Consistency of Constraints on Nulls and on Dynamic Range Ratio in Pattern Synthesis for Antenna Arrays

2007 ◽  
Vol 55 (10) ◽  
pp. 2662-2670 ◽  
Author(s):  
Roberto Vescovo
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Massimiliano Comisso ◽  
Roberto Vescovo

This paper proposes an iterative algorithm for the 3D synthesis of the electric far-field pattern of a conformal antenna array in the presence of requirements on both the polarization and the dynamic range ratio (DRR) of the excitations. Thanks to the use of selectable weights, the algorithm allows a versatile control of the DRR and of the polarization in a given angular region and requires a low CPU time to provide the array excitations. Furthermore, a modified version of the algorithm is developed to enable the optimization of the polarization state by phase-only control. Numerical results are presented to verify the usefulness of the proposed approach for the joint pattern and polarization synthesis of conformal arrays with reduced or even unitary DRR.


2013 ◽  
Vol 137 ◽  
pp. 371-388 ◽  
Author(s):  
Xin Li ◽  
Wen-Tao Li ◽  
Xiao-Wei Shi ◽  
Jing Yang ◽  
Jian-Feng Yu

Author(s):  
Shiwen Lei ◽  
Haoquan Hu ◽  
Pu Tang ◽  
Bo Chen ◽  
Jing Tian ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Bin Li ◽  
Chao Liu ◽  
Huaning Wu ◽  
Yifeng Zhao ◽  
Yinghui Dong

A novel chaotic adaptive butterfly mating optimization (CABMO) is proposed to be used in synthesizing the beam pattern. In order to improve the optimization accuracy and avoid trapping in the local optimum, the homogeneous chaotic system and adaptive movement mechanism are combined into the proposed algorithm, where the initialization and redistribution of butterflies are chaotically dispersed with an adaptive movement closely related to the ultraviolet changes. After validating the performance of CABMO through several benchmark functions with different dimensions, the improved algorithm outperforms when compared to other state-of-the-art nature-inspired metaheuristic algorithms. The proposed algorithm is then used to understand any linear array problems in terms of the sidelobe reduction. Finally, a CABMO strategy is utilized to optimize the mutual coupling model of the closely spaced VLF umbrella arrays. Results show that the optimized structure has comfortably outperformed the original structure. Full scanning of wave positions is realized from 15 to 30 kHz. The synthesis patterns are close to the theoretical optimum. The optimized results of the radiation performance and synthesized patterns demonstrate that the pattern synthesis and antenna structure optimization based on the CABMO algorithm provides a novel idea for antenna array optimization.


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