Journal of Shandong University(Engineering Science) ›› 2019, Vol. 49 ›› Issue (4): 130-136.doi: 10.6040/j.issn.1672-3961.0.2018.175

• Electrical Engineering • Previous Articles    

A doubly-selected channel estimation method based on an unscented Kalman filter

Na LU1(),Li GAO1,Xuanfan SHEN2   

  1. 1. Shangqiu Polytechnic, Shangqiu 476099, Henan, China
    2. School of Microelectronic and Communication Engineering, Chongqing University, Chongqing 400044, China
  • Received:2018-05-08 Online:2019-08-20 Published:2019-08-06
  • Supported by:
    河南省科技攻关资助项目(182102210116)

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Abstract:

Due to selective fading in time domain and frequency domain (doubly-selective fading) causes the inter carrier interference (ICI) in the orthogonal frequency division multiplexing (OFDM) system, the communication quality would be declined in high speed environment. The basis expansion model (BEM) decreased the spatial complexity of the channel estimation algorithm while eliminating the ICI impact effectively. For the non-linear channel state space model under the BEM, the unscented Kalman filter (UKF) was adopted to track the channel response in time and improve channel estimation accuracy. Simulation results showed that the BEM-UKF was able to effectively improve the accuracy of channel estimation and had better bit error rate (BER) performance and robustness than traditional algorithms.

Key words: channel estimation, doubly-selective channel, BEM, UKF

CLC Number: 

  • TN911.72

Table 1

The parameters of simulation system"

参数系统带宽基向量维数Sigma点数参数α参数β调制方式
数值5 MHz12500.75-22QPSK

Fig.1

The NMSE curves with different SNRs"

Fig.2

The BER curves with different SNRs"

Fig.3

The NMSE curves with different velocities"

Fig.4

The BER curves with different velocities"

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