Particle filter based track before detect algorithm for tracking of dim moving targets

Sabuncu, Murat
In this study Track Before Detect (TBD) approach will be analysed for tracking of dim moving targets. First, a radar setup is presented in order to introduce the radar range equation and signal models. Then, preliminary information is given about particle filters. As the main algorithm of this thesis, a multi-model particle filter method is developed in order to solve the non-linear non-Gaussian Bayesian estimation problem. Probability of target existence and RMS estimation accuracy are defined as the performance parameters of the algorithm for very low SNR targets. Simulation results are provided and performance analysis is presented as a conclusion.


Visual tracking with motion estimation and adaptive target appearance model embedded in particle filtering
Başer, Erkan; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2008)
In this thesis we study Particle Filter for visual tracking applications. The sequential Monte Carlo methods or Particle Filter provides approximate solutions when the tracking problem involves non-linear and/or non-Gaussian state space models. Also in this study, in order to make the visual tracker robust against change in target appearance and unexpected target motion, an adaptive target appearance model and a first order motion estimator are embedded in particle filtering. Additionally, since pixels that...
Range parameterized bearings only tracking using particle filter
Arslan, Ali Erkin; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2012)
In this study, accurate target tracking for bearings-only tracking problem is investigated. A new tracking filter for this nonlinear problem is designed where both range parameterization and Rao-Blackwellized (marginalized) particle filtering techniques are used in a Gaussian mixture formulation to track both constant velocity and maneuvering targets. The idea of using target turn rate in the state equation in such a way that marginalization is possible is elaborated. Addition to nonlinear nature, unobserva...
Multi-target particle filter based track before detect algorithms for spawning targets /
Eyili, Mehmet; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2014)
In this work, a Track Before Detect (TBD) approach is proposed for tracking and detection of the spawning targets on the basis of raw radar measurements. The principle of this approach is mainly constructed by multi-model particle filter method. In contrast to the related works in the literature, a novel reduced order dynamic model is introduced and the information about bearing angle derived from the radar measurements is not used in this model to improve the efficiency of the particle filter. Moreover, a ...
Exact kalman filtering of respiratory motion
Çetinkaya, Mehmet; Erkmen, Aydan Müşerref (2018-10-01)
In this paper we propose a novel Exact Kalman Filter for state estimation of quasi-periodic signals such as respiratory motion. Nonlinear functions of interest are approximations as truncated Fourier series. Instead of relying on approximations provided by Extended Kalman Filter or Unscented Kalman Filter, our filter performs exact calculation of the mean and covariances of interest. We then compare, through simulations, the performance of our filter to the two. Our results show that the theoretically deriv...
Time weighted average concentration monitoring of compounds with wide range of physicochemical properties in aquatic environment using thin film solid phase microextraction
Boyacı, Ezel; Ahmadi, Fardin; Pawliszyn, Janusz (null; 2017-03-05)
This study offers an integrated approach for time weighted average (TWA) concentration determination of analytes with a wide range of physical-chemical properties. Two types of thin film solid phase microextraction (TF-SPME) passive sampler, namely a retracted TF-SPME device using a hydrophilic lipophilic balance (HLB) sorbent and an open bed configuration TF-SPME device with octadecyl silica-based (C18) sorbent were developed and used for monitoring TWA concentrations of selected UV blockers and biocides. ...
Citation Formats
M. Sabuncu, “Particle filter based track before detect algorithm for tracking of dim moving targets,” M.S. - Master of Science, Middle East Technical University, 2012.