scholarly journals Analysis of Time Domain Ultra-wide-band Radar Signals Reflected by Buried Objects

PIERS Online ◽  
2007 ◽  
Vol 3 (5) ◽  
pp. 662-665 ◽  
Author(s):  
Pierluigi Falorni ◽  
Lorenzo Capineri ◽  
L. Masotti ◽  
Colin G. Windsor
Author(s):  
Razvan D. Tamas ◽  
Laurence Babour ◽  
Mihai Alexa ◽  
Gabriel Vladu ◽  
Pierre Saguet ◽  
...  

Author(s):  
Shengchang Lan ◽  
Hao Li ◽  
Haoyu Tang ◽  
Zonglong He ◽  
Caitian Yang ◽  
...  

2010 ◽  
Vol 53 (2) ◽  
pp. 281-286 ◽  
Author(s):  
Razvan D. Tamas ◽  
George Caruntu ◽  
Dan Popa

2021 ◽  
pp. 1-1
Author(s):  
Amira Mimouna ◽  
Amira Mimouna ◽  
Anouar Ben Khalifa ◽  
Ihsen Alouani ◽  
Najoua Essoukri Ben Amara ◽  
...  

2017 ◽  
Vol 31 (09) ◽  
pp. 1750091 ◽  
Author(s):  
Ze-Kun Yang ◽  
Cong-Cong Cheng ◽  
Zhaobin Wang ◽  
Hong-Wei Yang

This paper is based on the general principle of beamforming algorithm of array signal processing. It gives a kind of high precision adaptive time-domain beamforming algorithm, uses ultra-wide band (UWB) microwave signal as an emission source applied to the human body in early breast cancer detection. In this paper, we build a two-dimensional, semicircle breast tissue model, use numerical simulation with finite-difference time-domain (FDTD) method for detection. The result shows the superiority of beamforming algorithm compared with that of confocal imaging algorithms and beamforming algorithms, especially to the Capon beamforming algorithm.


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