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Stefano Perna

Researcher at National Research Council

Publications -  90
Citations -  1118

Stefano Perna is an academic researcher from National Research Council. The author has contributed to research in topics: Synthetic aperture radar & Radar imaging. The author has an hindex of 15, co-authored 86 publications receiving 987 citations. Previous affiliations of Stefano Perna include Parthenope University of Naples & University of Naples Federico II.

Papers
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Motion compensation errors: effects on the accuracy of airborne SAR images

TL;DR: In this paper, the effect of residual uncompensated motion errors due to positioning measurement instrument and digital elevation model inaccuracies on the accuracy of airborne synthetic aperture radar (SAR) images is studied.
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Efficient simulation of airborne SAR raw data of extended scenes

TL;DR: It is shown that the narrow-beam-slow-deviation assumption can be relaxed, at the expense of computation efficiency, if use is made of one-dimensional azimuth Fourier domain processing followed by range time-domain integration.
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On center-beam approximation in SAR motion compensation

TL;DR: This work provides a geometrical analysis to assess the effects of center-beam approximation, crucial for efficient airborne raw data focusing, on the final image.
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SAR Sensor Trajectory Deviations: Fourier Domain Formulation and Extended Scene Simulation of Raw Signal

TL;DR: This paper obtains a general and compact Fourier domain formulation of the SAR raw signal in the presence of arbitrary trajectory deviations, and demonstrates that, if a narrow beam and slow trajectory deviation assumption is made, a full 2-D Fourierdomain simulation can be used.
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A Deterministic Two Dimensional Density Taper Approach for Fast Design of Uniform Amplitude Pencil Beams Arrays

TL;DR: In this paper, a deterministic approach for fast design of aperiodic concentric ring arrays is proposed, which exploits easily obtained optimal continuous planar solutions, accounts for the geometric properties of the array element and allows, once the central geometry of an array (that is, at least the most internal ring) is fixed, to compute in an iterative, very fast way the whole geometry of the density-tapered concentric circle array.