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Modern Inertial and Satellite Navigation Systems

Alonzo Kelly
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TLDR
This report is a detailed tutorial which explains the principles, practice, and issues of using these new technologies of inertial and satellite navigation.
Abstract
: Every mobile robot needs to know where it is so everyone who does mobile robotics wants to know how inertial and satellite navigation works. These two technologies are the most sophisticated forms of navigation systems available and they complement each other very well. Applications requiring indications of highly dynamic 3D motion, excellent relative accuracy and high update rates benefit from inertial systems. Applications requiring bounded absolute accuracy for extended excursions or position estimates relative to the earth itself benefit from satellite navigation. This decade has seen the development of inexpensive handheld global positioning systems based on reception of the GPS satellite signals, and advances in optical gyroscopes and integrated circuit accelerometers which promise to put an inertial navigation system in every automobile before the end of the next. This report is a detailed tutorial which explains the principles, practice, and issues of using these new technologies.

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Citations
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ReportDOI

A 3D State Space Formulation of a Navigation Kalman Filter for Autonomous Vehicles

Alonzo Kelly
TL;DR: In this article, a navigation Kalman filter is developed according to the state space formulation of Kalman's original papers, which is particularly appropriate for the problem of vehicle position estimation.
Journal ArticleDOI

Evaluation of a Low-cost MEMS Accelerometer for Distance Measurement

TL;DR: With proper compensation on gravitation, the accelerometer can be a viable solution as a short duration distance-measuring device for a mobile robot.
Proceedings ArticleDOI

Accelerometer for mobile robot positioning

TL;DR: In this paper, a low-cost small-sized solid-state accelerometer is described for positioning of a mobile robot or platform, where the acceleration signal output by the sensor is doubly integrated with time, which yields the travelled distance.
Journal ArticleDOI

Accelerometer Calibration and Dynamic Bias and Gravity Estimation: Analysis, Design, and Experimental Evaluation

TL;DR: This paper details the calibration of an accelerometer unit and presents also a dynamic filtering solution for the bias, which also includes the estimation of the gravity in body-fixed coordinates.
References
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Journal ArticleDOI

GPS Signal Structure and Performance Characteristics

TL;DR: Gps performance objectives, orbit geometry, and propagation effects are summarized in order to gain better understanding of the signal and what characteristics it must provide.
Journal Article

Principle of operation of navstar and system characteristics (gps system description)

TL;DR: The basic technique by which the navstar/global positioning system operates, the navigation signal, the measurement of the transit time, error sources, accuracies, and other characteristics of the system are discussed.
ReportDOI

A 3D State Space Formulation of a Navigation Kalman Filter for Autonomous Vehicles

Alonzo Kelly
TL;DR: In this article, a navigation Kalman filter is developed according to the state space formulation of Kalman's original papers, which is particularly appropriate for the problem of vehicle position estimation.
Book

Integrated aircraft navigation

TL;DR: Integrated aircraft navigation, Integrated aircraft navigation , مرکز فناوری اطلاعات و اصاع رسانی, کδاوρزی