摘要
针对组网跟踪系统传感器分配算法计算量过大的问题,提出了一种基于Riccati方程的动态传感器分配算法。该算法通过Riccati方程离线计算各传感器组合跟踪下的稳态滤波协方差,根据稳态滤波协方差与期望协方差的接近程度动态分配传感器资源。仿真结果显示,与传统协方差控制和贪婪算法相比,基于Riccati方程的动态传感器分配算法在大大减少计算量的同时能够保持较好的跟踪性能。该方法能够更好地应用于大规模传感器组网目标协同跟踪系统。
A dynamic multi-sensor allocation algorithm based on the Riccati equation is proposedto deal with the computational burden of the sensor allocation problem in the multi-sensor trackingsystem. The algorithm calculates the stable covariance with the Riccati equation outline anddynamically allocates the optimal sensor sets based on the difference between the expected covarianceand the stable covariance. Simulation results show that the algorithm can obtain the better trackingaccuracy and computation efficiency comparing with the traditional covariance control algorithm and thegreedy algorithm. The algorithm can be applied to the multi-sensor collaborative tracking in large-scalesensor networks.
出处
《火力与指挥控制》
CSCD
北大核心
2016年第5期47-51,共5页
Fire Control & Command Control
基金
国家自然科学基金(61004119
61375011)
国家"973"计划基金资助项目(2012CB821204)