摘要
提出了一种机载传感器多目标优化管理方法。该方法考虑目标状态估计精度,采用交互多模型滤波算法进行传感器量测信息滤波,进而实时计算传感器目标探测跟踪的信息矩阵。在此基础上,采用多目标优化算法以目标信息矩阵、传感器数量和目标被探测数量为指标进行传感器资源的优化配置,实现机载多传感器资源的有效配置和管理。进行了该传感器多目标优化管理算法的仿真研究。研究结果表明提出的传感器管理算法能够快速、有效地完成传感器资源的合理配置。
A method of airborne sensor resource management was proposed. The basic of technique was to control the accuracy of target state estimation, quality of airborne sensor and detected target. By this method, the interacting multiple models external kalman filtering was used to filter the target data from the airborne sensor. And the airborne sensor information matrix was calculated in real time by the filter data. To utilize the airborne sensor efficiently, the non-dominated sorting genetic algorithms was used to optimize resource, which fitting value was the information matrix and sensor resource. Section 1 describes the mathematical model of the information matrix. Section 2 presents the mathematical model of the interacting multiple models external kalman filtering. Section 3 explains the steps of the non-dominated sorting genetic algorithms in detail. The numerical simulation shows this sensor management method is feasible.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2012年第7期1392-1395,1400,共5页
Journal of System Simulation
关键词
传感器管理
信息矩阵
多目标优化算法
机载传感器
sensor resource management
information matrix
multi-object optimization algorithm
airborne sensor
