International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 113 | Views: 207

Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 1, January 2015 | Rating: 6.9 / 10

Introduction to Multiple Beams Adaptive Linear Array Using Genetic Algorithm

Ummul Khair Maria Roohi

Abstract: In this paper, Genetic algorithm, Dolph-Tschebyscheff distribution and the frequency shifting property of Fourier transform are used to calculate the complex excitations, i. e. amplitudes and phases of adaptive antenna arrays. Genetic algorithm adjusts some of the least significant bits of the beam steering phase shifters to minimize total output power in unwanted direction. Using small adaptive phase values results in the minor deviation of main lobe direction and perturbations in the side lobe level. Various results are presented to demonstrate the advantages and limitations of this approach. Battlefield electromagnetic environment has become more and more complex under the background of information war. Strong interfering signals have seriously affected the quality of communication and reliability of information. To weaken or even eliminate the effect of the unwanted signal to the wanted one, genetic algorithm (GA) is utilized to optimize element current amplitudes in obtaining the needed radiation pattern of adaptive linear array antenna under intensive interference environment. Details on structure of the system, radiation pattern formulation, and application of the genetic algorithm are given, and simulation examples are also demonstrated to show the effectiveness of the GA approach. advantages are such that the optimized amplitudes can be directly used in the engineering without further discretization, and that the ratio of maximum amplitude to minimum one is moderate which makes it easy to feed the antenna.

Keywords: Robots, Zigbee, Transceiver, CMOS, MCU

Edition: Volume 4 Issue 1, January 2015,

Pages: 2703 - 2707

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