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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 article solves the problem of wireless channel scene recognition in mobile communication. Through the analysis of the characteristic of the actual data, the variance and fluctuation parameters of the peak position of the channel impulse response are introduced and used as the fingerprint vector of the channel to establish the fingerprint model of the wireless channel. The Euclidean distance between vectors was used as the evaluation index. By cross-validation, the scenarios were distinguished rationally and effectively to verify the high degree of environmental recognition and validity of the channel fingerprint model built. The indirect response characteristics of the peak response of the channel response Very strong environmental characteristics.