结合滤波算法的不敏卡尔曼滤波器相位解缠方法

提出结合预滤波算法的不敏卡尔曼滤波（UKF）相位解缠方法。该方法把UKF、传统路径跟踪策略、全方位的局部相位梯度估计技术以及小窗口干涉图预滤波算法有效结合起来，能在相位解缠的同时进行干涉相位噪声抑制，既不受相位残差点影响，又避免了传统方法在相位解缠之前须尽可能滤除干涉图中相位噪声的不足。模拟和实测数据实验结果验证了本文方法的有效性，且与扩展卡尔曼滤波相位解缠算法（EKFPU）以及传统方法相比具有较高的精度。

An UKF phase unwrapping algorithm with a pre-filtering procedure

Combining an unscented KALMAN filter (UKF) with a conventional path-following strategy and an omni-directional local phase slope estimator as well as a pre-filtering procedure, this paper presents a new phase unwrapping algorithm with a pre-filtering procedure to perform almost noise canceling and phase unwrapping at the same time. Results obtained with synthetic and real data validate the effectiveness of the proposed method.