Relevant bibliographies by topics / Assisted GNSS

Academic literature on the topic 'Assisted GNSS'

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Published: 14 March 2023

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Journal articles on the topic "Assisted GNSS"

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Cheng, Li, Yonghong Dai, Wenfei Guo, and Jiansheng Zheng. "Structure and Performance Analysis of Signal Acquisition and Doppler Tracking in LEO Augmented GNSS Receiver." Sensors 21, no. 2 (January 13, 2021): 525. http://dx.doi.org/10.3390/s21020525.

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Due to the low signal power, the Global Navigation Satellite System (GNSS) signal is vulnerable to interference and even cannot be captured or tracked in harsh environments. As an alternative, the Low Earth Orbit (LEO) satellite has been widely used in the navigation field due to the advantages of low cost and strong signals. It is becoming a significant component of the new combined navigation system with GNSS. The combination of an LEO Doppler signal and GNSS observables can improve the positioning accuracy and high-precision positioning convergence time of the GNSS receiver. However, the GNSS signal receiving capability cannot be improved from this data fusion level. We propose a novel assisted structure where GNSS signal acquisition and Doppler tracking are assisted by LEO Doppler positioning. The receiver uses the LEO signal to achieve Doppler positioning firstly. Then, the coarse position with the GNSS navigation messages received from LEO, as well as the estimated clock information, is used to assist in the acquisition and tracking of GNSS. In this way, the GNSS receiver’s sensitivity can get the benefit from this integrated system. The paper presents the structure of the assisted receiver and analyzes the assisted GNSS signal acquisition and carrier tracking performance in detail. Simulation experiments of this assisted structure are carried out to verify its superiority of acquisition and tracking sensitivity in comparison with standalone GNSS receivers. Theoretical analysis and experimental results show that the proposed acquisition method can achieve 90% detection probability at a carrier-to-noise ratio (C/N0) of 15 dB-Hz, which is about 8 dB higher than the conventional acquisition method without assistance; the proposed tracking method can track weak signals of 5 dB-Hz, which is about 4 dB higher than the conventional method. Therefore, this novel LEO-assisted receiver has significantly improved weak signal acquisition and tracking sensitivity.
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Partsinevelos, Panagiotis, Dimitrios Chatziparaschis, Dimitrios Trigkakis, and Achilleas Tripolitsiotis. "A Novel UAV-Assisted Positioning System for GNSS-Denied Environments." Remote Sensing 12, no. 7 (March 27, 2020): 1080. http://dx.doi.org/10.3390/rs12071080.

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Global Navigation Satellite Systems (GNSS) are extensively used for location-based services, civil and military applications, precise time reference, atmosphere sensing, and other applications. In surveying and mapping applications, GNSS provides precise three-dimensional positioning all over the globe, day and night, under almost any weather conditions. The visibility of the ground receiver to GNSS satellites constitutes the main driver of accuracy for GNSS positioning. When this visibility is obstructed by buildings, high vegetation, or steep slopes, the accuracy is degraded and alternative techniques have to be assumed. In this study, a novel concept of using an unmanned aerial system (UAS) as an intermediate means for improving the accuracy of ground positioning in GNSS-denied environments is presented. The higher elevation of the UAS provides a clear-sky visibility line towards the GNSS satellites, thus its accuracy is significantly enhanced with respect to the ground GNSS receiver. Thus, the main endeavor is to transfer the order of accuracy of the GNSS on-board the UAS to the ground. The general architecture of the proposed system includes hardware and software components (i.e., camera, gimbal, range finder) for the automation of the procedure. The integration of the coordinate systems for each payload setting is described, while an error budget analysis is carried out to evaluate and identify the system’s critical elements along with the potential of the proposed method.
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Huang, Bin, Zheng Yao, Xiaowei Cui, and Mingquan Lu. "Angle-of-Arrival Assisted GNSS Collaborative Positioning." Sensors 16, no. 6 (June 20, 2016): 918. http://dx.doi.org/10.3390/s16060918.

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Hochegger, G., and R. Leitinger. "Model assisted inversion of GNSS occultation data." Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary Science 26, no. 5 (January 2001): 325–30. http://dx.doi.org/10.1016/s1464-1917(01)00007-1.

