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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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Integration of GPS and vision measurements for navigation in GPS challenged environments GPS和视觉测量在GPS挑战环境下导航的集成
A. Soloviev, D. Venable
This paper investigates into the feasibility of a combined use of Global Positioning System (GPS) and vision-based measurements for navigation in challenged GPS environments such as urban canyons and indoors. In these environments, a GPS-only navigation solution fix is generally not feasible. However, limited GPS measurements (for example, for two or three satellites) may still be available. These limited measurements can be exploited to enhance the efficacy of alternative navigation aids such as vision-aided inertial. This paper presents a method for the combination of limited GPS carrier phase measurements with features that are extracted from images of a monocular video camera. An integrated GPS/vision solution estimates position changes and orientation of the camera's body-frame; and, initializes ranges to vision-based features. Simulation results and initial experimental results are presented to validate the proposed integration method and demonstrate its performance.
本文研究了全球定位系统(GPS)和基于视觉的测量在城市峡谷和室内等GPS挑战环境下结合使用导航的可行性。在这些环境中,仅使用gps导航解决方案通常是不可行的。然而,有限的GPS测量(例如,两颗或三颗卫星)可能仍然可用。可以利用这些有限的测量来提高替代导航辅助设备的效率,例如视觉辅助惯性导航。本文提出了一种将有限GPS载波相位测量与从单目摄像机图像中提取的特征相结合的方法。集成的GPS/视觉解决方案估计相机机身框架的位置变化和方向;并且,将范围初始化为基于视觉的特征。仿真结果和初步实验结果验证了该方法的有效性。
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引用次数: 43
Performances comparison of different MEMS-based IMUs 不同mems imu的性能比较
M. De Agostino, A. Manzino, M. Piras
MEMS inertial sensors are widely used for navigation applications where size, weight, power and cost are key sides, such as autonomous vehicular control and pedestrian navigation. Otherwise, if there is no doubt that MEMS technologies represents an interesting turning point for low cost inertial-based sensors and applications, nevertheless it is absolutely true that, in order to obtain good positioning accuracies, it is necessary to investigate very well the behaviour of these MEMS sensors and realize special test calibrations, both in static and kinematic conditions. In order to evaluate the potentialities (and the limits) of these sensors, comparative tests have been realized considering MEMS inertial sensors with different characteristics and different performances, First of all, a static calibration of the sensors has been made, in order to compare the bias values and their stability with respect to the time. In particular, an Allan-variance analysis and a modified six position static test were carried out for each sensor, preserving carefully the same environment conditions for all the tests. After the lab tests, the performances of all the sensors were compared in a field kinematic test, integrating their data with a GPS solution.
MEMS惯性传感器广泛用于尺寸、重量、功率和成本是关键方面的导航应用,例如自动驾驶车辆控制和行人导航。否则,如果毫无疑问,MEMS技术代表了低成本的基于惯性的传感器和应用的一个有趣的转折点,然而,这是绝对正确的,为了获得良好的定位精度,有必要很好地研究这些MEMS传感器的行为,并在静态和运动条件下实现特殊的测试校准。为了评估这些传感器的潜力(和局限性),考虑了不同特性和不同性能的MEMS惯性传感器,进行了对比测试。首先,对传感器进行了静态校准,比较了传感器的偏差值及其随时间的稳定性。特别地,对每个传感器进行了艾伦方差分析和改进的六位置静态测试,仔细地为所有测试保持相同的环境条件。在实验室测试后,在现场运动学测试中比较了所有传感器的性能,并将其数据与GPS解决方案相结合。
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引用次数: 45
Measurement error models and fault-detection algorithms for multi-constellation navigation systems 多星座导航系统测量误差模型及故障检测算法
M. Joerger, J. Neale, B. Pervan, S. Datta‐Barua
The integration of ranging signals from multiple satellite constellations opens the possibility for rapid, robust and accurate positioning over wide areas. Algorithms for the simultaneous estimation of carrier phase cycle ambiguities and user position and for the detection of faults over a fixed smoothing time-interval were derived in previous work. For high-integrity precision applications, ensuring the robustness of measurement error and fault-models is an exacting task, especially when considering sequences of observations. In this research, a new RAIM-based approach is established, which aims at directly determining the worst-case single-satellite fault profile. Also, the robustness of newly derived ionospheric error models is experimentally evaluated using dual-frequency GPS data collected over several months at multiple locations. An integrity analysis is devised to quantify the impact of traveling ionospheric disturbances (TIDs) on the final user position solution. Finally, overall navigation system performance is assessed for various combinations of GPS, Galileo and low earth orbiting Iridium satellite signals.
