摘要
提出了一种数据融合中雷达型号的识别模型。将人工神经网络、模糊匹配和证据理论有效的结合起来 ;用神经网络进行粗分类 ,识别出雷达的体制 ;用模糊匹配识别出该体制下的雷达型号 ;并用证据理论对不同空域和时域的数据进行融合。实验结果表明 :该模型可以提高数据融合中的雷达型号识别率和可靠性 ,显示了强噪声环境下良好的应用前景。
The model for radar type recognition in data fusion is presented in the paper. These three methods are combined effectively. ANN is used to recognize radar system, fuzzy matching method is used to recognize radar type, and evidence theory is used to fuse the data in the different space and time field. The result shows that this model can effectively improve the recognition rate, the reliability and the ability of fault tolerance in the strong noise environment.
出处
《计算机仿真》
CSCD
2004年第4期105-108,共4页
Computer Simulation
基金
国防预研基金项目 (5 14 0 60 5 0 3 0 1DZ0 10 7)
