دورية أكاديمية

Image-Based RCS Estimation from Near-Field Data.

التفاصيل البيبلوغرافية
العنوان: Image-Based RCS Estimation from Near-Field Data.
المؤلفون: Rajvanshi, Tushar, Maisto, Maria Antonia, Dell'Aversano, Angela, Solimene, Raffaele
المصدر: Journal of Imaging; Jun2019, Vol. 5 Issue 6, p1-13, 13p
مصطلحات موضوعية: RADAR cross sections, NEAR-fields, IMAGE analysis, FREQUENCIES of oscillating systems, DATA analysis
مستخلص: This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement curve, is developed. The developed formalism allows us to address the important question concerning the need to employ a multi-frequency configuration to estimate the RCS. Accordingly, it is shown that if RCS is required at a given frequency, then the target image obtained solely at such a frequency can be exploited provided that the spatial truncation arising from the size of the investigated area is properly taken into account. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Imaging is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:2313433X
DOI:10.3390/jimaging5060061