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An Effective Approach to Estimate the Second-Order Polynomial Models in Time-Varying Channels

机译:估计时变信道中二阶多项式模型的有效方法

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摘要

This paper deals with an efficient method for channel estimation in Orthogonal frequency-division multiplexing (OFDM) systems. The channels are assumed to be Time-varying (TV) and approximated by a Second order polynomial (SOP) model. Increasing the polynomial order reduces the model error, but requires more polynomial estimation time. In order to circumvent the problem, we construct two SOP models by using a repeated-pattern preamble and pilots. As the channel information can be obtained from the second SOP model which polynomial estimation period is shorter than that of general SOP model, the proposed scheme is superior to the existing methods. Simulation results are presented to illustrate the superiority of our proposed approach.
机译:本文提出了一种在正交频分复用(OFDM)系统中进行信道估计的有效方法。假定信道为时变(TV),并由二阶多项式(SOP)模型近似。增加多项式阶数可减少模型误差,但需要更多的多项式估计时间。为了解决该问题,我们使用重复模式的前导码和导频来构造两个SOP模型。由于可以从多项式估计周期短于一般SOP模型的第二SOP模型获得信道信息,因此该方案优于现有方法。仿真结果表明了我们提出的方法的优越性。

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