Abstract
Correlation coefficients of Pythagorean hesitant fuzzy sets and their applicationto radar LPI performance evaluation
Highlights
With the development of modern warfare, the low probability of intercept (LPI) performance of radar has become more and more important [1]
This study proposes a LPI performance evaluation system based on correlation coefficients of Pythagorean hesitant fuzzy sets (PHFSs)
It is apparent that there are no studies involving the use of PHFSs to estimate radar LPI performance before
Summary
With the development of modern warfare, the low probability of intercept (LPI) performance of radar has become more and more important [1]. This study proposes a LPI performance evaluation system based on correlation coefficients of Pythagorean hesitant fuzzy sets (PHFSs). Considering several aspects that may pose threats to radar stealth performance, the paper uses a multidomain evaluation method, which gets rid of the “intercepting-receiving” scenario This method has six indices, including spatial, time, frequency, polarization status, energy status, and waveform domains. This paper proposes the correlation coefficients of Pythagorean hesitant fuzzy sets and derives their properties. The method takes account of membership, nonmembership, and hesitation information, which is suitable to evaluate the radar LPI performance. This paper, from the perspective of radar radiating, proposes a multidomain evaluation method, which includes spatial, time, frequency, polarization, energy, and waveform domains. Where l and k denote the number of values in hF (x) and gF (x) , respectively
Sign-in/Register to view highlights & summary 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 callMore From: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
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.
