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International Journal of Antennas and PropagationVolume 2013 2013, Article ID 206173, 13 pages

Research Article

Department DIET, University of Rome -La Sapienza-, Via Eudossiana 18, 00184 Rome, Italy

Consorzio SESM, Via Tiburtina 1238, 00131 Rome, Italy

Selex ES, A Finmeccanica Company, Via Tiburtina Km 12.400, 00131 Rome, Italy

Received 5 April 2013; Accepted 13 October 2013

Academic Editor: Ulrich Nickel

Copyright © 2013 P. Lombardo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A new approach is presented for the optimized design of a planar thinned array; the proposed strategy works with single antenna elements or with small sets of different subarray types, properly located on a planar surface. The optimization approach is based on the maximization of an objective function accounting for side lobe level and considering a fixed number of active elements-subarrays. The proposed technique is suitable for different shapes of the desired output array, allowing the achievement of the desired directivity properties on the corresponding antenna pattern. The use of subarrays with a limited number of different shapes is relevant for industrial production, which would benefit from reduced design and manufacturing costs. The resulting modularity allows scalable antenna designs for different applications. Moreover, subarrays can be arranged in a set of subapertures, each connected to an independent receiving channel. Therefore, adaptive processing techniques could be applied to cope with and mitigate clutter echoes and external electromagnetic interferences. The performance of adaptive techniques with subapertures taken from the optimized thinned array is evaluated against assigned clutter and jamming scenarios and compared to the performance achievable considering a subarray based filled array with the same number of active elements.

Autor: P. Lombardo, R. Cardinali, M. Bucciarelli, D. Pastina, and A. Farina



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