期刊文献+

迭代法MIMO声纳目标检测——一种凸显弱目标的方法 被引量:4

An iterative way of MIMO sonar target detection:a method that protrudes the weak target
下载PDF
导出
摘要 通常MIMO声纳接收机收到的信号会直接送入匹配滤波器组,然后测量信号到达时间。当遇到强弱两个目标散射信号混叠的情况时,弱目标的输出峰值可能被淹没在强目标的旁瓣内而无法分辨。为提高MIMO声纳对弱目标的分辨能力,本文提出一种迭代信号分析方法,可以由强到弱依次对目标进行估计。通过数值仿真分析了本方法的性能。结果表明:采用迭代分析方法可以有效提高系统对弱目标的分辨能力。 Generally speaking, signals received by MIMO sonar receivers will be sent to match filter banks to estimate the time of arrivals (TOAs). Sometimes there may be weak target in the neighborhood of a strong one and the signals scattered are overlapped. Then the peak of output generated by the weak target may be submerged by sidelobes of the strong target and cannot be identified. To improve MIMO sonar's resolution, this paper introduces an iterative way of MIMO sonar target detection method, which can estimate targets from strong to weak sequentially. Performance of this method is analyzed using numerical simulation. Results show that MIMO sonar resolution of weak targets can be efficiently improved by using iterative target detection method.
出处 《应用声学》 CSCD 北大核心 2010年第1期11-16,共6页 Journal of Applied Acoustics
基金 中国科学院知识创新工程青年人才领域前沿项目 国家自然科学基金(10904160)
关键词 MIMO 声纳 迭代法 匹配滤波 MIMO, Sonar, lterative method, Match filter
  • 相关文献

参考文献9

  • 1Bekkerman, J. Tabrikian. Spatially coded signal model for active arrays. Proc. ICASSP'2004, Montreal, Quebec, Canada,March 2004; II: 209-212.
  • 2D. W. Bliss, K. W. Forsythe. Multiple-input multiple-output (MIMO) radar and imaging: Degrees of freedom and resolution. Proe. 37th Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, Nov. 2003; I: 54-59.
  • 3K. W. Forsythe, D. W. Bliss, G. S. Fawcett. Multiple-input multiple-output (MIMO) radar: Performance issues. Proc. 38th Asilomar Conf. Signals, Systems and Computers, Pacific Grove, CA, Nov. 2004; I: 310-315.
  • 4J. Li, P. Stoica. MIMO radar--diversity means superiority. Proc. 14th Annual Workshop on Adaptive Sensor Array Processing (invited), MIT Lincoln Laboratory, Lexington, MA, June 2006.
  • 5J. Li, P. Stoica, L. Xu, et al. On parameter identifiability of MIMO radar. IEEE Signal Processing Letters, 2007, 14(12): 968-971.
  • 6L. Xu, J. Li, E Stoica. Adaptive techniques for MIMO radar. Proc. 4th IEEE Workshop on Sensor Array and Multi-channel Processing, Waltham, MA, July 2006.
  • 7李宇.MIMO探测声纳研究.声学技术,2007,:47-48.
  • 8Yu Li, Haining Huang, Shuqiu Li, et al. LPI performance analysis of MIMO sonar detection. UDT2008.
  • 9Chun Yang Chen. MIMO Radar Ambiguity Optimization Using Frequency-Hopping Waveforms. Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on 4-7 Nov. 2007: 192-196.

共引文献2

同被引文献37

引证文献4

二级引证文献32

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部