基于代价函数的传感器管理算法研究

针对多传感器目标跟踪的应用背景,研究了综合考虑系统性能与资源消耗的传感器管理问题.建立了基于代价函数的传感器分配优化模型,其中代价函数包括跟踪系统偏差代价和资源消耗代价两部分.采用协方差控制技术量化系统跟踪性能,将目标跟踪的实际协方差与其期望值之间的偏差作为系统性能偏差代价.传感器管理优化模型通过最小化当前时刻系统的总代价来分配传感器以维持目标跟踪.仿真结果表明,与传统的协方差控制传感器管理算法相比,该方法不仅能够获得理想的跟踪性能,而且能够更加有效地分配有限的传感器资源.

Sensor management algorithm based on cost function

The multi-sensor management is researched through taking system performance and sensor resource into account synthetically for target tracking applications.The optimal sensor allocation model based cost function is built,and the cost function includes the bias of tracking state and resource consumed.The covariance control technique is used to estimate the bias of tracking state,which equals the difference between the desired covariance matrix and the actual one.Sensor manager adaptively allocates sensor resource by reaching the minimum of the cost function.Compared with the traditional sensor management method,simulation results show the proposed algorithm not only can achieve the desired tracking performance,but also can allocate the limited sensor resource more effectively.