Title :
Ambiguity removal and noise supression when detecting the range in the upper-air radars
Author :
Budai, B.T. ; Mironenko, O.V.
Author_Institution :
Ural Fed. Univ. (UrFU) named after the first President of Russia Eltsin B. N., Yekaterinburg, Russia
Abstract :
In SHF locators in case of traditional object detection there can be an ambiguity due to influence of similar signal disturbance from local items. It is shown that developed at the Communications Equipment and Technologies Department of the Institute of Radioelectronics and Informational Technologies of UrFU object detection algorithms against a background of noise allow firstly, clearly detecting objects, secondly, providing advantage of signal-to-noise ratio.
Keywords :
image denoising; interference suppression; object detection; radar detection; Communications Equipment and Technologies Department; Institute of Radioelectronics and Informational Technologies; SHF locators; UrFU object detection algorithm; ambiguity removal; noise suppression; range detection; signal disturbance; signal-to-noise ratio; upper-air radars; Educational institutions; Electronic mail; Noise; Object detection; Radar detection; Region 8;
Conference_Titel :
Microwave and Telecommunication Technology (CriMiCo), 2013 23rd International Crimean Conference
Conference_Location :
Sevastopol
Print_ISBN :
978-966-335-395-1
