2001/4

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Recent Submissions

Now showing 1 - 5 of 8
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    Neural Networks in Antennas and Microwaves: A Practical Approach
    (Společnost pro radioelektronické inženýrství, 2001-12) Raida, Zbyněk
    Neural networks are electronic systems which can be trained to remember behavior of a modeled structure in given operational points, and which can be used to approximate behavior of the structure out of the training points. These approximation abilities of neural nets are demonstrated on modeling a frequency-selective surface, a microstrip transmission line and a microstrip dipole. Attention is turned to the accuracy and to the efficiency of neural models. The association of neural models and genetic algorithms, which can provide a global design tool, is discussed.
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    Dipole Array Excited by Slots in its Coaxial Feeder
    (Společnost pro radioelektronické inženýrství, 2001-12) Cernohorsky, D.; Novacek, Z.
    A technical analysis of the coaxial dipole-array excited by periodically distributed slots in common coaxial feeder is presented. The lossy transmission-line theory is applied for determination of the current on all parts of the system. Calculated results support some properties of the system, especially the radiation pattern and the input impedance.
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    Solenoid above Ground Plane - Equivalent Circuit
    (Společnost pro radioelektronické inženýrství, 2001-12) Hoffmann, K.; Vajtr, J.
    Wide-band vector measurements of transmission structures formed by solenoids with 2, 4 and 6 turns above ground plane were performed in the frequency band 45 MHz to 18 GHz. Novel equivalent circuits of these structures were designed. The equivalent circuits fit the measured data very well in the frequency band DC to 11 GHz. Comparison with models known up to now are given.
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    The Laboratory of Wireless and Mobile Communications
    (Společnost pro radioelektronické inženýrství, 2001-12) Hanus, S.
    The paper presents the basic information about establishing of the laboratory for Mobile Communications on the Dept. of Radio Electronics, Brno University of Technology. This information allows to experts from the practice to obtain the general notion about the extent of theoretical knowledge and practical experiences of our students in this field. This information can be also useful for the specialists from universities comparing simple their pedagogical activity in this field respecting the activity in another institute.
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    Ground Radar Target Classification Using Singular Value Decomposition and Multilayer Perceptron
    (Společnost pro radioelektronické inženýrství, 2001-12) Matousek, Z.; Kurty, J.; Mokris, I.
    The paper deals with classification of ground radar targets. A received radar signal backscattered from a ground radar target was digitized and in the form of radar signal matrix utilized for a feature extraction based on Singular Value Decomposition. Furthermore, singular values of a backscattered radar signal matrix, as a target feature, were utilized for Radar Target Classification by multilayer perceptron. In the learning phase of a multilayer perceptron we used the learning target set and in the testing phase the testing target set was used. The learning and testing target sets were created on the basis of real ground radar targets.