An Improved GPS/RFID Integration Method Based on Sequential Iterated Reduced Sigma Point Kalman Filter
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Ming Zhu | Jing Peng | Falin Wu | Feixue Wang | Kefei Zhang | Kefei Zhang | Falin Wu | Jing Peng | Feixue Wang | M. Zhu
[1] Rudolph van der Merwe,et al. Sigma-point kalman filters for probabilistic inference in dynamic state-space models , 2004 .
[2] Simon J. Julier,et al. The spherical simplex unscented transformation , 2003, Proceedings of the 2003 American Control Conference, 2003..
[3] Yunhao Liu,et al. LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..
[4] Ming Zhu. Novel positioning algorithms for RFID-assisted 2D MEMS INS systems , 2008 .
[5] Gaurav S. Sukhatme,et al. The Iterated Sigma Point Kalman Filter with Applications to Long Range Stereo , 2006, Robotics: Science and Systems.
[6] Kefei Zhang,et al. A new GPS/RFID integration algorithm based on iterated reduced sigma point kalman filter for vehicle navigation , 2009 .
[7] Heejae Jung,et al. Using RFID for Accurate Positioning , 2004 .
[8] Jack Dongarra,et al. LINPACK Users' Guide , 1987 .
[9] Jianwei Wan,et al. Iterated Unscented Kalman Filter for Passive Target Tracking , 2007, IEEE Transactions on Aerospace and Electronic Systems.
[10] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[11] Per Enge,et al. Wide area augmentation of the Global Positioning System , 1996, Proc. IEEE.