A low-angle target doa estimation method and device based on spatial difference matrix reconstruction

Abstract

The invention discloses a low-angle target DOA estimation method and device based on spatial difference matrix reconstruction, belonging to the field of radar signal and information processing. It is used to solve the problem that the traditional spatial smoothing and spatial difference algorithms cannot effectively use the data in the signal covariance matrix, resulting in data loss when suppressing white noise or colored noise. Including: receiving the echo signal, the echo signal includes the direct signal and the reflection signal, when the number of snapshots is the set value, determining the sample covariance matrix of the echo signal; dividing the uniform linear array into P forward sub-arrays, The elements below the diagonal of the sample covariance matrix are used as the extraction object to determine the reconstruction matrix; through the reconstruction matrix, the initial matrix with the same noise covariance is determined, and the spatial difference is established according to the symmetry of the initial matrix and the sample covariance matrix matrix to determine the objective function for DOA estimation.

Description

technical field [0001] The present invention relates to the technical field of radar signal and information processing, and more specifically to a low-angle target DOA estimation method and device based on spatial difference matrix reconstruction. Background technique [0002] In modern warfare, low-altitude and ultra-low-altitude penetration has become an important tactical means to seize air supremacy. Using multiple arrays to conduct low-altitude penetration target space direction finding research has a clear military application prospect for winning future information-based local wars. In the low-altitude environment, the coherent characteristics of the direct echo signal and the reflected echo signal of the target make the traditional direction of arrival (DOA) estimation algorithm invalid, such as multiple signal classification (MUSIC), signal parameter estimation with rotation invariant technique (ESPRIT), propagation Operator (PM) and other algorithms. Therefore, th...

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Problems solved by technology

[0004] Embodiments of the present invention provide a low-angle target DOA estimation method and device based on spatial difference matrix reconstruction, which can solve the problem that traditional spatial smoothing and spatial difference algorithms cannot effectively use the data in the signal covariance matrix, resulting in the suppression of white noise or color There is a problem of data loss when there is noise

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