共查询到19条相似文献，搜索用时 109 毫秒
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LPV-200下中国区域内 ARAIM 可用性评估 总被引：1，自引：0，他引：1
随着GNSS星座的增多以及多频技术的发展,基于解分离的高级接收机自主完好性监测算法被广泛研究。本文介绍了该算法的基本原理,并结合多星座特点,对中国区域内ARAIM算法能力进行评估,利用仿真数据分析了用户测距精度对算法可用性的影响;探讨了不同星座数据在中国区域的完好性性能。仿真结果表明：双频条件下,系统完好性性能很大程度上取决于用户测距精度,在中国区域内,仅GPS单星座不足以满足LPV-200进近对完好性的要求,GPS与Galileo双星座下,ARAIM 算法覆盖率可达100％。 相似文献
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针对高级接收机自主完好性监视(ARAIM)算法的适航性,基于实测数据,对GPS／BDS ARAIM算法故障检测与排除的性能和可用性预测的性能进行了测试. 结果表明:GPS／BDS组合系统下ARAIM算法故障检测与排除的性能良好,对大于100 m的阶跃型故障,正确检测与排除的效率达到99.9％;GPS／BDS组合系统下ARAIM的单点可用性良好,完全满足LPV-200的完好性性能要求,中国范围内的可用性覆盖率达到99％,世界范围内的可用性覆盖率达到90％以上. 由此可知,GPS/BDS ARAIM算法性能良好. 相似文献
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张倩倩 《测绘科学技术学报》2015,(5):455-459
讨论了如何提高单星座增强型接收机自主完好性监测ARAIM算法的可用性问题。借助于钟差辅助模型设计了一种能够用于垂直精密进近LPV-250服务的单星座ARAIM算法。将钟差预测值作为虚拟伪距观测值纳入到当前的定位解算中,以提高单星座ARAIM算法的可用性。设计了新的完好性风险配置方案,在计算用户保护水平时,通过直接计算故障偏差对定位误差的影响大小来解决未知故障偏差的估计问题,对于系统的可用性给出了更精确的评定。试验分析结果表明,钟差辅助对于提高单星座ARAIM算法的可用性具有显著的作用。 相似文献
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针对目前MHSS ARAIM (multiple hypothesis solution separation advanced receiver autonomous integrity monitoring)算法存在的抗差能力弱、计算子集过多、计算量过大等不足,提出一种组合粗差探测的MHSS ARAIM算法。该算法先用粗差探测方法对原始数据进行粗差识别与剔除,而后用MHSS ARAIM算法处理经粗差探测后的数据,可弥补MHSS ARAIM算法的不足。对若干IGS和全球连续监测评估系统iGMAS(international GNSS monitoring and assessment system)监测站观测数据进行计算和分析。结果表明:在航行LPV-200阶段,该算法应用于GPS和BDS导航的性能优于MHSS ARAIM;在假设单故障情况下,该算法对GPS和BDS观测数据的有效监视门限EMT(effective monitor threshold)的精度分别提高了22.47%和9.63%,对VPL(vertical protection level)的精度分别提高了32.28%和12.98%;在假设双故障情况下,对EMT的精度分别提高了80.85%和29.88%,对VPL的精度分别提高了49.66%和18.24%。 相似文献
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随着北斗三号系统的建成,北斗系统各方面的性能得到了全面提升,大大提高了导航定位的精度和完好性,同时也为增强型接收机自主完好性监测(advanced receiver autonomous integrity moni tori ng,ARAIM)的发展提供了可能.基于此,本文在全球范围内选取10个均匀分布的MGEX(multi-GNSS experiment)测站一周的观测数据进行ARAIM试验,同时利用这7 d的广播星历进行可用性仿真预测评估北斗系统在亚太地区及全球范围内的ARAIM可用性.为了增加试验的真实性,同时采用航空测试数据进行试验.实测数据试验结果表明:在支持接收PRN1-46号北斗卫星的MGEX站点中,BDS-2/BDS-3 ARAIM可用性最低在95％ 以上,BDS-3在85％ 以上;航空数据中,BDS-2/BDS-3、BDS-3 ARAIM可用性均为100％.仿真预测结果表明:在亚太地区,BDS-2/BDS-3 ARAIM地面网络点的平均可用性大于90％ 和99.5％ 的覆盖比率分别为100％ 和96.15％,BDS-3 ARAIM平均可用性大于90％和99.5％ 的覆盖比率为100％ 和57.69％.在全球范围内,BDS-2/BDS-3 ARAIM地面网络点的平均可用性大于90％ 和99.5％ 的覆盖比率为79.94％ 和42.82％,BDS-3 ARAIM平均可用性大于90％ 和99.5％ 的覆盖比率为56.33％ 和25.32％.此外,BDS与GPS系统组合能够大幅度提高ARAIM算法的可用性. 相似文献
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精密定位的质量控制和完好性评估是实时全球卫星导航系统(GNSS)导航应用不可或缺的环节,尤其是在GNSS易受损害的城市峡谷等场景下,这种需求更加迫切.广域精密单点定位(PPP)瞬时分米级定位,利用GNSS三频信号形成的两个宽巷观测值可以实现单点单历元分米级定位.然而,在城市复杂环境中,反射信号、严重多路径以及其他信号干扰对定位造成的影响无法准确评估与识别,限制了PPP瞬时分米级单点定位的应用.完好性概念中的高级接收机自主完好性监测(ARAIM)可以计算用户定位误差最小置信区间的上限保护水平(PL)以评估定位有效性,可经过一定改进用于PPP瞬时定位的质量控制.针对当前ARAIM中计算PL的误差模型难以适应高精度定位需求的问题,提出了一种改进的ARAIM PL算法,称其为BARAIM(Back Advanced Receiver Autonomous Integrity Monitoring).使用PPP三频组合观测值残差对ARAIM权与误差模型进行修正以计算PL.基于不同复杂程度的环境下采集的车载数据对算法进行了验证,对PL的改进情况以及导航的可用性提升情况进行评估.结果表明:在不同环境下,基于改进的B-ARAIM算法得到的PL,相比传统方法得到的PL更符合城市定位的需要,将PL降低了30%~70%.此方法有助于将ARAIM算法应用在高精度GNSS定位领域. 相似文献
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城市环境下BDS+GPS RTK+INS紧组合算法性能分析 总被引：3，自引：0，他引：3
城市环境下运动载体接收的GNSS信号会被频繁地干扰和遮挡,GNSS RTK独立工作模式难以连续且可靠地固定模糊度以满足厘米级高精度定位需求。为此,本文设计了一套基于集中式卡尔曼滤波的BDS+GPS RTK紧组合算法,给出了其动力学模型、观测模型和算法架构流程。通过城市环境下的实际车载测试,对比分析了BDS、GPS、BDS+GPS 3种模式下RTK及RTK+INS紧组合的定位性能。试验结果表明,BDS+GPS双系统大大增加了可见卫星数,提高了城市环境下GNSS动态精密定位的可用性和精度;相对于GNSS RTK,紧组合极大地提高了精密定位的可靠性和可用性。 相似文献
