Journal Article10.1016/0021-9169(95)90017-9
Book Review: GPS theory and practice. Second Edition, HOFFMANNWELLENHOFF B., LICHTENEGGER H. and COLLINS J., 1993, 326 pp., Springer, £31.00 pb, ISBN 3-211-82477-4
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About: This article is published in Journal of Atmospheric and Solar-Terrestrial Physics. The article was published on 01 Jan 1995.
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Citations
Improving the computational efficiency of the ambiguity function algorithm
Shaowei Han,Chris Rizos +1 more
TL;DR: Techniques are described in this paper for improving the Ambiguity Function Method (AFM) for differential GPS positioning using phase observations that take advantage of optimal dual-frequency observable combinations to improve thereliability of the AFM.
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Efficient, Automated Cycle-Slip Correction Of Dual-Frequency Kinematic GPS Data
Sunil Bisnath
- 22 Sep 2000
TL;DR: A method has been developed from various existing techniques, that provides fully automatic cycle-slip correction at the data preprocessing stage, and results indicate that single-cycle slips can be reliably detected for receivers in varied environments, and that these slipsCan be repaired correctly.
Improving Ambiguity Convergence in Carrier Phase-Based Precise Point Positioning
TL;DR: Numerical results and analyses of float solutions in both static and kinematics processing and fixed solution results in static processing mode are presented, which show the feasibility of the fixed ambiguity resolution which brings fewer unknowns, therefore accelerating solution convergence.
83
Large-Scale Dimensional Metrology (LSDM): from Tapes and Theodolites to Multi-Sensor Systems
Fiorenzo Franceschini,Maurizio Galetto,Domenico Augusto Francesco Maisano,Luca Mastrogiacomo +3 more
TL;DR: A “LSDM Multi-perspective Model” is introduced, according to which dominant technologies and restrictions are analyzed with the aim of individuating current lacks and defining the roadmap for future development of new instruments and systems.
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Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial.
TL;DR: The step-by-step methodology that has to be applied to extract knowledge from raw data traces is illustrated, which clarifies when, why and how to use data science in wireless network research.
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