共查询到18条相似文献，搜索用时 437 毫秒
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在 GNSS / INS车载组合导航系统中,GNSS信号易受遮挡或干扰而失锁,造成组合导航精度有所降低.针对这种情况,将虚拟卫星法应用于 GNSS / INS组合导航系统中.通过增加虚拟卫星,构造虚拟观测量,将实测观测量、虚拟观测量用于组合导航 Kalman滤波器解算.试验结果表明,此方法能够有效地提高系统的可观测性和导航精度. 相似文献
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为解决不同GNSS间信号差异引起的多GNSS RTK/INS紧组合导航应用中卫星系统间模糊度固定失败的问题,本文提出顾及ISB/IFB的多GNSS RTK/INS紧组合导航方法,以进一步发挥多GNSS在复杂环境下的互补性和灵活性。本文推导了顾及ISB/IFB的多GNSS RTK/INS紧组合导航观测方程,给出了综合利用抗差估计方法和粒子群优化的ISB/IFB参数估计方法。试验结果表明,顾及ISB/IFB参数可以在一定程度上提高卫星系统间模糊度固定成功率;结合抗差估计方法提高卡尔曼状态估计浮点解精度,可显著提高多GNSS RTK/INS紧组合导航系统在复杂环境下的系统间模糊度固定成功率与导航精度。 相似文献
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GNSS/INS组合导航系统定位精度分析 总被引：1，自引：0，他引：1
GNSS/INS组合导航系统近年来得到了快速发展,应用领域越来越广泛。组合导航的定位精度是一个重要的研究方向,本文将应用于航空遥感领域的高精度GNSS/INS组合导航系统放置在地面平台上,采集试验数据,通过与NRTK定位结果比较,对组合导航系统定位精度进行分析,得出GNSS/INS组合导航系统的定位精度可达到厘米级的试验结论。 相似文献
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针对车载全球导航卫星系统/惯性导航系统（global navigation satellite system/inertial navigation system,GNSS/INS）组合导航中卫星信号中断,惯性导航系统单独导航误差积累较大的问题,提出了附加载体运动条件约束的卡尔曼（Kalman）滤波解算方法。通过利用载体固有的运动约束,包括近似高程约束、近似速度约束和近似姿态约束,减少载体自由度和模型参数;通过引入新的观测类型,增加观测冗余,可以加强Kalman滤波解,提高在GNSS信号中断时组合导航系统的定位精度,实现无缝导航。 相似文献
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研究了利用GNSS／INS组合导航技术实现铁路既有线轨道绝对位置的快速精密测量方法,以便携式轨检小车作为移动平台搭载惯性测量单元、全球卫星导航系统、里程计和轨距尺模块,在运动过程中测量载体的三维坐标、姿态,结合轨距测量值推算轨道中线的精确三维坐标. 该方法对高精度轨道控制网依赖程度低,采用移动测量模式,作业效率高。在徐郑无砟高速铁路的实测结果表明,GNSS／INS组合导航系统平面测量精度优于6 mm(RMS),高程测量精度优于15 mm(RMS),可用于既有线线型恢复。 相似文献
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针对GNSS/INS松组合导航系统观测信息无冗余,而且观测信息可能存在异常的情形,结合自适应滤波算法和神经网络算法,提出了两种GNSS/INS抗差自适应组合导航解算方案,根据观测信息和动力学模型信息异常情况,给出了4种GNSS/INS抗差自适应滤波算法。利用实测数据进行了验证,结果表明,4种抗差自适应滤波算法在观测信息不足的情况下,不但能够抑制动力学模型扰动异常对导航解的影响,而且能够较好地抑制异常观测信息对导航解的影响。 相似文献
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GNSS/INS组合导航中,姿态解算和比力转换精度是影响精度的关键因素,且GNSS观测数据存在粗差,易对组合导航系统产生影响,针对以上问题,本文设计了一种顾及姿态解算精度的组合导航抗差算法,利用罗德里格斯公式进行姿态更新和比力转换,通过引入抗差估计理论,利用观测值和预测值的差值构造抗差因子,重新设计观测量噪声矩阵.一组... 相似文献
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本文对GNSS/INS组合系统用于地震监测的方案进行了算法设计和仿真验证。根据地震运动的特点,惯性测量器件只采用三轴加速度计,以简化系统、降低成本;并为此专门设计了惯导算法和松组合架构下的组合算法,包括前向滤波和反向平滑。在建模和仿真中,采用了实测分析得到的GNSS精密定位的准确误差模型,保证了仿真条件的真实性和仿真结果的有效性。研究结果表明,加速度计信息能够改善GNSS的相对定位精度和动态性能,从而有效地测量地震运动。本文是GNSS/INS组合技术用于地震监测的有益尝试。 相似文献
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The integration of Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) technologies is a very useful navigation option for high-accuracy positioning in many applications. However, its performance is still limited by GNSS satellite availability and satellite geometry. To address such limitations, a non-GNSS-based positioning technology known as “Locata” is used to