利用卡尔曼滤波和时空码进行相关信道半模糊估计

M. Loiola, R. Lopes
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引用次数: 1

摘要

在本文中,我们提出了一种半盲算法来估计平坦的、时变的和空间相关的MIMO信道。该估计器采用卡尔曼滤波器对正交空时分组编码系统中的信道进行跟踪。在建立了空间相关MIMO信道的状态空间模型后,我们表明所提出的估计器可以通过使用空时分组码字固有的正交性来简化。仿真结果表明,该算法对天线空间相关具有较强的鲁棒性。关键词:MIMO信道估计,卡尔曼滤波,正交空时分组码,空间相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimação Semicega de Canais com Correlação Usando Filtro de Kalman e Códigos Espaço-Temporais
In this paper we propose a semiblind algorithm for estimation of flat, time-varying and spatially correlated MIMO channels. The proposed estimator employs a Kalman filter to track the channel in orthogonal space-time block coded systems. After developing a state-space model to spatially correlated MIMO channels we show that the proposed estimator can be simplified by using the orthogonality inherent to space-time block codewords. Simulation results indicate that the proposed algorithm is robust to antennas spatial correlations. Keywords— MIMO channel estimation, Kalman filter, orthogonal space-time block codes, spatial correlation.
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