Hybrid Particle/Extended Finite Memory Filter to Improve Target Tracking Accuracy of Radar Measurement in Harsh Environments

[1]  Myo Taeg Lim,et al.  Accurate pinch detection using recent finite measurements for automotive anti-pinch sunroof systems , 2017 .

[2]  Peng Shi,et al.  Distributed Hybrid Particle/FIR Filtering for Mitigating NLOS Effects in TOA-Based Localization Using Wireless Sensor Networks , 2017, IEEE Transactions on Industrial Electronics.

[3]  Bo Li,et al.  Auxiliary particle Bernoulli filter for target tracking , 2017 .

[4]  Myo Taeg Lim,et al.  A novel particle filter-based digital phase-locked loop robust against quantization error , 2017 .

[5]  Myo-Taeg Lim,et al.  Maximum likelihood FIR filter for visual object tracking , 2016, Neurocomputing.

[6]  Myo-Taeg Lim,et al.  Unbiased Finite-Memory Digital Phase-Locked Loop , 2016, IEEE Transactions on Circuits and Systems II: Express Briefs.

[7]  Myo-Taeg Lim,et al.  Fuzzy horizon group shift FIR filtering for nonlinear systems with Takagi-Sugeno model , 2016, Neurocomputing.

[8]  Jun Ye Yu,et al.  A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces , 2016, IEEE Signal Processing Letters.

[9]  Visakan Kadirkamanathan,et al.  Autonomous crowds tracking with box particle filtering and convolution particle filtering , 2016, Autom..

[10]  Thierry Peynot,et al.  Characterisation of the Delphi Electronically Scanning Radar for robotics applications , 2015, ICRA 2015.

[11]  Myo-Taeg Lim,et al.  Multi-target FIR tracking algorithm for Markov jump linear systems based on true-target decision-making , 2015, Neurocomputing.

[12]  Myo Taeg Lim,et al.  Arbitration algorithm of FIR filter and optical flow based on ANFIS for visual object tracking , 2015 .

[13]  Myo Taeg Lim,et al.  New preceding vehicle tracking algorithm based on optimal unbiased finite memory filter , 2015 .

[14]  Myo-Taeg Lim,et al.  Improving Reliability of Particle Filter-Based Localization in Wireless Sensor Networks via Hybrid Particle/FIR Filtering , 2015, IEEE Transactions on Industrial Informatics.

[15]  Myo Taeg Lim,et al.  A Gaussian distributed resampling algorithm for mitigation of sample impoverishment in particle filters , 2015 .

[16]  Soo-Hyung Kim,et al.  Real-time face tracking with instability using a feature-based adaptive model , 2015 .

[17]  Yu Hen Hu,et al.  Generalised Kalman filter tracking with multiplicative measurement noise in a wireless sensor network , 2014, IET Signal Process..

[18]  Joumana Farah,et al.  Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks , 2014, IEEE Sensors Journal.

[19]  Dan Simon,et al.  Optimal State Estimation: Kalman, H∞, and Nonlinear Approaches , 2006 .

[20]  Branko Ristic,et al.  Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .

[21]  N. Oudjane,et al.  Progressive correction for regularized particle filters , 2000, Proceedings of the Third International Conference on Information Fusion.

[22]  Yaakov Bar-Shalom,et al.  Estimation and Tracking: Principles, Techniques, and Software , 1993 .

[23]  C. Price An analysis of the divergence problem in the Kalman filter , 1968 .

[24]  N. F. Toda,et al.  Divergence in the Kalman Filter , 1966 .

[25]  H. Heffes The effect of erroneous models on the Kalman filter response , 1966 .

[26]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.