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Space-borne antenna adaptive anti-jamming method based on gradient-genetic algorithm

机译:基于梯度遗传算法的星载天线自适应抗干扰方法

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摘要

A novel space-borne antenna adaptive anti-jamming method based on the genetic algorithm (GA), which is combined with gradient-like reproduction operators is presented, to search for the best weight for pattern synthesis in radio frequency (RF). Combined, the GA's the capability of the whole searching is, but not limited by selection of the initial parameter, with the gradient algorithm's advantage of fast searching. The proposed method requires a smaller sized initial population and lower computational complexity. Therefore, it is flexible to implement this method in the real-time systems. By using the proposed algorithm, the designer can efficiently control both main-lobe shaping and side-lobe level. Simulation results based on the spot survey data show that the algorithm proposed is efficient and feasible.
机译:提出了一种基于遗传算法(GA)的空载天线自适应抗干扰方法,该方法结合了类似梯度的再现算子,为射频(RF)方向图的合成寻找最佳权重。结合起来,遗传算法的整个搜索能力不受初始参数选择的限制,但具有梯度算法快速搜索的优势。所提出的方法要求较小的初始种群和较低的计算复杂度。因此,可以在实时系统中灵活地实现此方法。通过使用提出的算法,设计人员可以有效地控制主瓣成形和旁瓣电平。基于现场调查数据的仿真结果表明,该算法是有效可行的。

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