An innovative approach in its different implementations for the synthesis of compromise sum and difference patterns of monopulse planar arrays is presented. The synthesis method is based on a sub-arraying technique aimed at generating the compromise patterns through an optimal excitation matching procedure. By exploiting some properties of the solution space, the synthesis problem is reformulated as a combinatorial one to allow a considerable saving of computational resources. Thanks to a graph-based representation of the solution space, the use of an efficient path-searching algorithm is enabled to speed up the convergence to the compromise solution. In the numerical validation, a set of representative examples concerned with both pattern matching problems and pattern-feature optimization are reported in order to assess the effectiveness and flexibility of the proposed approach. Comparisons with previously published results and solutions obtained by a hybrid version of the approach customized to deal with the optimization of the sidelobe level (SLL) are reported and discussed, as well.

A fast graph-searching algorithm enabling the efficient synthesis of sub-arrayed planar monopulse antennas

Manica, Luca;Rocca, Paolo;Benedetti, Manuel;Massa, Andrea
2009-01-01

Abstract

An innovative approach in its different implementations for the synthesis of compromise sum and difference patterns of monopulse planar arrays is presented. The synthesis method is based on a sub-arraying technique aimed at generating the compromise patterns through an optimal excitation matching procedure. By exploiting some properties of the solution space, the synthesis problem is reformulated as a combinatorial one to allow a considerable saving of computational resources. Thanks to a graph-based representation of the solution space, the use of an efficient path-searching algorithm is enabled to speed up the convergence to the compromise solution. In the numerical validation, a set of representative examples concerned with both pattern matching problems and pattern-feature optimization are reported in order to assess the effectiveness and flexibility of the proposed approach. Comparisons with previously published results and solutions obtained by a hybrid version of the approach customized to deal with the optimization of the sidelobe level (SLL) are reported and discussed, as well.
2009
3
Manica, Luca; Rocca, Paolo; Benedetti, Manuel; Massa, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/78964
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