摘要
随着低空飞行器数量的快速增长,低空监视领域对多传感器协同探测的需求日益迫切。为解决低空复杂环境中雷达与光电系统的协同探测问题,文章提出一种基于多源信息融合与任务动态分配的优化策略。通过分析雷达的全天候探测能力与光电系统的高精度成像特性,构建分层协同架构,引入自适应权重分配算法优化目标跟踪精度。仿真结果表明,所提策略能够有效提升低空目标的探测概率与识别效率,同时降低虚警率,为异构传感器协同探测提供理论支持。
With the rapid increase in the number of low-altitude aircraft,the demand for multi-sensor collaborative detection in the low-altitude surveillance domain is becoming increasingly urgent.To address the issue of coordinated detection between radar and electro-optical systems in complex low-altitude environments,an optimized strategy based on multi-source information fusion and dynamic task allocation is proposed.By analyzing the all-weather detection capabilities of radar and the high-precision imaging characteristics of electro-optical systems,a hierarchical collaborative architecture is constructed,and an adaptive weight allocation algorithm is introduced to optimize target tracking accuracy.Simulation results show that the proposed strategy can effectively improve the detection probability and recognition efficiency of low-altitude targets while reducing false alarm rates,providing theoretical support for heterogeneous sensor collaborative detection.
作者
黄煜捷
HUANG Yujie(China Flight Test Institute,Xi’an 710089,China)
关键词
低空监视
雷达光电协同
多源信息融合
动态任务分配
low altitude surveillance
radar and photoelectric coordination
multi-source information fusion
dynamic task allocation
