Speed Recognition Based on Ground Vehicle in Passive Forward Scattering Radar

Authors

  • 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

Abstract

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.

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Published

2016-06-01

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

Issue

Vol. 8 No. 3: Emerging Technologies in Communication and Computer Engineering for Smart City Applications I

Section

Articles

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