S4

By exploiting a collaboration with Selex Sistemi Integrati and the University of Catania, LEMMA researchers developed an innovative approach to the synthesis of linear arrays having the least possible number of elements while radiating shaped beams lying in completely arbitrary power masks [1],[2]. The approach, based on theory and procedures lend from Compressive Sensing, has two innovative key features. First, it exploits as best as possible the multiplicity of equivalent field solutions corresponding to the many different power patterns lying in the given mask. Second, it a-priori optimizes those parameters that influence the performance of the Compressive Sensing procedures. The overall problem is formulated as two convex programming routines plus one local optimization, with the inherent advantages in terms of computational time and solutions’ optimality. 

1. A. F. Morabito, A. R. Laganà, G. Sorbello, and T. Isernia, “Mask-constrained power synthesis of maximally sparse linear arrays through a compressive-sensing-driven strategy,” Journal of Electromagnetic Waves and Applications, vol. 29, no. 10, pp. 1384-1396, 2015. [click here]
2. A. F. Morabito, “Synthesis of maximum-efficiency beam arrays via convex programming and compressive sensing,” IEEE Antennas and Wireless Propagation Letters, vol. 16, pp. 2404-2407, 2017. [click here]
3. M. D’Urso and T. Isernia, “Solving some array synthesis problems by means of an effective hybrid approach,” IEEE Transactions on Antennas and Propagation,vol. 55, no. 3, pp. 750-759, 2007. [click here]