Please use this identifier to cite or link to this item: http://repository.aaup.edu/jspui/handle/123456789/537
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dc.contributor.authorzanoon
dc.contributor.authort.
dc.date.accessioned2020-02-04T08:42:45Z-
dc.date.available2020-02-04T08:42:45Z-
dc.date.issued2016
dc.identifier.urihttp://repository.aaup.edu/jspui/handle/123456789/537-
dc.description.abstractAbstract: This paper presents a quasi-real time UWB image reconstruction method capable of detecting minute movements of victims trapped under rubble, including respiration movements. The approach is based on multi-static measurements of a C-shaped sensor array scanner arranged for a limited view imaging geometry where data is repetitively and continuously collected over small time intervals. Reconstruction is based on a multi-static multilateration method which correlates the movements captured by subtracting successive signals obtained from each transmitter-receiver pair into a point on the image, without the need of wall parameter estimations or priori information. Images processing requires 0.36 seconds on a standard desktop PC, offering nearly 3 frames/sec. Results based on several numerical experiments of varying complexity are presented and discussed. DOI: 10.1109/APACE.2016.7916460
dc.publisherIEEE Asia-Pacific Conference on Applied Electromagnetics (APACE)
dc.titleDisaster Recovery and Through Rubble Detection by Means of Quasi-Real Time UWB Multilateration Reconstruction
dc.typeConference Paper
Appears in Collections:Faculty & Staff Scientific Research publications

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