基于稳健波束形成的InSAR干涉相位估计方法

毛志杰; 廖桂生

doi:10.3724/SP.J.1146.2008.00278

基于稳健波束形成的InSAR干涉相位估计方法

doi: 10.3724/SP.J.1146.2008.00278

毛志杰^{①②;廖桂生},
廖桂生

基金项目:

国家自然科学基金(60736009)和国家杰出青年科学基金(60825104)资助课题

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出版历程
- 收稿日期: 2008-03-17
- 修回日期: 2009-03-09
- 刊出日期: 2009-07-19

InSAR Interferometric Phase Estimation Based on Robust Beamforming

Mao Zhi-jie^{①②;廖桂生},
Liao Gui-sheng

摘要

摘要: 该文在联合像素估计干涉相位的基础上，充分利用相邻像素的相干信息，通过校正阵列导向矢量，使得导向矢量与该地面分辨单元的协方差矩阵相对应，通过稳健波束形成实现对地形干涉相位估计。实验结果证明了该方法有效性的同时，能够在SAR图像配准误差较大(可以允许达到一个分辨单元)的情况下，得到稳健的干涉相位估计结果。
- InSAR;干涉相位估计;稳健波束形成;数字高程图;联合像素
Abstract: A method of interferometric phase estimation based on the robust beamforming is proposed. The method can provide the accurate interferometric phase estimation, by correcting the spatial steering vector and by taking advantage of the coherence information of the neighboring pixels. Theoretical analysis and experimental results show that the method can present the accurate estimation of the interferometric phase even if the coregistration error be close to one pixel. The effectiveness and robustness of the technique is verified by the simulated and real data.

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Rosen P A, Hensley S, and Joughin I R, et al.. Syntheticaperture radar interferometry[J].Proceeding of IEEE.2000,88(3):333-382[2]Bamler R and Hartl P. Synthetic aperture radarinterferometry[J]. Inversion Problem, 1998, 14(4): 1-54.[3]Costantini M. A novel phase unwrapping method based onnetwork programming[J].IEEE Transctions. on Geoscienceand Remote Sensing.1998, 36(3):813-821[4]Xu Wei and Cumming I. A region-growing algorithm forInSAR phase unwrapping[J].IEEE Transctions. onGeoscience and Remote Sensing.1999, 37(1):124-134[5]Li Zheng-fang and Bao Zheng, et al.. Image autocoregistrationand InSAR interferogram estimation usingjoint subspace projection[J].IEEE Transctions. onGeoscience and Remote Sensing.2006, 44(2):251-260[6]Li Zheng-fang, Bao Zheng, and Suo Zhiyong. A joint Imagecoregistration, phase noise suppression, and phaseunwrapping method based on subspace projection formultibaseline InSAR systems[J].IEEE Transctions. onGeoscience and Remote Sensing.2007, 45(3):584-591[7]毛志杰, 廖桂生. 基于联合像素模型的InSAR 干涉相位稳健性估计[J]. 系统工程与电子技术, 2008, 30(1): 6-9.Mao Zhi-jie and Liao Gui-sheng. A robustness of InSARinterferometric phase estimation based on joint pixel partsmodel[J]. System Engineering and Electronics, 2008, 30(1):6-9.[8]Vorobyov S and Gershman A B, et al.. Robust adaptivebeamforming using wrost-case performance optimization: Asolution to the signal mismatch problem[J].IEEETransctions. on Signal Processing.2003, 51(2):313-324[9]Zarifi K and Shahbazpanahi S, et al.. Robust blind multiuserdetection baesd on the worst-case performance optimizationof the MMSE receiver[J]. IEEE Transctions. on SignalProcessing, 2005, 53(1): 295-305.[10]Lorenz R and Boyd S P. Robust minimun variancebeamforming[J].IEEE Transctions. on Signal Processing.2005, 53(4):1684-1696[11]Li Jian and Stoica P. Robust adaptive beamforming[M].Hoboken, New Jersey: John Wiley Sons, Inc., America,2006: 126-196.[12]Li Hai, Li Zheng-fang, and Liao Guisheng, et al.. Anestimation method for InSAR interfermetric phase combinedwith image auto- coregistration[J].Science in China: Series FInformation Sciences.2006, 49(3):386-396[13]Mao Zhi-jie and Liao Gui-sheng. Optimum data vectorapproach to multibaseline SAR interferometry phaseunwrapping[J].IEEE Geoscience and Remote Sensing Letters.2009, 6(1):42-46

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