无味卡尔曼滤波的多基线InSAR高程重建方法A multi-baseline InSAR elevation reconstruction method based on unscented Kalman filter
宋明辉,谢先明,徐有邈,梁峰,曾庆宁
摘要(Abstract):
针对传统的多基线InSAR高程重建方法抗噪声性能不强的问题,该文提出一种基于无味卡尔曼滤波(UKF)的多基线InSAR高程重建方法。该算法首先构造稳健的UKF高程重建系统模型,并利用具有较强噪声抑制能力的修正矩阵束模型算法提取UKF高程重建系统模型所需的干涉相位梯度估计值;其次,通过构建反映地形突变信息的残差信息矩阵,把最大似然高程估计信息融入到UKF高程观测模型中;最后,基于UKF的多基线高程重建算法采用逐行(或逐列)扫描方式进行递推估计,直至完成所有行或列的递推估计,有效提高了高程重建的精度。实验结果验证了该文方法的有效性。
关键词(KeyWords): 干涉合成孔径雷达;最大似然估计;无味卡尔曼滤波;高程重建
基金项目(Foundation): 国家自然科学基金项目(41661092);; 广西自然科学基金项目(2018GXNSFAA281196,2016GXNSFDA380018);; 桂林电子科技大学教育部重点实验室基金项目(CRK170108);; 广西无线宽带通信与信号处理重点实验室基金项目(GXKL06180102);; 2020年桂林电子科技大学研究生科研创新项目(2020YCXS020)
作者(Author): 宋明辉,谢先明,徐有邈,梁峰,曾庆宁
DOI: 10.16251/j.cnki.1009-2307.2021.12.016
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