[PDF] Top 20 A Novel Interacting Multiple Model Particle Filter for Maneuvering Target Tracking in Clutter

... Tracking maneuvering target, which might switch among multiple operating regimes, is usually a difficult Bayesian inference problem and has attracted significant attention in the signal ... See full document

... for maneuvering target tracking in ...of maneuvering target Markovian switching dynamics via moment matching, even for the case with the nonlinear measurement ...of tracking ... See full document

... low clutter density scenarios, which can achieve multi- target tracking by directly propagating the approximate posterior density of the ...Ber filter has significant cardinality ...(CBMeMBer) ... See full document

... on particle swarm optimization in order to obtain excellent performance for phased array ...better tracking performance instead of RFS ability in [4], an adaptive maneuvering target ... See full document

... working particle filter or bootstrap filter ...unscented particle filter (UPF) [9], [10], which uses an unscented Kalman filter (UKF) [11], [12] to generate the proposal ... See full document

... (AACS) model and modified strong tracking unscented filter (MSTUF) are proposed for maneuvering target tracking (MTT) under nonlinear measurement in this ...AACS model is ... See full document

... structure multiple model particle filters (VS-MMPF) as an exten- sion of the VS-IMM ...the particle fil- ters can handle nonlinear and non-Gaussian models, the user has much more freedom than ... See full document

... the Multiple Hypothesis Tracking (MHT) approach, a number of candidate hypotheses will be generated and evaluated later as more data are ...Kalman filter proposed here seems to be optimal under the ... See full document

... for tracking airborne targets flying in AEW ...with interacting multiple models (IMM), extended Kalman filter (EKF) and particle filter (PF), the radar and electronic support ... See full document

... Maneuvering target tracking (MTT) is always a critical problem in target tracking area ...of target dynamic models, observation models and tech- niques, decision-based methods, ... See full document

... Kalman filter (5thSSRCKF) proposed in [25] has the higher estimation accuracy than ...propose interacting multiple model fifth-degree spherical simplex-radial cubature filter ... See full document

... and tracking dim targets. To solve the problem of target maneuvering, the basic idea of multiple model (MM) algorithm is introduced into the basic multiple model ... See full document

... the filter, but may delete the possible measurement associated with the target ...The multiple hypothesis tracker (MHT) can establish the hypotheses of all possible measurements and keep these ... See full document

... of target kinematic parameters (position, velocity and acceleration) through bearing-only measurements (BOM), which is known as Target Motion Analysis (TMA) has been noticed ...the target propagates ... See full document

... Four moving targets are tracked in the monitoring area and are uniformly linearly moved. The monitored area is [-150,200]m×[-150,200]m, time interval T s is 1s, whole time processing is 30s. target states are ... See full document

... Auxiliary Particle filter first proposed by [5] is an advanced algorithm for the Monte Carlo approximation based on state space ...auxiliary particle filter algorithm works in two ... See full document

... the tracking performance of detection ...accurate tracking of maneuvering targets is more ...adaptive maneuvering target tracking algorithm is ...Singer model is used to ... See full document

... complete model of human consists of both the movements and the shape of the ...with tracking processes: this can be achieved with photogrammetric methods, electromagnetic or mechanical sensors systems and ... See full document

... hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment ...walk model, and the rectangle involving new particles is ...of ... See full document

... speaking multiple speakers in the presence of background noise and reverberation is of great interest due to the vast number of potential ...the tracking process using a Kalman filter or extended ... See full document