Data Fusion Algorithm Based on Support Degree under Interferential Environment
Zhou Ya · Fire Control and Command Control · 2014
Data fusion technology based on consensus is focused on avoiding the dependence of priori knowledge and telling apart the inaccurate measurement caused by interference. Here several classical method of measuring support degree are compared and two new ways to measure support degree are raised. Additionally a new weighted fusion algorithm is developed referring to the average of consensus degree and reliability of sensors. Simulation results shows that the new raised ways to measure support degree and fusion algorithm is effective.