참고문헌
- J. Liu et al., "A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS," Sensors, vol. 12, no. 12, Dec. 2012, pp. 17208-17233. https://doi.org/10.3390/s121217208
- L. Pei et al., "Using LS-SVM Based Motion Recognition for Smartphone Indoor Wireless Positioning," Sensors, vol. 12, no. 5, May 2012, pp. 6155-6175. https://doi.org/10.3390/s120506155
- J. Bojja et al., "Indoor Localization Methods Using Dead Reckoning and 3D Map Matching," J. Signal Process Syst., vol. 76, no. 3, Sept. 2014, pp. 301-312. https://doi.org/10.1007/s11265-013-0865-9
- M.A. Rabbou and A. El-Rabbany, "Integration of GPS Precise Point Positioning and MEMS-Based INS Using Unscented Particle Filter," Sensors, vol. 15, no. 4, Mar. 2015, pp. 7228-7245. https://doi.org/10.3390/s150407228
- K. Gyorgy, A. Kelemen, and L. David, "Unscented Kalman Filters and Particle Filter Methods for Nonlinear State Estimation," Procedia Technol., vol. 12, 2014, pp. 65-74. https://doi.org/10.1016/j.protcy.2013.12.457
- J. Chen, L. Cheng, and M. Gan, "Extension of SGMF Using Gaussian Sum Approximation for Nonlinear/Non-gaussian Model and Its Application in Multipath Estimation," Acta Automatica Sinica, vol. 39, no. 1, Jan. 2013, pp. 1-10. https://doi.org/10.1016/S1874-1029(13)60001-4
- R.H. Mohseni et al., "Non-gaussian Probabilistic MEG Source Localisation Based on Kernel Density Estimation," NeuroImage, vol. 87, Feb. 2014, pp. 444-464. https://doi.org/10.1016/j.neuroimage.2013.09.012
- K.W. Ahn and K. Chan, "Approximate Conditional Least Squares Estimation of a Nonlinear State-Space Model via an Unscented Kalman Filter," Computational Statistics Data Anal., vol. 69, Jan. 2014, pp. 243-254. https://doi.org/10.1016/j.csda.2013.07.038
- J. Guo et al., "Square-Root Unscented Kalman Filtering Based Localization and Tracking in the Internet of Things," Personal Ubiquitous Comput., vol. 18, no. 4, Apr. 2014, pp. 987-996. https://doi.org/10.1007/s00779-013-0713-8
- J. Jhang et al., "A Particle Filter for Frequency Synchronization in MIMO-OFDM Systems," Int. Conf. Wireles Commun., Netw. Mobile Comput., Beijing, China, Sept. 24-26, 2009, pp. 1-4.
- J. Yu, D. Xiao, and X. Yang, "Square Root Unscented Particle Filter with Application to Angle-Only Tracking," World Congress Intell. Contr. Autom., Dalian, China, June 2006, pp. 1548-1553.
- S. Zandara and A. Nicholson, "Square Root Unscented Particle Filtering for Grid Mapping," Lecture Notes Comput. Sci., vol. 5866, 2009, pp. 121-130.
- D. Bhatt et al., "A Novel Hybrid Fusion Algorithm to Bridge the Period of GPS Outages Using Low-Cost INS," Expert Syst. Appl., vol. 40, no. 5, Apr. 2014, pp. 2166-2173.
- Z. Zhang, "Bayesian Growth Curve Models with the Generalized Error Distribution," J. Appl. Statistics, vol. 40, no. 8, Apr. 2013, pp. 1779-1795. https://doi.org/10.1080/02664763.2013.796348
- W. Li and Y. Jiaa, "Distributed Consensus Filtering for Discrete-Time Nonlinear Systems with Non-gaussian Noise," Signal Process., vol. 92, no. 10, Oct. 2012, pp. 2464-2470. https://doi.org/10.1016/j.sigpro.2012.03.009
- M. Han, Z. Liang, and D. Li, "Sparse Kernel Density Estimations and its Application in Variable Selection Based on Quadratic Renyi Entropy," Neurocomputing, vol. 74, no. 10, May 2011, pp. 1664-1672. https://doi.org/10.1016/j.neucom.2011.01.022
- P. Malec and M. Schienle, "Nonparametric Kernel Density Estimation near the Boundary," Computational Statistics Data Anal., vol. 72, Apr. 2014, pp. 57-76. https://doi.org/10.1016/j.csda.2013.10.023
- X. Hong, S. Chen, and C.J. Harris, "Sparse Kernel Density Estimation Technique Based on Zero-Norm Constraint," Int. Joint Conf. Neural Netw., Barcelona, Spain, July 18-23, 2010, pp. 1-6.
