Baseline Classification Based PCA on Human in Passive Forward Scattering Radar

Authors

  • N.H. Abdul Aziz Antenna Research Group, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, 40450, Selangor, Malaysia. Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.
  • N.N. Nasir Antenna Research Group, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, 40450, Selangor, Malaysia.
  • M.T. Ali Antenna Research Group, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, 40450, Selangor, Malaysia.

Keywords:

Forward Scatter Radar, Human, Passive, Principal Component Analysis,

Abstract

First and foremost, one purpose of this radar is for detecting objects that passes through the system, whereby the detecting angle is near 180 degrees. Passive radar detects presence in terms of direction and speed of aircrafts, ships and other objects at receiver baseline, by receiving illumination source from a commercial transmitter. The system of radar consists of a receiver that functions to determine the properties of the passing object. There are many techniques that can be used in passive radar but in this study, the forward scattering technique is used for detecting human Doppler signature at receiver baseline to the classification system. A commercially available telecommunication antenna is used as the transmitter, which transmits electromagnetic wave that is received by a receiver antenna. We called this system passive radar because it does not emit any waves of its own. The data of Doppler signature is produced when an object passes through the transmitter and receiver. Then, the data received by the receiver is collected and analyzed using MATLAB software. The data collection was implemented near the seaside at Morib beach, Malaysia. We have identified the site as having a strong signal of LTE with a signal frequency of 1.8 GHz and 2.6 GHz.

References

Venu D and Koteshwaea N V, “A Cross-Correlation Approach To Determine Target Range In Passive Radar Using FM Broadcast Signals”, IEEE WiSPNET 2016 Conference, 2016.

Yu X and Jiao T J, “A New Use of UWB Radar to Detecting Victims and Discriminating Humans from Animals”, 16th International Conference of Ground Penetrating Radar (GPR), 2016.

Yamada H, “Indoor Human Detection by Using Quasi-MIMO Doppler Radar”; The 2015 International Workshop on Antenna Technology, 2015.

Kabakchiev H” Experimental Verification of Maritime Target Parameter Evaluation in FSR”, Published in IET Radar, Sonar & Navigation, 2014.

Falconi M T, Comite D, Marzone F S,” Analysis of Canonical Targets in Near Field for Forward Scatter Radar”, Proceeding of the Radar Conference, 2016.

Raja Abdullah R S A and Ismail A, “Forward Scattering Radar: Current and Future Applications”, International Journal of Engineering and Technology, 3, pp.61-67, Oct. 2006.

Raja Abdullah R S A, Abdul Aziz N H, Abdul Rashid N E, Salah A and Hashim F, “Analysis on Target Detection and Classification in LTE Based Passive Forward Scattering Radar”, Sensor 2016, 16, 1607.

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Published

2018-02-05

How to Cite

Abdul Aziz, N., Nasir, N., & Ali, M. (2018). Baseline Classification Based PCA on Human in Passive Forward Scattering Radar. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-5), 47–50. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3624

Issue

Vol. 10 No. 1-5: Breakthrough To Excellence in Communication and Computer Engineering II

Section

Articles

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