Optimal radiation pattern design of adaptive linear array antenna by phase and amplitude perturbations using memetic algorithms

Chao Hsing Hsu, Pao Hua Chou, Wen Jye Shyr, Yi Nung Chung

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

A novel method based on the memetic algorithm for the optimal radiation pattern of a linear array antenna by phase-amplitude perturbations is proposed. An optimal radiation pattern design for an adaptive antenna is not only adjustably to suppress interference in the interfering direction but also adjustably to derive the maximum power radiation pattern in the desired signal's direction. The memetic algorithm is applied to find the optimal radiation pattern of the proposed adaptive antenna by using a twoway convergent method. The Memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. In this study, we show the usefulness of a memetic algorithm for global search and flexibly reasonable stopping criteria. This skill is also able to do the cancelation of multiple interferences for different incident directions. Two examples are provided to justify the proposed phase-amplitude perturbations approach based on memetic algorithms. Computer simulation results are given to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1273-1287
Number of pages15
JournalInternational Journal of Innovative Computing, Information and Control
Volume3
Issue number5
Publication statusPublished - 2007 Oct 1

Fingerprint

Memetic Algorithm
Linear Array
Design Patterns
Directional patterns (antenna)
Antenna arrays
Antenna
Radiation
Perturbation
Interference
Antennas
Stopping Criterion
Global Search
Domain Knowledge
Cancellation
Justify
Computer Simulation
Heuristics
Optimization Problem
Computer simulation
Demonstrate

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

Cite this

@article{0f8b89add6014e13a0024f1e90bab9fb,
title = "Optimal radiation pattern design of adaptive linear array antenna by phase and amplitude perturbations using memetic algorithms",
abstract = "A novel method based on the memetic algorithm for the optimal radiation pattern of a linear array antenna by phase-amplitude perturbations is proposed. An optimal radiation pattern design for an adaptive antenna is not only adjustably to suppress interference in the interfering direction but also adjustably to derive the maximum power radiation pattern in the desired signal's direction. The memetic algorithm is applied to find the optimal radiation pattern of the proposed adaptive antenna by using a twoway convergent method. The Memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. In this study, we show the usefulness of a memetic algorithm for global search and flexibly reasonable stopping criteria. This skill is also able to do the cancelation of multiple interferences for different incident directions. Two examples are provided to justify the proposed phase-amplitude perturbations approach based on memetic algorithms. Computer simulation results are given to demonstrate the effectiveness of the proposed method.",
author = "Hsu, {Chao Hsing} and Chou, {Pao Hua} and Shyr, {Wen Jye} and Chung, {Yi Nung}",
year = "2007",
month = "10",
day = "1",
language = "English",
volume = "3",
pages = "1273--1287",
journal = "International Journal of Innovative Computing, Information and Control",
issn = "1349-4198",
publisher = "IJICIC Editorial Office",
number = "5",

}

TY - JOUR

T1 - Optimal radiation pattern design of adaptive linear array antenna by phase and amplitude perturbations using memetic algorithms

AU - Hsu, Chao Hsing

AU - Chou, Pao Hua

AU - Shyr, Wen Jye

AU - Chung, Yi Nung

PY - 2007/10/1

Y1 - 2007/10/1

N2 - A novel method based on the memetic algorithm for the optimal radiation pattern of a linear array antenna by phase-amplitude perturbations is proposed. An optimal radiation pattern design for an adaptive antenna is not only adjustably to suppress interference in the interfering direction but also adjustably to derive the maximum power radiation pattern in the desired signal's direction. The memetic algorithm is applied to find the optimal radiation pattern of the proposed adaptive antenna by using a twoway convergent method. The Memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. In this study, we show the usefulness of a memetic algorithm for global search and flexibly reasonable stopping criteria. This skill is also able to do the cancelation of multiple interferences for different incident directions. Two examples are provided to justify the proposed phase-amplitude perturbations approach based on memetic algorithms. Computer simulation results are given to demonstrate the effectiveness of the proposed method.

AB - A novel method based on the memetic algorithm for the optimal radiation pattern of a linear array antenna by phase-amplitude perturbations is proposed. An optimal radiation pattern design for an adaptive antenna is not only adjustably to suppress interference in the interfering direction but also adjustably to derive the maximum power radiation pattern in the desired signal's direction. The memetic algorithm is applied to find the optimal radiation pattern of the proposed adaptive antenna by using a twoway convergent method. The Memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. In this study, we show the usefulness of a memetic algorithm for global search and flexibly reasonable stopping criteria. This skill is also able to do the cancelation of multiple interferences for different incident directions. Two examples are provided to justify the proposed phase-amplitude perturbations approach based on memetic algorithms. Computer simulation results are given to demonstrate the effectiveness of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=52449098318&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=52449098318&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:52449098318

VL - 3

SP - 1273

EP - 1287

JO - International Journal of Innovative Computing, Information and Control

JF - International Journal of Innovative Computing, Information and Control

SN - 1349-4198

IS - 5

ER -