Sparse scene down-sampling SAR imaging method based on matrix filling

Abstract

The invention discloses a sparse scene down-sampling SAR imaging method based on matrix filling, and the method comprises the implementation steps as follows: (1) inputting an SAR echo; (2) carrying out two-dimension down sampling; (3) carrying out initializing; (4) calculating an echo residual error; (5) updating a reconstruction SAR echo; (6) generating a principal component image; (7) generating a reconstruction SAR echo; (8) judging whether the number of times of iteration reaches 50 or not; (9) carrying out SAR imaging. According to the invention, a matrix-filling principal element selection method and a hard threshold iteration method are employed for reconstructing an SAR echo for imaging, thereby breaking through a Nyquist sampling rate. The method can employs a little sparse scene echo data for imaging. The method is high in target resolution, is low in background noises, is high in calculation efficiency, is simple in parameter arrangement, and can be used for sparse scene down-sampling SAR imaging.

Description

technical field [0001] The invention belongs to the field of radar technology, and further relates to a matrix filling-based sampling synthetic aperture radar (SyntheticApertureRadarSAR) imaging method in the field of SAR imaging technology. The invention can be used to perform synthetic aperture radar SAR imaging on sampling data in a sparse scene, breaking through the limitation of the Nyquist sampling theorem. Background technique [0002] Synthetic aperture radar (SAR) has the characteristics of all-weather, all-weather, high resolution and interference suppression, and is widely used in military and civilian fields, such as military reconnaissance, environmental detection, land resource management, etc. With the development of synthetic aperture radar (SAR) technology, the radar resolution and mapping bandwidth are required to be continuously improved, and the bottleneck effect of big data is becoming more and more obvious. [0003] Modulation standard ChirpScaling ima...

AI Technical Summary

Problems solved by technology

However, the disadvantage of the ChirpScaling imaging algorithm is that this method is limited by the Nyquist sampling theorem, which means that a larger signal bandwidth is required to obtain a larger synthetic aperture in order to obtain a high-resolution SAR image Radar SAR echo data, which will cause great difficulties for the rapid acquisition, storage and transmission of synthetic aperture radar SAR data, and hinder the development of synthetic aperture radar SAR, especially spaceborne synthetic aperture radar SAR

However, the disadvantages of this method are that it is impossible to completely remove the background from the synthetic aperture radar image obtained under the down-sampling condition, and it is difficult to detect the target in the image, and the calculation efficiency is not high when processing the down-sampled sparse data.

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