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Demonstration of a Speckle Based Sensing with Pulse-Doppler Radar for Vibration Detection

Faculty of Engineering and the Nano Technology Center, Bar-Ilan University, Ramat-Gan 52900, Israel
ELTA Systems Ltd., P.O.B. 330 Ashdod 7710202, Israel
Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1409;
Received: 12 March 2018 / Revised: 4 April 2018 / Accepted: 11 April 2018 / Published: 3 May 2018
(This article belongs to the Special Issue Smart Sensing System for Real-Time Monitoring)
PDF [3776 KB, uploaded 24 May 2018]


In previous works, an optical technique for extraction and separation of remote static vibrations has been demonstrated. In this paper, we will describe an approach in which RF speckle movement is used to extract remote vibrations of a static target. The use of conventional radar Doppler methods is not suitable for detecting vibrations of static targets. In addition, the speckle method has an important advantage, in that it is able to detect vibrations at far greater distances than what is normally detected in classical optical methods. The experiment described in this paper was done using a motorized vehicle, which engine was turned on and off. The results showed that the system was able to distinguish between the different engine states, and in addition, was able to determine the vibration frequency of the engine. The first step towards real time detection of human vital signs using RF speckle patterns is presented. View Full-Text
Keywords: antenna; optical scattering; Pulse-Doppler Radar; receiver; speckle; transmitter antenna; optical scattering; Pulse-Doppler Radar; receiver; speckle; transmitter

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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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Ozana, N.; Bauer, R.; Ashkenazy, K.; Sasson, N.; Schwarz, A.; Shemer, A.; Zalevsky, Z. Demonstration of a Speckle Based Sensing with Pulse-Doppler Radar for Vibration Detection. Sensors 2018, 18, 1409.

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