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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。
The wireless channel has some differentiated features in different environments. These differentiated features are called “fingerprints” of the wireless channel. Based on the received signal of the measured channel in mobile communication, the paper analyzes the peak distribution characteristics, extracts eight distinguishable channel “fingerprints ” features and establishes corresponding channel “fingerprinting ” model. From the perspective of time domain and frequency domain, The validity of the established channel “fingerprinting ” model is verified, and the relationship between the channel and the mobile communication scene is evaluated by using the multi-dimensional vector distance criterion.