Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems.

IF 2
Ruixuan He, Xiaoran Liu, Kai Mei, Guangwei Gong, Jun Xiong, Jibo Wei
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Abstract

The power-delay profile (PDP) estimation of wireless channels is an important step to generate a channel correlation matrix for channel linear minimum mean square error (LMMSE) estimation. Estimated channel frequency response can be used to obtain time dispersion characteristics that can be exploited by adaptive orthogonal frequency division multiplexing (OFDM) systems. In this paper, a joint estimator for PDP and LMMSE channel estimation is proposed. For LMMSE channel estimation, we apply a candidate set of frequency-domain channel correlation functions (CCF) and select the one that best matches the current channel to construct the channel correlation matrix. The initial candidate set is generated based on the traditional CCF calculation method for different scenarios. Then, the result of channel estimation is used as an input for the PDP estimation whereas the estimated PDP is further used to update the candidate channel correlation matrix. The enhancement of LMMSE channel estimation and PDP estimation can be achieved by the iterative joint estimation procedure. Analysis and simulation results show that in different communication scenarios, the PDP estimation error of the proposed method can approach the Cramér-Rao lower bound (CRLB) after a finite number of iterations. Moreover, the mean square error of channel estimation is close to the performance of accurate PDP-assisted LMMSE.

Abstract Image

Abstract Image

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OFDM系统信道和PDP的迭代联合估计方法。
无线信道的功率延迟曲线估计是生成信道相关矩阵进行信道线性最小均方误差估计的重要步骤。估计的信道频率响应可用于获得可用于自适应正交频分复用(OFDM)系统的时间色散特性。本文提出了一种用于PDP和LMMSE信道估计的联合估计器。对于LMMSE信道估计,我们使用一组候选频域信道相关函数(CCF),并选择与当前信道最匹配的一个来构建信道相关矩阵。初始候选集基于传统的CCF计算方法,针对不同的场景生成。然后,将信道估计的结果作为PDP估计的输入,并使用估计的PDP进一步更新候选信道相关矩阵。采用迭代联合估计方法对LMMSE信道估计和PDP估计进行了改进。分析和仿真结果表明,在不同的通信场景下,经过有限次迭代后,所提出方法的PDP估计误差接近cram - rao下界(CRLB)。此外,信道估计的均方误差接近精确pdp辅助LMMSE的性能。
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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