基于ISM参数偏差阶梯式变化的ARAIM可用性

针对双频多星座全球卫星导航系统提供垂直引导服务的先进接收机端完好性监测技术(ARAIM)是当前完好性研究的重要热点之一,完好性支持信息(ISM)是实现ARAIM可用性的核心内容。为了探讨ARAIM可用性对ISM参数偏差的敏感度,在梳理ISM各参数和ARAIM性能关系的基础上,研究了基于阶梯式变化的ISM参数偏差对ARAIM可用性的影响情况。研究结果表明,ARAIM算法的四种可用性判据对ISM参数偏差表现出不同的耐受性,ISM各参数偏差对ARAIM可用性影响差异较大,且ISM参数中的用户测距精度(URA)对ARAIM可用性的影响最为明显,可造成大于10%的严重影响。     

Navigation sensors and systems in GNSS degraded and denied environments

Position, velocity, and timing(PVT) signals from the Global Positioning System(GPS)are used throughout the world but the availability and reliability of these signals in all environments has become a subject of concern for both civilian and military applications. This presentation summarizes recent advances in navigation sensor technology, including GPS, inertial, and other navigation aids that address these concerns. Also addressed are developments in sensor integration technology with several examples described, including the Bluefin-21 system mechanization.     

螺旋波等离子体推进研究进展

螺旋波等离子体推力器是一种新概念磁等离子体推进装置,以其电离率高、无电极烧蚀、寿命长、比冲高等优点受到国内外学者的广泛关注,该新型推力器在未来长寿命深空探测器和卫星的动力系统中具有广阔的应用前景。概述了螺旋波等离子体推力器的系统组成和工作原理、重点介绍了该推力器的研究进展、现状和关键技术,总结了国外在研的四种典型的推力器结构类型,并根据实际情况,提出了国内螺旋波技术在电推进领域的研究方向和发展思路。     

钟滑动辅助GNSS定位算法研究

针对GNSS卫星星座几何形状不好或者观测卫星数量不足,无法为导航解算和自主完好性监测提供足够观测量的问题,提出采用GNSS接收机时钟观测值进行辅助定位,提高定位精度,实现自主完好性监测。通过对接收机时钟建模,引入本地钟的钟差方程、辅助接收机观测方程,从而建立了一套完整的钟滑动辅助定位算法。通过对采集的真实数据作计算机仿真,证明了该算法的可行性和有效性。结果表明,在卫星星座几何形状较差或者某颗卫星出现故障时,利用钟差辅助算法能够有效地排除故障星,得到较好的定位结果。     

GNSS geodetic techniques for time and frequency transfer applications

We performed an initial analysis of the pseudorange data of the GIOVE-B satellite, one of the two experimental Galileo satellites currently in operation, for time transfer.¹ For this specific aim, software was developed to process the GIOVE-B raw pseudoranges and broadcast navigation messages collected by the Galileo Experimental Sensor Stations (GESS) tracking network, yielding station clock phase errors with respect to the Experimental Galileo System Time (EGST). The software also allows processing the Global Positioning System (GPS) P1 and P2 pseudorange data with broadcast navigation message collected at the same stations to obtain the station clock phase errors with respect to the GPS system time (GPST). Differencing these solutions between stations provides two independent means of GNSS time transfer. We compared these time transfer results with Precise Point Positioning (PPP) method applied to GPS data in combined carrier-phase and pseudorange mode as well as in pseudorange-only mode to show their relative merits. The PPP solutions in combined carrier-phase and pseudorange mode showed the least instability of the methods tested herein at all scales, at few parts in 10¹⁵ at 1 day for the stations processed, following a tau^−½ interval dependency. Conversely, the PPP solutions in pseudorange-only mode are an order of magnitude worst (few parts in 10¹⁴ at 1 day for the stations processed) following a tau⁻¹ power-law, but slightly better than the single-satellite raw GPS time transfer solutions obtained using the developed software, since the PPP least-squares solution effectively averages the pseudorange noise. The pseudorange noise levels estimated from PPP pseudorange residuals and from clock solution comparisons are largely consistent, providing a validation of our software operation. The raw GIOVE-B time transfer, as implemented in this work, proves to be slightly better than single-satellite raw GPS satellite time transfer, at least in the medium term. However, one of the processed stations shows a combined GPS P1 and P2 pseudorange noise level at 2 m, a factor 2 worst than usually seen for geodetic receivers, so the GPS time transfer results may not be at their best for the cases processed. Over the short term, the GPS single-satellite time transfer instability outperforms the GIOVE-B by an order of magnitude at 1 s interval, which would be due to the different characteristics of the tracking loop filters for GPS P1 and P2 on one hand and the GIOVE-B signals on the other. Even at this preliminary stage and using an experimental satellite system, results show that the GIOVE-B (and hence Galileo) signals offer interesting perspectives for high precision time transfer between metrological laboratories.     

