z-logo
open-access-imgOpen Access
The Object Detection Efficiency in Synthetic Aperture Radar Systems
Author(s) -
Oleg V. Chernoyarov,
Branislav Dobrucký,
В. А. Иванов,
Alexander N. Faulgaber
Publication year - 2020
Publication title -
international journal of engineering. transactions b: applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 17
ISSN - 1728-144X
DOI - 10.5829/ije.2020.33.02b.19
Subject(s) - synthetic aperture radar , computer science , signal (programming language) , object detection , radar , object (grammar) , artificial intelligence , computer vision , false alarm , inverse synthetic aperture radar , algorithm , channel (broadcasting) , signal processing , radar imaging , pattern recognition (psychology) , telecommunications , programming language
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom