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Remote Sens. 2017, 9(7), 699;

Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System

Wireless and Photonic Networks Research Centre, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang Selangor, Malaysia
Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
Author to whom correspondence should be addressed.
Academic Editors: Francesco Soldovieri, Raffaele Persico, Xiaofeng Li and Prasad S. Thenkabail
Received: 27 April 2017 / Revised: 23 June 2017 / Accepted: 5 July 2017 / Published: 6 July 2017
(This article belongs to the Special Issue Radar Systems for the Societal Challenges)
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Micro-Doppler signature can convey information of detected targets and has been used for target recognition in many Radar systems. Nevertheless, micro-Doppler for the specific Forward Scattering Radar (FSR) system has yet to be analyzed and investigated in detail; consequently, information carried by the micro-Doppler in FSR is not fully understood. This paper demonstrates the feasibility and effectiveness of FSR in detecting and extracting micro-Doppler signature generated from a target’s micro-motions. Comprehensive theoretical analyses and simulation results followed by experimental investigations into the feasibility of using the FSR for detecting micro-Doppler signatures are presented in this paper. The obtained results verified that the FSR system is capable of detecting micro-Doppler signature of a swinging pendulum placed on a moving trolley and discriminating different swinging speeds. Furthermore, human movement and micro-Doppler from hand motions can be detected and monitored by using the FSR system which resembles a potential application for human gait monitoring and classification. View Full-Text
Keywords: micro Doppler signature; forward scatter radar; swinging pendulum; human gait micro Doppler signature; forward scatter radar; swinging pendulum; human gait

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Abdullah, R.S.A.R.; Alnaeb, A.; Salah, A.A.; Rashid, N.E.A.; Sali, A.; Pasya, I. Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System. Remote Sens. 2017, 9, 699.

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