来自多个卫星星座的测距信号的集成为在广阔区域内快速、稳健和准确定位提供了可能。在以前的工作中,推导了同时估计载波相位周期模糊度和用户位置以及在固定平滑时间间隔内检测故障的算法。对于高完整性精度应用,确保测量误差和故障模型的鲁棒性是一项艰巨的任务,特别是在考虑观测序列时。本文建立了一种新的基于ram的方法,旨在直接确定最坏情况下的单星故障剖面。此外,利用在多个地点收集的几个月的双频GPS数据,对新导出的电离层误差模型的鲁棒性进行了实验评估。设计了一个完整性分析来量化电离层扰动(TIDs)对最终用户位置解的影响。最后,对GPS、伽利略和低地球轨道铱星信号的各种组合进行了总体导航系统性能评估。
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引用次数: 11
High integrity stochastic modeling of GPS receiver clock for improved positioning and fault detection performance GPS接收机时钟的高完整性随机建模,以提高定位和故障检测性能
Fang-Cheng Chan, M. Joerger, B. Pervan
In this paper, a validated stochastic clock random error model is used to derive a correct time correlation matrix for a sequence of clock random errors. A batch estimator incorporating the complete time correlation matrix is developed to account for clock random errors. Performance improvement for the proposed receiver clock-aided navigation system is fully investigated. A benchmark application of an aircraft precision approach is used to evaluate the system availability performance with a single satellite failure assumption.
本文利用一个经过验证的随机时钟随机误差模型,推导出时钟随机误差序列的正确时间相关矩阵。提出了一种包含完整时间相关矩阵的批估计器来考虑时钟随机误差。对接收机时钟辅助导航系统的性能改进进行了全面的研究。采用飞机精度方法的基准应用,在单颗卫星故障假设下对系统可用性性能进行评估。
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引用次数: 15
Tightly-coupled image-aided inertial relative navigation using Statistical Predictive Rendering (SPR) techniques and a priori world Models 基于统计预测渲染技术和先验世界模型的紧密耦合图像辅助惯性相对导航
Major J. Beich, Col M. Veth
Autonomous navigation in areas where Global Positioning System (GPS) solutions are unavailable continues to be a significant challenge. One example application is the relative targeting and navigation problem for next-generation autonomous vehicles. In this application, refined navigation state information (position, velocity, and attitude) can be determined with the addition of a high-resolution camera to an Inertial Navigation System (INS)-aided navigation system. In the proposed employment scenario, GPS information is not available, the location and structure of a reference landmark is known to a high degree of precision, and the initial navigation states (along with their respective uncertainties) of the vehicle are known to a variable degree of uncertainty. The landmark environment is modeled in advance using commercially available Computer Aided Design (CAD) software and photographs of objects within the scene. This information is intended to be combined with INS data in a statistically-rigorous predictive rendering algorithm to determine error states for implementation in an Unscented Kalman Filter (UKF). The error states are then used to correct the navigation solution. Several methods of exploiting the available information are compared to determine “best performers” in terms of speed, precision, and situational appropriateness. For this research, all methods are based on a proposed Statistical Predictive Rendering (SPR) technique which consists of constructing synthetic views of the scene from the perspective of the vehicle for comparison with actual images from the on-board camera. This predictively-rendered image is then compared to measured images using either feature-based or pixel-based comparison methods which serve to improve the accuracy of the correspondence search technique employed. Vision-aided navigation solutions are an active area of research that incorporates knowledge from the estimation, image processing, and navigation fields of engineering. Past efforts have focused on stochastically constraining feature point correspondence in successive images of the ground from the perspective of an overflying air vehicle using an Extended Kalman Filter (EKF) or UKF, and SPR in the problem of autonomous aerial refueling using an EKF. The proposed algorithm elements are tested using a combination of experimental and simulated data. Currently, the simulated flight profiles show that the navigation solution accuracy and robustness is improved by including SPR-based visual information into the tightly coupled framework. Further experimental tests will be conducted in our laboratory using realistic scenes and in-flight as part of a Test Pilot School project. Conclusions regarding the performance of the tightly-coupled SPR technique will be presented.
