合曲面的光滑度和逼近精确度之间的矛盾,提高了电离层延迟解算的精度和可靠性。 相似文献
3.
4.
5.
6.
本文根据区域电离层延迟模型的原理与方法，利用载波相位、伪距两种GPS观测值建立了区域VTEC电离层模型，并利用地壳网络观测数据对模型的精度进行了检核。 相似文献
7.
《测绘科学》2020,(1):48-53
针对电离层延迟改正对单频接收机用户带来误差较大的问题,该文基于球谐函数借助山东区域CORS双频观测数据建立山东区域电离层模型,并对硬件延迟偏差(DCB)和电子含量进行可靠性、稳定性分析,进一步使用单频精密单点定位(PPP)验证山东区域电离层模型的有效性。实验结果表明:测站DCB解算精度稳定在0.4ns内,解算卫星DCB与欧洲定轨中心(CODE)的偏差总体稳定在0.5ns内,区域电离层模型与CODE解算VTEC差值的均方根为1.22TECU,STD为0.93TECU,对山东区域单频PPP而言,山东区域电离层模型比CODE发布全球电离层模型在N、E、U方向精度明显提高。同时,建立的山东区域电离层模型从时间分辨率、空间分辨率上均优于CODE中心发布全球电离层模型。 相似文献
8.
地基GPS区域电离层多项式模型与硬件延迟统一解算分析 总被引：3，自引：0，他引：3
探讨了利用区域地基GPS双频精码数据建立单层电离层多项式模型中,多项式系数、组合硬件延迟统一平差的数据处理方法.数据分析表明,GPS卫星短弧段的天空视图对电离层多项式建模的影响较大,由此估计的组合硬件延迟解不稳定,电离层模型也存在系统误差,边际效应明显;分段常数的全天电离层延迟多项式建模的数据处理方法可以有效地削弱短时弧段建模的影响,获取一致性、稳定性更好的组合硬件延迟. 相似文献
9.
10.
11.
差分码偏差(DCB)作为电离层建模和导航定位中一项重要的误差源,对其进行估计求解至关重要. 为提高北斗卫星导航系统(BDS) DCB估计和电离层建模精度,提出了一种综合高度角、卫地距和测站纬度多因素的随机模型,并对比分析了不同随机模型对BDS DCB估计和电离层垂直总电子含量(VTEC)建模精度的影响. 结果表明:不同随机模型对卫星端DCB解算产生约0.2 ns差异. 相较于高度角随机模型,采用高度角、卫地距组合模型测站DCB估计精度平均提高0.13 ns,电离层建模精度提高了约0.2 TECU. 新提出的随机模型,在低纬度测站DCB解算精度上差于高度角模型和高度角、卫地距组合模型,但在高纬度测站DCB解算结果上更优,且对电离层VTEC建模精度提升效果明显,与前两种随机模型相比分别提升了0.88 TECU和0.68 TECU. 相似文献
12.
13.
提出了一种精确估计区域北斗接收机硬件延迟(DCB)的方法。该方法不需要传统复杂的电离层模型,在已知一个参考站接收机硬件延迟的条件下,利用正常情况下电离层延迟量和卫星-接收机几何距离强相关这一特点,采用站间单差法来精确估计区域内BDS接收机的硬件延迟。试验结果表明,该方法单站估计的单站北斗接收机连续30d的硬件延迟RMS在0.3ns左右。通过GEO卫星双频观测值扣除已知卫星DCB和本文方法估计的接收机DCB,计算对应穿刺点一天的VTEC并和GIM格网内插结果并进行比对分析,二者大小和变化趋势均符合较好,进一步验证了本文提出的方法具有可靠性。 相似文献
14.
探讨了OpenMP多线程技术在全球电离层建模中的应用。在日固地磁参考系下采用15阶次的球谐展开建立全球电离层模型,并对1天解、3天解两种方案的结果与IGS电离层产品进行了对比,电离层图偏差的均方根约3~5 TECU,且3天解的方案首尾两组电离层图与IGS产品符合得更好;卫星差分码偏差和接收机差分码偏差与IGS的差异分别约为0.2 ns和2 ns,仅有少数几个接收机差分码偏差在少数几天与IGS差异较大,超过3~4 ns。实验中使用Dell服务器R730（配置:128 GB内存、2个CPU、8个核心和32个线程数）,采用OpenMP多线程并行计算能够明显提高全球电离层模型的建模效率,单天解算仅需约7 min,3天解算需约22 min,效率提升近8倍。使用3 d观测数据并采用OpenMP多线程并行计算来建立全球电离层模型可有效节省建模时间,同时还能提高首尾两组模型系数的精度以进一步提升全球电离层模型的精度,对建模算法的测试、电离层产品的快速发布以及模型后续检验和预测等带来了便利,也为后续实现利用多卫星导航系统观测数据快速建立全球电离层模型提供了参考。 相似文献
15.
