机会式电磁矢量传感器阵列互耦校正算法

Mutual coupling calibration algorithm for opportunity type electromagnetic vector sensor array

针对电磁矢量传感器阵列中的互耦效应导致系统性能下降的问题,研究了一种分布式电磁矢量传感器机会式阵列互耦校正算法。首先建立可以从信噪比、波达方向估计精度和孔径扩展维数等性能方面分析线性阵列、三角形阵列和双三角形阵列等阵列结构特性的数学模型,然后根据性能分析结果构建了电磁矢量传感器机会式阵列架构,最后提出了适用于分布式电磁矢量传感器阵列的机会式互耦校正算法。实验结果从波达方向估计精度、空间谱估计精度和信噪比等方面证明了所提分布式电磁矢量传感器机会式阵列互耦校正算法比静态传感器阵列具有明显优势。

Aiming at problem that mutual coupling effect of electromagnetic vector sensor array cause degradation of system performance,study a kind of distributed electromagnetic vector sensor array mutual coupling calibration algorithm based on opportunity. Firstly,analyze linear array from performances such as signal to noise ratio, direction of arrival estimation precision and number of extended aperture dimension,mathematical model for structure characteristics of triangular array and double triangle array;and then according to result of performance analysis,construct electromagnetic vector sensor opportunity type array architecture;finally,put forward opportunity type mutual coupling calibration algorithm suitable for distributed electromagnetic vector sensor array. Experimental results prove that the proposed distributed electromagnetic vector sensor opportunity type array mutual coupling calibration algorithm has obvious advantages than the static sensor array in direction of arrival estimation precision,spatial spectrum estimation precision and signal-to-noise ratio.