| 基于多传感器数据融合技术在集员辨识方面的应用 |
| |
| 引用本文： | 梁礼明,万孟森,闻娟,李钟侠.基于多传感器数据融合技术在集员辨识方面的应用[J].机电工程技术,2010,39(1):60-62. |
| |
| 作者姓名： | 梁礼明 万孟森 闻娟 李钟侠 |
| |
| 作者单位： | 江西理工大学机电工程学院,江西赣州,341000 |
| |
| 摘 要： | 通过多传感器数据融合的方法，可以减少辨识目标的不确定性和模糊性，如果能对数据融合中所采集的信息作出评估，可以进一步提高辨识结果的准确性和精度。所以利用提出的集员估计算法可以用来减少各种检测误差带来的影响，提高辨识的速度和精度。
|
| 关 键 词： | 数据融合 不确定性 集员辨识 |
Applications of Data Fusion Based on Set Membership Identification in the Intelligent Measurement System |
| |
| LIANG Li-ming,WAN Meng-sen,WEN Juan,LI Zhong-xia.Applications of Data Fusion Based on Set Membership Identification in the Intelligent Measurement System[J].Mechanical & Electrical Engineering Technology,2010,39(1):60-62. |
| |
| Authors: | LIANG Li-ming WAN Meng-sen WEN Juan LI Zhong-xia |
| |
| Affiliation: | Faculty of Mechanical and Electronic Engineering/a>;Jiangxi University of Science and Technology/a>;Ganzhou 341000/a>;China |
| |
| Abstract: | Multi-sensor data fusion is introduced to obtain higher accuracy of target recognition.The accuracy will be improved further if quality of information sources is examined at first.Set Membership Identification is used in this paper to decrease different error because of detecting.Improve to speed and Accuracy of identification. |
| |
| Keywords: | data fusion uncertainly set membership identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
