Development of discrete Fourier transform‐based channel estimation algorithms for a coherent optical orthogonal frequency division multiplexing transmission system

Chen, Bai; Shuai, Zhang; Bai, Shun-Chang; Luo, Qing-long

doi:10.1049/iet-com.2013.0884

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…In DFT-based approach, the channel frequency response (CFR) is first estimated by applying the conventional channel estimation, i.e., linear minimum mean-square error (LMMSE) algorithm in the frequency domain. Then, the IDFT is applied to obtain the (CIR) in time domain [8], [9]. Then a truncation of the CIR is performed to improve the estimation accuracy approaches in the time domain.…”

Section: Introductionmentioning

confidence: 99%

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DFT-based Channel Estimation Techniques for Massive MIMO Systems

Al-Salihi

Nakhai

Lê

2018

2018 25th International Conference on Telecommunications (ICT)

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In massive MIMO systems, efficient and highly accurate channel state information (CSI) at the base station are essential requirements for tackling the effect of pilot contamination to achieve the potential benefits of the systems. In this paper, we propose two discrete Fourier transform (DFT)-based channel estimation techniques for massive MIMO systems. The proposed methods mitigate the pilot contamination significantly via modifying the DFT-based estimation through iterations and most significant (MST) approaches. The simulation results obtained through these approaches demonstrated the effectiveness of the DFT-based channel estimation techniques in alleviate/eliminate the pilot contamination when compared to conventional channel estimators, in terms of channel estimation accuracy and achievable uplink rate. Index Terms-Massive MIMO; channel estimation; discrete Fourier transform (DFT).

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Section: Introductionmentioning

confidence: 99%

“…Then a truncation of the CIR is performed to improve the estimation accuracy approaches in the time domain. Finally, DFT is applied to the truncated CIR to obtain the estimated CFR [8], [9]. In iterative DFT, the previously described procedure in DFT estimation is executed several times to address the pilot contamination problem.…”

Section: Introductionmentioning

confidence: 99%

DFT-based Channel Estimation Techniques for Massive MIMO Systems

Al-Salihi

Nakhai

Lê

2018

2018 25th International Conference on Telecommunications (ICT)

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“…Currently, the popular channel estimation is based on Discrete Fourier Transform (DFT) or Discrete Cosine Transform (DCT) [10]- [12]. At first, the CFR could be got by applying LS criteria at pilot locations.…”

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confidence: 99%

APBT-Based Channel Estimation for OFDM System

Shan¹,

Zhou²,

Wang³

2016

jcm

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Orthogonal Frequency Division Multiplexing (OFDM) has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL Internet access, wireless networks, powerline networks, and 4G mobile communications. It plays an important role in the new generation of mobile communication. In OFDM system, channel estimation is a necessary technique for improving the system's accuracy at the receiving end. Therefore channel estimation based on pilot assistant has been a hot area of research for several years. Recently, the advantages of the Discrete Cosine Transform (DCT) based channel estimation have come to light. Compared to channel estimation based on Discrete Fourier Transform (DFT), DCT-based channel estimation could improve the performance of channel estimation, and it is also an efficient way to suppress the Gaussian white noise. A new transform called All Phase Biorthogonal Transform (APBT) was proposed in recent years, APBT has the similar energy compaction property of DCT. Therefore, a novel channel estimation based on APBT was proposed for QPSK and 16-QAM modulated signals in this paper. The proposed method can solve the low leakage problem which exists in DFT-based channel estimation and "error floor" which exists in DCT-based channel estimation. From experimental results, the APBT-based channel estimation provides improved performance in terms of Bit Error Rate (BER) and reduction in the Mean Square Error (MSE) compared to conventional channel estimation based on DFT and DCT.

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