摘要
利用概率统计模型和信息增量最大化对运动目标检测进行传感器资源调度 .在求取信息增量时 ,将目标概率密度的变化分成目标转移和量测更新所引起的变化 ,并分别推出由均值和协方差的变化求解这两种情况下概率密度变化的方法 .
By utilizing probability statistic model and maximization of information gain, this paper presents a method of sensor resource distribution for dynamic target detection. Probability density evolution of target is divided into probability density evolution of target transition and measurement update when information gain being solved. The methods of solving probability density evolution are deduced by evolution of mean and covariance respectively.
出处
《河南大学学报(自然科学版)》
CAS
2002年第2期20-23,共4页
Journal of Henan University:Natural Science
基金
河南省自然科学基金 (0 1110 6 140 0 )
关键词
运动目标
统计模型
均值
协方差
传感器管理
dynamic target
statistic model
mean
covariance
sensor management