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首页> 外文期刊>Signal Processing: An International Journal >Elements Space and Amplitude Perturbation Using Genetic Algorithm for Antenna Array Sidelobe Cancellation
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Elements Space and Amplitude Perturbation Using Genetic Algorithm for Antenna Array Sidelobe Cancellation

机译:遗传算法在天线阵旁瓣对消中元素空间和振幅摄动

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摘要

A simple and fast genetic algorithm (GA) developed to reduce the sidelobes in non-uniformly spaced linear antenna arrays. The proposed GA algorithm optimizes two vectors of variables to increase the Main lobe to Sidelobe power ratio (M/S) of array’s radiation pattern. The algorithm, in the first phase calculates the positions of the array elements and in the second phase, it manipulates the amplitude of excitation signals for each element. The simulations performed for 16 and 24 elements array structure. The results indicated that M/S improved in first phase from 13.2 to over 22.2dB meanwhile the half power beamwidth (HPBW) left almost unchanged. After element replacement, in the second phase, by using amplitude tapering further improvement up to 32dB was achieved. Also, the simulations shown that after element space perturbation, some antenna elements can be merged together without any performance degradation in radiation pattern in terms of gain and sidelobes level.
机译:开发了一种简单快速的遗传算法(GA),以减少非均匀间隔的线性天线阵列中的旁瓣。拟议的GA算法优化了两个变量矢量,以增加阵列辐射方向图的主瓣与旁瓣功率比(M / S)。该算法在第一阶段计算阵列元素的位置,在第二阶段计算每个元素的激励信号的幅度。对16和24个元素的数组结构执行了仿真。结果表明,第一阶段的M / S从13.2提高到22.2dB以上,而半功率波束宽度(HPBW)几乎保持不变。更换元件后,在第二阶段,通过使用幅度逐渐减小功能,可以进一步提高到32dB。同样,仿真表明,在元件空间扰动之后,一些天线元件可以合并在一起,而就增益和旁瓣电平而言,辐射方向图的性能不会降低。

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