An Efficient Optimization Algorithm Based on Characteristic Mode Method and Genetic Algorithm for Tightly Coupled Antenna Array

Mi, Xueqin; Jia, Chunlai; Fan, Zhenhong; Chen, Rushan

doi:10.1109/csrswtc50769.2020.9372698

Cited by 1 publication

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A genetic algorithm is chosen to determine the excitations of array elements. It is a kind of evolutionary search algorithm to give solutions to optimization problems based on natural selection [5]. It starts with initializing the population of possible solutions by natural random selection, solutions are nothing but chromosomes [16].…”

Section: ░ 2 Genetic Algorithmmentioning

confidence: 99%

Array Design Using Genetic Algorithm for the Generation of Sum and Difference Patterns

Ramya.

Raju

2023

IJEER

View full text Add to dashboard Cite

In the field of pattern synthesis, the design of arrays to synthesis optimized sum and difference patterns in a successive manner is an important problem in most of the radars. Although several researchers published many papers in the open literature, investigations are made by the authors to design arrays of discrete radiators using a well-formulated Genetic Algorithm (GA). The practical constraints are taken into account to design an amplitude distribution to produce the sum pattern with desired side lobe levels without broadening the main beam. Such sum patterns are found to be very useful in high-resolution radars where the EMI problems are also addressed. In IFF radars, both sum and difference patterns are extremely useful to distinguish between friendly aircraft and enemy aircraft. Such patterns are conventionally produced involving two antennas. One is a directional antenna and another is an omnidirectional antenna. However, in the present work, they are generated using only one directional antenna. The patterns with a deep null in the boresight direction and difference lobes with a high slope are produced with an antiphase excitation to one-half of the array.

show abstract

Section: ░ 2 Genetic Algorithmmentioning

confidence: 99%