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Directivity maximization and optimal far-field pattern of time modulated linear antenna arrays using evolutionary algorithms

机译:使用进化算法的时间调制线性天线阵列的方向性最大化和最佳远场方向图

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In this paper evolutionary algorithm based design of time modulated 16-element linear antenna array with improved directivity and side lobe level (SLL) with low radiated power at sideband harmonics has been dealt with. In time modulated linear antenna array time is used as fourth dimensional parameter. The comparative study has been made with all the possible combinations of control parameters like constant excitation amplitude, inter-element spacing, and "time" as the fourth dimension. The same array radiates at various harmonic frequencies. In this paper the authors have considered only two harmonic frequencies; first sideband frequency and second side band frequency. Various simulation results are presented showing better side lobe performance, better side band performance and improved directivity with respect to the uniform case. The statistical analysis and t-test have been done to prove the superior performance of differential evolution with wavelet mutation (DEWM) better than real coded genetic algorithm (RGA), particle swarm optimization (PSO), and differential evolution (DE). (C) 2015 Elsevier GmbH. All rights reserved.
机译:本文研究了基于进化算法的时间调制16元素线性天线阵列的设计,该阵列具有改进的方向性和边带谐波下具有低辐射功率的旁瓣电平(SLL)。在时间调制线性天线阵列中,时间用作第四维参数。进行了比较研究,将所有可能的控制参数组合(例如恒定励磁幅度,单元间距和“时间”)作为第四维。同一阵列以各种谐波频率辐射。在本文中,作者仅考虑了两个谐波频率。第一边带频率和第二边带频率。给出了各种仿真结果,相对于均匀情况,它们显示出更好的旁瓣性能,更好的边带性能和改进的方向性。通过统计分析和t检验,证明了具有小波突变(DEWM)的差分进化优于真实编码遗传算法(RGA),粒子群优化(PSO)和差分进化(DE)的优异性能。 (C)2015 Elsevier GmbH。版权所有。

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