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...