A Motion Compensation Method for Synthetic Aperture Sonar Based on Segment Displaced Phases Center Algorithm and Errors Fitting

To solve the problem that the Synthetic Aperture Sonar (SAS) motion errors distinct variety in large slant range may reduce the imaging resolution, this paper proposes an improved motion error fitting and compensation method based on segment Displaced Phase Center (DPC) algorithm and motion errors fitting. Firstly the raw data are segmented in slant range and each segments motion error is estimated using the DPC algorithm. Then the sway and heave are estimated using the Least-Square (LS) estimation method. Finally, the raw data are compensated point by point in slant range with the estimated sway and heave. The proposed algorithm is applied to the simulated data and lake-trial dataset, and the result confirms that the proposed method improves the SAS imaging resolution.