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Roncella, R., G. Forlani, and F. Diotri. "A MONTE CARLO SIMULATION STUDY ON THE DOME EFFECT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 53–60. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-53-2021.

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Abstract. A dome-shape deformation has been found to affect the photogrammetric surface reconstruction in several real and simulated experiments. Its origin has been recognised in inaccurate estimation of the camera parameters and many papers already concentrated on conditions to avoid its development, especially as far as block design is concerned. This paper presents a Monte Carlo simulation to investigate surface reconstruction elevation errors in UAV (Unmanned Aerial Vehicle) photogrammetric blocks. The simulation tests are designed to find out the effect of block shape, camera axis inclination, side-lap, cross strips addition and block control by GCP or GNSS-assisted on the extent of the deformations. The main findings are: i) that GNSS-assisted blocks are generally more robust compared to GCP-controlled ones; ii) that, in GNSS-assisted blocks, unless a mix of nadiral and inclined strips is present, at least one fixed GCP must be provided; iii) that cross strip can conveniently be slimmed to save flight time and processing time; iv) that the effectiveness of GNSS deteriorate as the block shape slims out.
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Li, Binghao, Jiahuang Zhang, Andrew G. Dempster, and Chris Rizos. "Open Source GNSS Reference Server for Assisted-Global Navigation Satellite Systems." Journal of Navigation 64, no. 1 (November 26, 2010): 127–39. http://dx.doi.org/10.1017/s037346331000038x.

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Assisted-Global Navigation Satellite Systems (A-GNSS), or Assisted-Global Positioning Systems (A-GPS) in particular, are now commonly accepted as an effective way to reduce the time-to-first-fix (TTFF) in GNSS-unfriendly environments, e.g. in areas of weak GNSS signals. Today's location-based service (LBS) devices such as GPS-enabled mobile phones and personal digital assistants (PDA) rely on A-GPS; however, such commercial devices are equipped with an integrated A-GPS chip that makes customisation very difficult. The Open Source GNSS Reference Server (OSGRS) provided by the University of New South Wales is an open source Java application that can generate the necessary data for A-GPS clients. The GNSS Reference Interface Protocol (GRIP), based on extensible mark-up language (XML), is employed as the OSGRS interface protocol. This paper describes the current status of OSGRS: a client simulator is available open-source; client software which supports four different types of A-GPS-enabled receivers has been developed and used to test OSGRS. The performance of the OSGRS is analysed based on intensive tests. The challenges for OSGRS and future work are also discussed.
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Shen, Wei, Zhisong Yang, Chaoyu Yang, and Xin Li. "A LiDAR SLAM-Assisted Fusion Positioning Method for USVs." Sensors 23, no. 3 (February 1, 2023): 1558. http://dx.doi.org/10.3390/s23031558.

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Confronted with unmanned surface vessel (USV) operations where GNSS signals are unavailable due to obscuration and other factors, a LiDAR SLAM-assisted fusion positioning method for USVs is proposed to combine GNSS/INS positioning with LiDAR-SLAM. When the USV works in wide-open water, the carrier phase differential GNSS/INS loosely coupled integration strategy is applied to fuse and calibrate the positioning data, and the positioning information of the USV is obtained through the coordinate conversion process. The system uses a dynamic switching strategy to enter to LiDAR-SLAM positioning when GNSS signals are not available, compensating the LiDAR data with precise angle information to ensure accurate and stable positioning. The experiments show that compared with the traditional Kalman filter and adaptive Kalman filter fusion algorithms, the positioning error is reduced by 55.4% and 43.5%. The velocity error is also limited by 78.2% and 57.9%. The standard deviation and the root mean square error are stable within 0.1 m, indicating that our method has better data stability, while the probability of positioning anomaly is effectively controlled.
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Ye, Ping, Xing Qun Zhan, and Gang Du. "INS-Assisted GNSS Signal Tracking Modeling and Assessment." Advanced Materials Research 271-273 (July 2011): 603–8. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.603.