M_DCB: Matlab code for estimating GNSS satellite and receiver differential code biases 总被引：6，自引：4，他引：2
Global navigation satellite systems (GNSS) have been widely used to monitor variations in the earth’s ionosphere by estimating total electron content (TEC) using dual-frequency observations. Differential code biases (DCBs) are one of the important error sources in estimating precise TEC from GNSS data. The International GNSS Service (IGS) Analysis Centers have routinely provided DCB estimates for GNSS satellites and IGS ground receivers, but the DCBs for regional and local network receivers are not provided. Furthermore, the DCB values of GNSS satellites or receivers are assumed to be constant over 1?day or 1?month, which is not always the case. We describe Matlab code to estimate GNSS satellite and receiver DCBs for time intervals from hours to days; the software is called M_DCB. The DCBs of GNSS satellites and ground receivers are tested and evaluated using data from the IGS GNSS network. The estimates from M_DCB show good agreement with the IGS Analysis Centers with a mean difference of less than 0.7?ns and an RMS of less than 0.4?ns, even for a single station DCB estimate. 相似文献
16.
The Global Navigation Satellite System presents a plausible and cost-effective way of computing the total electron content (TEC). But TEC estimated value could be seriously affected by the differential code biases (DCB) of frequency-dependent satellites and receivers. Unlike GPS and other satellite systems, GLONASS adopts a frequency-division multiplexing access mode to distinguish different satellites. This strategy leads to different wavelengths and inter-frequency biases (IFBs) for both pseudo-range and carrier phase observations, whose impacts are rarely considered in ionospheric modeling. We obtained observations from four groups of co-stations to analyze the characteristics of the GLONASS receiver P1P2 pseudo-range IFB with a double-difference method. The results showed that the GLONASS P1P2 pseudo-range IFB remained stable for a period of time and could catch up to several meters, which cannot be absorbed by the receiver DCB during ionospheric modeling. Given the characteristics of the GLONASS P1P2 pseudo-range IFB, we proposed a two-step ionosphere modeling method with the priori IFB information. The experimental analysis showed that the new algorithm can effectively eliminate the adverse effects on ionospheric model and hardware delay parameters estimation in different space environments. During high solar activity period, compared to the traditional GPS + GLONASS modeling algorithm, the absolute average deviation of TEC decreased from 2.17 to 2.07 TECu (TEC unit); simultaneously, the average RMS of GPS satellite DCB decreased from 0.225 to 0.219 ns, and the average deviation of GLONASS satellite DCB decreased from 0.253 to 0.113 ns with a great improvement in over 55%. 相似文献
17.
Compensation for differential code bias (DCB) is necessary because it is the major source of errors in total electron content (TEC) measurements. The DCB estimation performance is degraded when only the regional GPS network is used. Because DCB estimation is highly correlated with ionospheric modeling, this degradation is particularly evident for measurements concentrated in an area of high TEC concentration. This study proposes a DCB estimation method that uses the long-term stability of the DCB to improve the estimation performance of the regional GPS network. We estimate satellite DCBs by assuming their constancy over seven months. This extended period increases the number of measurements used in DCB estimation and changes the local time distribution of collected measurements. As a result, the unbalanced distribution of specific ionospheric conditions disappears. Tests are performed using both global and regional networks, and the estimation performance is evaluated based on the position error and pseudorange residuals. First, the difference between the global and regional networks when using the conventional method is analyzed. Second, proposed methods are applied to regional networks. The proposed method can improve the DCB estimation performance, and the results are similar to those obtained using one-day global network data. 相似文献
18.
The Global Positioning System (GPS) satellite differential code bias (DCB) should be precisely calibrated when obtaining ionospheric slant total electron content (TEC). So far, it is ground-based GPS observations that have been used to estimate GPS satellite DCB. With the increased Low Earth Orbit (LEO) missions in the near future, the real-time satellite DCB estimation is a crucial factor in real-time LEO GPS data applications. One alternative way is estimating GPS DCB based on the LEO observations themselves, instead of using ground observations. We propose an approach to estimate the satellite DCB based on Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Challenging Minisatellite Payload (CHAMP) GPS observations during the years 2002–2012. The results have been validated through comparisons with those issued by Center for Orbit Determination in Europe (CODE). The evaluations indicate that: The approach can estimate satellite DCB in a reasonable way; the DCB estimated based on CHAMP observations is much better than those on COSMIC observations; the accuracy and precision of DCB show a possible dependency on the ionospheric ionization level. This method is significance for the real-time processing of LEO-based GNSS TEC data from the perspective of real-time applications. 相似文献
19.
差分码偏差(DCB)是电离层建模与导航定位授时的主要误差源,北斗多频多通道信号衍生出一系列新的DCB。本文首先分析了北斗三号卫星的码观测值组合及可估的DCB类型,建立了北斗三号卫星多频码偏差估计的数学模型,利用IGS实测数据首次估计得到了22种不同类型的北斗DCB。在此基础上,全面比较分析了各类DCB的内符合精度、外符合精度及月稳定度。结果表明,北斗三号卫星各类DCB的闭合差基本都在0.2 ns以内,具有较好的内符合精度;估计结果与中科院(CAS)、德国宇航中心(DLR)提供的DCB产品具有一致性,与CAS的6种DCB偏差基本在0.1 ns以内,与DLR的4种DCB偏差基本在0.2 ns以内;由于误差传递的影响,通过线性转换得到DCB值的精度和可靠性不及DCB直接估计量;北斗三号卫星各类DCB的月平均标准差为0.083 ns,具有较好的中长期稳定性;相较于北斗二号卫星,北斗三号卫星的DCB稳定性相对更优。 相似文献