Welcome to Acta Armamentarii ! Today is

Acta Armamentarii ›› 2017, Vol. 38 ›› Issue (7): 1385-1394.doi: 10.3969/j.issn.1000-1093.2017.07.017

• Paper • Previous Articles     Next Articles

Geoacoustic Parameters Inversion of Bayes Matched-field: A Multi-annealing Gibbs Sampling Algorithm

GAO Fei1, PAN Chang-ming1, SUN Lei1,2   

  1. (1.Naval Institute of Hydrographic Surveying and Charting, Tianjin 300061, China;2.College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang, China) 收稿日期: 2016-10-28 基金项目: 国家自然科学基金项目(41406004) 作者简介: 高飞(1988—),男,助理工程师。E-mail:gfei88_lgdx@163.com;潘长明(1962—),男,高级工程师。E-mail: pcming62@163.com
  • Received:2016-10-28 Revised:2016-10-28 Online:2018-04-12

Abstract: A multi-annealing Gibbs (multi-AG) sampling algorithm is developed to obtain a fast, accurate inversion result of ocean geoacoustic parameters. The proposed algorithm can deal well with huge computation load and high side lobe in multi-dimensional inversion of Bayes matched-field, and also eliminate the effects from the sampling bounds. The sensitivity of geoacoustic parameters to the matched-field processor is analyzed, which contributes to establish the multi-step inversion and annealing scheme. The Gibbs sampling algorithm is used to invert the highest sensitive parameters, which mean value is necessary to the following inversion steps. The inversion of remain parameters can be operated with annealing Gibbs sampling algorithm step by step. The inversion effects of Metropolis-Hastings, Gibbs, FGS, and multi-AG algorithms are compared through numerical experiment, and the research shows that multi-AG sampling algorithm can be used to obtain the inversion results with the smallest mean square deviation and the highest precision, while costing the least algorithm computation. Key

Key words: acoustics, multi-AGsamplingalgorithm, geoacousticparametersinversion, Gibbssampling, Bayesmatched-field

CLC Number: