数据融合技术在集员辨识中的应用

Applications of Data Fusion to Set Membership Identification

集员估计算法是一种新型的、有效的系统估计方法,在控制领域越来越受到重视.通过多传感器数据融合的方法,可以减少单一传感器辨识目标的不确定性和模糊性,可以进一步提高辨识结果的准确性和精度.文中提出了一种新型的基于数据融合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.得出一个更优的集员估计集.

Set membership estimation algorithm is a new and effective system estimation method, which is becoming increasingly important in the control area.Multisensor 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 Member- ship Identification is taken in this paper to decrease different errors from detecting, which helps improve the speed and accuracy of identification.