现代及未来感知系统可从不同维度获取、利用和塑造环境态势信息,具有重要的军事和民用价值,其系统架构设计、信号信息处理与资源管控等关键技术得到了国内外研究人员的持续关注。近年来,多功能集成、分布式协同等技术的发展,在提升感知系统信息获取能力、环境适应能力的同时,也带来了更为复杂严峻的系统资源管控压力。资源管控贯穿于系统从部署到运行的全流程,包含诸多不同环节。其中,站点配置作为核心基础环节,影响范围广、调整难度大,得到了大量关注,相关研究成果不断涌现。感知系统站点配置从数学角度可视为优化问题建模及求解过程,根据应用场景中复杂因素及任务需求的不同,文中针对规则、动态、偏好、通信受限场景以及单任务、多任务场景,分别梳理总结指标设计、模型构造以及寻优算法等站点配置研究面临的典型技术挑战及对应研究成果,在此基础上展望了该领域未来技术发展方向。

Modern and future perception systems can acquire, utilize, and shape environmental situational information from different dimensions, and have important military and civilian value. Key technologies such as system architecture design, signal information processing, and resource management have received continuous attention from domestic and foreign researchers. In recent years, the development of technologies such as multi-functional integration and distributed collaboration has not only improved the perception system's ability to obtain information and adapt to the environment, but also brought more complex and severe pressure on system resource management. Resource management runs through the entire process of system deployment and operation, including many different links. Among them, node deployment, as the core basic link, has a wide range of influence and is difficult to adjust, which has received a lot of attention, and related research results are constantly emerging. From a mathematical perspective, perception system node deployment can be seen as the modeling and solving process of optimization problems. Based on the different complex factors and task requirements in application scenarios, this paper summarizes the typical technical challenges and corresponding research achievements faced by node deployment research in regular, dynamic, preference, communication constrained scenarios, as well as single task and multi task scenarios, including indicator design, model construction, and optimization algorithms, On this basis, the future technological development direction in this field is envisioned.

TN953+ . 7

国家自然科学基金资助面上项目(61971109)