DFT-Based Channel Estimator for OFDM Systems with Leakage Estimation

Xiong, Xin; Jiang, Bin; Gao, Xiqi; You, Xiaohu

doi:10.1109/lcomm.2013.060513.130891

Cited by 20 publications

(7 citation statements)

References 5 publications

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“…Given that T CR is much smaller than T M-DnCNN , we use T M-DnCNN to approximately calculate the time complexity of M-DnCNN CE. Based on this result, the typical complexities calculating structure matrix presented in [38] and time complexity in [28] and [39], the time complexity of four MU channel estimation approaches are provided in Table 1.…”

Section: E Complexity Analysismentioning

confidence: 99%

Channel Estimation Capacity Enhancement for Multigroup Multicasting Multimedia Networks With DnCNN

Zeng

Wang

et al. 2019

IEEE Access

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In Time Domain Duplex (TDD) massive MIMO systems, multi-group multi-casting becomes a promising technology since it supports services of mass content distribution. Based on the nature of transmitting common message to groups of users simultaneously, there exists a rich literature discussing the resource allocation under various constraints. However, the practical acquisition of CSI has not been fully explored when the number of multi-groups is large and the band is narrow. The insufficient sounding reference signal resources lead to the limited Channel Estimation Capacity (CEC). Under this case, even with Multi-User (MU) channel estimation techniques, some users still cannot be estimated in-timely, which introduces degradation. Aiming at this problem, in this paper we provide a preliminary exploration on CEC enhancement. Based on Denoising Convolutional Neuron Network (DnCNN), which is recently proposed and has succeeded in image denoising, we propose MU-DnCNN Channel Estimation (M-DnCNN CE). M-DnCNN CE includes three parts. First, we modify the utilization of SRS sequences. Then we establish the feature maps and propose M-DnCNN to denoise the signals. Finally, a matched channel restoration method is provided. The practical 3-D MIMO channel model is utilized to evaluate the performance. Compared with DFT-based and conjugated separation methods, results show that the performance of M-DnCNN CE is robust and superior, and the CEC is remarkably improved on the premise of satisfying latency constraint. INDEX TERMS Multi-user channel estimation, multi-group multi-casting, DnCNN, 3-D MIMO, mobile intelligence.

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Section: E Complexity Analysismentioning

confidence: 99%

Channel Estimation Capacity Enhancement for Multigroup Multicasting Multimedia Networks With DnCNN

Zeng

Wang

et al. 2019

IEEE Access

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“…In conventional DFT-based channel estimation, due to the aliasing error and high-frequency distortion [20], the DCT-based channel estimation is proposed to mitigate it.…”

Section: Apbt-based Channel Estimationmentioning

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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“…This paper uses 16 quadrature amplitude modulation (16QAM) modulated China DTV Test 1st (CDT1), CDT6, and Brazil A channels to test the performance of STBC MIMO-OFDM system [27]. Simulation results demonstrate that the proposed KF method could track the dynamic channel well and has better BER and normalized mean square error (NMSE) performance than singular value decomposition (SVD) [28], discrete Fourier transform (DFT) [29], and least square (LS) [30] channel estimation methods. At the same time, the 44  STBC MIMO-OFDM system has more diversity gains and higher ability of resisting channel fading than 22  STBC MIMO-OFDM system.…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter Channel Estimation in 2 × 2 and 4 × 4 STBC MIMO-OFDM Systems

2020

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Channel estimation is a challenging problem for space time block coding (STBC) multipleinput and multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in dynamic environments. To handle this problem and improve the system performance, this paper proposes a Kalman filter (KF) based channel estimation method applied to 2 × 2 and 4 × 4 STBC MIMO-OFDM systems. The proposed method based on the dynamic tracking property of KF is well adopted for dynamic channel estimation. First, a new orthogonal space-time codeword is adopted, and the orthogonal pilot sequences are designed to suppress the interference among transmit antennas. Then, the prediction and update characteristics of KF are researched, and the state space model is established for STBC MIMO-OFDM system. Subsequently, the channel state information (CSI) is estimated iteratively according to the KF estimation equation. At last, to further improve the accuracy of KF channel estimation, the threshold is utilized to suppress the noise in the channel impulse response (CIR) estimated by KF method. Simulation results verify that the proposed KF channel estimation method with orthogonal pilots and STBC provides better bit error ratio (BER) and normalized mean square error (NMSE) performance compared with other conventional channel estimation methods, and it can be effectively adapted to dynamic multipath propagation conditions with different low and high order modulation.INDEX TERMS channel estimation, Kalman filter (KF), multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM), space time block coding (STBC).

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DFT-Based Channel Estimator for OFDM Systems with Leakage Estimation

Cited by 20 publications

References 5 publications

Channel Estimation Capacity Enhancement for Multigroup Multicasting Multimedia Networks With DnCNN

Channel Estimation Capacity Enhancement for Multigroup Multicasting Multimedia Networks With DnCNN

APBT-Based Channel Estimation for OFDM System

Kalman Filter Channel Estimation in 2 × 2 and 4 × 4 STBC MIMO-OFDM Systems

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