全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Nonuniformly Spaced Linear Antenna Array Design Using Firefly Algorithm

DOI: 10.1155/2012/256759

Full-Text   Cite this paper   Add to My Lib

Abstract:

A nonuniformly spaced linear antenna array with broadside radiation characteristics is synthesized using firefly algorithm and particle swarm optimization. The objective of the work is to find the optimum spacing between the radiating antenna elements which will create a predefined arbitrary radiation pattern. The excitation amplitudes of all the antenna elements are assumed to be constant. The optimum spacing between the array elements are obtained using firefly algorithm. The minimum allowed distance between the antenna elements is defined in such a way that mutual coupling between the elements can be ignored. Numerical analysis is performed to calculate the far-field radiation characteristics of the array. Two numerical examples are shown to form two different desired predefined radiation patterns. The performance of the firefly algorithm and particle swarm optimization is compared in terms of convergence rate and global best solution achieved. The performances of the optimized nonuniformly spaced arrays are analyzed. Finally, contour plots of the radiated power from the optimized array in the horizontal plane and vertical plane in the far-field region are provided. 1. Introduction Multiple antennas can be arranged in space in various geometrical configurations to form an antenna array with highly directive radiation pattern [1, 2]. The radiation characteristics of the antenna array depend on some input parameters. These parameters are the relative magnitude and phase of the excitation current of each radiating element, radiation characteristics of each radiating element, the geometrical configuration of the array, and the separation distance between the array elements [2]. An antenna array can be designed to produce almost any arbitrary prescribed pattern by controlling these parameters. For this reason, antenna arrays find application in RADAR and wireless communication systems [3, 4]. Most antenna arrays are designed to produce a directive beam at a particular direction and while keeping the sidelobe level (SLL) small to avoid interference with other radiating sources. In most cases, this is achieved by controlling the magnitude and phase of the excitation amplitudes [5, 6]. In most cases, a relatively simple geometry is considered where the distance between two consecutive radiating elements is constant. However, exact control of phase and magnitude of excitation current of array elements requires complex and expensive electronic circuitry [4]. In case of phased arrays, where the direction of the main beam needs to be controlled electronically in

References

[1]  C. A. Balanis, Antenna Theory Analysis and Design, John Wiley & Sons, 3rd edition, 2005.
[2]  C. A. Balanis, Modern Antenna Handbook, John Wiley & Sons, 2008.
[3]  J. D. Kraus, R. J. Marhefka, and A. S. Khan, Antennas for all Applications, Tata McGraw-Hill, 3rd edition, 2007.
[4]  R. C. Hansen, “Chapter 20: phased arrays,” in Antenna Engineering Handbook, J. L. Volakis, Ed., McGraw-Hill, 4th edition, 2007.
[5]  T. B. Chen, Y. B. Chen, Y. C. Jiao, and F. S. Zhang, “Synthesis of antenna array using particle swarm optimization,” in Proceedings of the Asia-Pacific Microwave Conference (APMC '05), vol. 3, p. 4, December 2005.
[6]  A. Recioui, A. Azrar, H. Bentarzi, M. Dehmas, and M. Chalal, “Synthesis of linear arrays with sidelobe reduction constraint using genetic algorithm,” International Journal of Microwave and Optical Technology, vol. 3, no. 5, pp. 524–530, 2008.
[7]  M. A. Zaman, S. A. Mamun, M. Gaffar, S. M. Choudhury, and M. A. Matin, “Phased array synthesis using modified particle swarm optimization,” Journal of Engineering Science and Technology Review, vol. 4, no. 1, pp. 68–73, 2011.
[8]  M. A. Zaman, M. Gaffar, M. M. Alam, S. A. Mamun, and M. A. Matin, “Syntehsis of antenna arrays using artificial bee colony optimization algorithm,” International Journal of Microwave and Optical Technology, vol. 6, no. 4, pp. 234–241, 2011.
[9]  R. Harrington, “Sidelobe reduction by nonuniform element spacing,” IRE Transactions on Antennas and Propagation, vol. 9, no. 2, pp. 187–192, 1961.
[10]  F. Hodjat and S. A. Hovanessian, “Nonuniformly spaced linear and planar array antennas for sidelobe reduction,” IEEE Transactions on Antennas and Propagation, vol. 26, no. 2, pp. 198–204, 1978.
[11]  X. F. Ren, J. A. Azevedo, and A. M. Casimiro, “Synthesis of non-uniformly spaced arrays using the Fourier transform and window techniques,” IET Microwaves, Antennas and Propagation, vol. 3, no. 8, pp. 1245–1253, 2009.
[12]  D. G. Kurup, M. Himdi, and A. Rydberg, “Synthesis of uniform amplitude unequally spaced antenna arrays using the differential evolution algorithm,” IEEE Transactions on Antennas and Propagation, vol. 51, no. 9, pp. 2210–2217, 2003.
[13]  K. Chen, Z. He, and C. Han, “A modified real GA for the sparse linear array synthesis with multiple constraints,” IEEE Transactions on Antennas and Propagation, vol. 54, no. 7, pp. 2169–2173, 2006.
[14]  M. M. Khodier and C. G. Christodoulou, “Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization,” IEEE Transactions on Antennas and Propagation, vol. 53, no. 8, pp. 2674–2679, 2005.
[15]  E. Rajo-lglesias and Q. Quevedo-Teruel, “Linear array synthesis using an ant-colony-optimization-based algorithm,” IEEE Antennas and Propagation Magazine, vol. 49, no. 2, pp. 70–79, 2007.
[16]  H. Oraizi and M. Fallahpour, “Nonuniformly spaced linear array design for the specified beamwidth/sidelobe level or specified directivity/sidelobe level with coupling considerations,” Progress in Electromagnetic Research M, vol. 4, pp. 185–209, 2008.
[17]  X. S. Yang, “Firefly algorithms for multimodal optimization,” in Stochastic Algorithms: Foundations and Appplications, O. Watanabe and T. Zeugmann, Eds., vol. 5792 of SAGA 2009, Lecture Notes in Computer Science, pp. 169–178, Springer, Berlin, Germany, 2009.
[18]  X. S. Yang, “Firefly algorithm, stochastic test functions and design optimisation,” International Journal of Bio-Inspired Computing, vol. 2, no. 2, pp. 78–84, 2010.
[19]  B. Basu and G. K. Mahanti, “Firefly and artificial bees colony algorithm for synthesis of scanned and broadside linear array antenna,” Progress in Electromagnetic Research B, vol. 32, pp. 169–190, 2011.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133