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顾及模型误差的卡尔曼滤波相位解缠
引用本文:刘国林,闫满.顾及模型误差的卡尔曼滤波相位解缠[J].测绘科学,2012,37(2):170-172.
作者姓名:刘国林  闫满
作者单位:1. 山东科技大学测绘科学与工程学院,山东青岛,266510
2. 山东科技大学测绘科学与工程学院,山东青岛266510;黑龙江科技学院计算机与信息工程学院,哈尔滨150027
基金项目:国家自然科学基金(40874001);国家863计划(2009AA12Z147);山东省泰山学者建设工程专项经费(TSXZ-0520)
摘    要: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。

关 键 词:InSAR  卡尔曼滤波  相位解缠  误差补偿  卡尔曼滤波平滑

Kalman filter phase unwrapping algorithm based on error factors
LIU Guo-lin , YAN Man.Kalman filter phase unwrapping algorithm based on error factors[J].Science of Surveying and Mapping,2012,37(2):170-172.
Authors:LIU Guo-lin  YAN Man
Institution:①②(①Geomatics College,Shandong University of Science and Technology,Shandong Qingdao 266510,China;②Computer and Information Engineering College,Heilongjiang Institute of Science and Technology,Haerbin 150027,China)
Abstract:This paper presented a Kalman filter phase unwrapping algorithm based on error factors.This method can be implemented 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.
Keywords:InSAR  Kalman filter  phase unwrapping  error compensation  Kalman filter smooth
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