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A Sparsity Enhancement Algorithm of Echo Signal for Wide Area Multi-target Imaging

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DOI: 10.23977/cnci2021.002

Author(s)

Zou Yimeng, Zhang Yongsheng, Jin Guanghu and He Feng

Corresponding Author

Zhang Yongsheng

ABSTRACT

Sparse distributed large array radar can detect wide area through wide beam, and can explore and image multiple targets in wide area at the same time. However, after the matched filtering in range profile, motion trajectories are different because of different motion parameters of each target. And some problems such as defocus may occur if the imaging is carried out directly. Therefore, according to the line detection method of Radon transform, the echo signal is processed to enhance the sparsity in the range profile, and the echo signal is separated into multiple single target echo signals. First of all, the range image is interpolated or downsampled to make the two-dimensional size balanced; secondly, the image is segmented along the azimuth direction and detected in segments. Each track of each target is fitted in a line; and finally, each line is spliced together to construct the mask of each signal and separate the signal of each target.

KEYWORDS

Sparse distributed radar, wide-area detection, image domain separation, styling, sparsity enhancement

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