Open Access
Issue
JNWPU
Volume 36, Number 1, February 2018
Page(s) 169 - 175
DOI https://doi.org/10.1051/jnwpu/20183610169
Published online 18 May 2018
  1. Andrews S, Hans A. Bridging the Ensemble Kalman Particle Filters:The Adaptive Gaussian Mixture Filter[J]. Computational Geosciences, 2011, 15(2) : 293-305 10.1007/s10596-010-9207-1 [CrossRef] [Google Scholar]
  2. Li W, Leung H, Zhou Yifeng. Space-Time Registration of Radar and ESM Using Unscented Kalman Filter[J]. IEEE Trans on Aerospace and Electronic System, 2004, 40(3):824-836 10.1109/TAES.2004.1337457 [NASA ADS] [CrossRef] [Google Scholar]
  3. Arulam Palam M S, Maskell S, Cordon N, et al.. A Tutorial on Particle Filters for Online Nonlinearnon-Gaussian Bayesian Tracking Processing[J]. IEEE Trans on Signal Processing, 2002, 50(2) : 174-188 10.1109/78.978374 [Google Scholar]
  4. Chang Dahchung, Fang Mengwei. Bearing-Only Maneuvering Mobile Tracking with Nonlinear Filtering Algorithms in Wireless Sensor Networks[J]. IEEE Systems Journal, 2014, 8(1):160-170 10.1109/JSYST.2013.2260641 [NASA ADS] [CrossRef] [Google Scholar]
  5. Kotecha Jayesh H. Gaussian Particle Filtering[J]. IEEE Trans on Signal Processing, 2003, 51(10) : 2592-2601 10.1109/TSP.2003.816758 [NASA ADS] [CrossRef] [Google Scholar]
  6. Jayesh H. Gaussian Sum Particle Filtering[J]. IEEE Trans on Signal Processing, 2003, 51(10):2602-2611 10.1109/TSP.2003.816754 [CrossRef] [Google Scholar]
  7. Lehn Schiler T. Parzen Particle Filters[C]//Proceedings of International Conference on Acoustics, Speech, and Signal Processing, 2004: 781-784 [Google Scholar]
  8. Wang Fasheng, Zhao Qingjie. A New Particle Filter for Nonlinear Filtering Problems[J]. Chinese Journal of Computers, 2008, 31(2):346-352 (in Chinese)[Article] [CrossRef] [Google Scholar]
  9. Li Liangqun, Ji Hongbing, Luo Junhui. The Iterated Extended Kalman Particle Filter[C]//IEEE International Symposium on Communications and Information Technology, 2005: 1213-1216 [Google Scholar]
  10. Manor E, Averbuch A, Bar-Shalom Y, et al. Interacting Multiple Model Methods in Target Tracking:a Survey[J]. IEEE Trans on Aerospace and Electronic Systems, 1998, 34(1):103-123 10.1109/7.640267 [NASA ADS] [CrossRef] [Google Scholar]
  11. Boers Y, Driessen J N. Interacting Multiple Model Particle Filter[J]. IEEE Proceedings——Radar Sonar Navigation, 2003, 150(5):344-349 10.1049/ip-rsn:20030741 [CrossRef] [Google Scholar]
  12. Kirubarajan T, Bar-Shalom Y, Blair W D, et al. IMMPDAF for Radar Management and Tracking Benchmark with ECN[J]. IEEE Trans on Aerospace and Electronic Systems, 1998, 34(4):1115-1133 10.1109/7.722696 [NASA ADS] [CrossRef] [Google Scholar]
  13. Morelande M R, Challa S. Manoeuvring Target Tracking in Clutter Using Particle Filters[J]. IEEE Trans on Aerospace and Electronic Systems, 2005, 41(1):252-270 10.1109/TAES.2005.1413760 [NASA ADS] [CrossRef] [Google Scholar]
  14. Yang Zhengbin, Guo Fucheng, Zhou Yiyu. Iterated Algorithm for Maneuvering Target Tracking by a Single Passive Observer[J]. Journal of Astronautics, 2008, 29(1) : 304-310 (in Chinese)[Article] [Google Scholar]
  15. Hu Zhentao, Pan Quan, Yang Feng. Interacting Multiple Model Particle Filtering Algorithm Based on Generalized Unscented Transformation[J]. Acta Electronica Sinica, 2010, 38(6):1443-1448 (in Chinese)[Article] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.