Planar antennae manufactured on typical dielectric substrates have many essential advantages. One of them is mechanical strength that is very important as far as airborne application is concerned. Radar imaging systems using synthetic aperture technology (SAR) do not impose exaggerated requirements for an antenna bandwidth or gain but its mechanical properties as well as phase and frequency characteristics stability are the key features. In the paper the planar Uda-Yagi antenna being able to work close to perpendicular metal plate surface (e.g. fuselage) at center frequency 3 GHz is described. It was designed analytically adapting Uda-Mushiake model for mutual impedances calculation and finite difference time domain (FDTD) simulation system. Alongside analytical and numerical results the practical realization as well as preliminary measurements are shown.
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)
The paper deals with the problem of the multifunction radar resources management. The problem consists of target/tasks ranking and tasks scheduling. The paper is focused on the target ranking, with the data fusion approach. The data from the radar (object's velocity, range, altitude, direction etc.), IFF system (Identification Friend or Foe) and ESM system (Electronic Support Measures - information concerning threat's electro - magnetic activities) is used to decide of the importance assignment for each detected target. The main problem consists of the multiplicity of various types of the input information. The information from the radar is of the probabilistic or ambiguous imperfection type and the IFF information is of evidential type. To take the advantage of these information sources the advanced data fusion system is necessary. The system should deal with the following situations: fusion of the evidential and fuzzy information, fusion of the evidential information and a'priori information. The paper describes the system which fuses the fuzzy and the evidential information without previous change to the same type of information. It is also described the proposal of using of the dynamic fuzzy qualifiers. The paper shows the results of the preliminary system's tests.
Conference Committee Involvement (2)
XII Conference on Reconnaissance and Electronic Warfare Systems
19 November 2018 | Oltarzew, Poland
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009