HIGH-RESOLUTION, ACCURATE, TWO-DIMENSIONAL DIRECTION OF ARRIVAL ESTIMATION METHOD BASED ON PLANAR CO-PRIME ARRAY VIRTUAL DOMAIN TENSOR SPACE SPECTRUM SEARCHING

摘要

A high-resolution, accurate, two-dimensional direction of arrival estimation method based on planar co-prime array virtual domain tensor space spectrum searching, primarily to solve the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps of the method are: constructing a planar co-prime array; planar co-prime array reception signal tensor modeling; deriving a virtual domain equivalent signal based on a second-order mutual correlation tensor in the planar co-prime array; constructing an equivalent reception signal of a virtual domain uniform array; deriving a fourth-order autocorrelation tensor of a virtual domain smooth signal; on the basis of multi-dimensional feature extraction from the virtual domain autocorrelation tensor, performing signal and noise sub-space classification; and high-resolution, accurate two-dimensional direction of arrival estimation based on virtual domain tensor space spectrum searching. In the present method, multi-dimensional feature extraction based on planar co-prime array virtual domain tensor statistics is used to implement high-resolution, accurate, two-dimensional direction of arrival estimation based on tensor space spectrum searching.