基于最差性能最优的水下目标定位方法研究

Underwater source localization in shallow water based on worst-case optimization

浅海多途环境下的水下目标定位问题一直以来是研究热点,但大多数现有方法受不精确的海洋环境及信道参数信息的影响,稳健性能严重退化,限制其在实际工程中的进一步应用。针对以上问题,基于射线理论模型,结合最差性能最优自适应波束形成处理器,提出一种稳健的水下目标定位方法,利用最差性能最优(Worst-Case Optimization)和二阶锥规划的概念,有效地克服算法对水下环境参数(海水深度、海底反射系数等)的依赖性,提高算法的稳健性,并通过计算机仿真验证该方法的正确性和有效性。

Due to the multipath effect, the source localization in shallow water has been an area of active interest. However, most methods for source localization in shallow water are sensitive to the assumed model of the underwater environment and have poor robustness against the underwater channel uncertainty, which limit their further application to practical engineering. In this paper, a new method of source localization in shallow water, based on worst-case optimization concept, is proposed, which is highly robust against environmental factors affecting the localization, such as the channel depth, the bottom reflection coefficients, and so on. Through constructing the uncertainty set of the source vector errors and only extracting a direct sound and a reflected sound from the sea surface, the proposed method can accurately localize one or more sources in shallow water dominated by multipath propagation. Computer simulations show better performance of the proposed method as compared with existing algorithms and establish a theoretical foundation for the practical engineering application.