A New Imaging Geometry Model for Determining Phase Distribution in Multi-receiver Synthetic Aperture Sonar

Abstract

This paper proposes a novel imaging geometry model for the determination of phase distribution and beam pattern in multi-receiver synthetic aperture sonar (SAS). With the proposed model, the phase errors can be completely compensated based on the accuracy calculation of the propagation time and the Doppler frequency when reconstructing SAS image. Compared with the existing models, the proposed model shows that it can improve the imaging performance by using the back projection algorithm (BPA) due to avoiding approximations. Simulations are used to validate the proposed model and to evaluate the SAS imaging performance.