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IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium最新文献

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A sensor based indoor mobile localization and navigation using Unscented Kalman Filter 基于无气味卡尔曼滤波的室内移动定位与导航
Chun-Jung Sun, Hong-Yi Kuo, Chin E. Lin
Localization is the most important function to mobile vehicle in indoor environments. The precise positioning of the mobile object can provide higher mobility with more operation capability. The main challenge for indoor navigation is to solve higher accuracy heading and position in real time. In this paper, a low-cost MEMS hardware is designed and fabricated to focus on its accelerations and orientations by appropriate sensors. An auxiliary architecture of the Wireless Sensor Network (WSN) is added to improve the tracking accuracy in system operation. A sensor node, spacing around 10 to 20 meters, is implemented as a positioning and navigation network in the small area. The proposed system measures the radio signal strength from each node using the Unscented Kalman Filter (UKF). By this algorithm, the linearization process of a nonlinear model can be neglected. The evaluation of the Jacobians is not requested to get higher order accuracy. The more accurate estimation can reach, the better parameter tuning of the UKF is observed. The proposed algorithm incorporating with MEMS hardware has lead to some good indoor test results.
定位是移动车辆在室内环境中最重要的功能。移动物体的精确定位可以提供更高的机动性和更强的操作能力。室内导航面临的主要挑战是实时解决更高精度的航向和位置问题。本文设计并制造了一种低成本的MEMS硬件,通过适当的传感器来关注其加速度和方向。为了提高系统运行中的跟踪精度,增加了无线传感器网络(WSN)的辅助结构。一个传感器节点,间距约为10至20米,在小区域内实现定位和导航网络。该系统使用无气味卡尔曼滤波器(UKF)测量来自每个节点的无线电信号强度。该算法可以忽略非线性模型的线性化过程。为了获得更高的阶精度,不要求对雅可比矩阵求值。估计越精确,UKF的参数调优效果越好。该算法与MEMS硬件相结合,取得了较好的室内测试效果。
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引用次数: 18
Dilution of precision and total interference level on a GPS+Galileo compatible receiver. A global perspective. GPS+Galileo兼容接收机的精度和总干扰水平的稀释。全球视角。
D. F. Prim
In a GPS+Galileo scenario and from a worldwide point of view, this contribution evaluates the use of higher elevation masking angles at the user receiver antenna while keeping positioning performances comparable to those achieved in a GPS-only scenario. By comparing suitable statistical figures of merit that account for time and geographical fitting of scenarios in terms of PDOP and receiver-estimated code delay jitter, it is hereby shown that performance equivalence is observed for a receiver antenna masking angle of 10° in a GPS-only scenario, and for 16.5° in a GPS+Galileo constellation. This fact is proposed to be applied as a simple measure to increase the robustness of mass-market receivers to external interference sources and multipath.
在GPS+伽利略方案中,从全球的角度来看,该贡献评估了在用户接收天线上使用更高仰角掩蔽角的情况,同时保持与仅GPS方案中实现的定位性能相当。通过比较考虑PDOP和接收机估计编码延迟抖动的时间和地理拟合的合适统计数据,可以看出,在仅GPS场景下,接收机天线掩蔽角为10°时,在GPS+伽利略星座下,掩蔽角为16.5°时,性能是相等的。这一事实被建议作为一种简单的措施来提高大众市场接收机对外部干扰源和多径的鲁棒性。
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引用次数: 0
Analysis of sculling motion errors caused by sensor transfer function imperfections in strapdown inertial navigation systems 捷联惯性导航系统中传感器传递函数缺陷引起的横桨运动误差分析
I. Rapoport, A. Brandes
Sculling compensation algorithms implemented in strapdown inertial navigation systems are designed to treat low frequency acceleration signals originated from a simultaneous linear and angular high frequency vibration through the strapdown navigation equations nonlinearity. However, if the inertial sensor transfer functions are imperfect, the low frequency terms might not be completely compensated, thus causing an effective bias in the accelerometer output. In the present work a quantitative analysis of the uncompensated sculling errors caused by the sensor transfer function imperfections is carried out in the case of the pure sculling motion. The obtained results can be used to facilitate the selection of the appropriate inertial sensors to meet the prescribed navigation accuracy requirements. The presented analysis is especially important if low cost (e.g., MEMS) sensors are considered for implementation in strapdown INS.
