Differential Evolution Algorithm for Synthesis of Collinear Dipole Array of Optimized Length with Minimum Standing Wave Ratio and Fixed Side Lobe Level

2010 ◽  
Author(s):  
B Basu ◽  
G K Mahanti
Keyword(s):  
Differential Evolution ◽  
Standing Wave ◽  
Differential Evolution Algorithm ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Evolution Algorithm

scholarly journals Synthesis of Linear Array Antenna for Required Range of Beam Width Using Optimization Algorithms

2018 ◽  
Vol 7 (3.31) ◽  
pp. 16
Author(s):  
N Venkateswara rao ◽  
G Challa Ram
Keyword(s):  
Linear Array ◽  
Optimization Algorithms ◽  
Differential Evolution Algorithm ◽  
Beam Width ◽  
Side Lobe ◽  
Array Antenna ◽  
Simultaneous Optimization ◽  
Side Lobe Level ◽  
Wide Range ◽  
Evolution Algorithm

In an application like radar there is a need for a wide range of Beam widths depending on whether the radar is operating in search mode or tracking mode. Wide range of beam widths can be achieved by using optimization algorithms like Biogeography-based optimization (BBO) and Differential Evolution Algorithm (DE). The desired beam width should be achieved without any significant increase in the side lobe level (SLL). This can be done by optimizing both SLL and FNBW simultaneously. Synthesis of linear array antenna for a fixed range of beam width is obtained by using the proposed methodology. The results for simultaneous optimization of FNBW and SLL using BBO and DE algorithms are compared.  

scholarly journals A Multiple Beamforming Network for Unequally Spaced Linear Array Based on CORPS

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Armando Arce ◽  
Marco Cardenas-Juarez ◽  
Ulises Pineda-Rico ◽  
David H. Covarrubias ◽  
Enrique Stevens-Navarro
Keyword(s):  
Linear Array ◽  
Beam Steering ◽  
Differential Evolution Algorithm ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Hardware Complexity ◽  
Power Combiners ◽  
Unequally Spaced ◽  
Beam Design ◽  
Evolution Algorithm

This paper proposes an alternative and innovative way to design a simpler beamforming network (BFN) based on balancing alternated power combiners and dividers, to feed a nonuniformly spaced linear array with Gaussian amplitude and coherent (in-phase) signals. Thus, a two-beam design configuration of the feeding network for a nonuniform array with beam steering capability is proposed and analyzed. The nonuniform aperture and the complex inputs of the feeding network are optimized by means of a differential evolution algorithm. In addition, a comparative analysis between a uniform and nonuniform linear array with the proposed feeding network is performed. Simulation results show the advantages and effectiveness of the proposed feeding network exploiting the nonuniformity of the antenna elements, in terms of side lobe level and directivity. Furthermore, research results show an inherent reduction in hardware complexity of the network.

Modified differential evolution algorithm for semi-supervised fuzzy clustering

2009 ◽  
Vol 29 (4) ◽  
pp. 1046-1047
Author(s):  
Song-shun ZHANG ◽  
Chao-feng LI ◽  
Xiao-jun WU ◽  
Cui-fang GAO
Keyword(s):  
Differential Evolution ◽  
Fuzzy Clustering ◽  
Differential Evolution Algorithm ◽  
Evolution Algorithm
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