[1] Song Xiaojin, Song Tiecheng, Shen Lianfeng, Lu Su, et al. Improved Kalman filter channel estimation methodfor OFDM systems in fast time-varying environment [J]. Journal of Southeast University (English Edition), 2005, 21 (4): 389-392. [doi:10.3969/j.issn.1003-7985.2005.04.003]
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Improved Kalman filter channel estimation methodfor OFDM systems in fast time-varying environment(
)
一种快衰落信道中OFDM系统的Kalman信道估计方法
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 21
- Issue:
- 2005 4
- Page:
- 389-392
- Research Field:
- Information and Communication Engineering
- Publishing date:
- 2005-12-30
Info
- Title:
- Improved Kalman filter channel estimation methodfor OFDM systems in fast time-varying environment
- 一种快衰落信道中OFDM系统的Kalman信道估计方法
- Author(s):
- Song Xiaojin; Song Tiecheng; Shen Lianfeng; Lu Su
- National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
- Keywords:
- channel estimation; orthogonal frequency division multiplexing(OFDM); least square(LS); minimum mean-square-error(MMSE)
- PACS:
- TN914.3
- DOI:
- 10.3969/j.issn.1003-7985.2005.04.003
- Abstract:
- Under analyzing several characteristics of frequency-selective fast fading channels, such as large Doppler spread and multi-path interference, a low-dimensional Kalman filter method based on pilot signals is presented for the channel estimation of orthogonal frequency division multiplexing(OFDM)systems.For simplicity, a one-dimensional autoregressive(AR)process is used to model the time-varying channel, and the least square(LS)algorithm based on pilot signals is adopted to track the time-varying channel fading factor a.The low-dimensional Kalman filter estimator greatly reduces the complexity of the high-dimensional Kalman filter.To utilize the relationship of fading channel in frequency domain, a minimum mean-square-error(MMSE)combiner is used to refine the estimation results.The simulation results in the frequency band of 5.5 GHz show that the proposed method achieves a good symbol error rate(SER)performance close to the theoretical bound of ideal channel estimation.
- 针对频率选择性快衰落信道的多径干扰和较大的多普勒频率扩展, 提出了一种基于导频的低维Kalman滤波算法用于正交频分复用(OFDM)系统信道估计.为了简化计算, 采用一阶自回归(AR)过程对时变信道进行建模.利用复杂度大大降低的一维Kalman滤波算法进行单个子载波的并行信道估计, 并采用基于导频的最小平方(LS)算法估计时变的信道衰减因子a.为了同时跟踪信道的频域相关性, 采用了最小均方误差(MMSE)线性合并器对Kalman信道估计结果进行修正.在5.5 GHz频段上的仿真表明了这种基于导频的低维Kalman信道估计方法, 降低了传统的Kalman滤波结构的复杂度, 能够跟踪信道的时频变化, 并且在一定程度上可以接近于理想信道估计的误码率性能.
References:
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Memo
- Memo:
- Biographies: Song Xiaojin(1981—), female, graduate;Shen Lianfeng(corresponding author), male, professor, lfshen@seu.edu.cn.