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基于稳健波束形成的InSAR干涉相位估计方法

毛志杰 廖桂生

毛志杰, 廖桂生. 基于稳健波束形成的InSAR干涉相位估计方法[J]. 电子与信息学报, 2009, 31(7): 1690-1695. doi: 10.3724/SP.J.1146.2008.00278
引用本文: 毛志杰, 廖桂生. 基于稳健波束形成的InSAR干涉相位估计方法[J]. 电子与信息学报, 2009, 31(7): 1690-1695. doi: 10.3724/SP.J.1146.2008.00278
Mao Zhi-jie, Liao Gui-sheng. InSAR Interferometric Phase Estimation Based on Robust Beamforming[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1690-1695. doi: 10.3724/SP.J.1146.2008.00278
Citation: Mao Zhi-jie, Liao Gui-sheng. InSAR Interferometric Phase Estimation Based on Robust Beamforming[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1690-1695. 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
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

InSAR Interferometric Phase Estimation Based on Robust Beamforming

  • 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。
  • 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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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

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