期刊文献+

合成孔径声呐相关合成算法中的伪目标问题 被引量:3

On alias target problem in coherent addition algorithm of synthetic aperture sonar
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摘要 本文将用于合成孔径声纳成像的相关合成算法推广到合成孔径技术的伪目标抑制当中,放宽了不出现伪目标的采样条件,从而提高了声纳运动速度,改善了图像的质量,提高了声纳的成像率。如果声纳采样间距已定,则相应的声阵物理长度可以缩短,从而使得方位分辨率有所提高。计算机仿真结果验证了所提思路的有效性。 It is shown in this paper that the sampling rate is relaxed in the coherent addition algorithm for synthetic aperture sonar without alias targets. Thus the sonar can move faster, the image quality is improved, and the mapping rate is increased. If the sampling interval is fixed, the length of the physical aperture can be reduced, and the azimuth resolution is improved.
出处 《声学技术》 CSCD 2003年第1期33-36,43,共5页 Technical Acoustics
关键词 声呐 合成孔径 伪目标 相关合成算法 采样率 sonar synthetic aperture alias targets coherent addition algorithm sampling rate
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参考文献7

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同被引文献28

  • 1周天,李海森,朱志德,袁延艺.多波束测深系统多子阵检测法的改进及其性能分析[J].声学技术,2005,24(3):152-156. 被引量:8
  • 2张春华,刘纪元.第二讲 合成孔径声纳成像及其研究进展[J].物理,2006,35(5):408-413. 被引量:28
  • 3马建林,金菁,刘勤,来向华.多波束与侧扫声纳海底目标探测的比较分析[J].海洋测绘,2006,26(3):10-12. 被引量:23
  • 4么彬.多子阵空间建模水声成像技术研究[D].[博士论文],哈尔滨:哈尔滨工程大学水声工程学院.2009.
  • 5Hayes M P and Gough P T. Synthetic aperture sonar: a review of current status [J]. IEEE Journal of Oceanic Engineering, 2009, 34(3): 207-224.
  • 6Courmontagne P, Telandro T, and Asada A. An improvement on SAS image formation [C]. OCEANS '09 IEEE Bremen: Balancing Technology with Future Needs, Bremen, Germany, 2009: 1-8.
  • 7Jiang X K, Sun C, and Feng J for synthetic aperture sonar A novel image reconstruction with single transmitter and multiple-receiver configuration[C]. Proceedings of the IEEE Oceans 2004 Conference Proceedings, Kobe, Japan, 2004: 1940-1944.
  • 8Callow H J. Signal processing for synthetic aperture sonarimage enhancement [D]. [Ph.D. dissertation], New Zealand: University of Canterbury, Christchurch, 2003.
  • 9刘兴华.干涉合成孔径声呐系统设计和成像算法研究[D].[博士论文],北京:中国科学院声学研究所,2008:19-22.
  • 10Sawa T, Aoki T, and Yoshida H, et al.. Modified synthetic aperture algorithm for sonar systems [J]. International Journal of Adaptive Control and Signal Processing, 2010, 24(2): 142-148.

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