Inverse synthetic aperture radar imaging method based on gamma process linear regression

Abstract

The present invention discloses an inverse synthetic aperture radar imaging method based on Gamma process linear regression. The implementation steps of the method comprises the steps of: (1) receiving defect echo; (2) generating a real transposition echo matrix; (3) constructing a real Fourier dictionary; (4) constructing a signal model of each distance unit; (5) establishing a Gamma process-Gaussian hierarchy model for the weight vector of each distance unit; (6) establishing a Gamma- Gaussian hierarchy model for a noise vector; (7) employing the maximum posteriori-expectation maximization (MAP-EM) algorithm to calculate a weight vector of each distance unit; (8) generating a reweight matrix; and (9) performing two-dimensional high-resolution imaging. The inverse synthetic aperture radarimaging method based on the sparse signal reconstruction theory to achieve inverse synthetic aperture radar (ISAR) imaging, and can be used for two-dimensional imaging of non-cooperative targets in aspace and in a sky in a complex electromagnetic environment with low target echo signal-noise ratio and having defects.

Description

technical field [0001] The invention belongs to the technical field of radar, and further relates to an inverse synthetic aperture radar imaging method based on gamma process linear regression in the technical field of radar signal processing. The invention can realize the two-dimensional imaging of non-cooperative targets in space and in the air under the complicated electromagnetic environment where the target echo received by the inverse synthetic aperture radar has defects and the signal-to-noise ratio is low. Background technique [0002] Due to its all-time, all-weather, high-resolution and long-distance characteristics, inverse synthetic aperture radar (ISAR) plays an important role in the observation of aviation and aerospace targets. When the target cannot be continuously observed due to the limitation of the radar working mode, azimuth defect echoes will be generated. At this time, the traditional imaging method based on pulse compression will produce high side lob...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of insufficient sparse representation ability in the above-mentioned prior art, and the limitations of the model built by the weight vector are not accurate enough, and the error is high under the condition of low signal-to-noise ratio, etc., and propose a linear regression based on gamma process Inverse synthetic aperture radar imaging method to realize space and air target inverse synthetic aperture radar ISAR imaging under the condition of target echo defect and low signal-to-noise ratio

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