摘要
FMM人工神经网络在模式识别和分类中具有独特的优势,D-S证据理论在多传感器决策融合上具有优势。提出了一种FMM神经网络与D-S证据理论相结合的多传感器数据融合目标识别方法,给出计算机仿真结果,表明该方法可以克服单一传感器ATR系统的局限性,提高对目标的识别率和系统的容错性。
A multi - sensor target recognition method based on FMM artificial neural network and D - S evidence reasoning is presented. Firstly, the structure of the recognition system is introduced. Then related arithmetics are analysed. Finally, simulation result is attained, which shows the advantage of multi-sensor fusion recognition relative to single sensor in enhancing the recognition ratio.
出处
《探测与控制学报》
CSCD
北大核心
2006年第1期40-43,共4页
Journal of Detection & Control
关键词
目标识别
FMM
神经网络
D-S证据理论
多传感器数据融合
target recognition
FMM artificial neural network
D -S evidence reasoning
multi -sensor data fusion
