一种新的InSAR相位解缠算法

A New Method of Phase Unwrapping of InSAR Systems

干涉相位解缠直接影响到干涉合成孔径雷达(InSAR)高程测量精度,是InSAR处理及其重要的一步。文中在研究了最小二乘法相位解缠的基础上,提出了一种基于解缠相位误差迭代补偿的加权最小二乘法。首先,采用加权最小二乘法得到相位解缠的初值,然后,再通过对解缠误差相位的迭代补偿,对解缠效果进行优化。另外,针对迭代次数的合理选择,还设计了一种迭代机制,避免了迭代次数过多引入的补偿冗余和迭代次数过少导致的补偿不足。相比最小二乘法,该方法通过加权处理对相位噪声的全局影响进行了约束;通过误差迭代补偿进一步大大提高了解缠精度。仿真试验结果表明:文中所提方法具有优越性。

Phase unwrapping is a very important step of InSAR processing, and its result may directly affect InSAR＇s elevation ac- curacy. Based on deep research of lease-square algorithms for phase unwrapping, a new weighted least-square method using error＇ s iterarive compensation is proposed in this paper. Firstly, the initial result of unwrapped phase is obtained by FFT-based weighted least-square algorithm. Secondly, the unwrapping result is optimized by iterarive compensation. In addition, for the decision of it- erative time, this paper designs a method which may avoid redundancy and insufficiency. Compared with normal least-square algo- rithms, the proposed method restricts the noise＇s spread by weighted processing and improves the unwrapping accuracy evidently by iterarive compensation. Finally, the simulation results prove the conclusion proposed.