MIMO FIR channel estimation: a first-order statistical method

Jun Tao, Luxi Yang
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引用次数: 2

Abstract

Mobile wireless links exhibit frequency selective fading , thus a receiver needs to perform channel estimation and equalization. In this paper, we propose a superimposed periodic pilot scheme for channel estimation of a multi-input and multi-output (MIMO) system with finite-impulse response (FIR). A simple first-order statistics is used, and any FIR channel can be estimated provided both transmitted signals and additional noises are stationary with known means while regardless of any assumption on the color or distribution. There is no loss of information rate except for a controllable increase in transmission power. We derive the variance expression of this linear channel estimator. Numerical simulations demonstrate the effectiveness of this proposed method.
MIMO FIR信道估计:一阶统计方法
移动无线链路表现出频率选择性衰落,因此接收机需要进行信道估计和均衡。在本文中,我们提出了一种用于有限脉冲响应(FIR)的多输入多输出(MIMO)系统信道估计的叠加周期导频方案。使用简单的一阶统计量,并且可以估计任何FIR信道,只要传输信号和附加噪声都是已知均值的平稳,而不管对颜色或分布的任何假设。除了传输功率的可控增加外,没有信息速率的损失。我们推导了这个线性信道估计量的方差表达式。数值仿真验证了该方法的有效性。
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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