This paper presents a reconstruction approach which exploits the field detected by a holographic radar in order to localize and geometrically qualify a set of scattering objects. In particular, thanks to the adoption of the Kirchhoff Approximation, the problem is formulated as a linear inverse one wherein the unknown function is the characteristic function accounting for the support (location and geometry) of the target (s). The reconstruction performances of the approach are investigated through an accurate numerical analysis, and an experimental validation is also performed with the aim of testing the effectiveness and the practical relevance of the proposed method.
A Simple Processing Approach for Holographic Rascan Data
Soldovieri F;
2010
Abstract
This paper presents a reconstruction approach which exploits the field detected by a holographic radar in order to localize and geometrically qualify a set of scattering objects. In particular, thanks to the adoption of the Kirchhoff Approximation, the problem is formulated as a linear inverse one wherein the unknown function is the characteristic function accounting for the support (location and geometry) of the target (s). The reconstruction performances of the approach are investigated through an accurate numerical analysis, and an experimental validation is also performed with the aim of testing the effectiveness and the practical relevance of the proposed method.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
