Tomasz Górski

Space-Time Adaptive Processing analysis for the moving target on the sea surface indication purpose

Space-time adaptive processing (STAP) can improve target detectability in a presence of a ground clutter for airborne radar. Ground clutter echo has a wide spectrum as a result of the radar platform (airplane or satellite) motion. To reject clutter echo and preserve target echo, STAP employs antenna array. Simultaneous filtering in both spatial (angle) and frequency domain can improve performance. In this paper we propose a new application of STAP. Assuming an antenna array standing on a sea shore, the objective is to detect targets on the sea surface. Unfortunately sea clutter has different statistical properties compared to airborne clutter. As a consequence, basic STAP algorithm is not optimal in any sense. Future research will face the problem of evaluating performance of STAP applied to sea clutter. We hope to develop a new algorithm that can perform better in the presence of sea clutter.

Practical problems with covariance matrix estimation for adaptive MTI and space-time adaptive processing for target detection in HF surface wave radars

Surface wave over the horizon radar systems have a potential to detect targets, that are hidden under optical horizon. This possibility is, however, difficult to implement as a result of first and second order clutter scattered from the ocean surface in combination with interferences. In this paper we compare adaptive MTI and space-time adaptive processing algorithms applied to the surface wave high frequency radar system data. The aim of the experiments was to evaluate different techniques and their usefulness to detect targets at distances 50-200 km off shore. In the experiments authors used the data from an oceanographic, surface-wave, high frequency system WERA, designed to perform continuous monitoring of sea currents and waves. Data were collected at the west coast of France, in Brittany.

Sensor set stabilization system for miniature UAV

In this paper we present the concept of multiple sensors data acquisition from onboard of an Unmanned Air Vehicule (UAV). Because of flight instabilities caused by atmosferic movements (winds, thermals etc..) it is necessary to apply active stabilization in order to obtain reliable readings from observation sensors. The most stabilization-demanding sensor is Synthetic Aperture Radar (SAR) and in this paper two methods of stabilization are presented: hybrid (electromechanical) and electronic.

Digital navigation system for miniature quadrocopter UAV

The paper presents the idea of digital navigation system for miniature quadrocopter unmmanded aerial vehilce (UAV). The navigation system is composed of two subsystems: the attitude and heading stabilization and high-level satelite navigation subsystem. Overall quadrocopter concept is presented as well as the solutions used for both navigation subsystems.

Application of STAP technique to FMCW systems

The fundamental assumption that is made while space-time adaptive processing (STAP) technique is considered is that the signal to be processed takes on the form of a sequence of coherent pulses. Frequency modulated continuous wave (FMCW) systems are in widespread use because of their numerous advantages due among others to its non pulse character. It seems extremely important to look for a possibility of using STAP procedures in FMCW systems to make them even more attractive. The paper presents a simple analysis of a proposed approach to achieve this goal. A structure of the signal processor is presented and assumptions necessary to be fulfilled are defined. Effects of the proposed approach implementation in HF, I, and X bands are evaluated on the basis of selected parameters of the appropriate FMCW-STAP systems.