针对捷联惯导系统中同时存在线性和角高频振动的低频加速度信号,通过捷联惯导系统导航方程的非线性特性,设计了桨流补偿算法。然而,如果惯性传感器传递函数不完善,低频项可能无法完全补偿,从而导致加速度计输出中的有效偏差。本文定量分析了传感器传递函数不完善引起的纯划水运动中无补偿的划水误差。所得结果可用于方便地选择合适的惯性传感器,以满足规定的导航精度要求。如果考虑在捷联INS中实现低成本(例如MEMS)传感器,则所提出的分析尤其重要。
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引用次数: 4
High-precision lane-level road map building for vehicle navigation 用于车辆导航的高精度车道级路线图构建
Anning Chen, Arvind Ramanandan, J. Farrell
Lane relative vehicle navigation and control requires accurate lane-relative positioning of the vehicle. This relative position can be computed by comparing the vehicle absolute position with analytic roadway maps, which requires both high-accuracy positioning of the vehicle and high-accuracy lane maps. Carrier Phase Differential GPS (CPDGPS) aided INS or CPDGPS aided encoders is capable of estimating vehicle absolute position (relative to earth center) with centimeter level accuracy; however, to the best of the author's knowledge, the accuracy of lane level maps is currently not sufficient. In this paper, we first consider the structure of lane level maps that are compatible with standard practices of GIS road modeling. Then, various analytic lane definition are discussed. We also present a method of building lane level maps from high-accuracy positioning data along the lane center. The data is segmented according to road intersections. Shape points (vertices) as a function of arclength are located based on changes in estimated curvature. For each segment, the parameters are estimated by least-square criteria and can be refined as new datasets become available. This process is shown by an example.
车道相对车辆导航与控制要求对车辆进行准确的车道相对定位。这种相对位置可以通过比较车辆绝对位置和分析道路地图来计算,这既需要高精度的车辆定位,也需要高精度的车道地图。载波相位差分GPS (CPDGPS)辅助INS或CPDGPS辅助编码器能够以厘米级精度估计车辆的绝对位置(相对于地球中心);然而,据笔者所知,车道水平地图的精度目前还不够。在本文中,我们首先考虑与GIS道路建模标准实践兼容的车道水平地图结构。然后,讨论了各种解析巷的定义。我们还提出了一种利用沿车道中心的高精度定位数据构建车道水平地图的方法。数据根据路口进行分割。形状点(顶点)作为弧长的函数是基于估计曲率的变化来定位的。对于每个片段,参数是通过最小二乘标准估计的,并且可以随着新数据集的出现而改进。通过实例说明了这一过程。
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引用次数: 58
Experimental validation of TOA UWB positioning with two receivers using known indoor features 基于已知室内特征的双接收机TOA超宽带定位实验验证
Jan Kietlinski-Zaleski, T. Yamazato, M. Katayama
Ultra-Wideband is an attractive technology for short range positioning, especially indoors. However, for normal Time of Arrival (ToA) positioning, at least three receivers with unblocked direct path to the transmitter are required. This requirement is not always met. In this work, a novel algorithm for ToA positioning using only two receivers is presented and validated using data from a measurement campaign. Positioning with two receivers is possible by exploiting the knowledge of some of the indoor features, namely positions of big flat reflective surfaces, for example ceiling and walls.
超宽带是一种很有吸引力的短距离定位技术,尤其是在室内。然而,对于正常的到达时间(ToA)定位,至少需要三个与发射器直接路径畅通的接收器。这一要求并不总是得到满足。在这项工作中,提出了一种仅使用两个接收器进行ToA定位的新算法,并使用测量活动的数据进行了验证。利用一些室内特征的知识,即大型平面反射表面(例如天花板和墙壁)的位置,可以使用两个接收器进行定位。
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引用次数: 12
Multi-layer modeling and simulation of the effects of ionospheric scintillation on service availability of the GPS augmentation systems 电离层闪烁对GPS增强系统服务有效性影响的多层建模与仿真
R. Malla, R. Fries
This paper describes a multi-layer technique using modeling and simulation to assess the impact of ionospheric scintillation on satellite navigation systems. It is well known that GPS receivers in low- and high-latitude regions may suffer from rapid amplitude and phase fluctuations and signal scatter due to scintillation, causing loss of lock and cycle slips to dual as well as single frequency users. Scintillation poses a challenge to the GPS augmentation service providers including Space Based Augmentation Systems (SBAS) and Ground Based Augmentation Systems (GBAS) to provide a high probability of navigational service availability in affected regions. Over the recent decades, many studies and data analyses have been conducted to understand effect of scintillation which affects users of satellite based navigation systems. Some significant data has been translated into modeling and simulation tools to help characterize scintillation effects and the world-wide scintillation environment.