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《武汉大学学报(信息科学版)》2020,(1)
全球导航卫星系统(global navigation satellite system, GNSS)的发展和完善为多星座融合定位、导航和授时提供了重要基础,也为接收机自主完好性监测提供了更有利的外部条件。首先通过星座仿真,分别计算了单频和双频条件下GNSS单系统及组合系统的保护水平;然后分析了全球范围内GNSS不同频率及不同组合方式条件下的保护水平的基本分布情况;最后探讨了在不同频率和组合方式条件下接收机自主完好性监测(receiver autonomous integrity monitoring, RAIM)在不同进近阶段的可用性。计算结果表明,单系统单频或双频组合均不能满足垂直制导航性能(localizer performance with vertical guidance 200ft, LPV-200)进近阶段的要求;双系统双频组合可满足LPV-200进近阶段的要求;三系统双频组合可满足具有垂直引导(approach with vertical guidance II,APV-II)的进近阶段的要求,但无法满足精密进近要求;四系统组合相比于三系统组合改善效果不明显。 相似文献
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Jörg F. Wagner 《GPS Solutions》2005,9(3):179-193
During the last years, the International Symposia on Precision Approach and Automatic Landing (ISPA) have shown a considerable change in the significance of integrated landing systems. At the first ISPA conference in 1995, the combination of inertial sensors and GNSS receivers was thoroughly discussed and appeared to be a very promising concept, especially with respect to ‘Integrity’ and ‘Continuity’. Ever since, this particular combination of sensors has received little attention. A comprehensive discussion of the technical background of this setback for integrated landing systems did not take place, primarily because of the popular opinion that the Kalman filter algorithm, which is the system integration kernel, is not sufficiently stable. The true reason has meanwhile been identified. The aiding of an inertial navigation system by only one GNSS antenna is insufficient in phases of low aircraft dynamics such as in the case of final approach. Instead, a multi-antenna system is required with antennas widely distributed over the aircraft structure. This latter approach, however, causes problems due to structural flexibilities. To show that an integrated system based on inertial sensors and widely distributed GNSS antennas is technically feasible, the paper discusses the following topics. (1) Unstable system performance during final approach for 1-antenna-aiding. (2) Improving the system performance prior to using additional antennas. (3) Effect of the antenna distribution. (4) Integrated systems for distributed sensors and flexible aircraft structures. The paper shows that integrated systems are still an attractive candidate for automatic landing equipment preserving the advantages with respect to ‘Integrity’ and ‘Continuity’. 相似文献
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随着GNSS系统在军事和经济中的广泛应用,每天都会记录大量观测值,这些数据需要存储和在网络上传输。为了减少数据的存储空间和提高网络的传输效率,进行GNSS观测值的压缩算法研究是十分必要的。提出了采用六十进制的数位存储方法,利用递推差分算法进行GNSS观测值压缩,开发了相应的软件GnssRAR(V1.0)。实验表明,GnssRAR的压缩比率达到80%左右,具有非常好的压缩效果。 相似文献
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MEMS-based integrated system of a global navigation satellite system (GNSS) and an inertial navigation system (INS) has been widely used in various navigation applications. However, such integration encounters some major limitations. On the one hand, the noisy MEMS-based INS undermines the accuracy with time during the frequently occurring GNSS outages caused by signal blockage or attenuation in certain situations such as urban canyon, tunnels, and high trees. On the other hand, the model mismatch between actual GNSS error and the assumed