期刊文献+

地声参数及传播损失不确定性估计与建模 被引量:5

Estimation and modeling of geoacoustic parameters and transmission loss uncertainty
下载PDF
导出
摘要 地声参数的不确定性对水声传播具有重要的影响。通过贝叶斯理论建立水声环境不确定性推理模型,理论推导了地声参数的似然函数以及地声参数和传播损失的后验概率密度,并采用MCMC(Markov Chain Monte Carlo)进行了仿真计算,给出了地声参数的二维后验联合概率密度和一维边缘概率密度,在此基础上对传播损失的不确定性进行了估计,得到了传播损失80%的可信区间。仿真和实验结果表明,该方法适用于地声参数反演和不确定性估计,并能获取因地声参数不确定性导致的传播损失不确定性估计。 Uncertainty of geoacoustic parameters has a great effect on acoustic propagation, tn tins paper, rne uncertainty inference model of the acoustic environment is established via Bayes theorem. Then the likelihood function of the geoacoustic parameters and the posterior probability distribution of the geoacoustic parameters and transmission loss are deduced. Furthermore, a simulation is made using Markov Chain Monte Carlo (MCMC). Two-dimensional and one-dimensional posterior probability densities of the geoacoustic parameters are given. Meanwhile, the uncertainty of transmission loss is estimated. The mean and 80% credibility interval of transmission loss in different depths are given. The results of the simulation and experiments show that the method is good at geoacoustic parameters inversion and uncertainty estimation, and it can get the uncertainty estimation of the transmission loss that is caused by uncertainty of the geoacoustic parameters.
机构地区 海军潜艇学院
出处 《应用声学》 CSCD 北大核心 2015年第1期71-78,共8页 Journal of Applied Acoustics
基金 中国博士后科学基金项目(20110491884) 总装预研基金项目(9140A03060213JB15039)
关键词 贝叶斯 后验概率密度 地声参数 马尔可夫链蒙特卡洛 Bayesian, Posterior probability density, Geoacoustic parameters, Markov Chain Monte Carlo
  • 相关文献

参考文献7

  • 1GERSTOFT P, HUANG C F, HODGKISS W S. Esti-mation of transmission loss in the presence of geoacousticinversion uncertainty [J]. IEEE Journal of Ocean Engineer-ing, 2006, 31(2): 299-307.
  • 2HUANG C F, GERSTOFT P, HODGKISS W S. Valida-tion of statistical estimation of transmission loss in thepresence of geoacoustic inversion uncertainty[J]. Jour-nal of Acoustical Society of America, 2006, 120(4):1932-1941.
  • 3朱嵩,毛根海,程伟平,黄跃飞,徐翘.基于贝叶斯推理的水环境系统参数识别[J].江苏大学学报(自然科学版),2007,28(3):237-240. 被引量:15
  • 4PENG R H, CHEN R R, FAHHANG-BOROUJENY B.Markov Chain Monte Carlo detectors for channels withintersymbol interference[J]. IEEE Transactions on SignalProcessing, 2010, 58(4): 2206*2217.
  • 5SPALL J C. Estimation via Markov Chain Monte Carlo[J].IEEE Control Systems Magazine, 2003, 23(2): 34—45.
  • 6JOSEPH L S, RECAI M Y. Computational strate-gies for multivariate linear mixed-effects models with miss-ing values [J]. Journal of Computational and GraphicalStatistics, 2002, 11(2): 437-457.
  • 7过武宏,笪良龙,赵建昕.动态水声环境不确定性的估计与分析[J].应用声学,2013,32(6):464-472. 被引量:13

二级参考文献20

  • 1王薇,曾光明,何理.用模拟退火算法估计水质模型参数[J].水利学报,2004,35(6):61-67. 被引量:20
  • 2乔方利,马建,夏长水,杨永增,袁业立.波浪和潮流混合对黄海、东海夏季温度垂直结构的影响研究[J].自然科学进展,2004,14(12):1434-1441. 被引量:22
  • 3薛齐文,杨海天,胡国俊.共轭梯度法求解多宗量瞬态热传导反问题[J].计算物理,2005,22(1):56-60. 被引量:12
  • 4Emmanuel K N,Rudolf S.Solving the parameter identification problem of mathematical models using genetic algorithms[J].Applied Mathematics and Computation,2004,153:651-658.
  • 5Thomas L,John S J H.Bayesian Methods:An Analysis for Statistician and Interdisciplinary Researchers[M].北京:机械工业出版社,2005:189.
  • 6Gelman A,Carlin J B,Stern H S,et al.Bayesian Data Analysis[M].London:Chapmen and Hall,1995.
  • 7Gelfand A E,Smith A F M.Sampling-based approaches to calculating marginal densities[J].Journal of the American Statistical Association,1990,85:398-409.
  • 8Metropolis N,Rosenbluth A W,Rosenbluth M N,et al.Equations of state calculations by fast computing machine[J].Journal of Chemistry and Physics,1953,21:1087-1091.
  • 9ROBERT M. Capturing Uncertainty in the Common Tactical Environmental Picture[C]. Uncertainty DRi-Program Review, 2003: 6-9.
  • 10LERMUSIAUX P F J, CHID C S. Four-dimensional data assimilation for coupled physical-acoustical fields[C]. Proceedings of the "Acoustic Variability, 2002" conference in Lerici, Italy, 2002: 417-424.

共引文献26

同被引文献59

  • 1林建恒,高天赋.Model of wind-generated ambient noise in stratified shallow water[J].Chinese Journal of Oceanology and Limnology,2005,23(2):144-151. 被引量:3
  • 2郭永刚,王宁,高大治.由垂直入射脉冲和海底回波反演海底声参数[J].中国海洋大学学报(自然科学版),2006,36(1):112-118. 被引量:2
  • 3葛人峰,郭景松,于非,张志欣,刁新源,郭炳火.黄、东海陆架海域温度垂直结构类型划分与温跃层分析[J].海洋科学进展,2006,24(4):424-435. 被引量:35
  • 4周艳莲,孙晓敏,朱治林,温学发,田静,张仁华.几种典型地表粗糙度计算方法的比较研究[J].地理研究,2007,26(5):887-896. 被引量:40
  • 5Harry D F. Predicting Sonar Performance Using Observa-tions of Mesoscale Eddies [J]. Journal of the AcousticalSociety of America, 2006, 120(2): 3060-3069.
  • 6David R B, Michael J B. Depth Dependence of Wind-driven, Broadband Ambient Noise in the Philippine Sea[J].Journal of the Acoustical Society of America, 2013,133(1): 62-71.
  • 7Bernard C,James D,William L, et al. Coherent BottomReverberation: Modeling and Comparisons with At-seaMeasurements[J]. Journal of the Acoustical Society ofAmerica, 2004,116(4): 1985-1994.
  • 8Mellerg L E, Robinson A R, Botseas G. Modeled Time Va-riability of Acoustic Propagation Through a Gulf StreamMender and Eddies[J]. Journal of the Acoustical Societyof America, 1990, 87(3): 1044-1054.
  • 9Alexey A S, James F L,Lin Y T. Three-dimensional Cou-pled Mode Analysis of Internal-wave Acoustic Ducts [J].Journal of the Acoustical Society of America, 2014,135(5):2497-2512.
  • 10Martin S, Michaell B P, Paul H, et al. Effects of OceanThermocline Variability on Nonecoherent Underwater Ac-oustic Communications[J]. Journal of the Acoustical So-ciety of America, 2007, 12(4): 1895-1908.

引证文献5

二级引证文献6

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