Efficient GPS Position Determination Algorithms

Thao Q Nguyen

ISBN 10: 1025119002 / ISBN 13: 9781025119007

Verlag: Creative Media Partners, LLC Mai 2025, 2025

Beschreibung

Neuware - This research is aimed at improving the state of the art of GPS algorithms, namely, the development of a closed-form positioning algorithm for a stand-alone user and the development of a novel differential GPS algorithm for a network of users. The stand-alone user GPS algorithm is a direct, closed-form, and efficient new position determination algorithm that exploits the closed-form solution of the GPS trilateration equations and works in the presence of pseudorange measurement noise for an arbitrary number of satellites in view. A two-step GPS position determination algorithm is derived which entails the solution of a linear regression and updates the solution based on one nonlinear measurement equation. In this algorithm, only two or three iterations are required as opposed to five iterations that are normally required in the standard Iterative Least Squares (ILS) algorithm currently used. The mathematically derived stochastic model-based solution algorithm for the GPS pseudorange equations is also assessed and compared to the conventional ILS algorithm. Good estimation performance is achieved, even under high Geometric Dilution of Precision (GDOP) conditions. The novel differential GPS algorithm for a network of users that has been developed in this research uses a Kinematic Differential Global Positioning System (KDGPS) approach. A network of mobile receivers is considered, one of which will be designated the 'reference station' which will have known position and velocity information at the beginning of the time interval being examined. The measurement situation on hand is properly modeled, and a centralized estimation algorithm processing several epochs of data is developed.

Bestandsnummer des Verkäufers 9781025119007

Bibliografische Details

• Titel: Efficient GPS Position Determination Algorithms
• Verlag: Creative Media Partners, LLC Mai 2025
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 1025119002
• ISBN-13: 9781025119007
• Einband: Buch
• Zustand: Neu
• Abmessungen: 234B x 156 H x 8 T Millimeter Breite: 234 mm, Höhe: 156 mm, Tiefe: 8 mm
• Gewicht: 340 Gramm

Über diesen Titel

Inhaltsangabe

This research is aimed at improving the state of the art of GPS algorithms, namely, the development of a closed-form positioning algorithm for a stand-alone user and the development of a novel differential GPS algorithm for a network of users. The stand-alone user GPS algorithm is a direct, closed-form, and efficient new position determination algorithm that exploits the closed-form solution of the GPS trilateration equations and works in the presence of pseudorange measurement noise for an arbitrary number of satellites in view. A two-step GPS position determination algorithm is derived which entails the solution of a linear regression and updates the solution based on one nonlinear measurement equation. In this algorithm, only two or three iterations are required as opposed to five iterations that are normally required in the standard Iterative Least Squares (ILS) algorithm currently used. The mathematically derived stochastic model-based solution algorithm for the GPS pseudorange equations is also assessed and compared to the conventional ILS algorithm. Good estimation performance is achieved, even under high Geometric Dilution of Precision (GDOP) conditions. The novel differential GPS algorithm for a network of users that has been developed in this research uses a Kinematic Differential Global Positioning System (KDGPS) approach. A network of mobile receivers is considered, one of which will be designated the 'reference station' which will have known position and velocity information at the beginning of the time interval being examined. The measurement situation on hand is properly modeled, and a centralized estimation algorithm processing several epochs of data is developed.

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