基于回波信号的一种合成孔径声纳运动补偿方法

运动补偿是合成孔径声纳(SAS)成像的关键问题,SAS系统一般利用多接收阵回波信号数据的互相关特性进行运动补偿.本文提出一种基于单接收阵和强点目标回波的运动补偿方法,并在推导侧摆误差模型的基础上,进行了计算机仿真.仿真和实测数据实验结果表明该方法的有效性.

Four Parameter Model Based Motion Estimation in Frequency Domain

Although affine model has more ability to describe the motion field,it's very difficult to be used for it's high computational complexity.In this paper,a novel fast algorithm is proposed which is derived from traditional phase correlation motion estimation method.In FFT frequency domain,the phase shift indicates the translation components of affine motion and the spectrum magnitude indicates the linear components of affine motion.So we utilize this FFT spectrum characteristic to separate the affine parameters estimation to translation components and linear components.The computational complexity is decreased dramatically.For improving the robust of linear component estimation,we use an affine invariant feature to calculate the correlative points between magnitude spectrums.Simulation indicates that our method can improve the estimation result greatly with sustainable computational complexity.