Fire fly and artificial bees colony algo-rithm for synthesis of scanned and broad-side linear array antenna

被引:63
作者
Basu B. [1 ]
Mahanti G.K. [1 ]
机构
[1] Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur
来源
Progress In Electromagnetics Research B | 2011年 / 32期
关键词
All Open Access; Bronze;
D O I
10.2528/PIERB11053108
中图分类号
学科分类号
摘要
This paper describes the application of two recently developed metaheuristic algorithms known as fire fly algorithm (FFA) and artificial bees colony (ABC) optimization for the design of linear array of isotropic sources. We present two examples: one for broad side arrays and the other for steerable linear arrays. Three instances are presented under each category consisting of different numbers of array elements and array pattern directions. The main objective of the work is to compute the radiation pattern with minimum side lobe level (SLL) for specified half power beam width (HPBW) and first null beam width (FNBW). HPBW and FNBW of a uniformly excited antenna array with similar size and main beam directions are chosen as the beam width constraints in each case. Algorithms are applied to determine the non-uniform excitation applied to each element. The effectiveness of the proposed algorithms for optimization of antenna problems is examined by all six sets of antenna configurations. Simulation results obtained in each case using both the algorithms are compared in a statistically significant way. Obtained results using fire fly algorithm shows better performances than that of artificial bees colony optimization technique provided that the same number of function evaluations has been considered for both the algorithms.
引用
收藏
页码:169 / 190
页数:21
相关论文
共 28 条
  • [1] Stutzman W.L., Thiele G.A., Antenna Theory and Design, (1998)
  • [2] Panduro M.A., Covarrubias D.H., Brizuela C.A., Marante F.R., A multi-objective approach in the linear antenna array design, AEU - International Journal of Electronics and Communications, 59, 4, pp. 205-212, (2005)
  • [3] Smart antenna systems for mobile communications, (2003)
  • [4] Liberti J.C., Rappaport T.S., Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications, (1999)
  • [5] Panduro M., Covarrubias D.H., Brizuela C., Design of electronically steerable linear arrays with evolutionary algorithms, Applied Soft Computing, 8, pp. 46-54, (2008)
  • [6] Eiben A.E., Smith J.E., Introduction to Evolutionary Computing, (2003)
  • [7] Xie P., Chen K.-S., He Z.-S., Synthesis of sparse cylindrical arrays using simulated annealing algorithm, Progress In Electromagnetics Research Letters, 9, pp. 147-156, (2009)
  • [8] Kirkpatrik S., Gelatt C., Vecchi M., Optimization by simulated annealing, Science, 220, pp. 671-680, (1983)
  • [9] Haupt R.L., Adaptive nulling with weight constraints, Progress In Electromagnetics Research B, 26, pp. 23-38, (2010)
  • [10] Hosseini S.A., Atlasbaf Z., Optimization of side lobe level and fixing quasi-nulls in both of the sum and difference patterns by using continuous ant colony optimization (ACO) method, Progress In Electromagnetics Research, 79, pp. 321-337, (2008)