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出 处:《无线通信技术》2017年第1期5-9,13,共6页Wireless Communication Technology
基 金:国家科技重大专项(2011ZX03002-004-02);宁波市科技创新团队(2011B81002);浙江省信息与通信工程重中之重学科开放基金项目(XKX11410)
摘 要:无线信道在不同的环境下具有一些差异化的特征,这些差异化特征被称为无线信道的"指纹"。论文基于移动通信实测信道接收信号分析了峰值分布特性,提取了8个具有区分度的信道"指纹"特征,建立了相应信道"指纹"模型,从时域和频域角度分析和验证了所建立信道"指纹"模型的有效性,利用多维向量距离评判标准评价了信道和所处移动通信场景的隶属关系。Wireless channel has some differentiation under different environmental characteristics.This different characteristics is referred to as the "fingerprints" of wireless channel.This article is based on the measurement results of the real channel and the model of the "fingerprints" is set up.Based on the peak distribution of the received mobile communication measurement signals,the 8 "fingerprints" with degree of differentiation are extracted,the model of the channel "fingerprints" is set up,the effectiveness of the channel "fingerprints" is analyzed and validated from the time domain and the frequency domain respectively,the subordinate relations of channel and scenarios are evaluated by using the distance between the multi-dimensional vector with.the practical measured data.
分 类 号:TN92[电子电信—通信与信息系统]
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