Motion Error Estimation Algorithm Based on DPC and INS for Synthetic Aperture Sonar

doi:10.3969/j.issn.1000-1093.2021.03.015

Abstract

Abstract: A displaced phase center (DPC) aided inertial navigation system (INS) combination method is proposed to reduce the complexity of motion measurement system and improve the estimation accuracy of motion error of synthetic aperture sonar. A multiple-receiver spatial mutual correlation matrix is built to estimate the forward velocity of sonar in reference to DPC method, and then three-dimensional velocity can be calculated with the attitude angle from INS. Kalman filter is applied to fuse data from DPC and INS, which outputs the optimal estimation of the velocity. Finally, the motion error is calculated with the integral of the velocity. The field experimental results show that DPC aided INS combination method, in comparison to DPC algorithm, increases more motion details that the velocity curve gets sharper, which means a good performance in the estimation of velocity. After motion compensation, the image quality gets improved with better focus and less ghosting.

Key words: syntheticaperturesonar, motionerror, displacedphasecenter, inertialnavigationsystem, Kalmanfilteralgorithm

CLC Number:

U666.73

ZHANG Yu， WANG Peng， LIU Jiyuan， ZHONG Rongxing， WEI Linzhe， CHI Cheng. Motion Error Estimation Algorithm Based on DPC and INS for Synthetic Aperture Sonar[J]. Acta Armamentarii, 2021, 42(3): 588-597.

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