基于偏移影响率的相控阵雷达事件调度方法

Task scheduling algorithm for phased array radar based on shifting impact rate

在相控阵雷达事件调度中,常以时间偏移率作为指标构造目标函数,但时间偏移率在非线性滤波系统中往往难以实现最优的调度性能。针对这一问题,首先,在分析时间偏移影响的基础上,提出了以偏移影响率做为评价指标,推导了卡尔曼滤波器(Kalman filter,KF)和扩展卡尔曼滤波器(extend Kalman filter,EKF)中偏移影响率的计算公式;然后,基于"偏移影响率"指标构造相控阵雷达事件调度中的目标函数,并利用改进的遗传算法进行求解,加快收敛速度;最后,采用仿真场景测试调度方法优劣。实验结果表明,在线性滤波系统中,偏移影响率与时间偏移率的调度效果相近;在非线性滤波系统中,偏移影响率的调度性能和跟踪精度明显优于时间偏移率。

In phased array radar task scheduling,the object function is often based on the time shifting rate （TSR）. However,the TSR cannot achieve the optimal scheduling performance in nonlinear filter systems.For this question,this paper， based on the analysis of the influence of time shifting,proposes the shifting improve rate,calculate the formula of shifting impact rate （SIR） in Kalman filter （KF） and extend Kalman filter （EKF）, and design the objective function of phased array radar task scheduling based on SIR index.Then the improved genetic algorithm is used to solve this problem in order to speed up the convergence rate.Simulation scenario is used to test the scheduling method.The experimental results show that in the linear filtering system,the SIR is similar to the TSR; but in the nonlinear filtering system,the scheduling performance and tracking accuracy of SIR is better than TSR.