![]() Maier D, Frankl K, Pany T (2018) The GNSS-transceiver: using vector-tracking approach to convert a GNSS receiver to a simulator: implementation and verification for signal authentication. Luo Y, Babu R, Wu W, He X (2012) Double-filter model with modified Kalman filter for baseband signal pre-processing with application to ultra-tight GPS/INS integration. In: Proceedings of ION GNSS 2011, Portland, OR, 20–23 September 2011 2011. Liu J, Yin H, Cui X, Lu M, Feng Z (2011) A direct position tracking loop for GNSS receivers. Lashley M, Bevly DM, Hung JY (2009) Performance analysis of vector tracking algorithms for weak GPS signals in high dynamics. Lashley M, Bevly D (2013) Performance comparison of deep integration and tight coupling. Lashley M, Bevly D (2009) Vector delay/frequency lock loop implemenation and analysis. Lashley M, Bevly D (2007) Analysis of discriminator based vector tracking algorithm. Hsu L-T, Gu Y, Kamijo S (2016) 3D building model-based pedestrian positioning method using GPS/GLONASS/QZSS and its reliability calculation. Hsu L-T, Jan S, Groves P, Kubo N (2015) Multipath mitigation and NLOS detection using vector tracking in urban environments. In: Proceedings of ION Pacific PNT 2013, Honolulu, Hawaii, 22–25 April 2013, pp 498–509 Hsu L-T, Groves P, Jan S (2013) Assessment of the multipath mitigation effect of vector tracking in an urban environment. Groves P, Mather C (2010) Receiver interface requirements for deep INS/GNSS integration and vector tracking. IEEE Trans Aerosp Electron Syst 52:1046–1055Ĭopps E, Geier G, Fidler W, Grundy P (1980) Optimal processing of GPS signals. Applied and numerical harmonic analysis, Birkhäuser, Bostonīrewer J, Raquet J (2016) Differential vector phase locked loop. Navig J Inst Navig 57:275–295īorre K, Akos D, Bertelsen N, Rinder P, Jensen S (2007) A software defined GPS and Galileo receiver-a single-frequency approach. Finally, static and kinematic experiments were conducted in an urban and open-sky area, respectively, to show the usage and performance of the developed open-source GPS VT SDR.īhattacharyya S, Gebre-Egziabher D (2010) Development and validation of parametric models for vector tracking loops. The implementation of this VT code is described in detail. ![]() Users can quickly implement and evaluate their own newly developed baseband signal processing algorithms related to VT. In addition, this MATLAB code is well organized and easy to use. This baseline provides users with a tool to compare the performance of VT and CT on common ground. The GPS positioning estimator of this equivalent CT is based on an extended Kalman filter (EKF), which has exactly the same state, system, and carrier measurement models and noise tuning method as VT. To achieve this goal, we developed an “equivalent conventional tracking (CT)” SDR as a baseline to compare with VT. We developed open-source MATLAB code for GPS VT SDR to enable researchers and scientists to investigate its pros and cons in various applications and under various environments. ![]() The strengths of VT include its immunity to signal interference, its capability to mitigate multipath effects in urban areas, and its excellent performance in tracking signals under high-dynamic applications. The research regarding global positioning system (GPS) vector tracking (VT), based on a software-defined receiver (SDR), has been increasing in recent years.
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