A Reliability-Based Method to Sensor Data Fusion

Sensors

Miaoyan Zhuang¹  Chunhe Xie¹  Wen Jiang¹ 

[1] School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China;

关键词: sensor data fusion;    Dempster–Shafer evidence theory;    Gaussian distribution;    reliability-based BBA;   

DOI  :  10.3390/s17071575

来源: DOAJ

【 摘 要 】

Multi-sensor data fusion technology based on Dempster–Shafer evidence theory is widely applied in many fields. However, how to determine basic belief assignment (BBA) is still an open issue. The existing BBA methods pay more attention to the uncertainty of information, but do not simultaneously consider the reliability of information sources. Real-world information is not only uncertain, but also partially reliable. Thus, uncertainty and partial reliability are strongly associated with each other. To take into account this fact, a new method to represent BBAs along with their associated reliabilities is proposed in this paper, which is named reliability-based BBA. Several examples are carried out to show the validity of the proposed method.

【 授权许可】

Unknown