- S. Chen, X. Hong, and C.J. Harris, "An Orthogonal forward Regression Technique for Sparse Kernel Density Estimation," Neurocomputing, vol. 71, no. 4-6, Jan. 2008, pp. 931-943. https://doi.org/10.1016/j.neucom.2007.02.008
- X. Hong et al.,"Sparse Probability Density Function Estimation Using the Minimum Integrated Square Error," Neurocomputing, vol. 115, Sept. 2013, pp. 22-129.
- S. Chen, X. Hong, and C.J. Harris, "Sparse Kernel Density Construction Using Orthogonal Forward Regression with Leaveone-out Test Score and Local Regularization," IEEE Trans. Syst., Man Cybernetics, Part B, vol. 34, no. 4, Aug. 2004, pp. 1708-1717. https://doi.org/10.1109/TSMCB.2004.828199
- E. Iturbide, J. Cerda, and M. Graff, "A Comparison between LARS and LASSO for Initialising the Time-Series Forecasting Auto- Regressive Equations," Procedia Technol., vol. 7, 2013, pp. 282-288. https://doi.org/10.1016/j.protcy.2013.04.035
- M. Arioli and S. Gratton, "Linear Regression Models, Least-Squares Problems, Normal Equations, and Stopping Criteria for the Conjugate Gradient Method," Computer Physics Commun., vol. 183, no. 11, Nov. 2012, pp. 2322-2336. https://doi.org/10.1016/j.cpc.2012.05.023
- M.R. Morelande and S. Challa, "Maneuvering Target Tracking in Clutter Using Particle Filters," IEEE Trans. Aerospace Electron. Syst., vol. 41, no. 1, Jan. 2005, pp. 252-270. https://doi.org/10.1109/TAES.2005.1413760
- F. Gustafsson, "Particle Filter Theory and Practice with Positioning Applications," IEEE Aerospace Electron. Syst. Mag., vol. 25, no. 7, July 2010, pp. 53-81. https://doi.org/10.1109/MAES.2010.5546308
- E. Kaplan and D. Hegarty, Understanding GPS: Principles and Applications, Norwood, MA, USA: Artech House, 2005.
- E. Mok, G. Retscher, and C. Wen, "Initial Test on the Use of GPS and Sensor Data of Modern Smartphones for Vehicle Tracking in Dense High Rise Environments," Ubiquitous Positioning, Indoor Navigation, Location Based Service, Helsinki, Finland, Oct. 3-4, 2012, pp. 1-7
- K. Yukihiro and W. Jinling, "INS/GPS Integration Using Gaussian Sum Particle Filter, " Proc. Int. Techn. Meeting Satellite Division Institute Navigation, Savannah, GA, USA, Sept. 2008, pp. 1345-1352.
- G. Li and H. Yang, "Iterated Square Root Unscented Kalman Particle Filter," IEEE Youth Conf. Inf. Comput. Telecommunication, Beijing, China, Nov. 28-30, 2010, pp. 222-225.
- Z. Feng, X. Wen-fang, and L. Xi, "Overview of Nonlinear Bayesian Filtering Algorithm," Adv. Contr. Eng. Inf. Sci., Procedia Eng., vol. 15, Aug. 2011, pp. 489-495.
- L. Chen and J. Fang, "A Hybrid Prediction Method for Bridging GPS Outages in High-Precision POS Application, IEEE Trans. Instrumentation Measurement," vol. 63, no. 6, June 2014, pp. 1656-1666. https://doi.org/10.1109/TIM.2013.2292277
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