Hu, et al.: Multiple model particle filter based track-before-detect for maneuvering weak target, Journal of Electronics & Information Technology, Vol.30, No.4 (2008), p.941-944.龚亚信,杨宏文,胡卫东.Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target.电子与...
Multiple Model Kalman and Particle Filters and Applications: A SurveyKalman FilterMultiple ModelParticle FilterEKFUKFIMMMMAEKalman Filters (KF) is a recursive estimation algorithm, a special case of Bayesian estimators under Gaussian, linear and quadratic conditions. For non-linear systems, Extended ...
P., et al. A Novel Interacting Multiple Model Particle Filter for Maneuvering Target Tracking in Clutter, Progress In Electromagnetics Research C, 2013, 35, 177-191.WANG J; FAN B; LI Y;.A novel interacting multiple model particle filter for maneuvering target tracking in clutter.Progress in ...
filter are introduced to realize the optimization of state estimation by the latest observation information.Then,by means of combining the improved algorithm with interacting multiple model,the interacting multiple model particle filtering algorithm based on generalized unscented transformation is proposed.The...
Tracking Algorithms Based on Improved Interacting Multiple Model Particle Filter改进的交互式多模型粒子滤波跟踪算法 The general Interacting Multiple Model(IMM) based on Kalman Filter(IMMKF) or Extended Kalman Filter(IMMEKF) can not deal with non-Guassian problems and als... Liu Guixi,Gao Enke,Fan...
Particle filtering is being investigated extensively due to its important feature of target tracking based on nonlinear and non-Gaussian model. It tracks a trajectory with a known model at a given time. It means that particle filter tracks an arbitrary trajectory only if the time instant when tra...
Multiple Target Tracking Using Cheap Joint Probabilistic Data Association Multiple Model Particle Filter in Sensors Array Joint multiple target tracking and classification is an important issue in many engineering applications. Inrecent years, multiple sensor data fusion has b... M Zahir - 《International...
Combining the interacting multiple model (IMM) and the unscented particle filter (UPF), a new multiple model filtering algorithm is presented. Multiple models can adapt to targets'high maneuvering. Particle filter can deal with the nonlinear or non-Gaussian problems and the unscented Kalman filter ...
Thus, the interacting multiple model method is combined with the particle filter to cope with uncertainties in target maneuvers. Simulation results show that the proposed method is a promising substitute for the traditional imaging-based or sensor-based approaches. 展开 ...
Peter Hlinomaz; Lang Hong.A multi-rate multiple model track- before-detect particle filter.Mathematical and Computer Modelling.2009.146-162Peter Hlinomaz, Lang Hong. A multi-rate multiple model track- before-detect particle filter [J]. Mathematical and Computer Modelling, 2009, 49(1/2): 146-...