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Báo cáo hóa học: " Research Article Wavefront Reconstruction of Elevation Circular Synthetic Aperture Radar Imagery Using a Cylindrical Green’s Function"

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 Wavefront Reconstruction of Elevation Circular Synthetic Aperture Radar Imagery Using a Cylindrical Green’s Function | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 657323 12 pages doi 10.1155 2010 657323 Research Article Wavefront Reconstruction of Elevation Circular Synthetic Aperture Radar Imagery Using a Cylindrical Green s Function Daniel Flores-Tapia 1 Gabriel Thomas 2 and Stephen Pistorius1 3 4 1 Division of Medical Physics CancerCare Manitoba Winnipeg MB Canada R3E 0V9 2Department of Electrical and Computer Engineering University of Manitoba Winnipeg MB Canada R3T 5V6 3 Department of Radiology University of Manitoba Winnipeg MB Canada R3E3P5 4 Department of Physics and Astronomy University of Manitoba Winnipeg MB Canada R3T2N2 Correspondence should be addressed to Daniel Flores-Tapia dflores@ee.umanitoba.ca Received 1 June 2009 Accepted 30 October 2009 Academic Editor Laurent Ferro-Famil Copyright 2010 Daniel Flores-Tapia 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. Elevation Circular Synthetic Aperture Radar E-CSAR is a novel radar modality used to form radar images from data sets acquired along a complete or even a segment of a cylindrical geometry above a given scan area. Due to the nonlinear nature of the target signatures on the E-CSAR data sets the collected data must be focused. In this paper a novel E-CSAR reconstruction algorithm is proposed. The proposed method uses a new formulation of the Green s function of an E-CSAR scan geometry in which the phase components introduced by the scan geometry can be clearly identified and their effects can be effectively compensated. Additionally theoretical aspects of the point spread function related to this new Green s function were determined. The feasibility of the proposed technique was assessed using experimental data sets. The proposed method yielded spatially accurate images and exhibited an .