Extrapolation of MIMO Mobile-to-Mobile Wireless Channels Using Parametric-Model-Based Prediction

被引：30
|
作者：
Adeogun, Ramoni O. [1 ]
Teal, Paul D. [1 ]
Dmochowski, Pawel A. [1 ]
机构：
[1] Victoria Univ Wellington, Sch Engn & Comp Sci, Wellington 6140, New Zealand
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2015年 / 64卷 / 10期
关键词：
Channel estimation and prediction Cramer-Rao bound; estimation of signal parameters via rotational invariance techniques (ESPRIT); mobile-to-mobile (M-to-M) channel; multidimensional parameter estimation; multiple-input-multiple-output (MIMO); multipath fading channels; STATISTICAL-MODEL; TRANSMISSION; SIGNALS;
D O I：
10.1109/TVT.2014.2366757
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper investigates the prediction of multiple-input-multiple-output (MIMO) narrow-band multipath fading channels for mobile-to-mobile (M-to-M) wireless communication systems. Using a statistical model for M-to-M communication in urban and suburban environments, we derive a parameterized double directional model and utilize a multidimensional extension of the ESPRIT algorithm to jointly estimate the angles of departure (AoD), angles of arrival (AoA), and effective Doppler frequencies. A simple method is also proposed for mobile velocity estimation. The parameter estimates are then used to forecast the M-to-M channel. The bound on the prediction error is derived using a vector formulation of the Cramer-Rao lower bound (CRLB). Simulations are used to evaluate the performance of the prediction scheme and to compare it to the derived error bound.
引用
收藏
页码：4487 / 4498
页数：12
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