摘要
针对海战场态势中,由于系统误差、电磁干扰、地理环境隔绝、电子静默等原因,出现的传感器信号长时间中断、目标丢失,导致态势中航迹不连续的问题,提出了一种改进的模糊航迹关联算法。该算法通过采用统一速度模糊因素和方向模糊因素、改进加速度模糊因素、制定二级关联策略和自动调整隶属度函数关联阈值等方法,实现了在目标机动性较强、中断时间较长等情况下的航迹关联,保证了态势的稳定。通过Monte Carlo仿真实验表明,该算法具备较高的关联性和鲁棒性。
In afloat battlefield situation,because of system error,EMI, geographical enwronment, electronic silent,etc.,problems of sensor signal interrupt,target lost and track discontinuity appear. Aiming at these problems,this study presents an improved fuzzy track association algorithm. Using the method of uniting speed fuzzy factor,course fuzzy factor,improving acceleration fuzzy factor,twice association strategy and autoregulation association threshold value of membership function, the algorithm achieves track association of high maneuverable targets with long time interrupts,ensures the oneness and stability of situation. The Monte Carlo simulation results show that the algorithm is effective to solve the association problem under the condition of track interrupt and has a high robustness.
出处
《火力与指挥控制》
CSCD
北大核心
2013年第6期68-71,76,共5页
Fire Control & Command Control
关键词
态势
航迹中断
航迹关联
模糊关联算法
隶属度函数
situation, track interrupt, track association, fuzzy association, membership function