Chirp Scaling-based multi-angle ultra-long bunching SAR super-resolution imaging algorithm

Abstract

The invention discloses a Chirp Scaling-based multi-angle ultra-long bunching SAR super-resolution imaging algorithm. According to the algorithm, Doppler spectrum offset of an ultra-long bunching multi-angle SAR echo signal in direction is deduced and analyzed, multi-angle echo fusion is realized by using the offset, then multi-angle imaging of the fused signal is completed by using the Chirp Scaling algorithm, and finally, super-resolution imaging is performed on the multi-angle ultra-long bunching SAR by using an MUSIC spectrum estimation method, and an imaging result of the Chirp Scaling algorithm is verified. The processing process of the method is not approximated, aims at processing the ultra-long bunching multi-angle SAR, and evaluates quality of an imaged image, so as to prove effectiveness of the method effectively and intuitively.

Description

technical field [0001] The invention belongs to the technical field of microwave imaging, and in particular relates to a Chirp Scaling-based multi-angle ultra-long spotlight SAR super-resolution imaging algorithm. Background technique [0002] Multi-angle spotlight SAR can use radar sensors to detect different angles of the same target or scene area to obtain multi-angle information of the target. The multi-angle ultra-long spotlight SAR in the multi-angle spotlight SAR has a larger imaging angle and an ultra-long imaging range, which can observe more abundant ground and object echoes, can effectively improve the image resolution, and can also solve traditional imaging problems. The algorithm solves the serious problem of imaging defocus, and reduces the influence of occlusion, shadow and other factors. Based on the above-mentioned advantages of this method, it can be applied to the classification and recognition of targets, as well as feature extraction and other aspects. ...

AI Technical Summary

Problems solved by technology

Li Congcong studied a distributed compressed sensing imaging technology (distributed SAR) based on the theory of compressed sensing, and proposed a distributed synthetic aperture radar multi-beam imaging algorithm, deblurring imaging algorithm and spectral synthesis imaging based on distributed compressed sensing Algorithm, among them, it is very important to construct a general sparse base that can realize echo sparsification, but in reality, not any scene can be realized, so this method has certain limitations

Zhou Hanfei also proposed a multi-angle SAR imaging algorithm (distributed SAR) based on compressed sensing, analyzed the radar system parameters that affect the performance of the measurement matrix in the compressed sensing theory, and set up a point target simulation with appropriate radar parameters. SAR compressive sensing imaging experiment, but this processing method cannot deal with ultra-long spotlight SAR echo data acquired along a straight line

[0004] Although the imaging algorithms mentioned above have good imaging effects and are approximate, they all have certain limitations.

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