一种FMCW InSAR系统时变基线估计方法  

Time-varying Baseline Estimation Method for FMCW InSAR

作　　者：付希凯[1,2,3] 向茂生[1,2] 汪丙南[1,2] 蒋帅[1,2,3] 杨玉[1,2,3] 

机构地区：[1]中国科学院电子学研究所,北京100190 [2]微波成像技术重点实验室,北京100190 [3]中国科学院大学,北京100049

出　　处：《电子与信息学报》2017年第5期1024-1029,共6页Journal of Electronics & Information Technology

摘　　要：FMCW InSAR系统由于载机平台高度低,气流扰动严重,位置和姿态变化大,且微机电系统惯性测量单元(MEMS IMU)测量精度低,导致系统出现较大的时变基线,严重影响数字高程模型(DEM)精度。针对这一问题,该文提出了一种FMCW InSAR系统的时变基线估计方法。首先利用双通道单视复图像数据,估计出各个距离门内的时变基线导数,然后建立时变基线的距离向空变模型,利用随机抽样一致性检验的方法对模型进行求解,解得水平和垂直向的时变基线导数值,对其积分得到时变基线值。最后通过FMCW InSAR实际数据对时变基线进行估计,并与高精度位置和姿态测量系统(POS)记录的数据进行对比,验证了所提方法的有效性。For airborne dual-antenna FMCW InSAR systems, the time-varying baseline can be considerably high due to its low flight height, atmospheric turbulence, location and attitude errors and low accuracy of MEMS IMU, seriously affecting the DEM accuracy. To deal with this problem, a time-varying baseline estimation method for FMCW InSAR system is proposed. Firstly, the time-varying baseline derivative for each range gate using single look complex image data is established, and the space-variant model in range direction is established. Then the horizontal and vertical time-varying baseline derivative obtained using random sample consistent method is integrated. Finally, the proposed method is implemented on real experimental FMCW InSAR data, the effectiveness of proposed method is validated by comparing estimated results with high accuracy POS information.

关 键 词：FMCW INSAR 轻小型载机平台 时变基线 微机电系统 惯性测量单元 

分 类 号：TN957.51[电子电信—信号与信息处理]