在全球定位系统(GPS)解决方案不可用的地区,自主导航仍然是一个重大挑战。一个例子是下一代自动驾驶汽车的相对定位和导航问题。在这个应用中,精确的导航状态信息(位置、速度和姿态)可以通过在惯性导航系统(INS)辅助导航系统中添加一个高分辨率相机来确定。在建议的使用场景中,GPS信息不可用,参考地标的位置和结构具有高精度,并且车辆的初始导航状态(以及它们各自的不确定性)具有不同程度的不确定性。地标性环境是预先使用商用计算机辅助设计(CAD)软件和场景中物体的照片进行建模的。该信息旨在与INS数据结合在统计严格的预测呈现算法中,以确定在Unscented卡尔曼滤波器(UKF)中实现的错误状态。然后使用错误状态来纠正导航解决方案。对几种利用可用信息的方法进行比较,以确定在速度、精度和情境适当性方面的“最佳执行者”。在本研究中,所有方法都基于一种提出的统计预测渲染(SPR)技术,该技术包括从车辆角度构建场景的合成视图,以便与车载相机的实际图像进行比较。然后使用基于特征或基于像素的比较方法将该预测渲染图像与测量图像进行比较,以提高所采用的对应搜索技术的准确性。视觉辅助导航解决方案是一个活跃的研究领域,它融合了来自工程估计、图像处理和导航领域的知识。过去的努力主要集中在使用扩展卡尔曼滤波(EKF)或UKF从飞越飞行器的角度随机约束地面连续图像中的特征点对应,以及使用EKF在自主空中加油问题中的SPR。采用实验和模拟数据相结合的方法对所提出的算法元素进行了测试。目前,仿真飞行廓线表明,将基于视觉信息的spr纳入到紧耦合框架中,提高了导航解的精度和鲁棒性。作为试飞员学校项目的一部分,将在我们的实验室使用真实场景和飞行中进行进一步的实验测试。关于紧密耦合SPR技术性能的结论将被提出。
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引用次数: 6
Analysis and evaluation of MEMS INS/GNSS hybridization for commercial aircraft and business jets 商用飞机和公务机的MEMS INS/GNSS杂交分析与评价
M. Steen, P. Schachtebeck, Marita Kujawska, P. Hecker
The rapid evolution of inertial Micro-Electro-Mechanical System (MEMS) sensors offers the opportunity to replace expensive conventional Air Data Inertial Reference Units (ADIRU) in future aircraft navigation systems. Particularly with the advent of modernized GNSS and multi-constellation systems, the expected performances of future GNSS-aided Attitude and Heading Reference Systems (G-AHRS) are supposed to satisfy the current requirements. Since MEMS exhibit limitations in their accuracy nowadays, detailed investigations are needed to evaluate the possibility of using them within G-AHRS and also for navigation in the short, mid or long term. This papers deals with the usability of MEMS sensors with current and expected future performance. This evaluation was done based on real flight test data and simulation of future MEMS sensors. While current MEMS cannot completely fulfill all needed requirements, future sensors are expected to satisfy them.
