Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System
AbstractMicro-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
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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.
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.Chicago/Turabian Style
Abdullah, Raja Syamsul Azmir Raja; Alnaeb, Ali; Salah, Asem Ahmad; Rashid, Nur Emileen Abdul; Sali, Aduwati; Pasya, Idnin. 2017. "Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System." Remote Sens. 9, no. 7: 699.
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