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Target detection in forward scattering radar


Mohamed, Mohamed Khalaf Alla Hassan and Raja Abdullah, Raja Syamsul Azmir and A. Rasid, Mohd Fadlee (2009) Target detection in forward scattering radar. Pertanika Journal of Science & Technology, 17 (2). pp. 245-262. ISSN 0128-7680; ESSN: 2231-8526

Abstract / Synopsis

This paper analyses electromagnetic signal scattered from the target crossing the Forward Scattering Radar (FSR) system baseline. The aim of the analysis was to extract the Doppler signal of a target under the influence of high ground clutter and noise interference. The extraction was used for the automatic target detection (ATD) in the FSR system. Two extraction methods, namely Hilbert Transform and Wavelet Technique, were analyzed. The detection using the Hilbert Transform is only applicable for some conditions; however, the detection using the Wavelet Technique is more robust to any clutter and noise level. From 55 sets of signal, only 4% of false alarm was detected or occurred when the Wavelet Technique was applied as a detection scheme. Two sets of field experimentation were carried out and the target's signal under the influence of high clutter had successfully been detected using the proposed method.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Forward scattering radar; Hilbert transform; Wavelet denoise; Target detection
Depositing User: Noor Syafini Zamani
Date Deposited: 20 Nov 2015 12:41
Last Modified: 29 Sep 2016 17:10
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