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To improve the tracking performance of GNSS receiver in signal-attenuated environments, phase lock loop (PLL) and delay lock loop (DLL) assisted with Inertial Navigation System (INS) measurements are considered. Combining inertial navigation principles with signal processing, this paper proposes a simplified but efficient mathematical model of INS-assisted second-order tracking loops. Compared with unaided GNSS receiver, the tracking behavior of INS-assisted receiver is quantitatively analyzed, and the kind of INS suitable to guarantee the tracking condition is determined. The results indicate that an INS with 1 deg/h gyro drift is necessary to support PLL, and MEMS inertial sensor with 100 deg/h gyro drift is sufficient to aid DLL to keep favored tracking ability.
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Chang, Qiang, Qun Li, Hong Tao Hou, and Xiang Hui Zeng. "Peer-to-Peer Cooperative Positioning between GNSS Receivers." Applied Mechanics and Materials 341-342 (July 2013): 614–20. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.614.

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Global navigation satellite system (GNSS)-like the Global Positioning System (GPS) and the future Chinese Beidou system-can deliver very good position estimates under optimum conditions. However, especially in critical positioning scenarios like urban canyons or indoor environments the performance loss would be very high or GNSS based positioning is even not possible. Based on the concept of Cooperative Positioning in acquiring real-time positioning information of mobile robots, GNSS Peer-to-Peer Cooperative Positioning (P2P-CP) technology is proposed to overcome the shortage of GNSS positioning. Terrestrial ranging and communication modular are equipped with GNSS receivers to construct real-time CP network. The terrestrial ranging and communication modular respectively used for distance measurement and communication between nearby GNSS receivers, distributed algorithms are applied to fuse pseudorange and neighbors nodes distance to calculate the nodes position. Current research results of GNSS CP show that this new positioning strategy gets equal or better precision with less time cost compared with Assisted GNSS (AGNSS).
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Ioli, F., L. Pinto, and F. Ferrario. "LOW-COST DGPS ASSISTED AERIAL TRIANGULATION FOR SUB-DECIMETRIC ACCURACY WITH NON-RTK UAVS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 25–32. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-25-2021.

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Abstract. The possibility of equipping UAVs with lightweight GNSS receivers in order to estimate the camera position within a photogrammetric block allows for a reduction of the number of Ground Control Points (GCP), saving time during the field work and decreasing operational costs. Additionally, this makes it possible to build photogrammetric models even in morphologically complex areas or in emergency situations. This work is proposing a non-intrusive and low-cost procedure to retrieve the coordinates of the camera projection centre with decimetric accuracy. The method was designed and tested with the quadcopter DJI Matrice 210 V2 drone equipped with a DJI ZENMUSE X5S camera and an Emlid reach M, a low-cost, single-frequency (L1) GNSS receiver. GNSS observations are post-processed in PPK in order to obtain the UAV trajectory. Synchronization between the camera and the GNSS receiver is achieved by looking at the camera triggering timestamps in flight telemetry data, without requiring an electronic connection between camera and the GNSS that may be troublesome with commercial UAVs. Two surveys were carried out, respectively to calibrate and validate the procedure. The validation test evidenced the possibility of obtaining the coordinates of the camera projection centres with decimetric accuracy. The centre of projections can then be employed for GNSS-assisted aerial triangulation as input of the bundle block adjustment. Provided that at least one GCP is used, it is possible to reach centimetric accuracy on the ground.
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Dissertations / Theses on the topic "Assisted GNSS"

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Couronneau, Nicolas. "Performance analysis of assisted-GNSS receivers." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/254273.

