基于Bayes-MCMC的水声双程信道建模及自适应采样反演  

Parameter Adaptive Sampling Inversion of Underwater Acoustic Go-back Channel Model Based on Bayes-MCMC

作　　者：赵罡 孙乃葳 申珅 杨益新[1] ZHAO Gang;SUN Nai-wei;SHEN Shen;YANG Yi-xin(School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an 710072,China;The 705 Research Institute,China State Shipbuilding Corporation Limited,Xi’an 710077,China)

机构地区：[1]西北工业大学航海学院,陕西西安710072 [2]中国船舶集团有限公司第705研究所,陕西西安710077

出　　处：《水下无人系统学报》2022年第6期774-786,共13页Journal of Unmanned Undersea Systems

摘　　要：高置信度水声双程信道仿真建模是水下目标回波仿真研究的基础内容,对水下作战装备的研发具有重要作用。文中基于经典信道模型通过合理的假设建立了水声双程信道解析模型。在此基础上,以BayesMCMC反演算法为核心,分析水声双程信道参数反演问题特点,设计了Metropolis-Hastings自适应单维度串行采样算法,实现了基于回波信号的信道模型参数高效反演。经仿真及实测数据验证,所设计的自适应采样反演方法其结果具有较好的一致性和收敛性,在水下作战装备仿真测试方面具有良好的工程应用前景。High-confidence underwater acoustic go-back channel modeling is an essential part of the study of target echo simulation and plays an important role in the development of underwater operation equipment. Based on the classical channel model and reasonable assumptions, an analytical model of an underwater acoustic go-back channel is established. Using the Bayes-MCMC inversion algorithm as the core, the characteristics of the inversion problem of underwater acoustic channel parameters were analyzed, and the Metropolis-Hastings adaptive single-dimension serial sampling algorithm was designed to realize efficient channel model parameter inversion based on echo signals. The results of the simulation and measured data show that the proposed adaptive sampling inversion method has good consistency and convergence and has good engineering application prospects in underwater operation equipment simulation tests.

关 键 词：水下作战装备 水声双程信道 Bayes-MCMC 回波信号反演 

分 类 号：TJ630[兵器科学与技术—武器系统与运用工程]