augment a standard GNSS/INS system. The conventional methods for multi-sensor integration can be classified as being either in the form of centralized Kalman filtering (CKF), or decentralized Kalman filtering. However, these two filtering architectures are not always ideal for real-world applications. To satisfy both accuracy and reliability requirements, these three integration algorithms—CKF, federated Kalman filtering (FKF) and an improved decentralized filtering, known as global optimal filtering (GOF)—are investigated. In principle, the GOF is derived from more information resources than the CKF and FKF algorithms. These three algorithms are implemented in a GPS/Locata/INS integrated navigation system and evaluated using data obtained from a flight test. The experimental results show that the position, velocity and attitude solution derived from the GOF-based system indicate improvements of 30, 18.4 and 20.8% over the CKF- and FKF-based systems, respectively. 相似文献
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CNS+GNSS+INS船载高精度实时定位定姿算法改进研究 总被引：2，自引：1，他引：1
天文导航（CNS）、卫星导航（GNSS）和惯性导航（INS）3种系统组合可提供高精度的定位定姿结果。实际工程中因INS长时间误差累积，以及系统硬件传输存在不可忽略的时间延迟，导致INS提供给CNS的预报粗姿态误差较大，恶劣海况下难以保障快速搜星，造成天文导航可靠性下降、姿态测量精度较低的问题。为此，本文提出了一种CNS+GNSS+INS高精度信息融合实时定位定姿框架，引入了等角速度外推措施，有效地解决了惯导信息延迟问题。通过高精度转台模拟恶劣海况下载体大角速度摇摆，验证了本文提出的改进算法的有效性。试验结果表明，该算法架构简单，性能可靠，显著提高了恶劣环境下星敏感器的快速、准确搜星能力，保障了三组合姿态测量的精度和可用性。 相似文献
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Dong-Hwan Hwang Sang Heon Oh Sang Jeong Lee Chansik Park Chris Rizos 《GPS Solutions》2005,9(4):294-311
Due to their complementary features of GPS and INS, the GPS/INS integrated navigation system is increasingly being used for
a variety of commercial and military applications. An attitude determination GPS (ADGPS) receiver, with multiple antennas,
can be more effectively integrated with a low-cost IMU since the receiver gives not only position and velocity data but also
attitude data. This paper proposes a low-cost attitude determination GPS/INS integrated navigation system. The proposed navigation
system comprises an ADGPS receiver, a navigation computer unit (NCU), and a low-cost commercial MEMS IMU. The navigation software
includes a fault detection and isolation (FDI) algorithm for integrity. In order to evaluate the performance of the proposed
navigation system, two flight tests have been performed using a small aircraft. The first flight test confirmed the fundamental
operation of the proposed navigation system and the effectiveness of the FDI algorithm. The second flight test evaluated the
performance of the proposed navigation system and demonstrated the benefit of GPS attitude information in a high dynamic environment.