惯性微机电系统(MEMS)传感器的快速发展为在未来的飞机导航系统中取代昂贵的传统空气数据惯性参考单元(ADIRU)提供了机会。特别是随着现代化GNSS和多星座系统的出现,未来GNSS辅助姿态和航向参考系统(G-AHRS)的预期性能应该满足当前的要求。由于MEMS目前在精度方面存在局限性,因此需要进行详细的调查,以评估在G-AHRS中使用它们以及在短期,中期或长期导航中的可能性。本文讨论了MEMS传感器的可用性,以及当前和预期的未来性能。该评估是基于真实飞行试验数据和未来MEMS传感器的仿真进行的。虽然目前的MEMS不能完全满足所有需要的要求,但未来的传感器有望满足这些要求。
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引用次数: 4
An innovative multipath mitigation method using coupled amplitude delay lock loops in GNSS receivers 一种利用GNSS接收机中耦合幅度延迟锁环的创新多径缓解方法
Xin Chen, F. Dovis, M. Pini
In this paper a novel multipath mitigation architecture for satellite navigation receiver, named Coupled Amplitude Delay Lock Loops (CADLL) is presented. This architecture exploits the “turbo principle” to separately track the Line Of Sight (LOS) signal and multipath signals in order to mitigate the effects of the multiple reflections. The Delay Lock Loop (DLL) and the Amplitude Lock Loop (ALL) are two basic elements in the structure. DLL is in charge of estimating and tracking the code delay of a specific ray in the incoming signal while ALL is in charge of estimating the corresponding amplitude. A pair of DLL and ALL makes a Unit, devoted to track LOS or a multipath signal. Several Units are incorporated in the CADLL structure, that is then able to track the different component rays from the overall incoming signal, and wiping them off from the received signal. The feedback architecture of the CADLL boosts the performance of the estimation and wipe-off process. CADLL is shown to have good performance in terms of accuracy of estimating and tracking LOS and multipath as well as the robustness to cope with severe multipath scenario.
本文提出了一种新的卫星导航接收机多径抑制结构——耦合幅度延迟锁环(CADLL)。该架构利用“涡轮原理”分别跟踪视线(LOS)信号和多径信号,以减轻多重反射的影响。延迟锁环(DLL)和幅度锁环(ALL)是该结构中的两个基本元素。DLL负责估计和跟踪输入信号中特定射线的码延迟,ALL负责估计相应的幅度。一对DLL和ALL组成一个单元,专门用于跟踪LOS或多径信号。CADLL结构中包含了几个单元,这样就能够跟踪来自整体输入信号的不同分量射线,并将它们从接收信号中清除。CADLL的反馈结构提高了估计和擦除过程的性能。CADLL算法在LOS和多路径的估计和跟踪精度以及对严重多路径场景的鲁棒性方面都具有良好的性能。
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引用次数: 20
Evaluating tracking performance and a new carrier-to-noise estimation method using SNACS 跟踪性能评估及基于SNACS的载波噪声估计新方法
F. Schubert, T. Jost, P. Robertson, R. Prieto-Cerdeira, B. Fleury
Multipath propagation is still one of the main error sources for many GNSS applications. The introduction of new GNSS signals of Galileo and the modernized GPS, for example, will provide higher signal bandwidths which alleviate the disruptive effects of multipath propagation. To study the influences of highly time-variant channels on GNSS tracking performance, simulations of various environments and signal combinations have to be considered. Many signal studies are based on correlation function simulation techniques. Yet to simulate GNSS signal processing with respect to multipath channels, the time-domain simulation approach serves as the most realistic and accurate but also as the most complex and computationally demanding method. This paper presents the further development of the time-domain GNSS simulation tool SNACS and its extension with additional modulations and GNSS coding schemes. Furthermore, a newly developed loss-of-lock detection method is presented and its performance is evaluated using SNACS.
