| 一种基于基扩展模型的OFDM频域快时变信道估计方法 |
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| 引用本文： | 李丹,柯峰. 一种基于基扩展模型的OFDM频域快时变信道估计方法[J]. 信号处理, 2012, 28(2): 193-199 |
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| 作者姓名： | 李丹 柯峰 |
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| 作者单位： | 1. 韶关学院计算机科学学院,广东韶关,512005
2. 华南理工大学电子与信息学院,广东广州,510640 |
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| 基金项目： | 国家自然科学基金项目资助(No.61101134:高速移动场景下OFDM/OFDMA系统符号内快变信道频域估计研究;No.61001113);广东高校优秀青年创新人才培养计划项目资助(No.LYM11116);韶关市科技计划项目资助(No.2011CX/K13) |
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| 摘 要： | 现有的OFDM系统快时变信道估计方法均为时域估计方法,假定信道为整数倍采样信道,利用理想的等间隔均匀导频恢复信道时域响应函数,进而采用基扩展模型拟合并估计其时变特性。而实际的信道通常为非整数倍采样信道,频带内可用的导频也并非假定的理想模式。此时,恢复的信道时域响应出现能量泄漏,导致算法性能大大受限。本文提出一种频域快时变信道估计方法,利用信道频域时变传输函数辅助估计,从而估计得到信道频域响应矩阵。该方法在频域实现,性能不受信道时域响应能量泄露影响。仿真实验从误码率、均方误差两方面分别验证了该方法的有效性。
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| 关 键 词： | 正交频分复用(OFDM) 信道估计 快时变信道 基扩展模型 |
BEM based Frequency Domain fast Time Varying Channel Estimation method for OFDM Systems |
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| LI Dan , KE Feng. BEM based Frequency Domain fast Time Varying Channel Estimation method for OFDM Systems[J]. Signal Processing(China), 2012, 28(2): 193-199 |
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| Authors: | LI Dan KE Feng |
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| Affiliation: | 1.College of Computer Science,Shaoguan University,Shaoguan,China 512005; 2.Dept.of Electronic Engineering South China University of Technology,Guangzhou,China 510640) |
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| Abstract: | Conventional fast Time-Varying(TV) Channel Estimation(CE) methods for Orthogonal Frequency Division Multiplexing(OFDM) systems are performed in the time-domain,which need optimal even-pilots to track the time-domain channel impulse response(CIR) variations over one symbol period by Basis Expansion Model(BEM).And the multi-path channels are assmumed sample spaced.The required sample spaced channels and even-pilots are not satisfied in practical OFDM systems.As a result,the CIR leakage occurs and the estimation errors increase greatly.In this paper,a frequencydomain fast TV CE method for practical OFDM systems is proposed.The frequency-domain transmission function is used for estimation,and finally the frequency-domain channel matrix is obtained.The proposed method is performed in the frequecny -domain,so that it is immune to the time-domain CIR leakage.Simulation results demonstrate its validity in Symbol Error Rate(SER) and Mean Square Error(MSE). |
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| Keywords: | Orthogonal Frequency Division Multiplexing Channel Estimation fast Time-Varying channels Basis Expansion Model |
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