Physics-Aware Processing of Rotational Micro-Doppler Signatures for DBN-Based UAS Classification Radar

Madanayake, Arjuna; Mendis, Gihan J.; Pulipati, Sravan; Randeny, Tharindu; Bhardwaj, Shubhendu; Wang, Xin; Mandal, Soumyajit; Jin, Wei

doi:10.1109/rfid49298.2020.9244873

Cited by 1 publication

(1 citation statement)

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“…The micro-Doppler signature [23] of the targets with rotating and vibrating parts such as multi-copter drones [24]- [26] and human body [27]- [29] have been widely studied for classification goal. In these works, since the back-scattering profile of the targets are unknown it is necessary to use a time-consuming and complex classification process based on data mining and machine learning methods like artificial neural networks.…”

Section: Introductionmentioning

confidence: 99%

Chipless RFID Based on Micro-Doppler Effect

Azarfar

Barbot

Perret

2022

IEEE Trans. Microwave Theory Techn.

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This paper demonstrates how motion effect can be exploited to read moving chipless RFID tags at larger distances compared to what has been reached without benifitly taking into account the movement. According to the Doppler effect, due to the time-variant behaviour of moving chipless tags, the tag back-scattered field contains frequency components different from those are transmitted. These motion-induced frequency components can be utilized to efficiently detect the tag at large distances, in a real environment composed of stationary objects. A circuit based analytical model verified by full-wave simulations, is presented to effectively predict the quasi-stationary backscattered field from moving scatterers, with fast computation process. The developed analytic model is applied to rotating dipole scatterers and is used to design chipless tags including an identifier. In term of identification, good agreement is observed between the measurement results and those are predicted by the model. Finally, read range enhancement is proved experimentally by a real environment measurement where the chipless tags are readable at distances up to several meters.

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