顾及模型误差的卡尔曼滤波相位解缠

Kalman filter phase unwrapping algorithm based on error factors

本文提出一种顾及模型误差的卡尔曼滤波相位解缠算法,该算法在卡尔曼滤波的状态空间模型中引入一与误差因素有关的控制变量,对相位误差进行补偿,通过在解缠过程中将卡尔曼滤波增益限制在一定范围内,把误差阻遏在相当小的区域,最后对解缠相位进行卡尔曼滤波平滑操作,减少了误差的传播。分别采用仿真数据和真实InSAR数据进行实验,并与原卡尔曼滤波相位解缠结果进行对比分析,验证了本文方法的有效性。

This paper presented a Kalman filter phase unwrapping algorithm based on error factors . This method can be imple- mented through the introduction of the input control variable associated with error factors to the state-space model of Kalman filter to compensate the phase error. The Kalman filter gain was limited within a certain range during the phase unwrapping process for the error to be prevented in a very small area. Finally, the Kalman filter smoothing was implemented, and the error propagation was reduced. In this paper, using simulated data and real InSAR data to do the experiment and compare with the conventional Kalman Filter phase unwrapping algorithm, the method effectiveness was verified.