one would also degrade the obtained accuracy even with continuous GNSS aiding. To improve the overall performance for GNSS/MEMS-INS, better error models can be obtained using Allan variance (AV) analysis technique for modeling inertial sensor errors instead of the commonly recommended auto-regressive processes, and on the other hand, the measurement update in Kalman filter is improved using innovation filtering and AV calculation. The performance of each method and the combined algorithm is evaluated by a field test with either differential GNSS (DGNSS) or single-point positioning (SPP) as external aid. In addition to the considerable navigation enhancement brought by each method, the experimental results show the combined algorithm accomplishes overall accuracy improvements by about 18% (position), 8% (velocity), and 38% (attitude) for integration with DGNSS, and by about 15% (position), 75% (velocity), and 77% (attitude) for that with SPP, compared with corresponding traditional counterparts. 相似文献
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Using multiple portable/wearable devices for enhanced misalignment estimation in portable navigation
Global navigation satellite system (GNSS), such as global positioning system (GPS), has been widely used for vehicular and outdoor navigation. Accuracy is one, among many, of the advantages of using GNSS in the open sky. However, GNSS finds difficulty in achieving similar results in portable navigation, where users spend most of their time indoors or in urban canyons, places where GNSS signals suffer from multipath error or signal blockage. One of the most common solutions for providing location services in such challenging environments is integrating GNSS with inertial sensors, such as accelerometers and gyroscopes. However, the arbitrary orientation of the portable device can present a more difficult challenge when using inertial sensors for portable navigation. In order to obtain a navigation solution using inertial sensors, an accurate heading estimation is required. Resolving the heading misalignment angle between the portable navigation device and the moving platform, such as using the device while walking or in a vehicle while driving, is critical to obtaining an accurate heading estimation. We present a solution for resolving the misalignment between the portable device and the moving platform, which exploits multiple portable devices like smartphones or tablets and/or smart wearable devices such as smart watches, smart glasses, and/or smart fitness and activity trackers/monitors. Several real field test experiments using portable devices were conducted to examine the performance of the proposed method. Results show how a portable navigation solution can be improved by further enhancing misalignment estimation. 相似文献
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主要分析研究了EGNOS系统测试采用的误差修正模型和定位保护精度算法,并通过比较一次实测静态数据单点解算和差分解算的不同效果来说明误差模型的修正效果和保护精度算法的有效性。事实证明EGNOS系统数据处理采用的误差修正模型效果是明显的,采用的定位保护精度算法是有效的。 相似文献
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GNSS高程拟合常用的是二次曲面拟合法,该方法需要控制点位分布均匀,针对实际作业中受观测条件的影响部分控制点位数据无法获取,影响到GNSS高程测量精度问题,引入期望极大算法(EM算法),提出高斯分布下的EM算法与二次曲面拟合法相结合的组合算法模型,运用高斯分布下的EM算法的二次曲面拟合法对缺失数据的控制点进行建模分析。该组合算法可以获得缺失数据下未知参数的最佳估值,可有效提高水平面的拟合精度。将某区域的高程拟合控制点作为实验数据,结果表明,组合算法模型可以对缺失数据进行高程拟合,检核点最大误差为0.8 cm,组合模型拟合精度较高。 相似文献