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基于RD域分块的改进距离徙动成像算法

  • 徐海胜 ,
  • 宋红军 ,
  • 华斌 ,
  • 袁志辉
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  • 1. 中国科学院电子学研究所,北京 100190;
    2. 中国科学院研究生院,北京 100049

收稿日期: 2010-07-13

  修回日期: 2010-10-15

  网络出版日期: 2011-07-15

Modified RMA based on range sub-blocks in range-Doppler domain

  • XU Hai-Sheng ,
  • SONG Hong-Jun ,
  • HUA Bin ,
  • YUAN Zhi-Hui
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  • 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China

Received date: 2010-07-13

  Revised date: 2010-10-15

  Online published: 2011-07-15

摘要

研究了二维频域成像算法,提出一种基于RD域分块的改进距离徙动成像算法,并将该算法与近似算法和一般逆变标算法进行了点阵目标仿真和运算效率比较.当测绘带较宽且距离徙动较大时,该算法聚焦性能优于近似算法和一般逆变标算法.通过比较还可看出该算法运算效率高于逆变标算法.最后用实测数据仿真验证了该算法是可行的.

本文引用格式

徐海胜 , 宋红军 , 华斌 , 袁志辉 . 基于RD域分块的改进距离徙动成像算法[J]. 中国科学院大学学报, 2011 , 28(4) : 498 -504 . DOI: 10.7523/j.issn.2095-6134.2011.4.011

Abstract

On the basis of our study on SAR imaging algorithm in 2D frequency domain, we propose a modified range migration algorithm (RMA) using range sub-blocks in range-Doppler domain (RDB-RMA), and make a comparison between our proposed algorithm and other two algorithms, approximate RMA and scaled inverse Fourier transformation algorithm (SIFTA). The simulation data show that RDB-RMA is better in focusing capabilitity than the other two algorithms, when the swath is very wide and the range migration is very large. By comparing these algorithms, we conclude that RDB-RMA is better in computing efficiency than SIFTA. Finally, an experiment carried out on measured data confirms feasibility of the proposed algorithm.

参考文献


[1] Cumming I G, Wong F H. Digital processing of synthetic aperture radar data algorithms and implementation
[M]. Norwood,MA: Artech House, 2005: 323-362.

[2] Stolt R H. Migration by fourier transform
[J]. Geophysics, 1978,43(1): 23-48.

[3] Carrara W G, Goodman R S, Majewski R M. Spotlight synthetic aperture radar: signal processing algorithms
[M]. Norwood,MA: Artech House, 1995: 340-360.

[4] Loffeld O, Hein A, Schneider F. SAR focusing: scaled inverse Fourier transformation and chirp scaling //1998 IEEE International Geoscience and Remote Sensing Symposium Proceedings( IGARSS'98). Seattle, WA,1998, 2: 630-632.

[5] Yu W, Loffeld, Knedlik S. Spotlight-mode SAR data focusing using a modified wavenumber domain algorithm //IEEE International Geoscience and Remote Sensing Symposium(IGARSS 2007). Barcelona,2007: 567-570.

[6] Subiza B, Gimeno-Nieves E, Lopez-Sanchez J M, et al. An approach to SAR imaging by means of non-uniform FFT's //2003 IEEE International Geoscience and Remote Sensing Symposium(IGARSS '03).2003, 6: 4089-4091.

[7] Subiza B, Gimeno-Nieves, Lopez-Sanchez J M, et al. Non-uniform FFT's (NUFFT) algorithms applied to SAR imaging //Proceedings of SPIE. Bellingham, WA, 2004, 5236: 72-79.

[8] Yong W, Hongjun S, Xiuqin X, et al. Improved RMA based on nonuniform fast fourier transforms(NUFFT's) //9th International Conference on Signal Processing(ICSP 2008). Beijing, 2008: 2489-2492.

[9] Cumming I G, Neo Y L, Wong F H. Interpretations of the omega-K algorithm and comparisons with other algorithms //2003 IEEE International Geoscience and Remote Sensing Symposium(IGARSS ’03). 2003, 3: 1455-1458.

[10] Wang R, Loffeld O, Neo Y L, et al. Focusing bistatic SAR data in airborne/stationary configuration
[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(1): 452-465.

[11] Loffeld O, Nies H, Peters V, et al. Models and useful relations for bistatic SAR processing
[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(10): 2031-2038.

[12] Mittermayer J, Moreira A, Loffeld O. Spotlight SAR data processing using the frequency scaling algorithm
[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5): 2198-2214.

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