MIMO-OFDM系统的联合载波频偏和信道参数估计

Meng-Chuan Mah, Heng-Siong Lim, A. Tan
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引用次数: 1

摘要

基于自回归(AR)模型的联合信道和频偏跟踪通常通过假设状态转移矩阵和状态噪声的知识或通过Yule Walker方程获得状态转移矩阵和状态噪声来实现。本文提出了一种MIMO-OFDM系统载波频偏和信道参数联合跟踪算法,该算法能够在不需要最大多普勒频率和最大时延扩展等附加信息的情况下对信道参数进行跟踪。针对联合跟踪问题,提出了扩展卡尔曼滤波器。仿真结果表明,该方法的性能接近信道参数已知的情况。(6页)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint carrier frequency offset and channel parameters estimation for MIMO-OFDM systems
Joint channel and frequency offset tracking based on an autoregressive (AR) model are often performed by either assuming the knowledge of the state transition matrix and state noise or obtaining the state transition matrix and state noise via the Yule Walker equations. In this paper, we propose a joint carrier frequency offset (CFO) and channel parameters tracking algorithm for MIMO-OFDM system which is capable of tracking the channel parameters without requirements of additional information such as maximum Doppler frequency and maximum delay spread. The Extended Kalman Filter is proposed for the joint tracking process. Simulation results show that the performance of the proposed method is close to the case when channel parameters are known. (6 pages)
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