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Generation of Low Side Lobe Difference Pattern using Nature Inspired Metaheuristic Algorithms

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
M. Vamshi Krishna, G. S. N. Raju, S. Mishra
10.5120/ijca2016910059

Vamshi M Krishna, G S N Raju and S Mishra. Generation of Low Side Lobe Difference Pattern using Nature Inspired Metaheuristic Algorithms. International Journal of Computer Applications 143(3):29-35, June 2016. BibTeX

@article{10.5120/ijca2016910059,
	author = {M. Vamshi Krishna and G. S. N. Raju and S. Mishra},
	title = {Generation of Low Side Lobe Difference Pattern using Nature Inspired Metaheuristic Algorithms},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {143},
	number = {3},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {29-35},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume143/number3/25059-2016910059},
	doi = {10.5120/ijca2016910059},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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).

References

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Keywords

Difference Pattern, Sidelobe Reduction, Antenna Array, Cuckoo Search Algorithm (CSA), Particle Swarm Optimization (PSO), Accelerated Particle Swarm Optimization (APSO)