一种子空间投影的高分辨宽测绘带SAR成像通道均衡方法

张磊; 全英汇; 邢孟道; 保铮

doi:10.3724/SP.J.1146.2008.01821

一种子空间投影的高分辨宽测绘带SAR成像通道均衡方法

doi: 10.3724/SP.J.1146.2008.01821

计量
- 文章访问数: 3806
- HTML全文浏览量: 144
- PDF下载量: 1216
- 被引次数: 0
出版历程
- 收稿日期: 2008-12-29
- 修回日期: 2009-06-24
- 刊出日期: 2010-01-19

An SSP Based Channel Calibration for High-Resolution and Wide-Swath SAR Imagery

摘要

摘要: 结合数字波束形成技术，多通道SAR可以有效克服天线最小面积的限制，从而实现高分辨率宽测绘带的合成孔径成像。然而通道之间的幅相误差以及基线误差等因素严重影响数字波束形成解模糊操作。该文提出了一种针对高分辨宽测绘带(HRWS)的多通道SAR通道间误差校正方法。该方法考虑了通道误差的多普勒空变性，利用信号子空间和噪声空间的正交性实现对包括基线误差，阵元误差等综合通道间幅相误差的快速优化估计。实测数据验证了方法的有效性。
- 合成孔径雷达; 高分辨宽测绘带; 数字波束形成; 通道均衡; 子空间
Abstract: This paper focuses on the channel calibration for multi-channel Synthetic Aperture Radar (SAR) imagery. Incorporated with DBF processing, multi-channel SAR is promising in High-Resolution and Wide-Swath (HRWS) imaging. It coherently combines recorded multi-channel signals to overcome the spectrum ambiguity. However, the mismatch between channels and baseline errors should be compensated before the processing. In this paper, a novel calibration is proposed for multi-channel SAR HRWS imagery by making use of the orthogonality between signal subspace and noise subspace. The calibration is incorporated with the post-Doppler beam forming processing, which estimates the synthetic element error caused by nonideal factors. The real data experiment demonstrates the good performance of Doppler ambiguity suppression after our calibration. The results confirm the validity of the approach.

HTML全文

参考文献(1)

[1] Cantafio L J(Ed.). Space-Based Radar Handbook. Boston:Artech House. 1989. [2] Callaghan G D and Longstaff I D. Wide-swath space-borneSAR using a quad-element array[J].IEE Proc. Radar, Sonar,and Navig.1999, 146(3):159-165 [3] Krieger G, Gebert N, and Moreira A. Multidimensionalwaveform encoding: A new digital beamforming technique forsynthetic aperture radar remote sensing[J].IEEE Transactionson Geoscience Remote Sensing.2008, 46(1):31-46 [4] Younis. M and Wiesbeck W. Digital beamforming in SARsystems. IEEE Transactions on Geoscience Remote Sensing,2003, 41(7): 1735-1739. [5] Krieger G, Gebert N, and Moreira A. Ambiguous SAR signalreconstruction from non-uniform displaced phase centresampling[J].IEEE Transactions on Geoscience Remote SensingLetters.2004, 1(4):260-264 [6] Krieger G, Gebert N, and Moreira A. Multidimensionalwaveform encoding: A new digital beamforming technique forsynthetic aperture radar remote sensing[J].IEEE Transactionson Geoscience Remote Sensing.2008, 46(9):31-46 [7] Li Z, Wang H, and Bao Z. Generation of wide-swath andhigh-resolution SAR images from multichannel smallspaceborne SAR system. IEEE Transactions on GeoscienceRemote Sensing Letters, 2005, 2(1): 81-86. [8] Li Z, Wang H, Bao Z, and Liao G. Performance improvementfor constellation SAR using signal processing techniques[J].IEEE Transactions on Aeros. Eletro. System.2006, 42(2):436-452 [9] Soumekh M and Himed B. SAR-MTI processing ofMulti-Channel Airborne Radar Measurement (MCARM)data. Proceedings of the 2002 IEEE Radar Conference, LongBeach, CA, 2002: 24-28. [10] Zhang Z, Xing M, Ding J, and Bao Z. Focusing the parallelbistatic SAR data using the analytic transfer function inwavenumber domain[J].IEEE Transactions on GeoscienceRemote Sensing.2007, 45(11):3633-3645 [11] 王永良, 陈辉, 彭应宁, 万群. 空间谱估计理论与算法[M]. 清华大学出版社, 2005: 438-444. [12] Friedlander B. A subspace method for space time adaptiveprocessing[J].IEEE Transactions on Signal Processing.2005,53(1):74-82 [13] Kim J, Younis M, Becker D, and Wiesbeck W. Experimentalperformance analysis of digital beam forming on syntheticaperture radar. In 7th European Conference on SyntheticAperture Radar, CD-ROM, Friedrichshafen, Germany, Jun.2008: 75-78. [14] 王彤, 保铮. 提高沿航向干涉法性能的最小二乘图像对补偿方法. 自然科学进展, 2008, 30(11): 1484-1490.

施引文献

资源附件(0)

访问统计