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

Kama Azura Othman, Mohd Ikhwan Jusoh, Nur Emileen Abd Rashid, Che Wan Fareez Che Wan Fadhil


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.


Forward Scattering Radar (FSR); Wavelet Technique (WT); Feature Extraction;

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Rashid N. E. A., M. A., Jancovic P., Sizov V., Abdullah R., Cherniakov M. 2011. Automatic Target Classification in a Low Frequency FSR Network. IEEE.

Sifuzzaman M., Islam M. R., and Ali M. Z. 2009. Application of Wavelet Transform and its Advantages Compared to Fourier

Transform. Journal of Physical Sciences. 13: 121-134.

Yunhui, S. and Qiuqi R. 2005. Continuous wavelet transforms. in Signal Processing, 2004. Proceedings. ICSP'04. 2004 7th International Conference. IEEE.

Heil, C.E. and Walnut D.F. 1989. Continuous and discrete wavelet transforms. SIAM review. 31(4): 628-666.

Meyer Y. 1990. Ondelettes et Operateurs, Hermann.[6] Dghais A. A. A. and Ismail M. T. 2013. A Comparative Study

between Discrete Wavelet Transform and Maximal Overlap Discrete Wavelet Transform for Testing Stationary. International Science Index. 7(12).

Donoho D., Kerkyacharian G., and Picard D. 1995. Wavelet

shrinkage: Asymptopia? J. Roy. Sat. Soc., 1995. 57: 301-369.

Lepik, Ü. 2007. Application of the Haar wavelet transform to solving integral and differential equations. in Proceedings of the Estonian Academy of Sciences, Physics, Mathematics.

Ngui, W.K., et al. 2013. Wavelet Analysis: Mother Wavelet Selection Methods. Applied Mechanics and Materials, 2013. 393: 953-958.

Wavelet Families. 2014. Retrieved from


Skolnik, M.I., An Analysis of Bistatic Radar. Aerospace and Navigational Electronics, IRE Transactions on, 1961. ANE-8(1): 19-27.


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