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Sankowski M.,Przemyslowy Institute of Telecommunications
IET Radar, Sonar and Navigation | Year: 2011

A problem of tracking tactical ballistic missiles (TBMs) in a long-range air-surveillance radar is considered. An effective tracking algorithm is presented, which is based on continuous-time dynamic models of object motions and on a discrete-time model of measurement process. The estimator utilises an innovative combination of kinematic models of TBM movements in radar 'range-azimuth-elevation' coordinates, continuous-discrete extended Kalman filtering, interacting multiple-model state estimation and probabilistic data association. The performance and robustness of the new algorithm was proved by extensively testing using real and simulated radar data. For the purpose of this study its properties are illustrated using simulations. © The Institution of Engineering and Technology 2011. Source


Czyronis P.M.,Przemyslowy Institute of Telecommunications
Circuits, Systems, and Signal Processing | Year: 2014

Dynamic programming problem for discrete-time fractional order systems with quadratic performance index has been formulated and solved. A new method for numerical computation of optimal dynamic programming problem has been presented. The efficiency of the method has been demonstrated on numerical example and illustrated by graphs. Graphs also show the differences between the fractional and classical (standard) systems theory. Results for other cases of the coefficient alpha α, and not illustrated with numerical examples, have been obtained through a computer algorithm written for this purpose. © 2014 Springer Science+Business Media New York. Source


Zych M.,Przemyslowy Institute of Telecommunications
International Journal of Electronics and Telecommunications | Year: 2011

The paper describes the simulation and measurement results for a ground penetrating SAR radar. The main purpose of this paper is to present the complexity of the issues relating to GPR. Permittivity of the ground determination error causes the resolution deterioration of the resulting image therefore an important task of the digital signal processing is the correct estimation of the permittivity. The article presents several methods devoted to this subject. As a simulation model of SAR system the pulse radar with LFM (Linear Frequency Modulation) signal has been applied. The aim of the experiment is to test ability of the SAR system to obtain fully focused image of the underground targets. The real data measurements took place on the 6th floor at the Faculty of Electronics and Information - Warsaw University of Technology. During measurement campaign the GPR SAR demonstrator mounted on the rails wagon has been used to generate radar motion. Source


Sankowski M.,Przemyslowy Institute of Telecommunications
International Journal of Electronics and Telecommunications | Year: 2011

The basic problem of tracking manoeuvring moving objects (e.g. aircrafts, ships) lies in unpredictability of object manoeuvres, with respect to the time of occurrence, duration and the type of trajectory. In this paper most representative methods of modelling and state estimation techniques applied to Manoeuvring Target Tracking (MTT) are briefly reviewed. Classification of existing approaches is made in the context of realistic and instrumentalistic paradigms of the philosophy of science. A practical example is also given that shows the impact of selecting models and estimation methods on the performance of the tracking filter for Air Traffic Control (ATC) radar. Source


Samczynski P.,Przemyslowy Institute of Telecommunications | Samczynski P.,Warsaw University of Technology | Kulpa K.S.,Warsaw University of Technology
IEEE Transactions on Geoscience and Remote Sensing | Year: 2010

A new parametric autofocus technique with a high accuracy of flight-parameter estimation dedicated to strip-mode synthetic aperture radar (SAR) systems is presented. Most of the known autofocus techniques require high-reflectivity targets (man-made targets) to obtain a properly focused SAR image. The technique proposed in this paper allows flight parameters to be estimated effectively, even for a low-contrast scene (e.g., forests, fields, small paths, etc.). The autofocus technique is based on well-known MapDrift (MD) principles. The presented technique is a coherent one, which allows flight parameters to be estimated more precisely than in the other well-known parametric technique referred to as classical MD. The presented technique allows flight parameters to be estimated with accuracy that is independent of the initial velocity error. It can be used for real-time processing for both Earth imaging and moving-target indication. © 2009 IEEE. Source

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