摘要
基于预先设定的测量方差对协方差估计所产生的不良影响,提出了一种基于测量方差时变的传感器管理算法。首先,该算法根据时变的测量方差计算目标的估计协方差;其次,利用所得的估计协方差求出目标的信息增量;最后,根据信息增量最大化的原则对传感器资源进行分配。所提算法既充分利用了传感器每次测量带来的信息,又进一步优化了测量方差。仿真实验表明:该算法不仅能提高状态的估计精度,同时,也使系统性能得到改善。
Aiming at the shortcoming of the estimating covariance which is obtained by given measurement variance, a new algorithm of sensor management based on time-varying measurement variance is presented. Firstly, the target estimating covariance is achieved by time-varying measurement variance. Secondly, utilizing estimating covariance, the information gain of target is obtained. Finally, sensor resources are distributed by the maximum of information gain. The method can not only make full use of sensor measurement message every time, but also optimize measurement variance. The simulation results show that this algorithm can enhance estimating precision of state, meanwhile improve the capability of system.
出处
《传感器与微系统》
CSCD
北大核心
2007年第3期68-72,共5页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60272024)
河南省高校杰出科研人才创新工程计划资助项目(2003KYX003)
关键词
测量方差
估计协方差
传感器管理
信息增量
measurement variance
estimating eovariance
sensor management
information gain
