相控阵天线重量调整的飞蛾火焰优化

2022 International Conference on Information Technology Systems and Innovation (ICITSI) Pub Date : 2022-11-08 DOI:10.1109/ICITSI56531.2022.9970826

Anisa Rahmanti, I. Mustika, Selo

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引用次数: 1

摘要

自适应波束形成是指对信号进行处理以提高信号强度并使智能天线的主波束不受干扰地指向期望的用户的一种方法。在相控阵天线中，采用权重调整飞蛾火焰优化(WAMFO)对各单元的权重进行调整。该算法基于飞蛾火焰优化算法(MFO)，该算法以飞蛾向火焰进行螺旋运动为目标函数。目标函数是获取参考信号与输入信号之间的最小差值。加权和将产生所需方向的最高功率，然后将干扰设置为零。仿真结果表明，该算法的权值调整比其他元启发式算法收敛速度更快。在5种不同的场景下，经过100次迭代，WAMFO的平均信噪比提高了26 ~ 32 dB。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Moth Flame Optimization for Weight Adjustment on Phased Array Antenna

Adaptive beamforming refers to a method to proceed a signal to improve strength and steer the main beam of smart antenna to the desired user against interferer. In a phased array antenna, the weight of each element is adapted with Weight Adjustment Moth Flame Optimization (WAMFO). The algorithm is based on Moth Flame Optimization (MFO) that is inspired by the moth making spiral move to the flame as the objective function. The objective function is to obtain the minimum difference between reference and incoming signal. The weighted sum will generate the highest power to the desired direction, and then the interferer will be set to null. The simulation resulted in a uniform linear array showing that weight adjustment with the algorithm proposed could achieve faster convergence than other metaheuristic schemes. WAMFO had the average SNR values improvement of 26 to 32 dB for 100 iterations in five different scenarios.

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2022 International Conference on Information Technology Systems and Innovation (ICITSI)

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