volume | PIER Journals

2017-09-18

A Novel Binary Butterfly Mating Optimization Algorithm with Subarray Strategy for Thinning of Large Antenna Array

Huaning Wu,

Dr. Huaning Wu

Department of Communication Engineering

Naval University of Engineering

China

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Chao Liu,

Mr. Chao Liu

National Laboratory of Antennas and Microwave Technology

Xidian University

China

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Bin Li,

Dr. Bin Li

National Key Laboratory of Electromagnetic Energy

Naval University of Engineering

China

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Xu Xie

Dr. Xu Xie

Department of Communication Engineering

Naval University of Engineering

China

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Progress In Electromagnetics Research M, Vol. 60, 101-110, 2017

doi:10.2528/PIERM17071802 | Google Scholar

Abstract

This paper presents a novel binary algorithm named as binary butterfly mating algorithm (BBMO) combined with sub-array strategy for thinning of antenna array. The proposed algorithm has been adapted from a recently developed nature inspired optimization, butterfly mating optimization (BMO). The subarray strategy is dividing the linear array into two parts, one part with a fixed number of element turned on in the middle of array and the rest elements on the edge of array composing another subarray. In order to reduce the complexity of the thinning process, BBMO algorithm is used to optimize the element on the edge of an array. The proposed BBMO with subarray strategy is used to synthesize a linear sparse antenna array in order to reduce maximum sidelobe level and at the same time keeping the percentage of thinning equal to or more than the desired level. To evaluate the performance of the proposed thinning method, a linear array with 100 elements is optimized by BBMO algorithm without and with subarray strategy. And we discuss the impact of number of fixed elements on thinning results. The novel method BBMO with subarray strategy gives reduced SLL as compared to the results available in literature of ant colony algorithm, genetic algorithm, binary differential evolution algorithm, chaotic binary particle swarm optimization, and improved binary invasive weed optimization algorithm. Moreover, the convergence rate of BBMO with subarray strategy is faster than BBMO without subarray strategy and the other methods.

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Huaning Wu, Chao Liu, Bin Li, and Xu Xie, "A Novel Binary Butterfly Mating Optimization Algorithm with Subarray Strategy for Thinning of Large Antenna Array," Progress In Electromagnetics Research M, Vol. 60, 101-110, 2017.
doi:10.2528/PIERM17071802

References

1. Haupt, R. L., "Thinned arrays using genetic algorithms," IEEE Trans. Antennas and Propagation, Vol. 42, No. 7, 993-999, July 1994.
doi:10.1109/8.299602 Google Scholar

2. Wang, X.-K., Y.-C. Jiao, Y. Liu, and Y. Y. Tan, "Synthesis of large planar thinned arrays using IWO-IFT algorithm," Progress In Electromagnetics Research, Vol. 136, 29-42, 2013. Google Scholar

3. Bucci, O. M., T. Isernia, and A. F. Morabito, "A deterministic approach to the synthesis of pencil beams through planar thinned array," Progress In Electromagnetics Research, Vol. 101, 217-230, 2010.
doi:10.2528/PIER10010104 Google Scholar

4. Quevedo-Teruel, O. S. and E. Rajo-Iglesias, "Ant colony optimization in thinned array synthesis with minimum sidelobe level," IEEE Antennas and Wireless Propagation Letters, Vol. 5, No. 1, 349-352, February 2006.
doi:10.1109/LAWP.2006.880693 Google Scholar

5. Zhang, L., Y. C. Jiao, Z. B. Weng, and F. S. Zhang, "Design of planar thinned arrays using a boolean differential evolution algorithm," IET Microwaves, Antennas and Propagation, Vol. 4, No. 12, 2172-2178, December 2010.
doi:10.1049/iet-map.2009.0630 Google Scholar

6. Wang, W.-B., Q. Feng, and D. Liu, "Synthesis of thinned linear and planar antenna arrays using binary PSO algorithm," Progress In Electromagnetics Research, Vol. 127, 371-387, 2012.
doi:10.2528/PIER12020301 Google Scholar

7. Liu, C. and H. Wu, "Synthesis of thinned array with side lobe levels reduction using improved binary invasive weed optimization," Progress In Electromagnetics Research M, Vol. 37, 21-30, 2014. Google Scholar

8. Oliveri, G., M. Donelli, and A. Massa, "Linear array thinning exploiting almost difference sets," IEEE Trans. Antennas and Propagation, Vol. 57, No. 12, 3800-3812, December 2009.
doi:10.1109/TAP.2009.2027243 Google Scholar

9. Rocca, P., "Large array thinning by means of deterministic binary sequences," IEEE Trans. Antennas and Wireless Propagation Letters, Vol. 10, No. 4, 334-337, October 2011. Google Scholar

10. Jayasinghe, J. W., J. Anguera, and D. N. Uduwawala, "A high-directivity microstrip patch antenna design by using genetic algorithm optimization," Progress In Electromagnetics Research C, Vol. 37, 131-144, 2013.
doi:10.2528/PIERC13010805 Google Scholar

11. Jada, C., A. K. Vadathya, A. Shaik, S. Charugundla, P. R. Ravula, and K. K. Rachavarapu, "Butterfly mating optimization," Advances in Intelligent Systems and Computing, Vol. 384, 3-15, Springer International Publishing, 2016. Google Scholar