基于卡尔曼滤波的InSAR柔性基线距离测量

Distance measurement of nonrigid baseline for InSAR based on Kalman filter

对于柔性长基线构型的双天线InSAR系统,基线矢量动态偏移产生的误差会降低系统的成像质量,并最终影响高程精度。针对单相机和激光测距仪组合测量系统中如何提高基线距离向精度的问题,提出了一种基于卡尔曼滤波的基线距离测量方法。建立了基线距离向抖动数学模型,在此模型基础上提出了基于卡尔曼滤波的动态测量方法,对该方法进行了动态仿真分析。仿真结果表明,在几十米的测量距离内,该方法能够将基线距离向的测量精度降低到亚毫米量级,是测量基线距离的有效方法。

The precise measurement of Nonrigid Baseline is significant for InSAR system,the quality of image and DEM obtained from InSAR system is badly impacted by the measurement precision.Based on a setup consisting of single camera and Laser Range Finder（LRF）,a novel method based on Kalman Filter is proposed.In this method,we firstly give the mathematics model of the proposed method and then design a Kalman Filter.In order to acquire a precise measurement,CCD and LRF results are both used.Simulation results indicate that the precision of line-of-sight component can be improved to sub-millimeter level.The validity of the proposed method is also proved.