摘要： 提出一种数据融合中雷达型号的三级识别模型,该模型将人工神经网络、模糊匹配和主观理论有效地结合起来,基本思路Bayes为:首先用神经网络进行粗分类,识别出雷达的体制;然后通过模糊匹配识别出该体制下的雷达型号;最后根据主观理论对不同空域Bayes和时域的数据进行融合。实验结果表明:该模型提高了数据融合中的雷达型号识别率和可靠性,显示了在强噪声环境下良好的应用前景。
关键词:
神经网络,
主观Bayes,
模糊匹配,
数据融合
Abstract: The model for radar type recognition in data fusion is put forward in the paper. ANN is used to recognize radar system, fuzzy matching method is used to recognize radar type, and subjective Bayesian is used to fuse the data in the different space and time field. These three methods are combined effectively in the paper. The result of recognition illuminates that this model can efficiently improve the recognition rate, the reliability and the ability of fault tolerance in the strong noise environment. ;;;
中图分类号:
孟伟,王宝树,赵健. 基于神经网络与主观Bayes理论的雷达识别研究[J]. , 2002, 28(07): 165-167.
MENG Wei1,WANG Baoshu1,ZHAO Jian2. Study on Radar Type Classification Based on the Combination of ANN and Subjective Bayesian[J]. , 2002, 28(07): 165-167.