Paola Pirinoli

Fast Analysis of Large Finite Arrays With a Combined Multiresolution—SM/AIM Approach

We present a synthesis of the sparse matrix/adaptive integral method (SM/AIM) and the multiresolution (MR) approach for the analysis of electrically large finite arrays, with planar or 3-D radiating elements; the two methods were separately introduced previously. The use of the MR has the effect of a preconditioner and speeds up the convergence rate of the SM/AIM of almost two orders of magnitude, with a total reduction of the numerical complexity with respect to the standard MoM of almost three orders of magnitude

Design, Optimization and Analysis of Broadband Reflectarray Antennas

This paper addresses the design of a broadband reflectarray which takes advantage of the introduction of a suitable non-conventional shape radiating element to assure a large gain bandwidth. The element shape presents sufficient degrees of freedom to compensate the frequency variation of the differential spatial phase delay even when single-layer printed patches are employed.

Near-Chebyshev Pattern for Nonuniformly Spaced Arrays Using Zeros Matching Method

An analytic method is presented to design nonuniformly spaced uniform amplitude antenna arrays (NSUAAs) to have near-Chebyshev radiation pattern. In this method, called zeros matching method (ZMM), the zeros of array factors of NSUAAs are matched with the zeros of the exact-Chebyshev pattern. Some examples are brought to verify the effectiveness of the ZMM approach for both linear and planar NSUAAs.

Quasi-multiresolution analysis of printed antennas and circuits

An innovadve technique is presented for the Integral Equation analysis of prited antennas and arrays. It is based on the defiition of multiresolution vector basis functions with properties similar to those of the scalar wavelets; in particular, they are both spatially and spectrally localized. The resultig MoM impedance matrix shows strongly improved features, and especially a good conditioning, that allows a controlled sparsification, and makes the use of iterative methods possible for the solution of the linear system. Numerical results for realistic configurations are presented.