Loading...
Search for:
estimation-and-filtering
0.005 seconds
Particle Filter and its Application in Tracking
, M.Sc. Thesis Sharif University of Technology ; Babaiezadeh, Massoud (Supervisor)
Abstract
The aim of tracking is localization and positioning of position-variant object through consecutive times. The essence of this object determines the application of tracking. For example this object can be the satellite, mobile, certain object in sequential movie or etc. The particle filter as an estimation filter is a method that provides us the solution of tracking Problem. Therefore this thesis is devoted to particle filter and its application in tracking. But tracking problem needs some prior information; one of them is access to measurements relating to object position. In situations that the measurement equation which is related to object position has ambiguity we need another mechanism...
Application Analisys of Nonlinear Filter Techniques in Ballistic Target Tracking
, M.Sc. Thesis Sharif University of Technology ; Bastani, Mohammad Hasan (Supervisor) ; Behnia, Fereidoon (Supervisor)
Abstract
The study of nonlinear systems estimation techniques is necessary due to radar measurement equations which commonly contain range and angle, nonlinearly related to motion state variables.Hence in this thesis we make a through study of various nonlinear estimation techniques and important dynamic modelsfor airborne maneuvering and ballistic targets. Then we represent a novel method based on nonlinear vector transformation which tries to improve common nonlinear estimation techniques.Two Algorithms, DBF and MBF, baesd on data fusion is proposed to fuse a model data and also various models abilities in a separate chapter.Finally several estimator filters are simulated and analysed for two...
Utility of a nonlinear joint dynamical framework to model a pair of coupled cardiovascular signals
, Article IEEE Journal of Biomedical and Health Informatics ; Volume 17, Issue 4 , 2013 , Pages 881-890 ; 21682194 (ISSN) ; Shamsollahi, M. B ; Sharif University of Technology
2013
Abstract
We have recently proposed a correlated model to provide a Gaussian mixture representation of the cardiovascular signals, with promising results in identifying rhythm disturbances. The approach provides a transformation of the data into a set of integrable Gaussians distributed over time. Looking into the model from a new joint modeling perspective, it is capable of assembling a filtered estimation, and can be used to derive temporal information of the waveforms. In this paper, we present a step-by-step derivation of the joint model putting correlation assumptions together to conclude a minimal joint description for a pair of ECG-ABP signals. We then probe novel applications of this model,...
Clipping noise cancellation in uplink MC-CDMA system using signal reconstruction from non-uniform samples
, Article 2008 International Conference on Telecommunications, ICT, St. Petersburg, 16 June 2008 through 19 June 2008 ; 2008 ; 9781424420360 (ISBN) ; Azmi, P ; Marvasti, F ; Sharif University of Technology
2008
Abstract
In this paper, an iterative signal reconstruction method is extended to cancel multi-user clipping noise in a uplink MC-CDMA systems. Clipping is the simplest method to overcome high peak-to-average power ratio of multi-carrier signals but it makes the multi-carrier signals distorted. Reconstruction methods use non-distorted samples to reconstruct distorted samples in the receiver but multi-user interference causes the methods do not work properly because all the received samples are distorted by clipping and interference and so there is no undistorted samples to be used in recovering clipped samples. On the other hand, multi-user interference cancellation methods do not work properly...