Abstract
This study proposes an innovative method based on the memetic algorithm to determine the optimal radiation pattern for an adaptive linear phased array antenna. The adaptive antenna in an optimal radiation pattern design can adjustably suppress interference by placing nulls at the interfering source directions and provide a maximum main lobe in the direction of the desired signal at the same time. The proposed method maximizes the Signal to Interference Ratio (SIR). The memetic algorithm is applied to find the optimal radiation pattern for the proposed adaptive antenna using a two-way convergent method. The memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. This study shows the usefulness of a memetic algorithm for global search and flexible stopping criteria. The memetic algorithm is an easy and effective approach that can be used to search for the optimal phase weighting vector of the adaptive array factor. Two examples are provided to justify the proposed memetic algorithm approach. The performance of the proposed algorithm is demonstrated using simulations and experimental data.
| Original language | English |
|---|---|
| Pages (from-to) | 2391-2403 |
| Number of pages | 13 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 4 |
| Issue number | 9 |
| Publication status | Published - 2008 Sep 1 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Software
- Information Systems
- Computational Theory and Mathematics
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Optimal radiation pattern design of adaptive linear phased array antenna using memetic algorithms. / Hsu, Chao Hsing; Shyr, Wen-Jye; Kuo, Kun Huang; Chou, Pao Hua.
In: International Journal of Innovative Computing, Information and Control, Vol. 4, No. 9, 01.09.2008, p. 2391-2403.Research output: Contribution to journal › Article
TY - JOUR
T1 - Optimal radiation pattern design of adaptive linear phased array antenna using memetic algorithms
AU - Hsu, Chao Hsing
AU - Shyr, Wen-Jye
AU - Kuo, Kun Huang
AU - Chou, Pao Hua
PY - 2008/9/1
Y1 - 2008/9/1
N2 - This study proposes an innovative method based on the memetic algorithm to determine the optimal radiation pattern for an adaptive linear phased array antenna. The adaptive antenna in an optimal radiation pattern design can adjustably suppress interference by placing nulls at the interfering source directions and provide a maximum main lobe in the direction of the desired signal at the same time. The proposed method maximizes the Signal to Interference Ratio (SIR). The memetic algorithm is applied to find the optimal radiation pattern for the proposed adaptive antenna using a two-way convergent method. The memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. This study shows the usefulness of a memetic algorithm for global search and flexible stopping criteria. The memetic algorithm is an easy and effective approach that can be used to search for the optimal phase weighting vector of the adaptive array factor. Two examples are provided to justify the proposed memetic algorithm approach. The performance of the proposed algorithm is demonstrated using simulations and experimental data.
AB - This study proposes an innovative method based on the memetic algorithm to determine the optimal radiation pattern for an adaptive linear phased array antenna. The adaptive antenna in an optimal radiation pattern design can adjustably suppress interference by placing nulls at the interfering source directions and provide a maximum main lobe in the direction of the desired signal at the same time. The proposed method maximizes the Signal to Interference Ratio (SIR). The memetic algorithm is applied to find the optimal radiation pattern for the proposed adaptive antenna using a two-way convergent method. The memetic algorithm combines the advantages of efficient heuristics incorporating domain knowledge and population-based search approaches for optimization problems. This study shows the usefulness of a memetic algorithm for global search and flexible stopping criteria. The memetic algorithm is an easy and effective approach that can be used to search for the optimal phase weighting vector of the adaptive array factor. Two examples are provided to justify the proposed memetic algorithm approach. The performance of the proposed algorithm is demonstrated using simulations and experimental data.
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UR - http://www.scopus.com/inward/citedby.url?scp=63549085120&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:63549085120
VL - 4
SP - 2391
EP - 2403
JO - International Journal of Innovative Computing, Information and Control
JF - International Journal of Innovative Computing, Information and Control
SN - 1349-4198
IS - 9
ER -