多径传播仍然是许多GNSS应用的主要误差源之一。例如,引入新的伽利略全球导航卫星系统信号和现代化的GPS将提供更高的信号带宽,从而减轻多径传播的破坏性影响。为了研究高时变信道对GNSS跟踪性能的影响,必须考虑各种环境和信号组合的仿真。许多信号研究都是基于相关函数仿真技术。然而,对于多径信道的GNSS信号处理仿真,时域仿真方法是最真实、最准确的方法,但也是最复杂、计算量最大的方法。本文介绍了时域GNSS仿真工具SNACS的进一步发展及其附加调制和GNSS编码方案的扩展。此外,提出了一种新的锁失检测方法,并利用SNACS对其性能进行了评价。
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引用次数: 3
A differential post detection technique for two steps GNSS signal acquisition algorithm 两步GNSS信号采集算法的差分后检测技术
K. Sun, L. Presti
In this paper, the problem of acquiring weak Global Navigation Satellite System (GNSS) signals of the next generation systems (such as Galileo and GPS modernization) is addressed and analyzed, focusing the majority of the attention to the problem of managing the higher sign reversal transition rate due to the navigation message in the data channel and to the secondary code in the pilot channel. It must be considered that in case of Galileo E1 Open Service (OS) signals, in each period of the primary spreading code the presence of a potential bit sign reversal can reduce the correlation gain. Moreover, the sign transition occurred on the block of samples being processed produces a Cross Ambiguity Function (CAF) peak splitting along the Doppler shift axis of the search space matrix constructed during the acquisition stage and it may lead to a wrong Doppler estimate. Here, a new two steps acquisition strategy has been proposed in order to mitigate the CAF peak impairments. To circumvent the limitations of the conventional acquisition approaches, differentially coherent detection scheme has been considered to achieve better acquisition sensitivity for a fixed signal-to-noise ratio (SNR). When two steps acquisition strategy is employed in the differentially coherent detection scheme, the bit sign transition problem can be solved and much improved acquisition sensitivity can be obtained specifically in a severe weak signal environment. The validity and effectiveness of the proposed two steps differentially coherent acquisition technique will be deeply assessed with simulation campaigns in terms of detection and false alarm rates, which will be presented by means of Receiver Operating Characteristic (ROC) curves in comparison with the state-of-the-art acquisition approaches.
本文对下一代系统(如伽利略和GPS现代化)中微弱的全球导航卫星系统(GNSS)信号的获取问题进行了解决和分析,重点关注了由于数据信道中的导航电文和导频信道中的辅助码而导致的较高的符号反转转换率的管理问题。必须考虑到,在伽利略E1开放服务(OS)信号的情况下,在主扩频码的每个周期中,潜在的位符号反转的存在会降低相关增益。此外,在被处理的样本块上发生的符号转移会沿着采集阶段构建的搜索空间矩阵的多普勒频移轴产生交叉模糊函数(CAF)峰分裂,可能导致错误的多普勒估计。本文提出了一种新的两步获取策略,以减轻CAF峰值损害。为了克服传统采集方法的局限性,差分相干检测方案在固定信噪比(SNR)下获得了更好的采集灵敏度。差分相干检测方案采用两步采集策略,解决了位符号转换问题,在微弱信号环境下的采集灵敏度明显提高。所提出的两步差分相干采集技术的有效性和有效性将通过模拟活动在检测率和虚警率方面进行深入评估,这将通过接收者工作特征(ROC)曲线与最先进的采集方法进行比较。
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引用次数: 14
Using single-camera geometry to perform gyro-free navigation and attitude determination 使用单相机几何进行无陀螺仪导航和姿态确定
Zhen Zhu, S. Bhattacharya, M. Uijt de Haag, W. Pelgrum
This paper focuses on using an image-based optical sensor (e.g. a digital camera) to estimate relative position and attitude without the explicit dependence on Inertial measurement Unit (IMU) gyro measurements, thus, avoiding sensitivities to gyro drift errors. The method uses a priori known point features and is an alternative to existing resection methods used in photogrammetry that can be easily integrated with previously developed tight optical integration (TOI) method. The key principle involved in this approach is the application of geometric constraints derived from multiple point features and multiple views. The envisioned application of this method is cooperative urban navigation, for ground and airborne vehicles.
本文的重点是使用基于图像的光学传感器(如数码相机)来估计相对位置和姿态,而不显式依赖于惯性测量单元(IMU)的陀螺测量,从而避免了对陀螺漂移误差的敏感性。该方法使用先验已知的点特征,是现有摄影测量中使用的切除方法的替代方法,可以很容易地与先前开发的紧密光学集成(TOI)方法集成。该方法的关键原理是应用由多点特征和多视图导出的几何约束。该方法的预期应用是地面和机载车辆的协同城市导航。
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引用次数: 3
期刊
IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium
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