摘要
在目标识别中,为了获得观测目标的准确状态,需要同时考虑数据融合的时间性和空间性。提出了一种多传感器信息的时间和空间两级融合的结构模型。首先对同一时刻不同传感器的信息进行空间融合,然后对经空间融合后的时间序列进行时间上的融合。就该模型提出了基于证据理论和模糊积分的融合算法。将该模型和算法应用于目标识别。仿真实验表明,该模型可以提高系统的识别率和可靠性。
In order to receive the habitus accurately and the reorganization and the decision information of the object fully, the spatial and temporal fusion must be taken into account. In this paper, a spatial-temporal two-layer architecture model is presented, in this architecture, the data that is monitored by different sensor at the same time is fused first in space, and then the data that is fused in space is fused in time order. Under this model, this paper gives an algorithm based on the theory of D-S evidence and fuzzy integral for sensor fusion, it indicates by simulation this algorithm can improve the efficiency of object identification and the reliability of system. The simulation of the algorithm in multisensor object identification is also presented.;
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2004年第1期36-39,共4页
Systems Engineering and Electronics
关键词
目标识别
证据理论
模糊积分
信息融合
object identification
evidence theory
fuzzy integral
information fusion
