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ZHANG Jian, HE Zhi-ming. Blind OFDM Channel Estimation Based on Linear Precoding and Subspace Tracking[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 848-850,859.
Citation: ZHANG Jian, HE Zhi-ming. Blind OFDM Channel Estimation Based on Linear Precoding and Subspace Tracking[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 848-850,859.
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Blind OFDM Channel Estimation Based on Linear Precoding and Subspace Tracking

  • 1.

    School of Electronic Engineering,University of Electronic Science and Technology of China Chengdu 610054

  • Received Date: 2007-06-11
  • Rev Recd Date: 2008-04-02
  • Publish Date: 2008-12-15
  • A new algorithm for blind channel estimation is proposed. A linear precoder is applied on each pair of OFDM symbols before they enter the OFDM systems. Due to the structure introduced by precoding, a new matrix is built to make the channel state information (CSI) be its one-dimension-subspace, and the CSI is estimated by using adaptive subspace tracking techniques. Simulation results demonstrate that the presented method can decreases the influence caused by the varying data distribution, channel, and noise, and can track the variation of channel, therefore, it lowers the mean squared error (MSE) of the channel estimation and the word error rate (WER) of the communication system.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Blind OFDM Channel Estimation Based on Linear Precoding and Subspace Tracking

  • 1. School of Electronic Engineering,University of Electronic Science and Technology of China Chengdu 610054
  • Received Date: 2007-06-11
  • Rev Recd Date: 2008-04-02
  • Publish Date: 2008-12-15

Abstract: A new algorithm for blind channel estimation is proposed. A linear precoder is applied on each pair of OFDM symbols before they enter the OFDM systems. Due to the structure introduced by precoding, a new matrix is built to make the channel state information (CSI) be its one-dimension-subspace, and the CSI is estimated by using adaptive subspace tracking techniques. Simulation results demonstrate that the presented method can decreases the influence caused by the varying data distribution, channel, and noise, and can track the variation of channel, therefore, it lowers the mean squared error (MSE) of the channel estimation and the word error rate (WER) of the communication system.

ZHANG Jian, HE Zhi-ming. Blind OFDM Channel Estimation Based on Linear Precoding and Subspace Tracking[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 848-850,859.
Citation: ZHANG Jian, HE Zhi-ming. Blind OFDM Channel Estimation Based on Linear Precoding and Subspace Tracking[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 848-850,859.
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