A Group Member Matching Algorithm Synthesized Position and Attribute Information
Atr Key · JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY · 2009
It is difficult to get effective group member matching by their position or attribute measurement separately when the sensors’ position measurement noise level is high and their identification performance is relatively poor or the members’ types are not exclusive. So a matching algorithm for group members’ measurement is given which synthesizes their position and attribute information. The matching belief functions related to the position and attribute measurement respectively are constructed which are further combined with a newly defined combination rule. Besides, a new matching decision idea is proposed which is based on the truncation of the measurement sequence. Simulation experiments validate the effectiveness of the proposed algorithm.