发展新型声呐系统的几个科学问题

面向不确定性作战环境,分析声呐系统的信息不完备性,提出目标机动的概率建模与连续探测的概率优化、以及探测决策的快速循环;分析声呐系统环境的复杂性与环境计算模型的多样性,提出模型的自组织、模型计算的动态重构、以及计算结果在无尺度作战环境中的表达;分析基于数据学习的样本量不足,提出持续学习的系统目标与数据工程体系下的开放式系统设计问题;分析声呐系统作战运用中人的因素以及策略博弈。综合以上分析,给出新型声呐系统的广泛特征内涵定义。

Several scientific problems in developing new sonar systems

Subjectto uncertain engagement circumstance, the information incompleteness of sonar is examined, and the probabilistic modeling of target maneuvering, the statistic optimization of sonar contact, and a fast cycle of detectiondecision are proposed. Discussion about the changes of oceanic environment, the dynamic reconstruction of acoustic calculation and diversity expression of calculated results,a proposal about the scale-free sonar system design and the self-organization of models is made. Due to data increment on sonar learning, the sustainable model training which run at an open system architecture associated with data engineering is argued. The human factors in sonar which is man-machine system are analyzed, so as to make consideration of the subjectivity in sonar training and combat game.Comprehensively, the generalized connotations of a new sonar system are defined.