Firefly Algorithm for Failure Correction of Linear Array of Dipole Antennas in Presence of Ground Plane with Mutual Coupling Effects
Keywords:
Antenna array, failure correction, mutual coupling, reflection coefficient,, side lobe levelAbstract
In this paper, firefly algorithm is utilized for the correction of radiation pattern of a linear antenna array of parallel half-wavelength dipole antennas spaced uniformly when defected completely with more than one dipole element. Mutual coupling between the antennas along has been considered along with the effect of distance between the antenna array and the ground plane on the radiation pattern. Adjustments are done in the values of the excitation voltage of the remaining nondefective elements through evolutionary algorithm such that the parameters, namely, side lobe level and maximum reflection coefficient (S11) in dB of the corrected pattern are calculated and efforts are taken to make it closer to the original pattern values. This certainly avoids replacing of defective elements. The element pattern of individual elements in the array has been assumed omnidirectional in the plane considered. Examples are shown to produce the response of the proposed approach using evolutionary algorithm for three element failures out of twenty elements in the array with the effect on various distances between the antenna array and ground plane. Even though, the method is utilized here for a linear dipole antenna array, it can be applied for other antenna array configurations also.
Downloads
References
C. A. Balanis, Antenna Theory: Analysis and Design, 2nd ed., Singapore: John Wiley and Sons (Asia), 2003.
B-K. Yeo and Y. Lu, “Array failure correction with a genetic algorithm,” IEEE Transactions on Antennas and Propagation, vol. 47, no. 5, pp. 823-828, May 1999.
J. A. Rodriquez, F. Ares, E. Moreno, and G. Franceschetti, “Genetic algorithm procedure for linear array failure correction,” Electronics Letters, vol. 36, no. 3, Feb. 2000.
R. J. Mailloux, “Array failure correction with a digitally beamformed array,” IEEE Trans. on Antennas Propag., vol. 44, pp. 1542-1550, Dec. 1996.
H. Steyskal and R. J. Mailloux, “Generalization of an array failure correction method,” In: Proc. IEE-Microwave Antennas Propag., pp. 332-336, 1998.
J. A. Rodriguez and F. Ares, “Optimization of the performance of arrays with failed elements using the simulated annealing technique,” J. Electromagn. Waves Appl., vol. 12, pp. 1625- 1637, 1998.
R. S. Elliott, Antenna Theory and Design, New York, USA: Prentice-Hall, 1981.
N. Pathak, B. Basu, and G. K. Mahanti, “Combination of inverse fast fourier transform and modified particle swarm optimization for synthesis of thinned mutually coupled linear array of parallel half-wave length dipole antennas,” Progress In Electromagnetics Research M, PIER M, vol. 16, pp. 105-115, 2011.
J. A. Rodriquez, F. Ares, E. Moreno, and G. Franceschetti, “Design of efficient, easily feed matched array antennas by joint optimization of excitations and element geometry: a pencil beam example,” Electronics Letters, vol. 34, no. 13, 1998.
J. H. Lee and Y. L. Chen, “Performance analysis of antenna array beamformers with mutual coupling effects,” Progress In Electromagnetics Research B, vol. 33, pp. 291-315, 2011.
M. Thevenot, C. Menudier, A. El Sayed Ahmad, Z. El Nashef, F. Fezai, Y. Abdallah, E. Arnaud, F. Torres, and T. Monediere, “Synthesis of antenna arrays and parasitic antenna arrays with mutual couplings,” International Journal of Antennas and Propagation, vol. 2012, 22 pages, 2012.
X. S. Yang, “Firefly algorithm, stochastic test functions and design optimization,” International Journal of Bio-Inspired Computation, vol. 2, no. 2, pp. 78-84, 2010.
B. Basu and G. K. Mahanti, “Fire fly and artificial bees colony algorithm for synthesis of scanned and broadside linear array antenna,” Progress In Electromagnetics Research B, vol. 32, pp. 169-190, 2011.
