OFDM Receiver for Fast Time-Varying Channels Using Block-Sparse Bayesian Learning

Barbu, Oana-Elena; Manchón, Carles Navarro; Rom, Christian; Balercia, Tommaso; Fleury, Bernard Henri

doi:10.1109/tvt.2016.2554611

Cited by 12 publications

(11 citation statements)

References 24 publications

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“…By defining number of iterations that the algorithm needs to converge as , total number of complex operations is approximately (16 ). Based on this result and keeping low computational requirement of DWHT algorithm in mind, it can be concluded that the proposed algorithm has low computational cost if compared to the existing works in the literature such as [13,25,26]. The computational load of the proposed SAGE algorithm is given here roughly; it is possible to find a bit more detailed analysis in [13].…”

Section: Complexity Analysismentioning

confidence: 89%

Section: Motivation and Previous Workmentioning

confidence: 99%

“…Some of the most remarkable of these studies can be found in [25][26][27][28]. Reference [25] presents an iterative receiver which uses two tolls: block-sparse-Bayesian learning and meanfield belief-propagation. The method has a satisfactory performance to estimate the delays, and their receiver performs almost excellently, but computational complexity of it is still an important problem since it uses a Bayesian based method.…”

Section: Motivation and Previous Workmentioning

confidence: 99%

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Iterative Receiver with Low Complexity for Downlink Multicarrier Communications over Rapidly Time‐Varying Channels

Kabaoglu

Erdoğan

Aydin

2018

Wireless Communications and Mobile Computing

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This study proposes an iterative, joint channel estimation, equalization, and data detection method in the presence of high mobility for a multicarrier downlink system that communicates over rapidly time-varying channels. The proposed method uses a basis expansion method (BEM) which has low computational complexity and helps to reduce the number of coefficients needed to represent a time-varying channel and therefore is extremely easy to implement practically. Unlike the current literature, which is almost entirely focused on the uplink communication systems due to their computational costs, this method prioritizes the goal of being feasible in a downlink system with a reasonable performance. The proposed suboptimal algorithm is based on the space-alternating generalized expectation-maximization (SAGE) algorithm and the time-varying channel is represented by orthogonal basis functions obtained by means of discrete Walsh-Hadamard transform (DWHT). The resulting receiver iterates between maximum a posteriori (MAP) based channel estimation in the subspace spanned by the orthogonal basis functions and successive interference cancellation. Numerical examples show that the proposed algorithm has a satisfactory symbol error rate with low computational complexity and also has a reasonable peak-to-average power ratio (PAPR) reduction effect.

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Section: Complexity Analysismentioning

confidence: 89%

Section: Motivation and Previous Workmentioning

confidence: 99%

Section: Motivation and Previous Workmentioning

confidence: 99%

See 1 more Smart Citation

Iterative Receiver with Low Complexity for Downlink Multicarrier Communications over Rapidly Time‐Varying Channels

Kabaoglu

Erdoğan

Aydin

2018

Wireless Communications and Mobile Computing

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“…Therefore, we must build a new channel sparse recovery model. Because the ICI is very little in (13), it can be treated as noise. Assuming W (k P , k P + 1) = ICI kP − ICI kP +1 + W (k P ) − W (k P + 1), substituting (3) and (4) into (13), we can get…”

Section: A New Channel Sparse Recovery Methods 41 New Sparse Recoverymentioning

confidence: 99%

Sparse channel recovery with inter-carrier interference self-cancellation in OFDM

Song¹,

Guo²,

Qian³

et al. 2018

Journal of Systems Engineering and Electronics

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A new sparse channel estimation method of orthogonal frequency division multiplexing (OFDM) system based on intercarrier interference (ICI) self-cancellation is investigated. Firstly, based on the characteristic that the ICI generated by a subcarrier to the two adjacent subcarriers is approximately equal, a data pair with opposite sign and equal magnitude is modulated onto two adjacent subcarriers as pilot pair to eliminate the effect of ICI on pilots. Secondly, a new OFDM channel estimation model based on linear time-varying (LTV) model and compressed sensing (CS) is constructed, which obtains the mean of the gains of the multipath. Finally, a pilot pair optimization algorithm based on two layers loop is used to realize the minimization of the mutual coherence of the measurement matrix. For time-varying channel scenes with different numbers or delay of multipath and maximum Doppler frequency shift, the performances of several channel estimation methods are verified by simulation. The result shows that the new method has obvious advantage in both the performance of the channel estimation and the spectral efficiency.

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“…It is well known that the ICI is generated in the time-varying channel. A lot of schemes have been proposed to mitigate this kind of the ICI [20]- [23]. However, the schemes proposed in [20]- [23] cannot be directly applied to mitigate the ICI due to the gain adjustment in OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Mitigation of ICI Due to Gain Adjustment in OFDM Systems

2019

IEEE Access

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Automatic gain control (AGC) is widely adopted in orthogonal frequency division multiplexing (OFDM) systems to compensate the significant variation of the received signal. In OFDM systems, the duration of the cyclic prefix (CP) is usually equal to the delay spread of the channel to minimize the system overhead. The inter-symbol interference (ISI) between consecutive OFDM symbols spreads over a large portion of the CP. The CP contaminated by the ISI should not be used to estimate the received power. If the duration of the remaining CP is shorter than the settling time of the AGC, then the gain adjustment will be carried out within the useful portion of the OFDM symbol. The subcarrier orthogonality is lost and the system performance is degraded by the resulting inter-carrier interference (ICI). In this paper, we propose a simple and efficient scheme to mitigate the ICI. The proposed scheme can be easily implemented in actual systems because of its low computational complexity. The simulation results show that the proposed scheme can increase the signal-to-interference-plus-noise ratio significantly compared to the traditional scheme.INDEX TERMS Automatic gain control, inter-carrier interference, inter-symbol interference, orthogonal frequency division multiplexing.

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OFDM Receiver for Fast Time-Varying Channels Using Block-Sparse Bayesian Learning

Cited by 12 publications

References 24 publications

Iterative Receiver with Low Complexity for Downlink Multicarrier Communications over Rapidly Time‐Varying Channels

Iterative Receiver with Low Complexity for Downlink Multicarrier Communications over Rapidly Time‐Varying Channels

Sparse channel recovery with inter-carrier interference self-cancellation in OFDM

Analysis and Mitigation of ICI Due to Gain Adjustment in OFDM Systems

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