A New GPS/RFID Integration Algorithm Based on Iterated Reduced Sigma Point Kalman Filter for Vehicle Navigation

被引：0
|
作者：
Peng, Jing [1 ,2 ]
Wu, Falin [3 ]
Zhu, Ming [1 ]
Zhang, Kefei [1 ]
Wang, Feixue [2 ]
机构：
[1] RMIT Univ, Sch Math & Geospatial Sci, Melbourne, Vic, Australia
[2] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha, Hunan, Peoples R China
[3] Beijing Univ Aeronaut & Astronaut, Sch Instrument & Opto Elect Engn, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 22ND INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2009) | 2009年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：803 / 810
页数：8
相关论文
共 50 条
  • [1] An Improved GPS/RFID Integration Method Based on Sequential Iterated Reduced Sigma Point Kalman Filter
    Peng, Jing
    Wu, Falin
    Zhu, Ming
    Wang, Feixue
    Zhang, Kefei
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2012, E95B (07) : 2433 - 2441
  • [2] INS/GPS Integrated Navigation for Wheeled Agricultural Robot Based on Sigma-point Kalman Filter
    Zhang, Yuliang
    Gao, Feng
    Tian, Lei
    7TH INTERNATIONAL CONFERENCE ON SYSTEM SIMULATION AND SCIENTIFIC COMPUTING ASIA SIMULATION CONFERENCE 2008, VOLS 1-3, 2008, : 1425 - +
  • [3] A new Kalman filter and its application in GPS-based vehicle navigation system
    Han, BM
    Proceedings of the World Engineers' Convention 2004, Vol A, Network Engineering and Information Society, 2004, : 89 - 93
  • [4] INS/GPS integrated navigation filter algorithm based on cubature Kalman filter
    Sun, Feng
    Tang, Li-Jun
    Kongzhi yu Juece/Control and Decision, 2012, 27 (07): : 1032 - 1036
  • [5] The Enriched Sigma Point Kalman Filter An adaptation of the Unscented Kalman Filter for Navigation Applications
    Lacambre, Jean-Baptiste
    Narozny, Michel
    Duplaquet, Marie-Lise
    2013 16TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2013, : 1813 - 1818
  • [6] GPS Navigation Using Adaptive Kalman Filter for Maneuvering Vehicle
    MOATASEM Momtaz
    QASIM Zeeshan
    Computer Aided Drafting,Design and Manufacturing, 2008, Design and Manufacturing.2008 (01) : 83 - 87
  • [7] A GPS-Laser-IMU Fusion Mapping Algorithm Based on Iterated Kalman Filter
    Cong M.
    Wen X.
    Wang M.
    Liu D.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2024, 52 (03): : 75 - 83
  • [8] Sigma-point Kalman filtering for integrated GPS and inertial navigation
    Crassidis, John L.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2006, 42 (02) : 750 - 756
  • [9] A Kalman filter algorithm based on exact modeling for FOG GPS/SINS integration
    Gu, Shan-shan
    Liu, Jian-ye
    Zeng, Qing-hua
    Lv, Pin
    OPTIK, 2014, 125 (14): : 3476 - 3481
  • [10] A new algorithm for GPS-based Vehicle Navigation System
    Han Baomin
    Qu Guoqing
    2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS, 2006, : 1208 - +
12345