Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9659231 | AEU - International Journal of Electronics and Communications | 2005 | 8 Pages |
Abstract
We show that linear antenna array design can be modeled as a multi-objective optimization problem. A genetic algorithm is proposed for the solution of this problem. This genetic algorithm efficiently computes the trade-off curve between main beam width and side lobe level for linear antenna arrays with uniform and non-uniform separations. For uniform separation, the proposed algorithm is validated against the Chebyshev method for the cases of 6-, 8-, 10-, and 12-element linear arrays. Simulation results for non-uniform spacing with uniform and non-uniform excitations applied across the array indicate that the trade-off curve between main beam width and side lobe level for uniform spacing arrays can be improved by introducing non-uniform spacing.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Marco A. Panduro, David H. Covarrubias, Carlos A. Brizuela, Francisco R. Marante,