Báo cáo hóa học: "Research Article Use of the Location Inverse Solution to Reduce Ghost Images"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Use of the Location Inverse Solution to Reduce Ghost Images | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 454705 7 pages doi 2010 454705 Research Article Use of the Location Inverse Solution to Reduce Ghost Images Yong-Zhong Hu Ting-Jun Li and Zheng-Ou Zhou School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 China Correspondence should be addressed to Yong-Zhong Hu huyz@ Received 22 January 2009 Revised 31 July 2009 Accepted 7 October 2009 Academic Editor Carlos Lopez-Martinez Copyright 2010 Yong-Zhong Hu et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Through-the-wall imaging TWI is a difficult but important task for both law enforcement and military missions. Acquiring information on both the internal features of a structure and the location of people inside plays an important role in many fields such as antiterrorism hostage search and rescue and barricade situations. Up to now a number of promising experimental systems have been developed to validate and evaluate diverse imaging methods most of which are based on a linear antenna array to obtain an image of the objects. However these methods typically use the backward projection BP algorithm based on ellipse curves which usually generates additional ghost images. In this paper the algorithm using the location inverse solution LIS to reduce the ghost images is proposed and simulated. The results of simulation show that this approach is feasible. 1. Introduction Imaging through obstacles such as walls doors and other visually opaque materials using microwave signals is considered a powerful tool for a variety of applications in both military missions and commercial enterprises. To achieve two-dimensional image reconstruction requires the resolution of scattered objects in both

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