面向跟踪任务需求的主动传感器调度方法

以多传感器多目标跟踪为背景,针对跟踪任务需求中辐射风险控制问题,提出一种面向跟踪任务需求的主动传感器调度方法。该方法首先结合不敏卡尔曼滤波,给出了仅考虑跟踪任务需求的传感器调度策略;然后建立基于部分可观马尔可夫决策过程的辐射模型,并采用隐马尔可夫模型滤波器动态更新传感器辐射;最后考虑跟踪任务需求和传感器约束,将辐射风险控制下传感器调度问题转化为非线性约束下寻优问题。仿真实验结果验证了所提方法有效性。

Scheduling algorithm of active sensors for tracking task requirement

To solve the control problem of radiation risk in the multi-sensor multi-target tracking, a scheduling algorithm of active sensors for tracking task requirement is proposed. Firstly, combined with unscented Kalman filter (UKF), the sensor scheduling policy which only considers the tracking task requirement is given. Then the radiation model based on partially observable Markov decision process (POMDP) is formulated, and the hidden Markov model (HMM) filter is used to dynamic update sensor radiation. Finally, considering the sensor constraint, the sensor scheduling problem of radiation risk control is transformed to a nonlinear optimization problem. Simulation results prove the effectiveness of the proposed algorithm.