一种基于云模型的辐射源识别方法

刘海军; 柳征; 姜文利; 周一宇

doi:10.3724/SP.J.1146.2008.01222

一种基于云模型的辐射源识别方法

doi: 10.3724/SP.J.1146.2008.01222

计量
- 文章访问数: 3015
- HTML全文浏览量: 100
- PDF下载量: 1012
- 被引次数: 0
出版历程
- 收稿日期: 2008-09-25
- 修回日期: 2009-04-30
- 刊出日期: 2009-09-19

A Method for Emitter Recognition Based on Cloud Model

摘要

摘要: 该文针对测量参数的不确定所造成的辐射源不能正确识别问题，提出了一种基于云模型的识别方法。该方法首先利用云模型对雷达模板库中区间类型的参数变量进行正态云建模从而得到测量参数的隶属度，然后利用云模型的定性定量转换特性来描述离散型参数变量的调制匹配程度，同时给出了一种确定辐射源识别权值的新方法，能够动态调整各特征参数的权值。仿真结果表明，这种基于云模型的识别方法是适用有效的。
- 雷达; 辐射源识别; 云模型; 正态云; 隶属度
Abstract: To deal with the parameter uncertainty in emitter recognition problem, this paper presents a viable recognition method based on cloud model. First, for getting the degree of membership of the measurement parameter, it applies this theory to model the interval type parameters in template database with normal cloud model. Then it uses the characteristic of the transformation between qualitative concepts and their quantitative expression to describe the matching degree of the discrete parameters. At the same time, a new method of determining weight coefficients is proposed, by which the coefficient can be adjusted dynamically. Simulation results show that the method is applicable and effective.

HTML全文

参考文献(1)

陈锡明, 祝正威, 卢显良. 新型雷达辐射源识别专家系统的研究与实现[J]. 系统工程与电子技术, 2000, 22(8): 58-62.Chen Xi-ming, Zhu Zheng-wei, and Lu Xian-liang. Researchand implementation on a new radar radiating sourcerecognizing expert system[J]. Systems Engineering andElectronics, 2000, 22(8): 58-62.[2]丁锋, 姜秋喜. 多传感器模糊D-S理论辐射源识别[J]. 电光与控制, 2008, 15(4): 34-38.Ding Feng and Jiang Qiu-xi. Emitter recognition ofmulti-sensor data fusion based on fuzzy D-S evidencetheory[J]. Electronics Optics Control, 2008, 15(4): 34-38.[3]Shieh Ching-sung and Lin Chin-teng. A vector neuralnetwork for emitter identification[J].IEEE Transactions onAntennas and Propagation.2002, 50(8):1120-1127[4]关欣, 何友, 衣晓. 一种新的基于粗集的辐射源信号识别模型[J]. 宇航学报, 2007, 28(3): 685-688.Guan Xin, He You, and Yi Xiao. A novel rough set emittersignal recognition model[J]. Journal of Astronautics, 2007,28(3): 685-688.[5]李德毅. 知识表示中的不确定性[J]. 中国工程科学, 2000,2(10): 73-79.Li D Y. Uncertainty in knowledge representation[J].Engineering Science, 2000, 2(10): 73-79.[6]李德毅, 刘常昱. 论正态云模型的普适性[J]. 中国工程科学,2004, 6(8): 28-34.Li D Y and Liu C Y. Study on the universality of the normalcloud model[J]. Engineering Science, 2004, 6(8): 28-34.[7]Li D Y. Knowledge representation and discovery based onlinguistic atoms. Proceedings of the 1st Pacific-AsiaConference, Singapore, 1997: 23-24.[8]宋远骏, 李德毅等. 电子产品可靠性的云模型评价方法[J].电子学报, 2000, 12(28): 74-76.Song Yuan-jun and Li D Y, et al.. Reliability evaluation ofelectronic products based on cloud models[J]. ActaElectronica Sinica, 2000, 12(28): 74-76.[9]黄海生, 王汝传. 基于隶属云模型的主观信任评估模型研究[J]. 通信学报, 2008, 29(4): 14-19.Huang Hai-sheng and Wang Ru-chuan. Subjective trustevaluation model based on membership cloud theory[J].Journal on Communications, 2008, 29(4): 14-19.[10]Wang Fang, Li Yan-peng, and Li Xiang. Performanceevaluation for automatic target recognition based on cloudtheory. The 2008 International Conference on Radar,Adelaide, SA, 2008: 498-502.

施引文献

资源附件(0)

访问统计