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Optimizing appropriate two probable Value method by adaptive genetic algorithm

机译:用自适应遗传算法优化适当的两种可能值方法。

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Phased array antenna uses phase shifters to change the beam direction, thereby introducing the periodic quantization lobe,and raising the peak sidelobe level. The appropriate two probable Value (A2PV) can effectively suppress the parasitic lobe. But the A2PV method result is an average optimum of a statistical sense. The peak sidelobe is random and has large variance. This paper introduces the adaptive genetic algorithm(AGA) to optimize the A2PV result. It can effectively suppress the parasitic sidelobes, reduce the peak sidelobe, and determine the scanning wave control code. The simulation results show that AGA can achieve a stable and better feed distribution.
机译:相控阵天线使用移相器改变波束方向,从而引入周期性量化波瓣,并提高峰值旁瓣电平。适当的两个可能值(A2PV)可以有效地抑制寄生波瓣。但是A2PV方法的结果是统计意义上的平均最优值。峰值旁瓣是随机的,并且具有较大的方差。本文介绍了自适应遗传算法(AGA)来优化A2PV结果。它可以有效地抑制寄生旁瓣,减小峰值旁瓣,并确定扫描波控制码。仿真结果表明,AGA可以实现稳定,更好的饲料分配。

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