Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Hybrid differential evolution with artificial bee colony and its application for design of a reconfigurable antenna array with discrete phase shifters

Hybrid differential evolution with artificial bee colony and its application for design of a reconfigurable antenna array with discrete phase shifters

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Microwaves, Antennas & Propagation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study proposes a new method of designing a reconfigurable antenna with quantised phase excitations using a new hybrid algorithm, called as differential evolution algorithm (DE)/artificial bee colony algorithm (ABC). The main objective of the reconfigurable design problem is to find the element excitation that will result in a sector pattern main beam with low side lobes. The same excitation amplitudes applying to the array with zero phase should be in a high directivity and low side lobe pencil-shaped main beam. The dynamic range ratio is minimised to reduce the effect of mutual coupling between the antenna-array elements. Additionally, compared with the continuous realisation and subsequent quantisation, experimental results indicate that the performance of the discrete realisation of the phase-excitation value can be improved. In order to test the performances of hybrid differential evolution with the artificial bee colony algorithm, the results of some state-of-the-art algorithms are considered. The experimental results indicate the better performance of the DE/ABC.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • R.C. Hansen . (1998) Phased array antennas.
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • Bucci, O.M., D'Elia, G.K., Mazzarella, G., Panariello, G.: `Antenna pattern synthesis: a new general approach', Proc IEEE, 1994, 82, p. 358–371.
    9. 9)
      • Alphones, A., Passoupathi, V.: `Null steering in phased arrays by positional perturbations: a genetic algorithm approach', IEEE Conf. Phased Arrays, 1996, p. 203–207.
    10. 10)
    11. 11)
      • Y. Rahmat-Samii , E. Michielssen . (1999) Electromagnetic optimization by geneticalgorithms.
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
      • Baskar, S., Alphones, A., Suganthan, P.N.: `Design of reconfigurable antenna array using improved multi-agent genetic algorithms', Asia-Pacific Microwave Conf., 2004, New Delhi, http://www.ntu.edu.sg/home/EPNSugan/.
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
      • Dobias, F., Gunther, J.: `Reconfigurable array antennas with phase-only control of quantized phase shifters', IEEE APS Int Symp., 1995, Newport Beach, CA, p. 35–39.
    24. 24)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-map.2011.0611
Loading

Related content

content/journals/10.1049/iet-map.2011.0611
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address