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机构地区:[1]解放军理工大学通信工程学院研究生2队,江苏南京210007 [2]解放军理工大学通信工程学院研究生4队 [3]解放军信息工程大学,河南郑州450000
出 处:《军事通信技术》2016年第2期72-76,共5页Journal of Military Communications Technology
基 金:国家自然科学基金资助项目(61401508)
摘 要:文章解决移动通信中的无线信道场景识别问题。通过实际数据的特征分析,引入了信道冲击响应峰值位置的方差和波动参数,并将其联合作为信道的指纹向量,建立无线信道的指纹模型。采用向量间的欧氏距离作为评价指标,通过交叉验证,合理、有效地区分场景,验证了所建信道指纹模型的高度环境辨识度及有效性,也间接验证了信道响应峰值位置的变化特性有很强烈的环境特征。The recognition of wireless channel scenes in mobile communication was solved in this article. The characteristics of measured values were analyzed firstly, the fluctuation parame- ter and the variance of the peak location of channel impact response introduced, and the combina- tion of the two defined as the vector quantity of channel fingerprints. Then the model of wireless channel fingerprints was formulated. Making the Euclidean distance between two vectors as the assessment criteria, different scenes can be distinguished reasonably and effectively through cross validation, and the effectiveness and high environmental recognition of the proposed model can be verified, as well as the intense environmental sensitivity of the peak location of the channel im- pact response.
分 类 号:TN92[电子电信—通信与信息系统]
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