An improved aerial target detection algorithm

This paper considers aerial target detection using an improved remote sensing method. The background is removed which can cause a lower signal to noise ratio (SNR) of the radio frequency (RF) signal. The singular value decomposition technique is used to extract the major components of RF signal. To...

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Bibliographic Details
Published inOptik (Stuttgart) Vol. 185; pp. 1061 - 1070
Main Author Han, Yulin
Format Journal Article
LanguageEnglish
Published Elsevier GmbH 01.05.2019
Subjects
Automatic gain control
Averaging filter
Radio frequency (RF)
Singular value decomposition
Radio frequency (RF)
Averaging filter
Singular value decomposition
Automatic gain control
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Summary:This paper considers aerial target detection using an improved remote sensing method. The background is removed which can cause a lower signal to noise ratio (SNR) of the radio frequency (RF) signal. The singular value decomposition technique is used to extract the major components of RF signal. To enhance RF signal, the automatic gain control method is employed. The maximum slope and standard deviation are used to analyze the characteristic to provide two results for aerial target detection including the azimuth information and bandwidth. These estimates are used to determine if a target is present in the detection environment. The experimental results validate the effectiveness and better capability of the proposed detection method.
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2019.03.006