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不确实海洋中最小方差匹配场波束形成对环境参量失配的灵敏性分析 被引量:17

Sensitivity of minimum variance matched-field beamforming to an environmental parameter mismatch in an uncertain ocean channel
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摘要 浅海环境背景下由于空-时采样不充分、介质的空时变化性,海洋环境参量通常是不确知的,由此驱动数值传播模型得到的拷贝声场也是不确实的,从而导致基于拷贝声场和测量声场作拷贝相关处理的最小方差匹配场波束形成性能下降.针对上述问题,利用NRL Workshop′93提供的典型浅海不确实海洋环境,以不确实情况下定位偏置、不确实时与确知时模糊度表面主瓣峰值比、主瓣背景比3个量为性能度量,量化分析了宽带最小方差匹配场波束形成的性能对水体声速、海深等8个环境参量不确实性的灵敏性.经对环境参量失配的全面量化分析,结果表明:海深、水体声速是最敏感参量,沉积层声速次之,其他参量的灵敏性最弱. Minimum variance matched-field beamforming(MV-MFBF) is the correlation of a measured acoustic field and a predicted acoustic field which is generated through a propagation model derived by environmental parameters.The environmental parameters in shallow water are usually uncertain,due to insufficient spatial and temporal samples of the parameters and the spatiotemporal variability of the medium,resulting in an uncertain predicted acoustic field and in the decreased performance of minimum variance matched-field beamforming.Based on the typical shallow water environmental benchmark set by the NRL Workshop′93,the performance sensitivity of broad-band MV-MFBF to 8 oceanic environmental parameters(water sound speed,waveguide depth,etc.) was discussed.The performance was measured quantitatively by three parameters: the location bias,the ambiguity surface peak of an uncertain case to a peak of a certain case ratio,and the peak to background ratio of the ambiguity surface.The results show that water sound speed and waveguide depth are the most sensitive parameters.Sediment sound speed is less sensitive,and other parameters such as sediment density are the least sensitive.
出处 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2011年第2期200-208,共9页 Journal of Harbin Engineering University
基金 国家安全重大基础基金资助项目(613660203 613110020102) 国家自然科学基金资助项目(60702022)
关键词 最小方差 匹配场处理 不确实海洋 灵敏性 minimum variance matched field processing uncertain ocean sensitivity
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参考文献14

  • 1DELBALZO C F, ROWE M. Effects of water-depth mis- match on matched-field localization in shallow water [J].JASA, 1988, 83(5). 2180-2185.
  • 2SHANG E C, WANG Y Y. Environmental mismatching effects on source localization processing in mode space[J].JASA, 1991, 89(5): 2285-2290.
  • 3TOLSTOY A. Sensitivity of matched field processing to sound speed profile mismatch for vertical arrays in a deepwater Pacific environment [J]. JASA, 1989, 85 (6) :2394-2404.
  • 4FEUILLADE C, DELBALZO D R, ROWE M. Environmen- tal mismatch in shallow-water matched-field processing:geoacoustic parameter variability [J]. JASA, 1989, 85(6): 2354-2364.
  • 5GINGRAS D F. Methods for predicting the sensitivity of matched-field processors to mismatch[J]. JASA, 1989, 86(5): 1940-1949.
  • 6HAMSON R M,HEITMEYER R M. Environmental and sys- tem effects on source localization in shallow water by thematched-field processing of a vertical array [J] . JASA,1989, 86(5): 1950-1959.
  • 7KROLIK J L. Matched-field minimum variance beamforming ina random ocean channel[J]. JASA, 1992, 92(3):1408-1419.
  • 8PORTER M B, TOLSTOY A. The matched-field processing benchmark problem [J]. J Comput Acoust, 1994, 2 (3) :161-185.
  • 9李建龙,潘翔.不确实海洋环境下的贝叶斯匹配场处理[J].声学学报,2008,33(3):205-211. 被引量:13
  • 10杨坤德,马远良,张忠兵,邹士新.不确定环境下的稳健自适应匹配场处理研究[J].声学学报,2006,31(3):255-262. 被引量:21

二级参考文献35

  • 1杨坤德,马远良,张忠兵,邹士新.不确定环境下的稳健自适应匹配场处理研究[J].声学学报,2006,31(3):255-262. 被引量:21
  • 2杨坤德,马远良.基于扇区特征向量约束的稳健自适应匹配场处理器[J].声学学报,2006,31(5):399-409. 被引量:17
  • 3杨坤德,马远良,邹士新,雷波.基于环境扰动的线性匹配场处理方法[J].声学学报,2006,31(6):496-505. 被引量:29
  • 4Richardson A M, Nolte L W. A posteriori probability source localization in an uncertain sound speed, deep ocean environment. J. Acoust. Soc. Am., 1991; 80(5): 2280- 2284.
  • 5Richardson A M and Nolte L W. A posteriori probability source localization with array tilt uncertainty. J. Acoust. Soc. Am., 1992; 92(3): 1578-1582.
  • 6Preisig J C. A minimax approach to adaptive matched field processing in an uncertain propagation environment. IEEE Trans. Signal Processing, 1994; 42(6): 1305-1316.
  • 7Preisig J C. Robust maximum energy adaptive matched field processing. IEEE Trans. Signal Processing, 1994; 42(7): 1585-1593.
  • 8Hursky.P, Hodgkiss W S, Kuperman W A. Matched field processing with data-derived modes. J. Acoust. Soc. Am., 2001; 109(4): 1355-1366.
  • 9Neilsen T B, Westwood E K. Extraction of acoustic normal mode depth functions uslng vertlcal line array data. J. Acoust. Soc. Am., 2002; 111(2): 748-756.
  • 10Sha L, Nolte L W. Effects of environmental uncertainties on sonar detection performance prediction. J. Acoust.Soc.Am,2005,117(4): 1942-1953.

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