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DC Field | Value | Language |
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dc.contributor.author | zanoon | |
dc.contributor.author | t. | |
dc.date.accessioned | 2020-02-04T08:42:45Z | - |
dc.date.available | 2020-02-04T08:42:45Z | - |
dc.date.issued | 2016 | |
dc.identifier.uri | http://repository.aaup.edu/jspui/handle/123456789/537 | - |
dc.description.abstract | Abstract: 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.publisher | IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE) | |
dc.title | Disaster Recovery and Through Rubble Detection by Means of Quasi-Real Time UWB Multilateration Reconstruction | |
dc.type | Conference Paper | |
Appears in Collections: | Faculty & Staff Scientific Research publications |
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