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Optimization of Asymmetrical Difference Pattern With Memetic Algorithm.
- Source :
- IEEE Transactions on Antennas & Propagation; Apr2014 Part 2, Vol. 62 Issue 4, p2297-2302, 6p
- Publication Year :
- 2014
-
Abstract
- A memetic particle swarm optimization (MPSO) algorithm is applied to fine-tune the asymmetrical difference pattern of a linear array, which is useful for tracking targets, for example, in radar applications. The side-lobe level of the asymmetrical difference pattern with various peak differences can be successfully reduced, while maintaining the desired squint angle and the side-lobe difference. Conventional PSO, genetic algorithm (GA) and memetic GA (MGA) have also been applied, with the initial conditions of uniformly-excited and Bayliss linear arrays, to compare their performance of optimization. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 0018926X
- Volume :
- 62
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Antennas & Propagation
- Publication Type :
- Academic Journal
- Accession number :
- 95635259
- Full Text :
- https://doi.org/10.1109/TAP.2014.2302440