Evidence theory and data fusion application for wind speed measurement

Abstract

In this work, a wind speed measurement model based on Evidence Theory and Data Fusion of the time-of-flight (ToF) information is presented. The fusion is obtained through threshold detection (TH) and phase difference (PD) techniques For this purpose, the evidence theory using fuzzy set theory and interval analysis has been successfully used to represent (from random-fuzzy variables - RFV) and assessment the uncertainty ToF measurement. A data fusion method is presented based on the concept of relations of compatibility and OWA operators with partial aggregation to the variables being fused. Simulation results are presented to several measured values using the TH and PD techniques.