The Object Detection Efficiency in Synthetic Aperture Radar Systems

Authors

  • A. N. Faulgaber Department of Electronics and Nanoelectronics, Faculty of Electrical Engineering, National Research University “MPEI”, Moscow, Russia
  • B. Dobrucky Department of Mechatronics and Electronics, Faculty of Electrical Engineering and Information Technology, University of Zilina, Slovak Republic
  • O. V. Chernoyarov International Laboratory of Statistics of Stochastic Processes and Quantitative Finance, National Research Tomsk State University, Tomsk, Russia |Department of Higher Mathematics and System Analysis, Faculty of Electrical Engineering, Maikop State Technological University, Maikop, Russia| Department of Electronics and Nanoelectronics, Faculty of Electrical Engineering, National Research University “MPEI”, Moscow, Russia
  • V. A. Ivanov Department of Scientific Production Center “Design Engineering Bureau of Radio Engineering Devices and Systems”, Faculty of Radio Engineering, National Research University “MPEI”, Moscow, Russia
Abstract:

The main purpose of this paper is to develop the method of characteristic functions for calculating the detection characteristics in the case of the object surrounded by rough surfaces. This method is to be implemented in synthetic aperture radar (SAR) systems using optimal resolution algorithms. By applying the specified technique, the expressions have been obtained for the false alarm and correct detection probabilities. In order to illustrate the effective application of the introduced approach in the case of the generic SAR system, the results are presented of the calculation of the detection characteristics of the signal from the extended object surrounded by a rough surface. It is shown that the analysis allows us to substantiate the structure of the SAR signal processing channel and to obtain the improved relations for the radio observation characteristics in this case. The efficiency of the optimal signal processing in SAR systems can also be determined without the approximate calculations involved.

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Journal title

volume 33  issue 2

pages  337- 343

publication date 2020-02-01

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