Sparsity microwave imaging method based on compression phase restoring

Abstract

The invention provides a sparsity microwave imaging method based on compression phase restoring. The sparsity microwave imaging method comprises the steps that A, a radar return intensity signal generating model is constructed according to original radar return data of an observing target scene; B, the radar return intensity signal generating model is utilized for determining the optimizing goal of a reconstructing target scene backscattering coefficient; C, a compression phase restoring algorithm is utilized for solving the optical goal of the reconstructing target scene backscattering coefficient to estimate the backscattering coefficient of the target scene. According to the method, radar return intensity signals are utilized for reconstructing the backscattering coefficient of the target scene to achieve microwave imaging, and the negative influence on an imaging result due to the fact that radar return data phase errors can not be compensated accurately can be avoided.

Description

technical field [0001] The invention relates to the technical field of microwave imaging, in particular to a sparse microwave imaging method based on compressed phase recovery. Background technique [0002] Compared with optical imaging technology, modern microwave imaging technology represented by Synthetic Aperture Radar (SAR) has many advantages such as all-day and all-weather observation capabilities and high imaging resolution. It has been widely used in resource exploration, environmental monitoring, disaster assessment and other fields. With the continuous improvement of the imaging resolution and mapping bandwidth requirements of the SAR system, the structural complexity and implementation difficulty of the actual radar system have risen sharply, reaching the limit of the performance of the existing electronic devices and the level of industrial technology, and the performance of the SAR system is very high. It is difficult to obtain further improvement. [0003] I...

AI Technical Summary

Problems solved by technology

[0005] Most of the existing radar echo signal phase error compensation methods are based on the traditional microwave imaging system. Due to the differences in microwave imaging theory and methods, the above methods cannot be effectively applied in the sparse microwave imaging system.

In the case that the required conditions cannot be met and the phase error of the radar echo data cannot be accurately compensated, the microwave imaging of the target scene cannot be realized at all using the traditional imaging method based on matched filtering and the unimproved sparse microwave imaging method

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