The approximate forward propagation (AFP) algorithm is a new shape reconstruction method, which consists of the minimization of the far zone defect norm with respect to the unknown shape parameters. AFP relies on an algebraic relation between least square coefficients, which represent the scattered electric field on the obstacle boundary, and the far zone scattering coefficients. The algorithm is applied to the inversion of a set of the experimental Ipswich data. In order to justify the effectiveness of AFP, a preliminary convergence result is stated for obstacles which comply with the Rayleigh hypothesis and other, more restrictive conditions.

Crosta, G. (1998). Projection methods and obstacle shape identification from radar {cross section, phase data}. In A. Franchois (a cura di), Proceedings of the PIERS Workshop on Advances in Radar Methods (pp. 201-203). Luxembourg : Commission of Eur. Communities.

Projection methods and obstacle shape identification from radar {cross section, phase data}

CROSTA, GIOVANNI FRANCO FILIPPO
Primo
1998

Abstract

The approximate forward propagation (AFP) algorithm is a new shape reconstruction method, which consists of the minimization of the far zone defect norm with respect to the unknown shape parameters. AFP relies on an algebraic relation between least square coefficients, which represent the scattered electric field on the obstacle boundary, and the far zone scattering coefficients. The algorithm is applied to the inversion of a set of the experimental Ipswich data. In order to justify the effectiveness of AFP, a preliminary convergence result is stated for obstacles which comply with the Rayleigh hypothesis and other, more restrictive conditions.
Capitolo o saggio
electromagnetic wave scattering; least squares approximations; minimisation; parameter estimation; radar cross-sections; radar target; recognition; radar theory; approximate forward propagation; shape reconstruction; minimization; far-zone defect norm; unknown shape parameters; least; square coefficients; scattered electric field; obstacle boundary; far-zone scattering coefficients; convergence result; Rayleigh hypothesis; projection methods; obstacle shape identification; phase data.
English
Proceedings of the PIERS Workshop on Advances in Radar Methods
Franchois, A
1998
92-828-1947-7
Commission of Eur. Communities
201
203
Crosta, G. (1998). Projection methods and obstacle shape identification from radar {cross section, phase data}. In A. Franchois (a cura di), Proceedings of the PIERS Workshop on Advances in Radar Methods (pp. 201-203). Luxembourg : Commission of Eur. Communities.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/93735
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