Citation
Abstract
An array of antennas is usually used in long distance communication. The observation of celestial objects necessitates a large array of antennas, such as the Giant Metrewave Radio Telescope (GMRT). Optimizing this kind of array is very important when observing a high performance system. The genetic algorithm (GA) is an optimization solution for these kinds of problems that reconfigures the position of antennas to increase the u-v coverage plane or decrease the sidelobe levels (SLLs). This paper presents how to optimize a correlator antenna array using the GA. A brief explanation about the GA and operators used in this paper (mutation and crossover) is provided. Then, the results of optimization are discussed. The results show that the GA provides efficient and optimum solutions among a pool of candidate solutions in order to achieve the desired array performance for the purposes of radio astronomy. The proposed algorithm is able to distribute the u-v plane more efficiently than GMRT with a more than 95% distribution ratio at snapshot, and to fill the u-v plane from a 20% to more than 68% filling ratio as the number of generations increases in the hour tracking observations. Finally, the algorithm is able to reduce the SLL to –21.75 dB.
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Official URL or Download Paper: http://iopscience.iop.org/1538-3881/147/6
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Engineering |
DOI Number: | https://doi.org/10.1088/0004-6256/147/6/147 |
Publisher: | Institute of Physics Publishing |
Keywords: | Instrumentation; Interferometers; Telescopes; Antenna array; Genetic algorithms |
Depositing User: | Nurul Ainie Mokhtar |
Date Deposited: | 22 Dec 2015 09:08 |
Last Modified: | 22 Dec 2015 09:08 |
Altmetrics: | 1http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1088/0004-6256/147/6/147 |
URI: | http://psasir.upm.edu.my/id/eprint/34766 |
Statistic Details: | View Download Statistic |
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