Research on Approach of Data Association Based on Fuzzy Logic for Nomadic Tracking Application

In multi-sensor and multi-target nomadic tracking systems, for making decision, signals with noise as input must be sent to fusion center to be filtered, associated, combined and made final decision as output. In the chain, association is very important processing. In this paper, an efficient fuzzy logic data association approach for nomadic tracking systems is studied. The proposed approach is developed based on the fuzzy clustering means algorithm, which differs from many other fuzzy logic data association algorithms. Results in our nomadic application are reported. The efficiency of the new approach has been tested by the fuzzy system evaluation.