Abstract
Satellite borne Synthetic Aperture Radar (SAR) has become an indispensable means of earth observation because of its ability of all-weather, all-weather and global observation. However, at present, the space borne SAR still has the characteristics of large volume and high cost. In recent years, the vigorous development of micro satellite field has also promoted the research of small, intelligent and distributed cooperative imaging field of space borne SAR. The traditional spaceborne SAR imaging method is to process the echo of the received LFM signal in the two-dimensional pulse compression domain. Due to the targets in the ocean are usually sparsed, it is an effective method to detect the region of interest and targets by analyzing the echo and transform domain. In this paper, the method of azimuth pulse compression is used to realize the fast perception and imaging of sparse field targets. Through comparative analysis, it can be seen that the method has a greater improvement in resource and time consumption performance compared with the traditional method.
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