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 FILIPPOPrimo
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.