A New Fusion Tracking Algorithm Based on Extended Adalines Model

An approach of multi-sensor fusion tracking with extended Adalines model and fuzzy stochastic decision is proposed in this paper. The criterion of multi-sensor fuzzy stochastic decision is presented. An optimal algorithm for weight adjustment is designed combining genetic algorithm with fuzzy reasoning. This optimal algorithm has two important features: adaptation and learning; the effectiveness of the proposed method is illustrated through computer simulation under the circumstances of multi-sensor in target tracking.Copyright © 2003 by ASME