The flight test results show that the proposed ADGPS/INS integrated navigation unit gives reliable navigation performance
even when anomalous GPS data is provided and gives better navigation performance than a conventional GPS/INS unit. 相似文献
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采用全球卫星导航系统（Global Navigation Satellite System，GNSS）模糊度固定解可提高GNSS/惯性导航系统（inertial navigation system，INS）组合导航定位精度，而在复杂环境下，单频GNSS难以实现完善的实时动态周跳探测，影响GNSS模糊度保持。研究了星间单差与站星双差的INS辅助GNSS单频周跳探测检验量，重点分析检验量的误差特性。分析得出检验量误差主要与INS增量误差有关，受接收机至待检星与参考星之间星地矢量夹角的影响。提出了选取两颗参考星并优选探测检验量的方法，降低方位角因素的影响，提高周跳探测性能。周跳探测的阈值在滑动窗口内估计，对INS误差被GNSS误差淹没的部分进行抑制，充分反映INS误差影响，阈值估计具有较强的自适应性。 相似文献
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陆地导航中GNSS/陀螺仪组合实时测姿方法 总被引：2，自引：0，他引：2
在陆地导航系统中使用GNSS/INS组合导航会增加系统成本,多天线GNSS测姿精度受基线长度影响,且存在的模糊度固定问题。本文提出仅利用一个陀螺仪和单天线GNSS组合来进行实时测姿。先由单天线GNSS计算姿态角3参数,航向角为陆地导航的关键参数,为此将陀螺信息与GNSS导出的航向角进行融合。分析了单天线测姿在载体静止或低速运动时精度很差的原因,提出了在组合滤波中进行解决的方案。推导了GNSS和陀螺信息融合的滤波模型,将陀螺仪信息作为状态模型的控制输入,以GNSS航向为滤波观测值。实验结果表明,GNSS/陀螺仪组合计算的航向角精度和可靠性相对GNSS测姿结果均有很大提升。 相似文献
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全球卫星导航系统(GNSS)在弱信号环境下,GNSS信号易受到遮挡或者电磁干扰,严重影响导航定位的可靠性、连续性和精度. 针对此问题,本文作者研究了一种GNSS和视觉观测紧组合导航定位方法. 首先基于相机采集图像数据,利用ORB-SLAM2开源平台求解得到视觉位置结果增量,再联合GNSS伪距观测数据采用卡尔曼滤波(KF)进行组合定位解算. 采用实测的GNSS伪距观测数据和图像数据进行测试,试验结果表明:该算法不仅能有效地提升GNSS弱信号环境下导航定位的连续性和精度,还能在卫星数少于4颗时保持持续导航定位. 相似文献
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里程计通常被用于辅助车载GNSS/INS组合导航系统,以解决当遇到高楼、密林、隧道等信号干扰和遮蔽严重情景时导致精度下降的问题,而里程计辅助需要获取准确的里程计杆臂和安装角。鉴于此,本文提出了一种基于预积分的IMU/ODO外参估计算法,使用由里程计观测和GNSS/INS组合导航解算得到的一段时间内的里程增量差异构建代价函数,通过非线性优化器进行标定参数求解。仿真与实际测试均表明了本文标定方法的有效性,里程计观测在经过标定外参补偿后,可为车载GNSS/INS组合导航系统提供厘米级的精度辅助。 相似文献
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Dae Hee Won Eunsung Lee Moonbeom Heo Sangkyung Sung Jiyun Lee Young Jae Lee 《GPS Solutions》2014,18(2):177-187
In urban canyons, buildings and other structures often block the line of sight of visible Global Navigation Satellite System (GNSS) satellites, which makes it difficult to obtain four or more satellites to provide a three-dimensional navigation solution. Previous studies on this operational environment have been conducted based on the assumption that GNSS is not available. However, a limited number of satellites can be used with other sensor measurements, although the number is insufficient to derive a navigation solution. The limited number of GNSS measurements can be integrated with vision-based navigation to correct navigation errors. We propose an integrated navigation system that improves the performance of vision-based navigation by integrating the limited GNSS measurements. An integrated model was designed to apply the GNSS range and range rate to vision-based navigation. The possibility of improved navigation performance was evaluated during an observability analysis based on available satellites. According to the observability analysis, each additional satellite decreased the number of unobservable states by one, while vision-based navigation always has three unobservable states. A computer simulation was conducted to verify the improvement in the navigation performance by analyzing the estimated position, which depended on the number of available satellites; additionally, an experimental test was conducted. The results showed that limited GNSS measurements can improve the positioning performance. Thus, our proposed method is expected to improve the positioning performance in urban canyons. 相似文献