Speed Recognition Based on Ground Vehicle in Passive Forward Scattering Radar


  • Noor Hafizah Abdul Aziz Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
  • Raja Syamsul Azmir Raja Abdullah Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 UPM Serdang, Selangor, Malaysia


The merging of noise reduction and reshaped of the signal in time domain is headed to newfangled clustering methods. After a deep investigation on pre-processing the detection of ground vehicle using passive forward scattering radar (PFSR), principal component analysis (PCA) could be used as spectral signature for target’s speed recognition. The clustering-based PCA able to distinguish the target’s rapidity from the passive forward scattering radar receiver. A small five door hatchback vehicle is used for detection as ground vehicle with several speed and various distance from the passive forward scattering radar receiver. The distance give impact to the clustering-based PCA which is closer vehicle to the passive forward scattering radar offers finer variance of training data in speed recognition.


J.I. Glaser, “Forward scatter radar for future systems,” The WSTIAC Quarterly, vol. 10, no. 3, pp. 3-8, 2011.

N.H. Abdul Aziz and R.S.A. Raja Abdullah , “Baseline recognizing on ground moving target detection via clustering based PCA,” International Journal of Applied Engineering Research (IJAER), vol. 10, no. 89, Special Issues, pp.12-16, 2015.

I.T. Jolliffe , “Principal Component Analysis,” Springer Series in Statistics, 2nd ed., Springer, NY, XXIX, vol. 487 pp. 28, 2002.

S. Lloyd, “Least squares quantization in PCM,” IEEE Trans. Inf. Theory, vol. 28, no. 2, pp. 129–137, Mar. 1982.

R. Rajapriyadharshini , “SAR Image Denoising for reducing the speckle noise via clustering based principle component analysis,” Taraksh Journal of Web Services, vol. 1, pp. 20-28, 2014.

X. Linlin, L. Jonathan, S. Yuanming, P. Junhuan , “SAR image denoising via clustering based principal component analysis,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, pp. 11, 2014.

Fast Fourier Transform. Wikimedia Foundation. [Online]. Available:

https://en.wikipedia.org/wiki/Fast_Fourier_transform#cite_noteHeideman84-2. [Accessed: 19-May-2015].

P.D. Welch, “The use of Fast Fourier Transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms,” IEEE Transactions on Audio Electroacoustics, AU-15, pp.70-73, 1967.

Gashinova, M., Daniel, L., Kabakchiev, K., Sizov, V., Hoare, E. and Cherniakov, M, “Phenomenology of signals in FSR for surface targets detection,” RADAR 2012, Glasgow, UK, pp. 6, 2012.




How to Cite

Abdul Aziz, N. H., & Raja Abdullah, R. S. A. (2016). Speed Recognition Based on Ground Vehicle in Passive Forward Scattering Radar. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(3), 133–137. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1018