Multi-sensor Information Fusion Method Based on the Neural Network Algorithm

In order to improve the detection character of target parameter with multi-sensor, we proposed a multi-sensor information fusion approach based on neural network algorithm with orthogonal basis functions and recursive least square algorithm. The detection data of the multi-sensor is processed using neural network approach based on recursive least square algorithm, and the average of the neural network outputs is used to implement multi-sensor information fusion. To validate the validity of the algorithm, the simulating example of the multi-sensor information fusion was given. The result shows that the information fusion approach of multi-sensor using orthogonal basis neural network based on the recursive least square algorithm is effective.