高斯牛顿滤波相位解缠算法OA
Gauss-Newton filtering phase unwrapping algorithm
为有效提升干涉图相位解缠(phase unwrapping,PU)的准确性和可靠性,本文提出一种基于高斯牛顿滤波(Gauss-Newton filtering,GNF)的相位解缠算法.首先,将解缠相位和相位梯度作为状态变量同时进行估计,构建基于扩展状态变量维数的高斯牛顿滤波相位解缠算法.其次,通过基于堆排序的路径跟踪策略规划高斯牛顿滤波相位解缠算法的解缠路径,以提高相位解缠的效率和精度.最后,基于模拟和实测数据开展实验,将高斯牛顿滤波相位解缠算法与常用的枝切法、迭代最小二乘法、质量引导法、无迹卡尔曼相位解缠算法进行比较,验证了本文算法的有效性,相较于精度表现同样优良的无迹卡尔曼相位解缠算法,该算法的精度至少提升7.67%.
In order to effectively improve the accuracy and reliability of interferogram phase unwrapping,a phase unwrapping algorithm based on Gauss-Newton filtering was proposed.First,the unwrapped phase and phase gradient were estimated simultaneously as a state variable,and the Gauss-Newton filtering phase unwrapping procedure based on the extended state variable dimension was constructed.Second,the working path of the Gauss-Newton filtering phase unwrapping procedure was planned by a path tracking strategy based on heap sorting in order to improve the efficiency and accuracy of phase unwrapping.Finally,the efficacy of the proposed method was validated through the utilisation of simulated and measured data experiments,with a comparative analysis conducted against the commonly employed branch-cut,iterative least squares,quality-guided,and unscented Kalman filtering phase unwrapping algorithm,and the accuracy is improved by at least 7.67%compared with the unscented Kalman filtering phase unwrapping algorithm,which also performs well in terms of accuracy.
望倪涛;谢先明;王鑫汉;胡佳俊;贾金国
广西科技大学 自动化学院,广西 柳州 545006广西科技大学 电子工程学院,广西 柳州 545006广西科技大学 自动化学院,广西 柳州 545006广西科技大学 自动化学院,广西 柳州 545006广西科技大学 自动化学院,广西 柳州 545006
天文与地球科学
干涉图相位解缠(PU)高斯牛顿滤波(GNF)路径跟踪策略
interferogramphase unwrapping(PU)Gauss-Newton filtering(GNF)path tracking strategy
《广西科技大学学报》 2026 (2)
70-81,12
国家自然科学基金项目(62161003)广西自然科学基金项目(2023GXNSFAA026024)资助
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