期刊文献+

单个压差式矢量水听器MVDR波束形成的优化研究 被引量:9

Optimization for MVDR beamforming based on single pressure gradient vector hydrophone
下载PDF
导出
摘要 从矢量水听器和声压阵两个角度,研究了单个二维压差式矢量水听器的最小方差无失真响应(minimum variance distortionless response,MVDR)波束形成的优化技术。针对压差式矢量水听器半径波长比大于0.1时,利用它进行方位估计性能恶化的问题,提出了一种修正的单个压差式矢量水听器MVDR波束形成处理方法。仿真和湖上试验的结果表明:修正的压差式矢量水听器MVDR处理方法对阵元间距的变化具有更好的稳健性;在半径波长比小于0.1时具有更好的估计性能,在半径波长比大于0.1的一定范围内依然具有良好的方位估计能力。 The optimization technique of the minimum variance distortionless response (MVDR) beamform ing based on single two-dimension pressure gradient vector hydrophone is studied from the aspects of vector hy drophone and pressure sensors array. When the radius to wavelength ratio is more than 0.1, the direction of ar rival (DO.A) estimation performance of the pressure gradient hydrophone becomes worse. For improving this, a modified MVDR beamforming approach based on single pressure gradient vector hydrophone (MVMVDR) is proposed. The simulation and lake trial results indicate the MVMVDR approach has better robustness to the variation of the radius; it has better DOA estimation performance than original approaches when the radius to wave length ratio is equal or lesser than 0.1, and it is still valid when the radius to wavelength ratio is more than 0.1.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2014年第3期434-439,共6页 Systems Engineering and Electronics
基金 国家自然科学基金(61001153) 国家自然科学基金河南联合人才培养项目(U1204611) 山东省高等学校科技计划项目(j09lg08)资助课题
关键词 信息处理技术 压差式矢量水听器 波束形成 最小方差无失真响应 information processing technique pressure gradient vector hydrophone beamforming minimum variance distortionless response (MVDR)
  • 相关文献

参考文献4

二级参考文献44

共引文献32

同被引文献59

  • 1张燕,马永杰,袁秋林.Visual C#与Matlab混合编程方法及其实现[J].西北师范大学学报(自然科学版),2008,44(6):35-37. 被引量:13
  • 2田坦,齐娜,孙大军.矢量水听器阵波束域MVDR方法研究[J].哈尔滨工程大学学报,2004,25(3):295-298. 被引量:15
  • 3竺士蒙,宋明凯,宫先仪.一种改善MVDR波束形成性能的方法[J].声学学报,1993,18(1):54-60. 被引量:5
  • 4杨秀庭,孙贵青,陈新华,李启虎.矢量水听器阵列MVDR波束形成器的性能研究[J].应用声学,2007,26(1):8-15. 被引量:9
  • 5Nan Z, Nehorai A. Circular acoustic vector-sensor array for mode beamforming[ J]. IEEE Transactions on Signal Processing,2009, 57(8) :3041 -3052.
  • 6Han K Y, Nehorai A. Nested vector-sensor array processing via tensor modeling [ J ]. IEEE Transactions on Signal Processing, 2014,62(10):2542 -2553.
  • 7Yuan X. Coherent source direction-finding using a sparsely-dis- tributed acoustic vector sensor array [ J]. IEEE Transactions on Aerospace and Electronic Systems ,2012,48 ( 3 ) :2710 - 2715.
  • 8Huang L, Teng L, Mao E K, et al. MMSE-based MDL method forrobust estimation of number of tion [ J ]. IEEE Transactions 57(10) :4135 -4142. sources without eigendecomposi- on Signal Processing, 2009,.
  • 9OSMAN A, NOURELDIN A. Direction of arrival estimation using virtual array search[J].IET Radar, Sonar and Navigation, 2011, 5(4): 389-397.
  • 10HAN D, YIN J S, KANG C Y, et al. Optimal matrix filter design with controlled meansquare sidelobe level[J].IET Signal Processing, 2011, 5(3): 306-312.

引证文献9

二级引证文献29

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