论文部分内容阅读
依据频域信道测量数据,提出了符合中国超宽带(UWB)技术频率使用规定的大型客车车厢信道模型.在信道测量信号的后处理中,使用过渡带为高斯滚降特性的类高斯窗来提取符合中国UWB频谱规范的测量信号,并为信道时域测量信号提出了一种基于小波分析的自动分簇算法来替代人眼分簇.信道模型采用修正Saleh-Valenzuela模型,从测量数据中统计提取信道模型参数,并依据模型参数仿真实现了信道模型.结果表明,提出的大型客车车厢信道模型和信道实测数据有相似的附加时延、均方根时延扩展特性和平均多径个数.
According to the frequency domain channel measurement data, a large-scale bus cabin channel model is proposed, which is in line with the UWB technology frequency usage in the post-processing of the channel measurement signal, using a Gaussian-like window with Gaussian roll-off in the transition band In order to replace the human eye cluster, an automatic clustering algorithm based on wavelet analysis is proposed for the channel time-domain measurement signal.The channel model is based on the modified Saleh-Valenzuela model and is statistically extracted from the measured data Channel model parameters and simulate the channel model according to the model parameters.The results show that the presented model of the large passenger car channel has similar additional delay, rms delay spreading characteristics and average number of multipaths as measured data of the channel.