本文介绍了一种利用建模和仿真的多层技术来评估电离层闪烁对卫星导航系统的影响。众所周知,低纬度和高纬度地区的GPS接收机可能由于闪烁而遭受幅度和相位的快速波动和信号散射,从而导致双频和单频用户失去锁定和周期跳。闪烁对包括天基增强系统(SBAS)和地基增强系统(GBAS)在内的GPS增强服务提供商在受影响区域提供高概率的导航服务提出了挑战。近几十年来,人们进行了许多研究和数据分析,以了解闪烁对卫星导航系统用户的影响。一些重要的数据已经转化为建模和模拟工具,以帮助描述闪烁效应和世界范围的闪烁环境。
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引用次数: 1
Space qualified frequency sources (clocks) for current and future GNSS applications 用于当前和未来GNSS应用的空间合格频率源(时钟)
L. Mallette, Joey White, P. Rochat
Accurate and stable frequency reference sources are critical for commercial, navigation, military and scientific space applications. Several levels of frequency references are suitable for space applications. This paper discusses similarities and differences among single distributed oscillators for communications satellites, master oscillator groups for communications systems, and atomic clocks for military and navigation systems. This paper builds on reference [1] and broadly describes frequency sources on current and upcoming global navigation satellite systems (GNSS). The three current systems are the Global Navigation Satellite System (GLONASS), the Global Positioning System (GPS), and the Galileo system. The upcoming navigation systems are: China's Compass satellite positioning system, Japan's quasi-zenith satellite system (QZSS), India's regional navigation satellite system (IRNSS), GPS-IIF, and GPS-III.
准确和稳定的频率参考源对于商业、导航、军事和科学空间应用至关重要。有几个级别的频率参考适用于空间应用。本文讨论了通信卫星用单分布振荡器、通信系统用主振群、军事和导航系统用原子钟的异同。本文在文献[1]的基础上,对当前和未来全球导航卫星系统(GNSS)的频率源进行了广泛的描述。目前的三个系统是全球导航卫星系统(GLONASS)、全球定位系统(GPS)和伽利略系统。即将推出的导航系统是:中国的指南针卫星定位系统,日本的准天顶卫星系统(QZSS),印度的区域导航卫星系统(IRNSS), GPS-IIF和GPS-III。
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引用次数: 23
Integration of 3D and 2D imaging data for assured navigation in unknown environments 集成3D和2D成像数据,确保在未知环境中导航
Evan Dill, M. U. de Haag
This paper discusses the development of a novel navigation method that integrates three-dimensional (3D) point cloud data, two-dimensional (2D) digital camera data, and data from an Inertial Measurement Unit (IMU). The target application is to provide an accurate position and attitude determination of unmanned aerial vehicles (UAV) or autonomous ground vehicles (AGV) in any urban or indoor environments, during any scenario. In some urban and indoor environments, GPS signals are attainable and usable for these target applications, but this is not always the case. GPS position capability may not only be unavailable due to shadowing, significant signal attenuation or multipath, but also due to intentional denial or deception. In these scenarios where GPS is not a viable, or reliable option, a system must be developed that compliments GPS and works in the environments where GPS encounters problems. The proposed algorithm is an effort to show one possible method that a complementary system to GPS could use. It extracts key features such as planar surfaces, lines, corners, and points from both the 3D (point-cloud) and 2D (intensity) imagery. Consecutive observations of corresponding features in the 3D and 2D image frames are then used to compute estimates of position and orientation changes. Since the use of 3D image features for positioning suffers from limited feature observability resulting in deteriorated position accuracies, and the 2D imagery suffers from an unknown depth when estimating the pose from consecutive image frames, it is expected that the integration of both data sets will alleviate the problems with the individual methods resulting in a position and attitude determination procedure with a high level of assurance. An Inertial Measurement Unit (IMU) is used to set up the tracking gates necessary to perform data association of the features in consecutive frames. Finally, the position and orientation change estimates can be used to correct for and mitigate the IMU drift errors.
