Sub-aperture algorithm for multiple-subarry SAS azimuth-variant motion compensation
In order to resolve the issues of rapid motion compensation(MOCO)and imaging for synthetic aperture sonar(SAS)with the azimuth-variant sway and yaw errors,a sub-aperture algorithm is proposed for multiple-subarry SAS azimuth-variant MOCO.Firstly,a round-trip range history model with the motion errors is established,and then the double square root form range history is approximated by the method of Taylor series expansion.Secondly,the sub-aperture MOCO and monostatic equivalent processing are presented to convert the multiple-subarry echo wave data with the azimuth-variant sway and yaw errors to the ideal monostatic data.Finally,conventional monostatic frequency domain line-by-line imaging algorithms are used to realize the rapid MOCO and high-resolution imaging.The results of simulations and real data imaging demonstrate the effectiveness of the proposed algorithm.
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