摘要
利用估计理论和模糊集理论 ,在接收信息包含随机性和模糊性的前提下 ,建立了接收信息下的模糊观测集合 .首先推导出模糊最小方差估计公式 ,然后给出模糊信息下的卡尔曼滤波公式 .为避免计算误差导致滤波发散现象 ,给出实用的模糊信息下的平方根滤波公式 .以目标编队飞行和轨迹交叉两种机动情况 ,进行密集回波下的多目标跟踪仿真验证 ,获得满意的结果 .结果表明 。
Using the estimation theory and fuzzy set theory and building fuzzy observation set under received information, this paper presented a Kalman filtering algorithm based on fuzzy information, on the assumption of the received information including randomness and fuzziness. In order to avoid the filter divergence, the actual fuzzy square filter formula based on fuzzy information was established. The filter was used to track the two maneuvering states, form-flight as well as track-across. An illustrative example was given to show the satisfied performance. The conclusion demonstrates that the filters have good filtering and tracking property under complex environment.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2000年第12期1676-1679,共4页
Journal of Shanghai Jiaotong University
基金
上海市博士后科学基金
关键词
模糊信息
卡尔曼滤波
多目标跟踪
Algorithms
Computer simulation
Fuzzy sets
Kalman filtering
Tracking (position)
