International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 143 - Issue 3 |
Published: Jun 2016 |
Authors: M. Vamshi Krishna, G. S. N. Raju, S. Mishra |
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M. Vamshi Krishna, G. S. N. Raju, S. Mishra . Generation of Low Side Lobe Difference Pattern using Nature Inspired Metaheuristic Algorithms. International Journal of Computer Applications. 143, 3 (Jun 2016), 29-35. DOI=10.5120/ijca2016910059
@article{ 10.5120/ijca2016910059, author = { M. Vamshi Krishna,G. S. N. Raju,S. Mishra }, title = { Generation of Low Side Lobe Difference Pattern using Nature Inspired Metaheuristic Algorithms }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 143 }, number = { 3 }, pages = { 29-35 }, doi = { 10.5120/ijca2016910059 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A M. Vamshi Krishna %A G. S. N. Raju %A S. Mishra %T Generation of Low Side Lobe Difference Pattern using Nature Inspired Metaheuristic Algorithms%T %J International Journal of Computer Applications %V 143 %N 3 %P 29-35 %R 10.5120/ijca2016910059 %I Foundation of Computer Science (FCS), NY, USA
Pattern synthesis is one of the most important aspects in antenna design. Arrays are more flexible to produce desired radiation characteristics. Difference patterns are usually generated with conventional techniques and there is less control on side lobes. In view of this, optimization techniques are applied to synthesize and produce such patterns optimally. The simulated patterns are produced for different array configurations and the patterns are presented using Cuckoo Search Algorithm (CSA) and Accelerated Particle Swarm Optimization (APSO).