A new GPS/RFID integration algorithm based on iterated reduced sigma point kalman filter for vehicle navigation

Zhang, K 2009, 'A new GPS/RFID integration algorithm based on iterated reduced sigma point kalman filter for vehicle navigation', in Proceedings of the 22nd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2009), Savannah, GA, USA, 22-25 September 2009, pp. 1604-1611.


Document type: Conference Paper
Collection: Conference Papers

Title A new GPS/RFID integration algorithm based on iterated reduced sigma point kalman filter for vehicle navigation
Author(s) Zhang, K
Year 2009
Conference name ION GNSS 2009
Conference location Savannah, GA, USA
Conference dates 22-25 September 2009
Proceedings title Proceedings of the 22nd International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2009)
Publisher The Institute of Navigation
Place of publication USA
Start page 1604
End page 1611
Total pages 8
Abstract To improve the accuracy, reliability and availability of GPS navigation service in urban area, a new GPS/RFID integration method for vehicle navigation is proposed in this paper. In the proposed method, a RFID system is used to aid GPS to achieve a high accuracy positioning via the Received Signal Strength (RSS) measurements and sparse location information of RFID tags. An iterated Reduced Sigma Point Kalman Filter is proposed as a predominant filter for the GPS/RFID integration as well. The results of field experiment show that both accuracy and availability of positioning can be improved by this low-cost GPS/RFID integration method significantly.
Subjects Geodesy
Copyright notice © 2009 The Institute of Navigation
ISBN 9781615677481
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