Optimization of the Directivity of a Monopulse Antenna With a Subarray Weighting by a Hybrid Differential Evolution Method

Abstract

Abstract-The optimization of the directivity of the difference patterns in monopulse array antennas is considered. A subarray configuration is used in order to avoid the need for the implementation of two separate feed networks. An hybrid differential evolution method is applied to contemporarily determinates the weights of the subarrays and the group membership of the elements. Some numerical results are provided together with a validation comparison with data previously published in the literature.Index Terms-Array antennas, Monopulse antennas, Evolutionary algorithm, Sum and difference patterns.

Design of Time-Modulated Linear Arrays With a Multi-Objective Optimization Approach

“…Over the time-modulated linear array design instances we also compare the performance of MOEA/D-DE with that of two single-objective optimization techniques, namely DEGL (DE with Global and Local Neighborhood) [39] and CLPSO (Comprehensive Learning PSO) [40] that are the state-of-the-art variants of DE and PSO, two metaheuristic algorithms widely used in past for various electromagnetic optimization [2,4,26,[41][42][43][44]. For singleobjective optimization techniques, we use a weighted linear sum of the objective functions given in (5a)-(5c).…”

Optimization of difference pattern features in sub-arrayed monopulse antennas through and excitations matching procedure

“…In order to show the effectiveness of the proposed approach, let us consider two test cases described in [5] and in [9] and concerned with the minimization of the SLL and the maximization of the directivity, respectively. Both cases deal with an array of elements 20 = N 2 / λ -spaced and 3 = Q sub-arrays.…”

“…Whatever the method, the attention has been mainly focused on the searching of the pattern with the lower SLL. Otherwise, a hybrid real/integer differential evolution method (hybrid-DE) has been used in [9] to maximize the directivity of the sub-arrayed beam. In such a framework, this paper deals with an innovative method based on the optimal excitation matching.…”

Excitation matching procedure for sub-arrayed monopulse arrays with maximum directivity

“…Although optimization techniques can be simply adapt to optimize one or more (at the price of higher computational complexity) pattern features, the major part of the contributions have taken into account the minimization of the SLL [4]- [6] [8]. Only in [7], the approach previously presented in [6] was extended to maximize the directivity of the compromise pattern. Within this framework, the Contiguous Partition Method (CP M) [9] has shown its effectiveness and versatility in determining a "best compromise" difference pattern close as much as possible to the optimum in the Dolph-Chebyshev sense [10] (i.e., narrowest first null beamwidth and largest normalized difference slope on the boresight for a specified sidelobe level) [9] as well as the optimization of some pattern features (e.g., SLL [11]).…”