Promotion of GM-PHD Filtering Approach for Single-Target Tracking in Raw Data of Synthetic Aperture Radar in Spotlight Imaging Mode
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Mohammad Naser-Moghadasi | Ramazan Ali Sadeghzadeh | N. Daryasafar | M. Naser‐Moghadasi | N. Daryasafar | R. Sadeghzadeh
[1] Ba-Ngu Vo,et al. The forward-backward Probability Hypothesis Density smoother , 2010, 2010 13th International Conference on Information Fusion.
[2] Fred Smith,et al. Models for Radar Scatterer Density in Terrain Images , 1986, IEEE Transactions on Aerospace and Electronic Systems.
[3] C J Oliver. Synthetic-aperture radar imaging , 1989 .
[4] Michael Y. Jin,et al. A SAR correlation algorithm which accommodates large-range migration , 1984, IEEE Transactions on Geoscience and Remote Sensing.
[5] Junping Du,et al. Gaussian mixture PHD smoother for jump Markov models in multiple maneuvering targets tracking , 2011, Proceedings of the 2011 American Control Conference.
[6] Emre Ertin,et al. Joint synthetic aperture radar and space-time adaptive processing on a single receive channel , 2015, IEEE Transactions on Aerospace and Electronic Systems.
[7] N. Hamano,et al. Digital processing of synthetic aperture radar data , 1984 .
[8] Ba-Ngu Vo,et al. The Gaussian Mixture Probability Hypothesis Density Filter , 2006, IEEE Transactions on Signal Processing.
[9] K. Punithakumar,et al. Multiple-model probability hypothesis density filter for tracking maneuvering targets , 2004, IEEE Transactions on Aerospace and Electronic Systems.
[10] Ba-Ngu Vo,et al. Closed-Form Solutions to Forward–Backward Smoothing , 2012, IEEE Transactions on Signal Processing.
[11] Syed Ahmed Pasha,et al. A Gaussian Mixture PHD Filter for Jump Markov System Models , 2009, IEEE Transactions on Aerospace and Electronic Systems.
[12] Ratnasingham Tharmarasa,et al. Gaussian mixture probability hypothesis density smoothing with multistatic sonar , 2008, SPIE Defense + Commercial Sensing.
[13] Ba-Ngu Vo,et al. Convergence Analysis of the Gaussian Mixture PHD Filter , 2007, IEEE Transactions on Signal Processing.
[14] Hui Lin,et al. Surface deformation detected by ALOS PALSAR small baseline SAR interferometry over permafrost environment of Beiluhe section, Tibet Plateau, China , 2013 .
[15] Ba-Ngu Vo,et al. A closed form solution to the Probability Hypothesis Density Smoother , 2010, 2010 13th International Conference on Information Fusion.
[16] Thiagalingam Kirubarajan,et al. Maneuvering target tracking using probability hypothesis density smoothing , 2009, Defense + Commercial Sensing.
[17] Samuel S. Blackman,et al. Multiple-Target Tracking with Radar Applications , 1986 .
[18] R. Mahler. Multitarget Bayes filtering via first-order multitarget moments , 2003 .
[19] Chang-Kyu Rheem,et al. Time-Domain Simulation of Along-Track Interferometric SAR for Moving Ocean Surfaces , 2015, Sensors.
[20] Kumaradevan Punithakumar,et al. Improved multi-target tracking using probability hypothesis density smoothing , 2007, SPIE Optical Engineering + Applications.
[21] Yingmin Jia,et al. Gaussian mixture PHD filter for jump Markov models based on best-fitting Gaussian approximation , 2011, Signal Process..
[22] Ba-Ngu Vo,et al. A Gaussian Mixture PHD Filter for Nonlinear Jump Markov Models , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.
[23] Sumeetpal S. Singh,et al. Sequential monte carlo implementation of the phd filter for multi-target tracking , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.
[24] Ye Xia. Synthetic Aperture Radar Interferometry , 2010 .
[25] Ba-Ngu Vo,et al. Technical aspects of the probability hypothesis density recursion , 2005 .
[26] P. Lacomme,et al. Synthetic Aperture Radar , 2001 .
[27] Andreas Størksen Stordal,et al. Sequential Monte Carlo Methods for Bayesian Filtering , 2008 .