Multi-sensor Weighted Fusion Algorithm based on Fuzzy Supported Degree

摘要

Aiming at the effective fusion of multi-sensor measurement data unknown statistics, a novel method of multi-sensor data fusion based on fuzzy supported degree is presented. The support degree distance and support degree matrix which meet membership function characteristic of fuzzy set theory, were constructed to extract and use the redundancy and complementary information, so the weight value of measurement was reasonably measure. At the same time, the method avoids the design of relation threshold and reduces the influence of prior information, and avoids the absoluteness of correlated support degree among measurement too. Finally, the simulation verifies the validity of the method.