Supported by the National Natural Science Foundation of China under Grant Nos 11434012,10974218,and 11174312;the State Key Laboratory of Acoustics of Chinese Academy of Sciences under Grant No SKLA201407;the Key Laboratory of Marine Surveying and Charting in Universities of Shandong of Shandong University of Science and Technology under Grant No 2013A02;the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents under Grant No2014RCJJ004;the Project of the Public Science and Technology Research of Ocean under Grant No 201305034;the National Key Technology R&D Program under Grant No 2012BAB16B01
A Bayesian source tracking approach is developed to track a moving acoustic source in an uncertain ocean environment. This approach treats the environmental parameters (e.g., water depth, sediment and bottom paramet...
supported by the National Natural Science Foundation of China(11434012,41561144006,10974218,11174312);the Key Laboratory of Marine Surveying and Charting in Universities of Shandong(Shandong University of Science and Technology)(2013A02);the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents under Grant(2014RCJJ004);the Project of the Public Science and Technology Research Funds Projects of Ocean(201305034);the National Key Technology R&D Program(2012BAB16B01);State Key Laboratory of Acoustics,Chinese Academy of Sciences(SKLA201407)
In order to improve the ability to localize a source in an uncertain acoustic environment,a Bayesian approach,referred to here as Bayesian localization is used by including the environment in the parameter search spac...
this study was supported by the National Basic Research Program of China(2010CB428406);National Key Technology R&D Program of China(Grant No.2006BAB04A09);the National Science Foundation of P.R.China(Grant No.50939001 and 51079004)