Abstract

Multiple scattering and random interactions among scattering elements and between the scatterers and the background adversely affect the radar image quality and target detection capability. In the radar image, multiple scattering and interactions appear as non-physical scattering centers. A method to improve the performance of radar imaging systems by extracting independent scattering centers is investigated in this study. Independent Component Analysis (ICA) is applied to returns of a radar system to extract independent scattering centers based on their non-Gaussianity. As an example, this method of target extraction is implemented in inverse synthetic aperture radar (ISAR) imaging of closely-spaced targets. Results of this study show that the application of this radar signal processing technique has allowed extraction of independent scattering centers which are needed in target detection and identification.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.