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The goal of this thesis is to improve the understanding of the performance of Global Navigation Satellite System (GNSS) receivers that use assistance data provided by cellular networks. A typical example of such a receiver is a mobile phone including a Global Positioning System (GPS) receiver. Using assistance data such as an accurate estimate of the GPS system time is known to improve the availability and the time-tofirst- fix performance of a GNSS receiver. However, the performance depends on the architecture of the cellular network and may vary significantly across networks. This thesis presents three new contributions to the performance analysis of assisted-GNSS receivers in cellular networks. I first introduce a mathematical framework that can be used to calculate a theoretical lower bound of the time-to-first-fix (TTFF) in an assisted-GNSS receiver. Existing methods, for example the flow-graph method, generally focus on calculating the theoretical mean acquisition time of a pseudo-noise signal for one satellite only. I extend these methods to calculate the full probability distribution of the joint acquisition of several satellites, as well as the sequential acquisition of satellites, which is commonly performed in assisted receivers. The method is applied to real measurements made in a multipath fading channel. I next consider time assistance in unsynchronised cellular networks. It is often argued that unsynchronised networks can not provide fine-time aiding since they do not have a common clock, although few experimental results have been reported in the existing literature. I carried out experiments on a GSM network, a second-generation cellular network, in Cambridge, UK, in order to measure the time stability of the synchronisation signals. The results showed a large variability in the time stabilities across different base stations and I evaluated the performance of an ensemble filter that combines the measurements into a single, more accurate, estimate of the universal time. The main contribution is to show that the performance of such a filter is adequate to provide fine-time assistance to a satellite navigation receiver. Finally, I address the positioning performance of an assisted receiver in synchronised cellular networks. Cellular positioning has been often investigated in the literature, but few results on real networks have been presented. Many positioning methods are proprietary and little information about their performance in real networks haven been published publicly. A CDMA2000 cellular network in Calgary, Canada, was used to collect experimental data. The time stability and the synchronisation of the CDMA2000 pilot signals were excellent and were used to evaluate the performance of CDMA2000-based cellular positioning system. I then developed a method to combine the pseudo-range measurements from the GPS signals and the CDMA2000 base stations. I evaluated the performance of positioning in both outdoor and indoor environments, and I analysed the effects and the possible mitigation of non-line-of-sight signals. The main contribution is to show that additional satellite navigation signals can improve the accuracy of cellular positioning beyond what is theoretically expected from the improvement in the geometry.
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(6114419), Tian Zhou. "ALTERNATIVE METHODOLOGIES FOR BORESIGHT CALIBRATION OF GNSS/INS-ASSISTED PUSH-BROOM HYPERSPECTRAL SCANNERS ON UAV PLATFORMS." Thesis, 2019.

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Low-cost unmanned aerial vehicles (UAVs) utilizing push-broom hyperspectral scanners are poised to become a popular alternative to conventional remote sensing platforms such as manned aircraft and satellites. In order to employ this emerging technology in fields such as high-throughput phenotyping and precision agriculture, direct georeferencing of hyperspectral data using onboard integrated global navigation satellite systems (GNSS) and inertial navigation systems (INS) is required. Directly deriving the scanner position and orientation requires the spatial and rotational relationship between the coordinate systems of the GNSS/INS unit and hyperspectral scanner to be evaluated. The spatial offset (lever arm) between the scanner and GNSS/INS unit can be measured manually. However, the angular relationship (boresight angles) between the scanner and GNSS/INS coordinate systems, which is more critical for accurate generation of georeferenced products, is difficult to establish. This research presents three alternative calibration approaches to estimate the boresight angles relating hyperspectral push-broom scanner and GNSS/INS coordinate systems. For reliable/practical estimation of the boresight angles, the thesis starts with establishing the optimal/minimal flight and control/tie point configuration through a bias impact analysis starting from the point positioning equation. Then, an approximate calibration procedure utilizing tie points in overlapping scenes is presented after making some assumptions about the flight trajectory and topography of covered terrain. Next, two rigorous approaches are introduced – one using Ground Control Points (GCPs) and one using tie points. The approximate/rigorous approaches are based on enforcing the collinearity and coplanarity of the light rays connecting the perspective centers of the imaging scanner, object point, and the respective image points. To evaluate the accuracy of the proposed approaches, estimated boresight angles are used for ortho-rectification of six hyperspectral UAV datasets acquired over an agricultural field. Qualitative and quantitative evaluations of the results have shown significant improvement in the derived orthophotos to a level equivalent to the Ground Sampling Distance (GSD) of the used scanner (namely, 3-5 cm when flying at 60 m).

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(9188615), Lisa Marie Laforest. "SPATIAL AND TEMPORAL SYSTEM CALIBRATION OF GNSS/INS-ASSISTED FRAME AND LINE CAMERAS ONBOARD UNMANNED AERIAL VEHICLES." Thesis, 2020.

