多任务场景中,传感器系统资源会随任务数量增加逐渐消耗。当资源余量耗尽时,系统进入资源需求饱和状态。以资源需求饱和下的多辐射源跟踪为例,根据不同辐射源的跟踪性能偏好,建立了一个电子侦察时-频扫描方案优化数学模型,提出了一种基于周期拓展的优化算法和一种基于叠层饼图的性能评估方法。仿真表明,与传统方法相比,文中算法资源利用率更高,所提评估方法能够更为全面、合理地评估性能。

Sensor system resources are consumed as task number increases in multi-task scenario. The system resource requirement is found to be saturated when available resources are used up. Focusing on the multiple emitters tracking scenario with saturated resource requirement, an ESM time-frequency sweeping scheme optimization model is formulated according to the tracking performance preference of different emitters. An optimization algorithm based on period extend and a performance evaluation method with overlapped pie chart is proposed. Simulation results demonstrate that the proposed algorithm achieves better resource efficiency and more reasonable performance assessment.

TN957.51

国家自然科学基金资助项目(61971109;U20B2070)