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Accurate two-dimensional direction of arrival estimation method with high resolution based on virtual domain tensor spatial spectrum search of coprime plane array

机译:基于互质平面阵列虚域张量空间谱搜索的高分辨率二维波达方向精确估计方法

摘要

PROBLEM TO BE SOLVED: To disclose an accurate two-dimensional arrival direction estimation method with high resolution. SOLUTION: A coprime plane array is constructed. Received signal tensor modeling of the coprime plane array. Derivation of a virtual domain equivalent signal based on the quadratic cross-correlation tensor of the coprime plane array. Virtual domain Equivalent received signals of evenly spaced area arrays are constructed. Derivation of a fourth-order autocorrelation tensor for virtual domain smoothing signals. Achieve signal and noise subspatial classification based on multidimensional feature extraction of virtual domain autocorrelation tensors. It is an accurate two-dimensional arrival direction estimation of high resolution based on the virtual domain tensor spatial spectrum search. The present invention realizes accurate two-dimensional arrival direction estimation of high resolution based on tensor spatial spectrum search based on multidimensional feature extraction of virtual domain tensor statistics of coprime plane array, and is used for passive detection and target positioning. Can be done. [Selection diagram] Fig. 1
机译:需要解决的问题:公开一种高分辨率的精确二维到达方向估计方法。解决方案:构造互质平面阵列。互质平面阵列的接收信号张量建模。基于互质平面阵列的二次互相关张量推导虚域等效信号。构造了等间距面阵的虚域等效接收信号。推导虚域平滑信号的四阶自相关张量。实现了基于虚域自相关张量多维特征提取的信号和噪声子空间分类。它是一种基于虚域张量空间谱搜索的高分辨率二维波达方向精确估计方法。本发明基于互质平面阵列虚域张量统计量的多维特征提取,实现了基于张量空间谱搜索的高分辨率精确二维到达方向估计,用于被动探测和目标定位。这是可以做到的。[选择图]图1

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