Wavelet Technique Implementation in Forward Scattering Radar (FSR) Ground Target Signal Processing

Abstract

Micro-sensor Forward Scattering Radar (FSR) is a network system used to detect and classify any ground target (personnel, vehicle) that is crossing by or entering its coverage area. The efficiency of the classification performance is highly dependent on the information extracted from the measured signal. The choice of transformation techniques that can reveal the information of the target should be chosen carefully. Hence, this reported work analyzed the implementation of Haar and Meyer Wavelet Technique (WT) that gives more detailed scales and variation information from the measured signals. The results from the wavelet technique show that we could find the similarity between signals of each target and dissimilarity between different targets.