Title :
Multi-baseline phase unwrapping algorithm based on the unscented kalman filter
Author :
Xianming, X. ; Yiming, P.
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
fDate :
3/1/2011 12:00:00 AM
Abstract :
A new multi-baseline phase unwrapping algorithm based on the unscented Kalman filter (UKF) for SAR interferometry is proposed. This method is the result of combining a UKF with a path-following strategy and an omni-directional local phase slope estimator. This technology simultaneously performs noise filtering and phase unwrapping by an optimal data fusion approach. In addition, phase slope will be directly estimated from the sample frequency spectrum of the complex interferogram, by which the underestimation of phase slope is overcome. Results obtained with synthetic and real data validate the effectiveness of the proposed method.
Keywords :
Kalman filters; radar interferometry; sensor fusion; synthetic aperture radar; SAR interferometry; multibaseline phase unwrapping algorithm; noise filtering; omni-directional local phase slope estimator; optimal data fusion approach; path-following strategy; sample frequency spectrum; unscented Kalman filter;
Journal_Title :
Radar, Sonar & Navigation, IET
DOI :
10.1049/iet-rsn.2010.0073