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Unmanned aerial vehicles (UAVs) equipped with imaging systems and integrated global navigation satellite system/inertial navigation system (GNSS/INS) are used for a variety of applications. Disaster relief, infrastructure monitoring, precision agriculture, and ecological forestry growth monitoring are among some of the applications that utilize UAV imaging systems. For most applications, accurate 3D spatial information from the UAV imaging system is required. Deriving reliable 3D coordinates is conditioned on accurate geometric calibration. Geometric calibration entails both spatial and temporal calibration. Spatial calibration consists of obtaining accurate internal characteristics of the imaging sensor as well as estimating the mounting parameters between the imaging and the GNSS/INS units. Temporal calibration ensures that there is little to no time delay between the image timestamps and corresponding GNSS/INS position and orientation timestamps. Manual and automated spatial calibration have been successfully accomplished on a variety of platforms and sensors including UAVs equipped with frame and push-broom line cameras. However, manual and automated temporal calibration has not been demonstrated on both frame and line camera systems without the use of ground control points (GCPs). This research focuses on manual and automated spatial and temporal system calibration for UAVs equipped with GNSS/INS frame and line camera systems. For frame cameras, the research introduces two approaches (direct and indirect) to correct for time delay between GNSS/INS recorded event markers and actual time of image exposures. To ensure the best estimates of system parameters without the use of ground control points, an optimal flight configuration for system calibration while estimating time delay is rigorously derived. For line camera systems, this research presents the direct approach to estimate system calibration parameters including time delay during the bundle block adjustment. The optimal flight configuration is also rigorously derived for line camera systems and the bias impact analysis is concluded. This shows that the indirect approach is not a feasible solution for push-broom line cameras onboard UAVs due to the limited ability of line cameras to decouple system parameters and is confirmed with experimental results. Lastly, this research demonstrates that for frame and line camera systems, the direct approach can be fully-automated by incorporating structure from motion (SfM) based tie point features. Methods for feature detection and matching for frame and line camera systems are presented. This research also presents the necessary changes in the bundle adjustment with self-calibration to successfully incorporate a large amount of automatically-derived tie points. For frame cameras, the results show that the direct and indirect approach is capable of estimating and correcting this time delay. When a time delay exists and the direct or indirect approach is applied, horizontal accuracy of 1–3 times the ground sampling distance (GSD) can be achieved without the use of any ground control points (GCPs). For line camera systems, the direct results show that when a time delay exists and spatial and temporal calibration is performed, vertical and horizontal accuracy are approximately that of the ground sample distance (GSD) of the sensor. Furthermore, when a large artificial time delay is introduced for line camera systems, the direct approach still achieves accuracy less than the GSD of the system and performs 2.5-8 times better in the horizontal components and up to 18 times better in the vertical component than when temporal calibration is not performed. Lastly, the results show that automated tie points can be successfully extracted for frame and line camera systems and that those tie point features can be incorporated into a fully-automated bundle adjustment with self-calibration including time delay estimation. The results show that this fully-automated calibration accurately estimates system parameters and demonstrates absolute accuracy similar to that of manually-measured tie/checkpoints without the use of GCPs.

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Books on the topic "Assisted GNSS"

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Frank Stephen Tromp Van Diggelen. A-GPS: Assisted GPS, GNSS, and SBAS. Boston: Artech House, 2009.

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Book chapters on the topic "Assisted GNSS"

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Iubatti, Matteo, Marco Villanti, Alessandro Vanelli-Coralli, Giovanni E. Corazza, and Stephane Corazza. "Ephemeris Interpolation Techniques for Assisted GNSS Services." In Satellite Communications and Navigation Systems, 185–97. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-47524-0_14.

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Januszewski, Jacek. "Assisted-GNSS, Why, Where and for Whom?" In Communications in Computer and Information Science, 142–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16472-9_15.

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Liu, Changsheng, Xiukui Li, and Xiaoyan Liu. "Wi-Fi Assisted GNSS Positioning and Continuous Tracking." In Lecture Notes in Electrical Engineering, 701–11. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0029-5_59.

