Abstract
AbstractThe fact that very small aspect changes can drastically alter the profile of an aircraft implies that a huge number of profiles would be required to characterize an aircraft from all possible aspects. This make a look-up table approach to classification impractical in the short-wavelength limit. A deterministic model and a conditionally Gaussian model for high-resolution range profiles (HRRP) are used, and the recognition performance under each model are compared by using one and more than one range profile. The experimental results show that assumption of Gaussian distribution by using 10 range profiles improve the recognition performance.KeywordsHigh-resolution range profile (HRRP)Radar automatic target recognition (RATR)Bayesian classifierStatistical propriety
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
