【摘要】 提出了一种多源不确定数据的融合模型,该模型从信息的合理性、传感器的可靠性及信息的相似度上分析和处理不确定信息,并根据信息的一致性和传感器可靠性,实现传感器信息的筛选,有效地处理冲突信息和错误信息。以多传感器目标识别为例,进行建模仿真。结果表明,该融合模型在环境动态变化,传感器可靠性降低的情况下,保证了融合结果的准确性。更多还原

【Abstract】 This paper presented a multi-source uncertain data fusion model.This model analyzed and processed uncertain information from the aspects of rationality of information,reliability of sensors and comparability of information.The sensor information was filtrated by consistency of information and dependability of sensors,which dealt with conflicting information and false information.The model taking an example of multi-sensor target recognition was build and simulated.The results showed that this fusion model ensures correctness of fusion output when environment is changefully and reliability of sensors decreases.更多还原