Monitoring coastal sea level using reflected GNSS signals

A continuous monitoring of coastal sea level changes is important for human society since it is predicted that up to 332 million people in coastal and low-lying areas will be directly affected by flooding from sea level rise by the end of the 21st century. The traditional way to observe sea level is using tide gauges that give measurements relative to the Earth’s crust. However, in order to improve the understanding of the sea level change processes it is necessary to separate the measurements into land surface height changes and sea surface height changes. These measurements should then be relative to a global reference frame. This can be done with satellite techniques, and thus a GNSS-based tide gauge is proposed. The GNSS-based tide gauge makes use of both GNSS signals that are directly received and GNSS signals that are reflected from the sea surface. An experimental installation at the Onsala Space Observatory (OSO) shows that the reflected GNSS signals have only about 3 dB less signal-to-noise-ratio than the directly received GNSS signals. Furthermore, a comparison of local sea level observations from the GNSS-based tide gauge with two stilling well gauges, located approximately 18 and 33 km away from OSO, gives a pairwise root-mean-square agreement on the order of 4 cm. This indicates that the GNSS-based tide gauge gives valuable results for sea level monitoring.     

Tomographic reconstruction of wet and total refractivity fields from GNSS receiver networks

One of the most attractive scientific issues in the use of GNSS (Global Navigation Satellite System) signals, from a meteorological point of view, is the retrieval of high resolution tropospheric water vapour maps. The real-time (or quasi real-time) knowledge of such distributions could be very useful for several applications, from operative meteorology to atmospheric modelling. Moreover, the exploitation of wet refractivity field reconstruction techniques can be used for atmospheric delay compensation purposes and, as a very promising activity, it could be applied for example to calibrate SAR or Interferometric-SAR (In-SAR) observations for land remote sensing. This is in fact one of the objectives of the European Space Agency project METAWAVE (Mitigation of Electromagnetic Transmission errors induced by Atmospheric Water vapour Effects), in which several techniques are investigated and results were compared to identify a strategy to remove the contribution of water vapour induced propagation delays in In-SAR products. Within this project, the tomographic reconstruction of three dimensional wet refractivity fields from tropospheric delays observed by a local GNSS network (9 dual frequency GPS receivers) deployed over Como area (Italy), during 12–18 October, 2008, was performed. Despite limitations due to the network design, internal consistency tests prove the efficiency of the adopted tomographic approach: the rms of the difference between reconstructed and GNSS observed Zenith Wet Delays (ZWD) are in the order of 4 mm. A good agreement is also observed between our ZWDs and corresponding delays obtained by vertically integrating independent wet refractivity fields, taken by co-located meteorological analysis. Finally, during the observing period, reconstructed vertical wet refractivity profiles evolution reveals water vapour variations induced by simple cloud covering. Even if our main goal was to demonstrate the effectiveness in adopting tomographic reconstruction procedures for the evaluation of propagation delays inside water vapour fields, the actual water vapour vertical variability and its evolution with time is well reproduced, demonstrating also the effectiveness of the inferred 3D wet refractivity fields.     

Monitoring atomic clocks on board GNSS satellites

A method for monitoring atomic clocks on board Global Navigation Satellites System (GNSS) satellites is described to address the issue of clock related signal integrity in safety–critical applications of GNSS. The carrier-phase time transfer is employed in the clock monitoring method which enables tight tracking of the satellite onboard clocks and thus improves detectability of clock anomalies. Detecting onboard clock anomalies requires the ability to monitor clocks in real time, and a Kalman filter can then be utilized to estimate the phase offsets between the satellite clocks and ground clocks. This study, using the difference between the measured and predicted phase offset as a test statistic, sets a threshold for clock anomalies based on the prediction interval approach. Finally the validity of the monitoring method is examined by processing a set of real GNSS data that includes two recent incidents of clock anomalies in GNSS satellites.     

高级接收机自主完好性监视的可用性预测

高级接收机自主完好性监测(ARAIM)是单频RAIM的扩展。基于对垂直保护限值(VPL)和有效监视门限(EMT)的分析,给出了垂直方向ARAIM的VPL实时和预测算法;对LPV-200进近,从单星座ARAIM的可用性出发,研究了双星座、多故障情况下ARAIM的可用性;对世界范围内ARAIM的可用性进行仿真,给出仿真统计,并对中国西部航路区域ARAIM的可用性进行仿真,结果表明,在双星座双频情况下,可用性设置为99.9%时ARAIM的算法覆盖率可达100%,完全满足LPV-200进近对完好性的要求。     

微陀螺g敏感性误差对组合导航精度的影响分析

高动态环境下,MIMU中的微机械陀螺表现出显著的g敏感性误差。首先采用简化的线性模型,从经典卡尔曼滤波的滤波增益阵出发,理论分析了g敏感性误差对组合导航系统精度的影响;然后在组合导航半实物仿真平台上进行了验证。结果表明,g敏感性误差对组合滤波位置与速度精度影响不大,但对姿态的精度影响较大,当载体沿陀螺敏感轴方向的加速度为50g时,相应轴向的姿态角误差约为5.70°,姿态精度损失很大。因此,MIMU/GNSS组合导航在高动态应用中,必须对微陀螺的g敏感性误差进行补偿。