Local data fusion for single-base multi-sensor

Abstract

A fuzzy data synthesis algorithm is studied for single-base multi-sensor's local data fusion. It provides a capability to differentiate between inferior and fine data of the multi-sensor, and to associate the last available data. The results shows that using this method can improve the data accuracy with low tracking loss probability.