期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：170
期号：2
页码：022113
DOI：10.1088/1755-1315/170/2/022113
语种：English
出版社：IOP Publishing
摘要：Squint multi-aperture synthetic aperture sonar (SAS) data is more challenging to process than data about its common side-looking counterpart because the geometry is complicated. While traditional multi-aperture algorithms mainly handle general side-looking cases, they do not work well for squint cases. In this paper, a squint multi-aperture chirp scaling algorithm (SMACSA) is proposed that is suited to process multi-aperture SAS data with small squint angle. In the derivation of the imaging algorithm, the squint multi-aperture signal is converted into the squint monostatic signal by the phase compensation factor of range dependent and the delay compensation factor on reference range, then the multi-aperture chirp scaling algorithm (SMACSA) is first proposed by drawing on the classic chirp scaling algorithm (CSA). The greatest improvement between SMACSA and CSA is the azimuth walk introduced by non-stop-hop-stop mode. Finally, the validity of SMACSA is proved by computer simulation.
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