Beam Pattern Synthesis Optimization for Opportunistic Array Radar with Mutual Coupling
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摘要: 机会阵雷达大量天线单元在空间随机分布,波束方向图综合时考虑阵元间的互耦影响十分必要。该文基于子阵思想,提出交叉划分子阵,利用子阵的互阻抗矩阵构建任意阵的互阻抗矩阵,并结合自适应算法实现了互耦情况下的机会阵雷达的波束综合优化。该方法利用矩量法计算子阵的广义互阻抗矩阵,应用最大输出信噪比准则,在方向图区域施加干扰信号自适应地调整阵因子,综合了非均匀偶极子线阵和面阵,结果与FEKO软件仿真结果吻合良好。Abstract: It is necessary to take mutual coupling of arrays into account in the research of array pattern synthesis for Opportunistic Array Radar (OAR) with a large number of antenna elements randomly distributed in the space. Active element patterns of a large array are constructed from those of a small array. In this paper, based on the idea of the sub-array, the large array is divided into across some sub-arrays, which can include the same elements. Building the mutual impedance matrix?of?large arbitrary array with the mutual impedance matrix?of the sub-array and combining with adaptive algorithm to realize the beam pattern synthesis optimization for OAR. The method of moment is used to calculate the generalized mutual impedance matrix of sub-arrays in this method. Last, based on maxim output signal-to-noise rate criteria, adding imaginary jammers into angle domain to adaptively change weights of the array factors for synthesizing patterns. An uniform linear array and a plane array are synthesized with the method. Calculated results agree with that with FEKO Software Simulation.
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Key words:
- Radar /
- Antenna array /
- Beam pattern synthesis /
- Adaptive algorithm /
- Mutual coupling /
- Sub-array
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