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球面阵列天线波束形成技术研究
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摘要
各种先进的飞行器,为了获得高的空气动力学性能和武器性能,将它们所携带的雷达天线单元,安装在飞行器表面上,使天线阵面与飞行器表面相吻合,形成共形阵列天线。本文为了解决如何选取天线单元安装位置以改善共形阵列天线性能指标的难题,采用了共形阵列天线的稀疏、稀布技术。在飞行器表面上稀疏、稀布天线单元不仅可以有效的利用飞行器的几何形状,设计出孔径尽可能大、成本尽可能低的强方向性天线阵列,而且利于降低飞行器自身的RCS。
     本文主要针对共形阵列天线中的一种——共形球面阵列天线,展开研究和讨论。将共形球面阵列天线的几何结构与阵列的稀疏、稀布技术结合起来,借助优化算法的优化,实现球面阵列天线的综合及波束赋形。
     主要内容及创新之处包括:
     1:对遗传算法的产生与发展进行了简要的介绍,并将遗传算法与自然界中的生物进化进行了对比说明,更加生动的阐释了遗传算法的基本思想。对遗传算法的基本流程以及参数设置进行了简要的说明。
     2:采用了一种正二十面体球面三角剖分设计方法,设计出了一种可以实现天线单元近似均匀分布的共形球面阵列分布模型,该模型下的天线阵列可以保证阵列方向图在大扫描角下不发生畸变。
     3:利用遗传算法对近似均匀分布的球面模型进行了稀疏优化,在抑制峰值旁瓣电平的同时,减少了所需阵元个数,降低了其生产成本。
     4:利用遗传算法对共形球面阵列分别进行了唯相位、唯幅度及幅相加权波束赋形,在干扰方向不精确的情况下实现了阵列方向图的宽角零陷赋形。
     5:采用了一种球面区域的预划分方法,并对阵元位置分布引入了随机扰动,通过遗传算法的优化,实现了共形球面阵列中天线单元位置在多约束条件下的最优稀布。
In order to achieve greater aerodynamic performance and weapons performance, various kinds of advanced aircraft expect the radar units they carried to be installed on surface of the flight vehicle so that the surface of the arrays coincides with the surface of aircraft, forming conformal arrays antennas. To improve the performance of the conformal arrays, this dissertation uses the technology of antennas thinned and antennas sparse to calculate the most suitable positions where the antennas should be placed. Marshalling sparse arrays on surface of the vehicle takes full advantage of its geometric shapes, not only as far as possible big aperture, low costs and high gain arrays could be got, but also RCS of the aircraft could be reduced.
     This article mainly researches and discusses about the spherical arrays antennas. Unifying the conformal arrays antennas and the sparse arrays antennas' correlation technique, utilizing the optimization algorithm realizes the arrays synthesis and beam forming.
     The main details and important results which bring forth new ideas are listed as follow:
     1: Introduce the emergence and the development of genetic algorithms briefly. And compared with biological evolution in nature, genetic algorithm is explained lively and clearly. Finally, a brief description is given about the basic process of genetic algorithm and parameter settings.
     2: A new antenna elements distribution model is proposed, in this model the antennas could be distributed approximately uniform, which guarantees the array pattern without distortion under a large scanning.
     3: To suppress the peak sidelobe level, the antennas in the new model is thinned. So the number of the element required become smaller, and the production cost is reduced.
     4: The phase-only, the amplitude-only and the phase-amplitude pattern synthesis method are adopted to achieve conformal spherical array beamforming, with these methods we could achieve wide-angle array pattern nulling shaped in the case of interference with the direction of inaccurate.
     5: Propose a spherical region pre-partition method, and introduce random disturbance to the distribution of the elements, through the genetic algorithms, optimal sparse of the spherical conformal array antenna unit location is achieved in the multi-constrained.
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