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Sensors 2016, 16(10), 1607; doi:10.3390/s16101607

Analysis on Target Detection and Classification in LTE Based Passive Forward Scattering Radar

1
Wireless and Photonic Networks Research Centre, Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang 43400, Malaysia
2
Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam 40450, Malaysia
*
Author to whom correspondence should be addressed.
Academic Editor: Scott Palo
Received: 21 April 2016 / Revised: 18 July 2016 / Accepted: 16 August 2016 / Published: 29 September 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [5250 KB, uploaded 29 September 2016]   |  

Abstract

The passive bistatic radar (PBR) system can utilize the illuminator of opportunity to enhance radar capability. By utilizing the forward scattering technique and procedure into the specific mode of PBR can provide an improvement in target detection and classification. The system is known as passive Forward Scattering Radar (FSR). The passive FSR system can exploit the peculiar advantage of the enhancement in forward scatter radar cross section (FSRCS) for target detection. Thus, the aim of this paper is to show the feasibility of passive FSR for moving target detection and classification by experimental analysis and results. The signal source is coming from the latest technology of 4G Long-Term Evolution (LTE) base station. A detailed explanation on the passive FSR receiver circuit, the detection scheme and the classification algorithm are given. In addition, the proposed passive FSR circuit employs the self-mixing technique at the receiver; hence the synchronization signal from the transmitter is not required. The experimental results confirm the passive FSR system’s capability for ground target detection and classification. Furthermore, this paper illustrates the first classification result in the passive FSR system. The great potential in the passive FSR system provides a new research area in passive radar that can be used for diverse remote monitoring applications. View Full-Text
Keywords: passive forward scattering radar sensor; target detection; target classification passive forward scattering radar sensor; target detection; target classification
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MDPI and ACS Style

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

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