Airborne three-dimensional heterogeneous array clutter suppression method based on sparse spectrum recovery

Abstract

The invention discloses an airborne three-dimensional heterogeneous array clutter suppression method based on sparse spectrum recovery, and the method comprises the steps: building a geometric model of an airborne three-dimensional heterogeneous array, and obtaining a clutter model received by the airborne three-dimensional heterogeneous array; establishing a corresponding complete dictionary matrix; performing clutter spectrum recovery through a compressed sensing algorithm, then introducing a joint sparse model, and optimizing the recovered clutter space-time spectrum; and estimating a covariance matrix through an equivalence relation between the covariance matrix and clutter distribution characteristics, and further constructing a corresponding adaptive filter. According to the method, the sparse recovery model is introduced into the clutter suppression of the airborne three-dimensional heterogeneous array, and after the compressed sensing model is correctly constructed, the sparse recovery process is a pure angle and Doppler solving problem and is not influenced by the space variant of clutters, so that the method is very suitable for the clutter suppression of the airborne three-dimensional heterogeneous array.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to an airborne three-dimensional heterogeneous array clutter suppression method based on sparse spectrum restoration. Background technique [0002] The airborne three-dimensional heterogeneous array is a three-dimensional complex array composed of multiple different curved surface arrays. The large effective launch aperture can meet the needs of radar for target detection in complex battlefield environments. Compared with the traditional two-dimensional planar array, the three-dimensional heterogeneous array is a more generalized configuration, which can be regarded as a combination of multiple conformal arrays. Its clutter characteristics are very complex, so that the existing clutter suppression based on planar array or conformal array is no longer applicable, and it is necessary to study the clutter of airborne three-dimensional heterogeneous arrays from a higher...

AI Technical Summary

Problems solved by technology

Its clutter characteristics are very complex, so that the existing clutter suppression based on planar array or conformal array is no longer applicable, and it is necessary to study the clutter of airborne three-dimensional heterogeneous arrays from a higher-dimensional and broader perspective. Suppression method to establish a universal clutter model for arbitrary arrays

Due to the complexity of its clutter, its clutter suppression is also a problem

Images