High-resolution accurate two-dimensional direction-of-arrival estimation method based on planar co-prime array virtual domain tensor spatial spectrum search

Abstract

The invention discloses a high-resolution accurate two-dimensional direction-of-arrival estimation method based on planar co-prime array virtual domain tensor spatial spectrum search, and mainly solves the problems of signal multi-dimensional information loss and spatial spectrum resolution and accuracy limitation in the existing method. The method comprises the following implementation steps: constructing a planar co-prime array; modeling a receiving signal tensor of the planar co-prime array; deriving a virtual domain equivalent signal based on a planar co-prime array second-order mutual correlation tensor; constructing an equivalent received signal of a virtual domain uniform area array; deriving a fourth-order autocorrelation tensor of the virtual domain smooth signal; realizing signaland noise subspace classification based on multi-dimensional feature extraction of a virtual domain autocorrelation tensor; and high-resolution accurate two-dimensional direction-of-arrival estimation based on virtual domain tensor spatial spectrum search. According to the method, high-resolution accurate two-dimensional direction-of-arrival estimation based on tensor spatial spectrum search is realized on the basis of multi-dimensional feature extraction of virtual domain tensor statistics of the planar co-prime array, and the method can be used for passive detection and target positioning.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, and in particular relates to a statistical signal processing technology based on planar coprime array tensor signals, specifically a high-resolution and accurate two-dimensional direction of arrival based on planar coprime array virtual domain tensor space spectrum search Estimation method that can be used for passive detection and spatial localization. Background technique [0002] As a two-dimensional sparse array with a systematic architecture, the planar coprime array has the characteristics of large aperture and high resolution. Compared with the traditional uniform array, it can realize the comprehensive performance of two-dimensional DOA estimation in terms of estimation accuracy and resolution. At the same time, by constructing a two-dimensional virtual domain, the signal processing that meets the Nyquist matching condition can be performed on the uniform array in the virt...

AI Technical Summary

Problems solved by technology

However, the existing method is still based on the actual received tensor signal processing, and does not use the two-dimensional virtual domain of the planar coprime array to construct the tensor space spectrum, and does not solve the problem of the signal mismatch of the planar coprime array, resulting in the accuracy Damaged; and the generated spectral peaks have low resolution and are prone to mutual aliasing

Therefore, there is still a large room for improvement in the accuracy and resolution performance of existing methods

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