e-ISSN 2231-8542
ISSN 1511-3701

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Target Detection in Forward Scattering Radar

Mohamed Khalaf alla Hassan Mohamed, Raja Syamsul Azmir Raja Abdullah and M.F.A. Rasid

Pertanika Journal of Tropical Agricultural Science, Volume 17, Issue 2, July 2009

Keywords: Forward Scattering Radar, Hilbert Transform, Wavelet Denoise, target detection

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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.

ISSN 1511-3701

e-ISSN 2231-8542

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