摘要
针对目标跟踪中雷达组网场景下多传感器管理问题,结合Rényi信息增量和协方差两种算法各自特性,利用并行处理的思想提出了一种基于Rényi信息增量和协方差联合控制的传感器管理算法。在具体仿真设计环节,分为传感器跟踪能力大于目标数和传感器跟踪能力小于目标数两种场景。仿真结果表明该算法在单目标匀速、多目标匀加速等多数场景下能够对目标进行有效跟踪,同时降低了传感器的切换频率,具有更好的实时性。
Based on target tracking radar networking scenario muhisensor management issues, combining Renyi information increment and covariance characteristics of each algorithm, a sensor management algorithm based on joint Renyi information gain and covariance control using the idea of parallel processing is proposed. In specific aspects of the simulation design, sensor tracking ability is greater than the number of targets and sensors tracking ability and less than the target number of scenes. The simulation results show that the proposed algorithm can effectively track the target in most scenes, such as uniform speed, multi target uniform acceleration and so on. At the same time, the switching frequency of the sensor is better.
出处
《火力与指挥控制》
CSCD
北大核心
2017年第5期42-46,51,共6页
Fire Control & Command Control
基金
国家自然科学基金资助项目(61174024)
关键词
多传感器管理
Rényi信息增量
协方差控制
并行处理
muhisensor management, Renyi information increments, covariance control, parallel processing
作者简介
祝武（1991-），男，安徽亳州人，硕士研究生。研究方向：信息融合，传感器管理。
