An adaptive parametric prediction method for mobile MIMO wireless systems

Ramoni O. Adeogun, Paul D. Teal, P. Dmochowski
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引用次数: 2

Abstract

In this paper, we investigate the prediction of mobile MIMO channels with varying multipath parameters. Based on the PAST algorithm, we propose a multidimensional adaptive ESPRIT approach for jointly tracking the evolution of the Doppler frequencies and spatial directions of arrival and departure of the propagation paths. Future states of the channel are predicted using the last estimate of the propagation parameters. We show via simulation that the proposed adaptive method outperforms existing static approaches with varying channel parameters. Our results indicate that the performance improvement from parameter tracking is dependent on the rate of variation of the underlying multipath parameters.
移动MIMO无线系统的自适应参数预测方法
本文研究了移动MIMO信道中多径参数变化的预测问题。在过去算法的基础上,提出了一种多维自适应ESPRIT方法,用于联合跟踪多普勒频率和传播路径到达和离开的空间方向的演变。利用最后估计的传播参数来预测信道的未来状态。我们通过仿真表明,所提出的自适应方法优于现有的具有不同信道参数的静态方法。我们的研究结果表明,参数跟踪的性能改进取决于底层多路径参数的变化率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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