概率数据关联滤波器中的采样周期控制

在监视系统中,应用多传感器数据融合理论来提高航迹跟踪性能是以增加计算量为代价的。传感器管理技术的使用可以平衡系统资源和跟踪性能。目前,传感器管理技术的研究主要集中在传感器对跟踪目标的分配上,而对传感器采样周期的控制研究很少。采用方差控制方法可对传感器的采样周期进行控制。在保证跟踪精度的情况下,通过改变传感器的采样周期来减少系统采样次数,以达到减少系统计算量的目的。

Sampling Period Control in PDAF

In many multisensor surveillance systems, the application of multisensor fusion has provided superior backing performance at the cost of the increased computational demand. The sensor management techniques are needed to balance tracking performance with system resources. To date, most sensor management techniques are focused on the sensor selection algorithms, hut how to control the sampling period in multisensor surveillance is seldom studied. In this paper, the covariance control algorithm is used to change the sensor' s sampling period, thus the computational demand will be reduced in the condition of minimizing the loss of tracking performance.