Array Pattern Synthesis Using a Hybrid Differential Evolution and Analytic Algorithm

Abstract

In this paper, a hybrid differential evolution and weight total least squares method (HDE-WTLSM) is proposed for antenna array pattern synthesis. A variable diagonal weight matrix is introduced in total least squares method. Then, the weight matrix is optimized by differential evolution (DE) algorithm to control the differences of the desired level and the obtained level in different directions. This algorithm combines the advantages of evolutionary algorithm and numerical algorithm, so it has a wider application range and faster convergence speed. To compare HDE-WTLSM with DE algorithm and typical numerical algorithms, these methods are applied to a linear antenna array and a conformal truncated conical array. Using our method, lower sidelobe levels and deeper nulls are obtained. The simulation results verify the validity and efficiently of HDE-WTLSM.

Binary Flower Pollination Algorithm Based User Scheduling for Multiuser MIMO Systems

“…Authors in [36] have used honey bee mating optimization technique and differential evolutionary (DE) technique as the global optimizer and local optimizer respectively. A hybrid DE technique is proposed by the authors in [37]. This hybrid DE technique combines the advantages of numerical algorithm and evolutionary algorithm.…”

“…This hybrid DE technique combines the advantages of numerical algorithm and evolutionary algorithm. This hybrid DE technique is used for antenna array pattern synthesis [37]. Three grey wolf inspired optimization algorithms are used for designing a single transistor low noise amplifier [38].…”