Cleaning Method of RFID Data Stream Based on Kalman Filter
RFID technology is now widely used in many fields,such as supply chain,pharmacy monitoring.Whereas the unreliable data restricts the RFID technology from being farther developed.For effectively and efficiently supporting high-level RFID business logic processing,it is necessary to provide high-quality RFID data.For that case,it is critical to clean the original data.This paper proposed a cleaning method KAL-RFID based on Kalman Filter,to solve false negative and false positive reading from individual readers,and the transition time respond delay problem of mobile tags.In the end,as experiments shows that the KAL-RFID method improves the efficiency of data cleaning and produces more accurate data.