基于联合像素模型的InSAS干涉相位估计方法

InSAS Interferometric Phase Estimation Based on Joint Pixel Model

针对干涉合成孔径声呐(InSAS)成像的特点,提出了一种新的联合观测矢量构造方法用于InSAS干涉相位的估计。新方法构造的观测矢量的协方差矩阵具有确定的噪声子空间维数(为定值1),避免了原方法中因噪声子空间维数估计不准确带来的相位估计误差;另外,观测矢量构造维数更少,提高了计算效率。仿真数据及InSAS实测数据的处理结果证明了此方法的有效性。

A novel joint data vector formulation method for InSAS interferometric phase estimation is proposed in this paper.The method does not need to calculate the noise subspace dimension of the covariance matrix in estimating the InSAS interferometric phase,thus avoiding the effect due to the inaccuracy estimate of the noise subspace dimension.Computer simulation and the real data of InSAS results show the validity and high efficiency of the method.