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