Image-Based RCS Estimation from Near-Field Data

Image-Based RCS Estimation from Near-Field Data

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 addr...

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Main Authors: Tushar Rajvanshi, Maria Antonia Maisto, Angela Dell’Aversano, Raffaele Solimene
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Journal of Imaging
Subjects:
RCS estimation
image-based approach
adjoint inversion methods
Online Access:https://www.mdpi.com/2313-433X/5/6/61
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spelling doaj-007e44a8dd2946768784d714d6593a5b2020-11-24T22:01:14ZengMDPI AGJournal of Imaging2313-433X2019-06-01566110.3390/jimaging5060061jimaging5060061Image-Based RCS Estimation from Near-Field DataTushar Rajvanshi0Maria Antonia Maisto1Angela Dell’Aversano2Raffaele Solimene3Department of Engineering, University of Campania, 81031 Aversa, ItalyDepartment of Engineering, University of Campania, 81031 Aversa, ItalyDepartment of Engineering, University of Campania, 81031 Aversa, ItalyDepartment of Engineering, University of Campania, 81031 Aversa, ItalyThis 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.https://www.mdpi.com/2313-433X/5/6/61RCS estimationimage-based approachadjoint inversion methods
collection DOAJ
language English
format Article
sources DOAJ
author Tushar Rajvanshi
Maria Antonia Maisto
Angela Dell’Aversano
Raffaele Solimene
spellingShingle Tushar Rajvanshi
Maria Antonia Maisto
Angela Dell’Aversano
Raffaele Solimene
Image-Based RCS Estimation from Near-Field Data
Journal of Imaging
RCS estimation
image-based approach
adjoint inversion methods
author_facet Tushar Rajvanshi
Maria Antonia Maisto
Angela Dell’Aversano
Raffaele Solimene
author_sort Tushar Rajvanshi
title Image-Based RCS Estimation from Near-Field Data
title_short Image-Based RCS Estimation from Near-Field Data
title_full Image-Based RCS Estimation from Near-Field Data
title_fullStr Image-Based RCS Estimation from Near-Field Data
title_full_unstemmed Image-Based RCS Estimation from Near-Field Data
title_sort image-based rcs estimation from near-field data
publisher MDPI AG
series Journal of Imaging
issn 2313-433X
publishDate 2019-06-01
description 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.
topic RCS estimation
image-based approach
adjoint inversion methods
url https://www.mdpi.com/2313-433X/5/6/61
work_keys_str_mv AT tusharrajvanshi imagebasedrcsestimationfromnearfielddata
AT mariaantoniamaisto imagebasedrcsestimationfromnearfielddata
AT angeladellaversano imagebasedrcsestimationfromnearfielddata
AT raffaelesolimene imagebasedrcsestimationfromnearfielddata
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