Device for measuring the parameters of controlled discrete phase shifters of antenna systems

1988 ◽  
Vol 31 (12) ◽  
pp. 1202-1205
Author(s):  
O. E. Evtyukhina ◽  
L. A. Letunov
Author(s):  
Sotirios K. Goudos

Differential Evolution (DE) is a popular evolutionary algorithm that has been applied to several antenna design problems. However, DE is best suited for continuous search spaces. Therefore, in order to apply it to combinatorial optimization problems for antenna design a binary version of the DE algorithm has to be used. In this chapter, the author presents a design technique based on Novel Binary DE (NBDE). The main benefit of NBDE is reserving the DE updating strategy to binary space. This chapter presents results from design cases that include array thinning, phased array design with discrete phase shifters, and conformal array design with discrete excitations based on NBDE.


1991 ◽  
Author(s):  
Fathi Selmi ◽  
Deepak K. Ghodgaonkar ◽  
Raymond Hughes ◽  
Vasundara V. Varadan ◽  
Vijay K. Varadan

2008 ◽  
Vol 55 (6) ◽  
pp. 3246-3252 ◽  
Author(s):  
Tushar K. Thrivikraman ◽  
Peng Cheng ◽  
Stanley D. Phillips ◽  
Jonathan P. Comeau ◽  
Matt A. Morton ◽  
...  

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Xiangtao Li ◽  
Minghao Yin

Multibeam antenna arrays have important applications in communications and radar. This paper presents a new method of designing a reconfigurable antenna with quantized phase excitations using a new hybrid algorithm, called DE/BBO. The reconfigurable design problem is to find the element excitation that will result in a sector pattern main beam with low sidelobes with additional requirement that the same excitation amplitudes applied to the array with zero-phase should be in a high directivity, low sidelobe pencil-shaped main beam. In order to reduce the effect of mutual coupling between the antenna-array elements, the dynamic range ratio is minimized. Additionally, compared with the continuous realization and subsequent quantization, experimental results indicate that the performance of the discrete realization of the phase excitation value can be improved. In order to test the performances of hybrid differential evolution with biogeography-based optimization, the results of some state-of-art algorithms are considered, for the purposed of comparison. Experiment results indicate the better performance of the DE/BBO.


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