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一种搜索鲁棒的中国余数定理的多基线相位解缠绕技术

A searched-form robust Chinese remainder theorem based multibaseline phase unwrapping algorithm
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摘要 多基线相位解缠绕的性能深受噪声水平制约,比如基于经典中国余数定理的相位解缠方法,由于其糟糕的抗噪声性能,限制了其在实际中的广泛运用。基于搜索鲁棒的余数定理,通过引入公因子,构建新的同余方程组,提出了一种搜索鲁棒的中国余数定理的相位解缠方法。仿真实验验证了该方法的有效性,并表明选择合理的公因子可以有效提高算法的抗噪声性能。 The performance of the multibaseline phase unwrapping is directly related to noise level.For instance,the presence of phase noise makes the phase unwrapping method based on the classical Chinese remainder theorem unrobust enough and inapplicable in practical cases.So a method based on a SR-CRT(searched-form robust Chinese remainder theorem)was presented,and the common factor was carried out to build the new system of simultaneous congruence in the method.Theoretical analysis and experimental results prove the effectiveness of the SR-CRT method and demonstrate that selecting reasonable common factor can improve the noise robustness of the SR-CRT method.
作者 蒋志彪 王建 宋千 周智敏 JIANG Zhibiao;WANG Jian;SONG Qian;ZHOU Zhimin(College of Electronic Science,National University of Defense Technology,Changsha 410073,China)
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2019年第1期72-79,共8页 Journal of National University of Defense Technology
基金 国家自然科学基金资助项目(61372163)
关键词 多基线相位解缠绕 经典中国余数定理 搜索鲁棒的中国余数定理 干涉合成孔径雷达 multibaseline phase unwrapping classical Chinese remainder theorem searched-form robust Chinese remainder theorem interferometric synthetic aperture radar
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  • 1Xu Wei, Chang E C, Kwoh L K, et al. Phase Unwrapping of SAR Interferogram with Multi-Frequency or Multi-Baseline [ C]// Proc of International Geoscience And Remote Sensing Symposium. Pasadena: Institute of Electrical and Electronics Engineers in Piscataway, 1994: 730-732.
  • 2Eineder M, Adam N. Avoiding Phase Unwrapping in DEM Generation by Fusing Multi Frequency Ascending and Descending Interferograms [ C]//Proc of International Geoscience And Remote Sensing Symposium. Anchorage: IEEE, 2004: 477-480.
  • 3Lanari R, Fornaro G. Generation of Digital Elevation Models by Using SIR-C/X-SAR Muhifrequency Two-Pass Interferometry: The Etna Case Study [J]. IEEE Trans on Geoseience And Remote Sensing, 1996, 34(5): 1097-1114.
  • 4Pascazio V, Schirinzi G. Estimation of Terrain Elevation by Muhifrequency Interferometric Wide Band SAR Data [ J]. IEEE Signal Processing Letters, 2001(8): 7-9.
  • 5Fornaro G, Pauciullo A. Phase Difference-Based Muhichannel Phase Unwrapping [ J]. IEEE Trans on Image Processing, 2005, 14(7) : 960-972.
  • 6Eineder M, Krieger G. Interferometric Digital Elevation Model Reconstruction-Experiences from Srtm and Multi-Channel Approaches for Future Missions [ C]//Proc of IEEE International Geoscience And Remote Sensing Symposium. Seoul: IEEE, 2005: 2264-2267.
  • 7De Z F, Fornaro G, Monti G A. Coherent Techniques for Multi Channel SAR Interferometry [ C]//Proc of IEEE International Geoscience And Remote Sensing Symposium. Seoul: IEEE, 2005: 1191-1194.
  • 8陈宁红.多波段SAR图像数据融合技术研究[J].长沙:国防科学技术大学,2003.
  • 9索志勇,李真芳,吴建新,保铮.联合像素多基线InSAR降维处理方法[J].西安电子科技大学学报,2009,36(3):385-389. 被引量:10
  • 10张娟,张林让,刘楠.MIMO雷达最大似然波达方向估计方法[J].系统工程与电子技术,2009,31(6):1292-1294. 被引量:15

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