模基水声信号处理技术的研究现状和展望

常规信号处理方法的前提条件相对简单,不能满足水声信号处理中海洋环境非平稳和极低信噪比等实际情况。基于模型的信号处理方法(模基处理技术)能够将物理模型引入到信号处理算法中,并且能够有效利用先验信息提高信号处理的性能,是一种有潜力的信号处理技术。结合多年的模基水声信号处理研究基础,首先介绍了模基处理的基本概念,然后介绍了模基处理器的基本框架和其主要优势,进而对模基技术在水声信号处理各个应用领域的研究现状做了全面的归纳和简要的评述,在此基础上,分析了该领域进一步的研究方向。

An overview of model-based processing in underwater acoustic signal processing

Conventional signal processing algorithms with relatively simple prerequisites can not meet the actual situation of non-stationary and low SNR etc. in the underwater acoustic signal processing problem. Model-based processing technology incorporates physical models into signal processing scheme and can effectively utilize any a priori informa- tion to improve the overall performance of the processor. With several years of research on model-based acoustic signal processing, this paper first introduces the basic concept of model-based processing, and then describes the brief framework of model-based processor and its main advantages. The current situation of model-based acoustic signal processing technology in various application areas are comprehensively summarized and briefly analyzed. Some aspects worthy of further research are mentioned in the end.