由多潜器多平台感知水下移动目标的各类动态多源信息，通过高效的信息融合和多潜器平台间的有机协作，可以实现对移动目标的全天候全方位协同监测。在水声信道窄带宽、长时延、强多径；水下环境复杂、多变；潜器自身高自由度、强非线性等诸多特性限制下，以充分挖掘多源信息提高协同监测能力为目标，围绕“探测通信一体化机理”、“动态多源信息融合机理”和“多潜器自适应协同控制理论”三个科学问题，在信号层面，通过设计探测通信一体化信号，提高带宽能量利用率，避免干扰；在信息层面，基于动态多源信息，通过数据关联，对移动目标动态建模，实现多目标的协同跟踪；在控制层面，进行动态任务分配，多潜器协作航迹规划以及追踪控制。以期实现对移动目标中远程的有效探测和中近程的连续追踪，为基于动态多源信息的水下移动目标协同监测提供科学理论基础和关键技术。

The dynamic multi-source information of underwater moving targets, perceived by multi-underwater unmanned vehicles (UUVs) and multi-platforms, can collaboratively realize all-time and all-dimensional surveillance for underwater moving targets by means of effective information fusion and vehicles-platforms collaboration. The underwater acoustic channel is characterized as narrow-bandwidth, long time-delay, and strongly multipath. Meanwhile, the underwater environment is complex and dynamic, as well as UUV is of high degrees of freedom and strongly nonlinear. Constrained by aforementioned features, with the goal of enhancing the collaborative surveillance ability by extremely exploiting the multi-source information, the following three scientific problems are to be solved: the integration mechanism of detection and communication, the fusion mechanism of dynamic multi-source information, and the control theory of multi-UUV adaptive coordination. At signal-level, bandwidth and energy efficiency is improved to avoid interference by designing detection-communication integrated signal. At information-level, based on dynamic multi-source information, multiple targets are cooperatively tracked using target dynamic models and MCMC data association. At control level, dynamic task allocation is accomplished. UUVs cooperatively plan routes and control to track the moving underwater targets. Thus, intermediate-range effective detection and short-range continuous tracking of moving target are achieved, which supplies scientific theoretical foundation and key technologies for dynamic multi-info-based surveillance for underwater moving targets.