Lorenzo Lo Monte, Ph.D.

Affiliations: 
2009 Electrical and Computer Engineering University of Dayton, Dayton, OH, United States 
Area:
Electronics and Electrical Engineering, Radar
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"Lorenzo Lo Monte"

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Danilo Erricolo grad student 2009 University of Illinois, Chicago
 (Radio frequency tomography for underground void detection.)
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Publications

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Guzel Y, Tran T, Wicks MC, et al. (2015) RF tomography for Ground Penetrating Radar: Simulation and experimentation Ieee National Radar Conference - Proceedings. 2015: 1531-1535
Nassib A, Negishi T, Erricolo D, et al. (2015) A dyadic target model for multistatic SAR/ISAR imaging Ieee National Radar Conference - Proceedings. 2015: 1509-1514
Erricolo D, Griffiths H, Teng L, et al. (2014) On the spectrum sharing between radar and communication systems Proceedings - 2014 International Conference On Electromagnetics in Advanced Applications, Iceaa 2014. 890-893
Picco V, Negishi T, Erricolo D, et al. (2014) Dyadic contrast function for RF tomography: Preliminary results 2014 Ieee Conference On Antenna Measurements and Applications, Cama 2014
Negishi T, Picco V, Spitzer D, et al. (2013) Imaging behind obstacles using only diffracted fields 2013 Usnc-Ursi Radio Science Meeting (Joint With Ap-S Symposium), Usnc-Ursi 2013 - Proceedings. 36
Lo Monte L, Wicks MC, Barott WC. (2013) RF Tomography using radars of opportunity: Theory and experimental validation Ieee National Radar Conference - Proceedings
Lo Monte L, Soldovieri F, Erricolo D, et al. (2012) A comprehensive forward model for imaging under irregular terrain using RF tomography International Journal of Antennas and Propagation. 2012
Vela R, Lo Monte L. (2012) Noisy Stepped Frequency (NSF) waveform in RF tomography Proceedings of Spie - the International Society For Optical Engineering. 8361
Lo Monte L, Soldovieri F, Erricolo D, et al. (2012) Imaging below irregular terrain using RF tomography Ieee Transactions On Geoscience and Remote Sensing. 50: 3364-3373
Soldovieri F, Lo Monte L, Erricolo D. (2012) Tunnel detection and localisation via multi-monostatic radio frequency tomography using magnetic sources Iet Radar, Sonar and Navigation. 6: 834-845
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