Journal of University of Chinese Academy of Sciences >
System parameter estimation for airborne interferometric synthetic aperture radar with three-baseline
Received date: 2014-12-05
Revised date: 2015-04-24
Online published: 2015-11-15
This work investigated the parameter estimation problem for airborne interferometric synthetic aperture radar with rigid three-baseline. The considered system parameters are baseline orientation angle and interferometric phase offsets. So the least number of ground control points can be reduced to two. The effect of phase noise on the estimation accuracy is analyzed and a novel method called three-baseline union parameter estimation is proposed. The proposed method employed Newton optimal algorithm to solve the nonlinear estimation equations and used weighting process to deal with elevation accuracy difference of each baseline. Elevation difference between any two baselines is used to evaluate the efficiency of parameter estimation method. Simulation results indicate that the proposed method can obtain higher estimation accuracy than the conventional single baseline parameter estimation method.
MA Meng , LI Daojing , PAN Zhouhao , DU Jianbo . System parameter estimation for airborne interferometric synthetic aperture radar with three-baseline[J]. Journal of University of Chinese Academy of Sciences, 2015 , 32(6) : 783 -789 . DOI: 10.7523/j.issn.2095-6134.2015.06.009
[1] Rosen P A, Hensley S, Joughin I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2000, 88:333-382.
[2] Mallorqui J J, Rosado I, Bara M. Interferometric calibration for DEM enhancing and system characterization in single pass SAR interferometry[C]//Geoscience and Remote Sensing Symposium, 2001. IGARSS'01. IEEE 2001 International. IEEE, 2001:404-406.
[3] 王彦平, 彭海良, 云日升. 机载干涉合成孔径雷达定标中的定标器布放[J]. 电子与信息学报, 2004, 26(1):89-94.
[4] 李品, 王东进, 陈卫东. 基于定标器高程差的InSAR参数定标[J]. 中国科学院研究生院学报, 2009, 26(1):91-96.
[5] Mao Y, Xiang M, Han Y, et al. Weighted joint calibration for interferometric SAR[J]. Systems Engineering and Electronics, Journal of Systems Engineering and Electronics, 2013, 24(5):761-771.
[6] Yun Y, Zeng Q, Jiao J, et al. Calibration of airborne interferometric SAR data by external dem without artificial calibrators[C]//Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. IEEE, 2012:4 501-4 504.
[7] 潘舟浩, 刘波, 张清娟, 等. 三基线毫米波InSAR的相位解缠及高程反演[J]. 红外与毫米波学报, 2013, 32(5):474-480.
[8] Espeter T, Nies H, Loffeld O. A new approach for kalman filter based phase unwrapping applied to multi-baseline InSAR[C]//EUSAR 2014 10th European Conference on Synthetic Aperture Radar. Proceedings of VDE, 2014:1-4.
[9] 张福博, 刘梅. 基于频域最小二乘APES的非均匀多基线SAR层析成像算法[J]. 电子与信息学报, 2012, 34(7):1 568-1 573.
[10] Schmitt M, Stilla U. Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR data[J]. Geoscience and Remote Sensing Letters, IEEE, 2013, 10(2):313-317.
[11] 潘舟浩. 机载毫米波三基线InSAR数据处理技术研究[D]. 北京:中国科学院电子学研究所, 2014.
[12] 保铮,邢孟道, 王彤. 雷达成像技术[M]. 北京:电子工业出版社, 2005:278-290.
[13] 邢保玉, 杨福芹, 郭增长. 基于牛顿迭代法的干涉SAR基线估计[J]. 测绘工程, 2007, 16(6):9-11.
[14] 马振华, 刘坤林, 陆璇, 等. 现代应用数学手册计算与数值分析卷[M]. 北京:清华大学出版社, 2005:486-494.
[15] 张贤达. 矩阵分析与应用[M]. 北京:清华大学出报社, 2004:341-344.
[16] 王超, 张红, 刘智. 星载合成孔径雷达干涉测量[M]. 北京:科学出版社, 2002:57-59.
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