合成孔径声纳重叠相位中心与惯性导航系统联合估计运动误差算法

为降低运动测量系统复杂度、提高运动误差估计精度,使用回波数据与惯性导航系统(INS)数据两种数据源联合估计合成孔径声纳的运动误差,形成一种基于重叠相位中心(DPC)算法和INS的DPC联合INS算法.利用回波的多子阵空间互相关矩阵估计声纳的前向速度,结合INS姿态角解算出DPC方法下的三向速度,采用卡尔曼滤波算法融合D...

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

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.