In this paper, the extension of the Contiguous Partition Method (CPM) from linear to planar arrays is described and assessed. By exploiting some properties of the solution space, the generation of compromise sum-difference patterns is obtained through an optimal excitation matching procedure based on a combinatorial method. The searching of the solution is carried out thanks to an efficient path-searching algorithm aimed at exploring the solution space represented in terms of a graph. A set of representative results are reported for the assessment as well as for comparison purposes. The final version of this article is available at the url of the journal PIERB http://www.jpier.org/PIERB
Abstract An approach for the synthesis of sum and difference patterns in monopulse antennas is descr...
The stringent specifications of modern tracking systems demand antennas of high performance. For thi...
Dealing with the synthesis of monopulse array antennas, many stochastic optimization algorithms have...
In this paper, the extension of the Contiguous Partition Method (CPM) from linear to planar arrays i...
The synthesis of compromise sum and difference patterns of large planar arrays is addressed in this ...
In this paper, an innovative approach in its different implementations for the synthesis of compromi...
In this paper, an innovative approach for the synthesis of sub-arrayed monopulse linear arrays is pr...
In this paper, the Contiguous Partition Method (CPM) is applied to the optimization of the directivi...
The synthesis of “optimal” compromise sum and difference patterns subject to arbitrary sidelobe boun...
In this paper, three approaches for the synthesis of the optimal compromise between sum and differen...
An innovative synthesis procedure to design sub-arrayed antennas affording multiple patterns is pres...
Dealing with an excitation matching method, this paper presents a global optimization strategy for t...
A new approach for the synthesis of both sum and difference antenna pattern is proposed. The approac...
A computationally effective hybrid approach to define the “optimal” compromise between sum and diffe...
In the framework of the synthesis of monopulse array antennas for search-and-track applications, the...
Abstract An approach for the synthesis of sum and difference patterns in monopulse antennas is descr...
The stringent specifications of modern tracking systems demand antennas of high performance. For thi...
Dealing with the synthesis of monopulse array antennas, many stochastic optimization algorithms have...
In this paper, the extension of the Contiguous Partition Method (CPM) from linear to planar arrays i...
The synthesis of compromise sum and difference patterns of large planar arrays is addressed in this ...
In this paper, an innovative approach in its different implementations for the synthesis of compromi...
In this paper, an innovative approach for the synthesis of sub-arrayed monopulse linear arrays is pr...
In this paper, the Contiguous Partition Method (CPM) is applied to the optimization of the directivi...
The synthesis of “optimal” compromise sum and difference patterns subject to arbitrary sidelobe boun...
In this paper, three approaches for the synthesis of the optimal compromise between sum and differen...
An innovative synthesis procedure to design sub-arrayed antennas affording multiple patterns is pres...
Dealing with an excitation matching method, this paper presents a global optimization strategy for t...
A new approach for the synthesis of both sum and difference antenna pattern is proposed. The approac...
A computationally effective hybrid approach to define the “optimal” compromise between sum and diffe...
In the framework of the synthesis of monopulse array antennas for search-and-track applications, the...
Abstract An approach for the synthesis of sum and difference patterns in monopulse antennas is descr...
The stringent specifications of modern tracking systems demand antennas of high performance. For thi...
Dealing with the synthesis of monopulse array antennas, many stochastic optimization algorithms have...