首页> 外国专利> TWO-DIMENSIONAL DIRECTION-OF-ARRIVAL ESTIMATION METHOD FOR COPRIME PLANAR ARRAY BASED ON STRUCTURED COARRAY TENSOR PROCESSING

TWO-DIMENSIONAL DIRECTION-OF-ARRIVAL ESTIMATION METHOD FOR COPRIME PLANAR ARRAY BASED ON STRUCTURED COARRAY TENSOR PROCESSING

机译:基于结构勾勒张量加工的基于结构化辅助加工的二维飞行阵列的二维估计方法

摘要

A two-dimensional direction-of-arrival estimation method for a coprime planar array based on structured coarray tensor processing, the method includes: deploying a coprime planar array; modeling a tensor of the received signals; deriving the second-order equivalent signals of an augmented virtual array based on cross-correlation tensor transformation; deploying a three-dimensional coarray tensor of the virtual array; deploying a five-dimensional coarray tensor based on a coarray tensor dimension extension strategy; forming a structured coarray tensor including three-dimensional spatial information; and achieving two-dimensional direction-of-arrival estimation through CANDECOMP/PARACFAC decomposition. The present disclosure constructs a processing framework of a structured coarray tensor based on statistical analysis of coprime planar array tensor signals, to achieve multi-source two-dimensional direction-of-arrival estimation in the underdetermined case on the basis of ensuring the performance such as resolution and estimation accuracy, and can be used for multi-target positioning.
机译:该方法包括:展开基于结构性Coarray张量处理的基准式平面阵列的二维方向估计方法。建模接收信号的张量;基于互相关张量变换导出增强虚拟阵列的二阶等同信号;部署虚拟阵列的三维Coarray Tensor;基于Coarray张量尺寸延长策略部署五维勾勒张量;形成包括三维空间信息的结构化辅成张量;通过Candecomp / Paracfac分解实现二维方向估计。本公开基于COPRIME平面阵列扭矩信号的统计分析构建了结构化Coarray Tensor的处理框架,基于确保诸如的性能分辨率和估计精度,可用于多目标定位。

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