Bilgin, Ozan Ozgun
Demirekler, Mübeccel
In this study, dynamic models for thrusting and ballistic flight modes of multi mode projectile are obtained and Marginalization method is applied by separation of the linear and nonlinear parts of state space model. In Marginalized Particle Filter (MPF), dimension of the nonlinear system is reduced so that the model can be utilized to obtain better estimates of the state using the same number of particles as that of standard particle filter. The Extended Kalman Filter (EKF), the Particle Filter (PF) and the Marginalized Particle Filter (MPF) are compared by their RMS errors in position and velocity estimations obtained by Monte Carlo simulations. In general, EKF has the best performance on position estimation and MPF has the best performance on velocity estimation.


Non-linear filtering based on observations from Gaussian processes
Gustafsson, Fredrik; Saha, Saikat; Orguner, Umut (2011-03-12)
We consider a class of non-linear filtering problems, where the observation model is given by a Gaussian process rather than the common non-linear function of the state and measurement noise. The new observation model can be considered as a generalization of the standard one with correlated measurement noise in both time and space. We propose a particle filter based approach with a measurement update step that requires a memory of past observations which can be truncated using a moving window to obtain a fi...
Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference
Tuncer, Barkın; Özkan, Emre (2021-02-01)
In this study, we propose a novel extended target tracking algorithm which is capable of representing the extent of dynamic objects as an ellipsoid with a time-varying orientation angle. A diagonal positive semi-definite matrix is defined to model objects' extent within the random matrix framework where the diagonal elements have inverse-Gamma priors. The resulting measurement equation is non-linear in the state variables, and it is not possible to find a closed-form analytical expression for the true poste...
Interacting multiple model probabilistic data association filter using random matrices for extended target tracking
Özpak, Ezgi; Orguner, Umut; Department of Electrical and Electronics Engineering (2018)
In this thesis, an Interacting Multiple Model – Probabilistic Data Association (IMM-PDA) filter for tracking extended targets using random matrices is proposed. Unlike the extended target trackers in the literature which use multiple alternative partitionings/clusterings of the set of measurements, the algorithm proposed here considers a single partitioning/clustering of the measurement data which makes it suitable for applications with low computational resources. When the IMM-PDA filter uses clustered mea...
Generalized Pushover Analysis For Torsionally Coupled Systems
Kaatsız, Kaan; Alıcı, Fırat Soner; Sucuoğlu, Haluk (2017-01-13)
Generalized pushover analysis procedure that was previously formulated on 2D planar frames is extended to 3D systems with torsional coupling in the presented study. The instantaneous force distribution acting on the system when the interstory drift at a story reaches its maximum value during seismic response is defined as the generalized force distribution. This force distribution is then expressed in terms of combinations of modal forces. Modal contributions to the generalized force vectors are calculated ...
Dynamic ion behavior in plasma source ion implantation
Bozkurt, Bilge; Bilikmen, Kadri Sinan; Department of Physics (2006)
The aim of this work is to analytically treat the dynamic ion behavior during the evolution of the ion matrix sheath, considering the industrial application plasma source ion implantation for both planar and cylindrical targets, and then to de-velop a code that simulates this dynamic ion behavior numerically. If the sepa-ration between the electrodes in a discharge tube is small, upon the application of a large potential between the electrodes, an ion matrix sheath is formed, which fills the whole inter-ele...
Citation Formats
O. O. Bilgin and M. Demirekler, “MULTI MODE PROJECTILE TRACKING WITH MARGINALIZED PARTICLE FILTER,” 2015, Accessed: 00, 2020. [Online]. Available: