Sensitivity Analysis of Wiener Filter-Based Synthetic Aperture Radar (SAR) Microwave Imaging Technique
Abstract
Previously, a Wiener filter-based synthetic aperture radar (SAR) technique was developed to successfully image embedded objects in a general layered structure. The results of the imaging technique were then verified through performing extensive measurements. Here, the sensitivity of this technique to different critical parameters is investigated using a full-wave electromagnetic simulation software. These parameters include those related to the sample being imaged (e.g., electrical properties of layers), those related to measurements (e.g., electromagnetic wave polarization), and those associated with the modeling process (e.g., electrical properties of layers used in the image reconstruction procedure).
Recommended Citation
M. B. Fallahpour and R. Zoughi, "Sensitivity Analysis of Wiener Filter-Based Synthetic Aperture Radar (SAR) Microwave Imaging Technique," Proceedings of the IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Sustainable Development (2014, Montevideo, Uruguay), pp. 1212 - 1215, Institute of Electrical and Electronics Engineers (IEEE), May 2014.
The definitive version is available at https://doi.org/10.1109/I2MTC.2014.6860936
Meeting Name
IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Sustainable Development (2014: May 12-15, Montevideo, Uruguay)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Image Reconstruction; Imaging Systems; Planning; Sensitivity Analysis; Structural Health Monitoring; Sustainable Development; Embedded Object; Filter-Based; Full-Wave Electromagnetic Simulation; Layered Structures; Microwave Imaging; Modeling Process; Reconstruction Procedure; Synthetic Aperture Radar
International Standard Book Number (ISBN)
978-1467363853
International Standard Serial Number (ISSN)
1091-5281
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 May 2014