| 基于神经网络与主观Bayes理论的雷达识别研究 |
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| 引用本文： | 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]. 计算机工程, 2002, 28(7): 156-158 |
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| 作者姓名： | 孟伟 王宝树 赵健 |
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| 作者单位： | 1. 西安电子科技大学计算机学院,西安,710071
2. 西北工业大学电子工程系,西安,710072 |
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| 基金项目： | 国防科技预研基金资助项目(OOJ6.6.1.DZ0103)，国防科技重点实验室基金资助项目()OOJS93.5.2.DZ0123 |
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| 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Bayes理论有效地结合起来，基本思路为：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型号；最后根据主观Bayes理论对不同空域和时域的数据进行融合。实验结果表明，该模型表明：该模型提高了数据融合中的雷达信号识别率和可靠性。显示了在强噪声环境下良好的应用前景。
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| 关 键 词： | 神经网络 主观Bayes理论 雷达识别 模糊匹配 数据融合 信号处理 |
| 文章编号： | 1000-3428(2002)07-0156-03 |
| 修稿时间： | 2001-09-14 |
Study on Radar Type Classification Based on the Combination of ANN and Subjective Bayesian |
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| MENG Wei,WANG Baoshu,ZHAO Jian. Study on Radar Type Classification Based on the Combination of ANN and Subjective Bayesian[J]. Computer Engineering, 2002, 28(7): 156-158 |
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| Authors: | MENG Wei WANG Baoshu ZHAO Jian |
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| Affiliation: | MENG Wei1,WANG Baoshu1,ZHAO Jian2, |
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| 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. ;;; |
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| Keywords: | Neural networksSubjective BayesianFuzzy matchingData fusion |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
