移动通信网络连接环境复杂多变,对实现高速宽带数据传递提出了更高的要求和挑战.在高速移动环境下,无线通信信道会发生快速变化,传统的基于导频的信道估计将占用过多传输资源,降低传输效率.基于基扩展模型对无线通信中快时变信道建模,首先分析了模型参数对模型准确度的影响,综合考虑复杂度和准确度,选择适当参数可以大大减少数据测试量.进一步地,分析了运动速度对模型的影响,并通过仿真产生的信道数据验证所建基扩展模型在减少测试数据方面的效果.最后,在加性高斯白噪声信道下,仿真了采用基扩展模型进行信道估计的误比特率性能.
The flexible connectivity of mobile communication networks has posed great chal- lenges on the high-speed broadband data transmission. In the high-speed mobile environment, rapid and significant variations will emerge in the instantaneous wireless channel conditions. Hence, the traditional pilot-based channel estimation will consume much resources, which may "reduce the transmission efficiency severely. In this paper, we model the wireless fast time-varying channel based on the Basis Expansion Model (BEM). The impact of model parameters on the accuracy was investigated firstly. Considering both the complexity and accuracy, it was found that choosing proper parameters can reduce the quantity of data mea- surement drastically. Farthermore, we analyze how the velocity affect the model, and verify the effect of reducing data measurement by applying the BEM model to the simulation chan- nel. Finally, the bit error rate (BER) performance is simulated when the BEM model is used for channel estimation with the additive white Gaussian noise.