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Hao, Xiaoming, Chunying Li, and Jinshan Liu. "INS-Assisted GNSS Loop Tracking Hardware Implementation Algorithm Design." In Lecture Notes in Electrical Engineering, 442–51. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7751-8_44.

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Li, Jianfeng, Hong Li, and Mingquan Lu. "Research on GNSS Anti-spoofing Method Assisted by Loran-C System." In China Satellite Navigation Conference (CSNC) 2020 Proceedings: Volume III, 678–90. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3715-8_61.

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Mou, Minghui, Yuan Hu, Mingxing Gu, Shengzheng Wang, and Wei Liu. "A Vector Tracking Structure of FLL-Assisted PLL for GNSS Receiver." In Lecture Notes in Electrical Engineering, 252–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3146-7_24.

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Crespi, M., A. Mazzoni, and C. Brunini. "Assisted Code Point Positioning at Sub-meter Accuracy Level with Ionospheric Corrections Estimated in a Local GNSS Permanent Network." In Geodesy for Planet Earth, 761–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20338-1_95.

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"GNSS-assisted acquisition technique for LTE over satellite." In Advances in Communications Satellite Systems: Proceedings of the 37th International Communications Satellite Systems Conference (ICSSC-2019), 715–23. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbte095e_ch56.

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Conference papers on the topic "Assisted GNSS"

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Kulkarni, Ankita Abhay, E. Kiran Mahesh, and B. Karthikeyan. "Development of Assisted-GNSS Software to Enhance GNSS Capabilities." In 2018 3rd International Conference for Convergence in Technology (I2CT). IEEE, 2018. http://dx.doi.org/10.1109/i2ct.2018.8529438.

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Terris-Gallego, Rafael, Ignacio Fernandez-Hernandez, Jose A. Lopez-Salcedo, and Gonzalo Seco-Granados. "Guidelines for Galileo Assisted Commercial Authentication Service Implementation." In 2022 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2022. http://dx.doi.org/10.1109/icl-gnss54081.2022.9797027.

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del Peral-Rosado, Jose A., Jose A. Lopez-Salcedo, Sunwoo Kim, and Gonzalo Seco-Granados. "Feasibility study of 5G-based localization for assisted driving." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533837.

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Palmerini, Giovanni B. "Assisted GNSS Navigation in Lunar Missions." In AIAA SPACE 2014 Conference and Exposition. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-4256.

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Cimdins, Marco, Sven Ole Schmidt, and Horst Hellbruck. "MAMPI – Multipath-assisted Device-free Localization with Magnitude and Phase Information." In 2020 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2020. http://dx.doi.org/10.1109/icl-gnss49876.2020.9115529.

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Leitinger, Erik, Florian Meyer, Paul Meissner, Klaus Witrisal, and Franz Hlawatsch. "Belief propagation based joint probabilistic data association for multipath-assisted indoor navigation and tracking." In 2016 International Conference on Localization and GNSS (ICL-GNSS). IEEE, 2016. http://dx.doi.org/10.1109/icl-gnss.2016.7533839.

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Ghinamo, Giorgio, Gianluca Boiero, Piero Lovisolo, Andrea Dalla Torre, and Edoardo Detoma. "Hybrid fault detection technique in assisted GNSS." In 2010 IEEE/ION Position, Location and Navigation Symposium - PLANS 2010. IEEE, 2010. http://dx.doi.org/10.1109/plans.2010.5507262.

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Wang, Boyi, Lyndsay Ruane, Ryan Blay, and Dennis M. Akos. "Assisted GNSS: An Open Source SDR-Based Approach." In 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019). Institute of Navigation, 2019. http://dx.doi.org/10.33012/2019.17015.

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Deng, Zhongliang, Dejun Zou, Jianming Huang, Xu Chen, and Yan pei Yu. "The Assisted GNSS Boomed Up Location Based Services." In 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2009. http://dx.doi.org/10.1109/wicom.2009.5303191.

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Guanghua Zhang, Weixiao Meng, Jingqiu Ren, and Yuwei Shi. "Range distance compensation algorithm for assisted GNSS positioning." In 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM). IEEE, 2011. http://dx.doi.org/10.1109/chinacom.2011.6158185.

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