本文讨论了一种集成三维(3D)点云数据、二维(2D)数码相机数据和惯性测量单元(IMU)数据的新型导航方法的发展。目标应用是在任何场景下,在任何城市或室内环境中为无人驾驶飞行器(UAV)或自主地面车辆(AGV)提供准确的位置和姿态测定。在一些城市和室内环境中,GPS信号可用于这些目标应用,但情况并非总是如此。GPS定位能力不仅可能由于阴影、显著的信号衰减或多径而不可用,而且还可能由于故意拒绝或欺骗而不可用。在GPS不可行或不可靠的情况下,必须开发一种系统来补充GPS,并在GPS遇到问题的环境中工作。所提出的算法是为了展示一种与GPS互补系统可以使用的可能方法。它从3D(点云)和2D(强度)图像中提取关键特征,如平面、线、角和点。然后使用对三维和二维图像帧中相应特征的连续观测来计算位置和方向变化的估计。由于使用3D图像特征进行定位存在特征可观察性有限导致位置精度下降的问题,并且2D图像在从连续图像帧估计姿态时存在未知深度的问题,因此预计两种数据集的集成将缓解单个方法的问题,从而产生具有高水平保证的位置和姿态确定过程。惯性测量单元(IMU)用于设置跟踪门,以便在连续帧中执行特征的数据关联。最后,利用位置和方向变化估计来修正和减轻IMU漂移误差。
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引用次数: 7
Nominal GNSS pseudorange measurement model for vehicular urban applications 车用城市GNSS伪距测量模型
D. Salos, C. Macabiau, Anaïs Martineau, B. Bonhoure, D. Kubrak
Certain GNSS applications conceived for road users in urban scenarios must meet some particular integrity requirements to assure the system safety, reliability or credibility. For instance, GNSS-based Road User Charging is one of these applications that recently has attracted special interest. A correct design of such applications needs the knowledge of the GNSS error distribution. Furthermore, the GNSS error model should have been built with overbounding techniques. The user is a vehicle equipped with a GNSS receiver that may track different signals of various systems (GPS, Galileo, SBAS), in a single-or dual-frequency configuration. The different error sources contributing to the total pseudorange error are identified, analyzed and modeled, using overbounding techniques when necessary. Finally the pseudorange measurement error model is obtained and analyzed for different receiver configurations.
为城市场景中的道路使用者设计的某些GNSS应用必须满足某些特定的完整性要求,以确保系统的安全性、可靠性或可信度。例如,基于gnss的道路用户收费是最近引起特别关注的应用之一。正确设计此类应用需要了解GNSS误差分布。此外,GNSS误差模型应该用过界技术建立。用户是配备GNSS接收器的车辆,该接收器可以在单频或双频配置中跟踪各种系统(GPS、伽利略、SBAS)的不同信号。在必要时使用过边界技术,识别、分析和建模导致总伪距误差的不同误差源。最后给出了伪距测量误差模型,并对不同接收机配置下的误差进行了分析。
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引用次数: 25
Coarse alignment based on IMU rotational motion for Surface Ship 基于IMU旋转运动的水面舰艇粗对准
F. Sun, Wei Sun, Lin Wu
Advanced development of Strapdown Inertial Navigation System (SINS) using Inertial Measurement Unit (IMU) rotational motion technology is described. The purpose of this project is to determine the feasibility of averaging out the inertial component bias in order to improve the accuracy of alignment. The traditional method of ground coarse alignment, which based on the assumption that SINS is on a stationary carrier limited the IMU's rotation, therefore cannot be used to perform the Surface Ship coarse alignment based on IMU rotational motion. The novel method using the gravity in the inertial frame as a reference for Surface Ship alignment with IMU rotary motion is detailed in this article. The proposed coarse alignment method was applied on simulation and turntable-test. The results showed that the attitude determined by this novel method can meet the accuracy requirement of coarse alignment and it can be used as the input of fine alignment.
介绍了采用惯性测量单元(IMU)旋转运动技术的捷联惯性导航系统(SINS)的发展现状。该项目的目的是确定平均惯性分量偏差的可行性,以提高对准精度。传统的地面粗对准方法基于捷联惯导系统在静止载体上的假设,限制了IMU的旋转,因此不能用于基于IMU旋转运动的水面舰艇粗对准。本文详细介绍了利用惯性系中的重力作为参考来实现水面舰艇IMU旋转运动对准的新方法。将所提出的粗对准方法应用于仿真和转台试验。结果表明,该方法确定的姿态既能满足粗对准的精度要求,又可作为精细对准的输入。
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引用次数: 16
期刊
IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium
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