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Article

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

1
Wireless and Photonic Networks Research Centre, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang Selangor, Malaysia
2
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
Remote Sens. 2017, 9(7), 699; https://doi.org/10.3390/rs9070699
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)
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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MDPI and ACS Style

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. https://doi.org/10.3390/rs9070699

AMA Style

Abdullah RSAR, Alnaeb A, Salah AA, Rashid NEA, Sali A, Pasya I. Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System. Remote Sensing. 2017; 9(7):699. https://doi.org/10.3390/rs9070699

Chicago/Turabian Style

Abdullah, Raja Syamsul Azmir Raja, Ali Alnaeb, Asem Ahmad Salah, Nur Emileen Abdul Rashid, Aduwati Sali, and Idnin Pasya. 2017. "Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System" Remote Sensing 9, no. 7: 699. https://doi.org/10.3390/rs9070699

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