针对多个特征指标的多传感器数据融合问题，将Fisher理论和多数投票法相结合进行数据融合来增加识别率。该方法首先通过Fisher理论得到多个判别函数，然后通过多数投票法继续对得到的判别进行分类得到最后的识别决策。该方法适合多个特征目标识别，计算简单。易于实现-Indicators for multiple features multi-sensor data fusion problem, Fisher majority vote of the Combination of theory and data fusion to increase the recognition rate. This method first by Fisher theory of multiple discriminant function, and then by a majority vote method continues to be the discriminant classification to be the final identification of decision-making. This method is suitable for various characteristics of target identification, easy to compute. Is easy to implement