Phase noise filtering and phase unwrapping method based on unscented Kalman filter  被引量:7

Phase noise filtering and phase unwrapping method based on unscented Kalman filter

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作  者:Xianming Xie Yiming Pi 

机构地区:[1]School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,P.R.China

出  处:《Journal of Systems Engineering and Electronics》2011年第3期365-372,共8页系统工程与电子技术(英文版)

基  金:supported by the National Natural Science Foundation of China (60772143)

摘  要:This paper presents a new phase unwrapping algorithm based on the unscented Kalman filter(UKF) for synthetic aperture radar(SAR) interferometry.This method is the result of combining an UKF with path-following strategy and an omni-directional local phase slope estimator.This technique performs simultaneously noise filtering and phase unwrapping along the high-quality region to the low-quality region,which is also able to avoid going directly through the noisy regions.In addition,phase slope is estimated directly from the sample frequency spectrum of the complex interferogram,by which the underestimation of phase slope is overcome.Simulation and real data processing results validate the effectiveness of the proposed method,and show a significant improvement with respect to the extended Kalman filtering(EKF) algorithm and some conventional phase unwrapping algorithms in some situations.This paper presents a new phase unwrapping algorithm based on the unscented Kalman filter(UKF) for synthetic aperture radar(SAR) interferometry.This method is the result of combining an UKF with path-following strategy and an omni-directional local phase slope estimator.This technique performs simultaneously noise filtering and phase unwrapping along the high-quality region to the low-quality region,which is also able to avoid going directly through the noisy regions.In addition,phase slope is estimated directly from the sample frequency spectrum of the complex interferogram,by which the underestimation of phase slope is overcome.Simulation and real data processing results validate the effectiveness of the proposed method,and show a significant improvement with respect to the extended Kalman filtering(EKF) algorithm and some conventional phase unwrapping algorithms in some situations.

关 键 词:phase unwrapping unscented Kalman filter(UKF) path-following strategy. 

分 类 号:TN713.1[电子电信—电路与系统] TP751[自动化与计算机技术—检测技术与自动化装置]

 

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