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    基于阵中阵元方向图解耦的大型阵列电性能预测方法

    • 摘要: 有源相控阵天线(APAA)的阵面形变会显著恶化其辐射性能,传统电性能预测方法存在计算效率与精度难以兼顾的瓶颈问题。为解决此问题,本文提出了一种基于阵中阵元方向图解耦的大型阵列电性能快速预测方法。该方法通过泰勒展开将阵元方向图解耦为指向偏差项和互耦效应项:指向偏差项通过孤立单元中心差分计算,互耦效应项通过AEP外推法等效替代。实验结果表明,相较于方向图乘积法,本文方法在不同阵面变形量下均能保持90%以上的高预测精度,各项关键电性能指标(增益、副瓣电平、波束宽度)与全波仿真结果高度吻合;同时,其计算效率相较于HFSS全波仿真提升了数个数量级。

       

      Abstract: The radiation performance of an Active Phased Array Antenna (APAA) was known to be significantly degraded by its surface distortion. A bottleneck problem where computational efficiency and prediction accuracy were difficult to balance existed in traditional electrical performance prediction methods. To solve this problem, a fast prediction method for the electrical performance of large arrays based on the pattern decoupling of in-array elements was proposed in this paper. The element pattern was decoupled into a pointing deviation term and a mutual coupling effect term via Taylor expansion: the pointing deviation term was calculated by the central difference of an isolated element, and the mutual coupling effect term was equivalently replaced by the Active Element Pattern (AEP) extrapolation method. The experimental results indicate that compared with the pattern multiplication method, the proposed method maintains high prediction accuracy of over 90% under different surface deformation levels, and key electrical performance indicators (gain, sidelobe level, beamwidth) are highly consistent with the full-wave simulation results. Meanwhile, its computational efficiency is improved by several orders of magnitude compared with the HFSS full-wave simulation.

       

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