Absolute Position Estimation with GPS/INS Sensor Fusion | using Kalman Filtering

Lukas Neubauer

ISBN 10: 3639882032 / ISBN 13: 9783639882032

Published by AV Akademikerverlag, 2017

About this Item

Absolute Position Estimation with GPS/INS Sensor Fusion | using Kalman Filtering | Lukas Neubauer | Taschenbuch | Paperback | 124 S. | Englisch | 2017 | AV Akademikerverlag | EAN 9783639882032 | Verantwortliche Person für die EU: AV Akademikerverlag, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 103909924

Bibliographic Details

• Title: Absolute Position Estimation with GPS/INS Sensor Fusion | using Kalman Filtering
• Publisher: AV Akademikerverlag
• Publication Date: 2017
• Language: English
• ISBN 10: 3639882032
• ISBN 13: 9783639882032
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 203 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Absolute position estimation is nowadays globally and always available due to Global Navigation Satellite Systems, like the Global Position System (GPS). Because of several error sources and other influences, the accuracy is limited or the signal may be blocked completely. Sensor fusion techniques are used to achieve better accuracy and to increase reliability. The most common integration method is an inertial navigation system (INS) aided with GPS measurements, processed by a Kalman filter. In this work two different GPS/INS integration methods are implemented, utilizing inertial sensors, odometer data and GPS measurements. The algorithms are designed to keep the computational complexity low and to be suitable for real time applications. The multi-rate property of the sensors is considered as well. Also an inertial sensor error analysis is performed. The results are presented by a MATLAB simulation, based on prior taken measurement data sets.