Microwave imaging method based on scenario block sparsity

Abstract

The invention discloses a microwave imaging method based on scenario block sparsity, and relates to a radar imaging technology. The method includes the steps of carrying out sparse observation over a block sparsity scenario in a compression sampling mode by utilizing a fact that the geometry size of a target in an actual imaging scenario is greater than the spatial resolution of high resolution microwave imaging radar and the imaging scenario usually covers multiple radar resolution units, and carrying out an efficient image reconstruction based on the block sparsity of the scenario. The method is different from an imaging method based on matched filtering; a sparse microwave imaging radar is based on sparse signal processing, recovers observed scarsity or transforms a domain sparsity scenario by that the method solves an optimization problem. Under the same sampling condition, the reconstruction of the sparse imaging scenario is more accurate than that of a conventional sparse microwave imaging, and sparser observation over the sparse scenario also can be achieved under the same reconfiguration performance conditions, so that the data rate of sampling is further reduced.

Description

technical field [0001] The invention relates to the technical field of radar imaging, in particular to a sparse microwave imaging method based on scene block sparseness, which is suitable for high-resolution sparse microwave imaging and provides technical support for high-precision reconstruction of sparse microwave imaging radar images. Background technique [0002] Synthetic Aperture Radar (SAR), as an active high-resolution microwave remote sensing device that can work all day and all day, has been widely used in military and civilian earth observation and other related fields, such as earth resources Environmental survey and high-precision surveying and mapping, natural disaster monitoring and emergency response, wide-range marine resources and sea surface ship surveillance, reconnaissance and early warning, etc. With the rapid development of semiconductor devices and the continuous development of microwave imaging theory and methods, it has become technically possible f...

AI Technical Summary

Problems solved by technology

[0015] The purpose of the present invention is to disclose a sparse microwave imaging method based on scene block sparseness, which utilizes the block-sparse characteristics of sparse objects and block-sparse prior information for image reconstruction to overcome the high false alarms of existing sparse reconstruction algorithms. Disadvantages of Probability or Low Probability of Detection

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