Please use this identifier to cite or link to this item: https://doi.org/10.1109/URSIGASS.2011.6050841
Title: Multiple signal classification algorithm for non-destructive imaging of reinforcement bars and empty ducts in circular concrete columns
Authors: Agarwal, K. 
Chen, X. 
Pan, L.
Yeo, S.P. 
Issue Date: 2011
Source: Agarwal, K.,Chen, X.,Pan, L.,Yeo, S.P. (2011). Multiple signal classification algorithm for non-destructive imaging of reinforcement bars and empty ducts in circular concrete columns. 2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/URSIGASS.2011.6050841
Abstract: Multiple signal classification has been applied to inverse scattering problems. Here, we present a practical application of multiple signal classification related to civil engineering. The problem is to detect reinforcement bars and empty ducts in circular columns. With appropriate experimental design, multiple signal classification can be applied directly to detect reinforcement bars. However, it is extremely difficult to detect the empty ducts because of their small scattering strengths. We propose a simple two-stage MUSIC scheme capable of detecting empty ducts as well. The MUSIC shows good imaging results even in very high noise levels, upto 31%. © 2011 IEEE.
Source Title: 2011 30th URSI General Assembly and Scientific Symposium, URSIGASS 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/71057
ISBN: 9781424451173
DOI: 10.1109/URSIGASS.2011.6050841
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