An Improved DFT-Based Channel Estimation Algorithm for OFDM System in Non-sample-Spaced Multipath Channels

Fan, Tongliang; Wen, Yucang; Huang, Shengbo; Ma, Xinli

doi:10.1007/s00034-013-9678-0

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…Based on discriminant analysis, Fan el al. [4,5] presented dynamic threshold for channel estimation. The threshold value becomes a crucial factor, so it is required to find an optimal threshold value to obtain the desired results.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Time-Domain Channel Estimation Approach for OFDM System

Huang¹,

Wen²,

Ye³

et al. 2015

AMM

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OFDM usually incorporates pilot tones in the frequency domain (FD) or training symbols in the time-domain (TD) to facilitate channel estimation algorithms. TD channel estimation becomes more attractive in quasi-static channels because channel estimation scheme will optimize the spectral efficiency by re-using the training symbols designated for FD channel estimation. A channel estimation method based on time domain averaging algorithm is proposed. Due to the principle of centralized energy in time domain, the effective channel impulse response length can be detected by setting of threshold for the estimated channel impulse response length. Computer simulation demonstrates the performance of the proposed algorithms in terms of bit error rate performance.

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Section: Introductionmentioning

confidence: 99%

A Simplified Time-Domain Channel Estimation Approach for OFDM System

Huang¹,

Wen²,

Ye³

et al. 2015

AMM

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“…By now, various OFDM channel estimation schemes have been proposed in the literature. In general, the least square estimator is the simplest channel estimation [1]. However, it is limited by the noise and inter-carrier interference.The minimum mean-square error MMSE [2] estimator is a well-known channel estimator.…”

Section: Introductionmentioning

confidence: 99%

An Improved DFT-Based Channel Estimation Algorithm for OFDM System on Time-Varying Multipath Fading Channels

Li¹,

Fan²,

Du³

2014

AMR

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An improved discrete Fourier transform DFT-based channel estimation for OFDM systems is proposed. Conventional DFT-based channel estimator improved its performance by suppressing noise, but it does not completely suppress noise. In order to overcome the disadvantage, this paper proposed a gate method without requiring any channel statistical information. This method comprehensively considersthe effects of the power of the strongest path and the noises. Computer simulation demonstrates the performance of the proposed algorithms in terms of bit error rate.

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“…For example, He et al [13] proposed from compressed sensing theory optimal pilot pattern designs for a sparse channel estimation in OFDM systems. However, extra bandwidth is required to accommodate periodic training symbols, and thus is reducing the spectrum efficiency [8,12,21]. The blind method utilizes the second-order or higher statistics of received signals to perform channel estimation [1,3,11].…”

Section: Introductionmentioning

confidence: 99%

Fast Convergence on Blind and Semi-Blind Channel Estimation for MIMO–OFDM Systems

Zhang

Kuo

2014

Circuits Syst Signal Process

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In this paper, blind and semi-blind subspace channel estimations with fast convergence rate are proposed for multiple-input multiple-output orthogonal frequency division multiplexing (OFDM) systems in the presence of virtual carriers. The subspace method has a main drawback of slow convergence rate when deriving the noise subspaces from the second-order statistics of received signals. This phenomenon is especially evident when the size of received signals is large. Inspired by this fact, we present a block matrix scheme (BMS) to generate a group of sub-vectors from each OFDM symbol when virtual carriers are used. The number of equivalent signals is increased and therefore, the convergence rate of channel estimation is enhanced. The semi-blind method is also investigated by incorporating subspace technology with least square scheme. The identifiability of the BMS-based channel estimation is analyzed to derive the applicable range of the BMS size. The computational complexity of the proposed channel estimation is calculated at the end. Computer simulations show that the proposed blind and semi-blind methods converge very well in channel estimation and equalization.

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An Improved DFT-Based Channel Estimation Algorithm for OFDM System in Non-sample-Spaced Multipath Channels

Cited by 8 publications

References 11 publications

A Simplified Time-Domain Channel Estimation Approach for OFDM System

A Simplified Time-Domain Channel Estimation Approach for OFDM System

An Improved DFT-Based Channel Estimation Algorithm for OFDM System on Time-Varying Multipath Fading Channels

Fast Convergence on Blind and Semi-Blind Channel Estimation for MIMO–OFDM Systems

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