Preamble-Based Estimation of Highly Frequency Selective Channels in FBMC/OQAM Systems

Kofidis, Eleftherios

doi:10.1109/tsp.2016.2639465

Cited by 46 publications

(38 citation statements)

References 41 publications

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“…It should be noted that there is a difference between the energy input to the SFB and the energy of the modulated preamble at the SFB output due to the fact that the existence of complexvalued pilot symbols would destroy the real orthogonality of the OQAM/FBMC system. In our approach, more realistically, the transmit energy constraint of the preamble is translated at the SFB output as in [35]. Thus, the preamble optimization problem is formulated as…”

Section: A Preamble Optimization Problemmentioning

confidence: 99%

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FDM-Structured Preamble Optimization for Channel Estimation in MIMO-OQAM/FBMC Systems

Liu

Chen

Luo

et al. 2018

IEEE Trans. Wireless Commun.

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In this paper, we consider the problem of preamble design in multiple-input multiple-output (MIMO) systems employing offset quadrature amplitude modulation based filter bank multicarrier (OQAM/FBMC) and propose a preamble optimization method for the frequency division multiplexing (FDM)structured preamble. Specifically, we formulate an optimization problem to determine the frequency division multiplexed preambles, where the objective is to minimize the mean square error (MSE) of the channel estimation, subject to the constraint on the transmit energy. For two transmit antennas, we find the relationship between preambles and the intrinsic interference from neighboring symbols to achieve the minimum channel estimation MSE, and derive the optimal closed-form solution. For more than two transmit antennas, the constrained preamble optimization problem is nonconvex quadratic. Therefore, we convert the original optimization problem into a quadratically constrained quadratic program (QCQP) and obtain the suboptimal solution by relaxing the nonconvex constraint. Simulation results demonstrate that, in terms of MSE and bit error rate (BER) performances, the proposed method outperforms the conventional FDM preamble design method at all signal-to-noise ratio (SNR) regimes and outperforms the interference approximation method-complex (IAM-C) preamble design method at low to medium SNR regimes with lower preamble overhead.Index Terms-OQAM/FBMC, MIMO, channel estimation, frequency division multiplexing (FDM), preamble optimization.

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Section: A Preamble Optimization Problemmentioning

confidence: 99%

“…Let us denote by B = UΣU H , with U unitary matrix and Σ real diagonal matrix, the eigenvalue decomposition of the Hermitian matrix B. Defineã = Σ 1/2 U H a as the new variable. Then, the optimization problem (22) can be equivalently restated as…”

Section: Appendix B Closed-form Solution For the Problem (22)mentioning

confidence: 99%

FDM-Structured Preamble Optimization for Channel Estimation in MIMO-OQAM/FBMC Systems

Liu

Chen

Luo

et al. 2018

IEEE Trans. Wireless Commun.

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“…In practice, to perform the channel equalization task, the channel state information has to be first estimated based on the transmission of either pilots or preambles as in [16]- [18] for OFDM, and [19]- [22] for FBMC-OQAM, and [23], [24] for GFDM. However, to the best of our knowledge, all studies on CFBMC-OQAM assume that the channel frequency response is perfectly known for the equalization task [12], [15] and thus the bit-error rate (BER) performance of CFBMC-OQAM is equivalent to that of OFDM under the same system configuration.…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Compensation for CFBMC–OQAM Systems Under Imperfect Channel Estimation

Nguyen

2020

IEEE Access

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Among many multi-carrier systems, circular filter-bank multi-carrier offset quadrature amplitude modulation (CFBMC-OQAM) is one of promising candidates for future wireless communications. This paper studies the impact of phase noise and its compensation for CFBMC-OQAM under imperfect channel estimation, which has not been done before. In the presence of phase noise, a two-stage phase noise compensation algorithm is proposed. In the first stage, the channel frequency response and phase noise are estimated based on the transmission of a preamble. Such a preamble is designed to minimize the channel mean squared error. In the second stage, the estimated channel obtained from the first stage together with pilot symbols are used to compensate for the phase noise and detect the transmitted signal. Simulation results obtained under practical scenarios show that the proposed algorithm effectively estimates the channel frequency response and compensates for the phase noise. The proposed algorithm is also shown to outperform an existing algorithm that performs iterative phase noise compensation when phase noise impact is high. INDEX TERMS FBMC, OFDM, CFBMC-OQAM, phase noise, preamble design, channel estimation.

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“…And hence, accurate compensation and an exact estimation of CFO are considered to be highly crucial in the forthcoming optical communication system. In general, there exist two types of chief pilot configuration, which are called scattered pilots and preamble 4 . The work follows preamble designing for channel estimation.…”

Section: Introductionmentioning

confidence: 99%

Estimation of carrier frequency offset for FBMC/OQAM by using modified Kalman filtering

Rani¹,

Sridevi²

2020

Int J Communication

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Filter bank multicarrier (FBMC) based on offset quadrature amplitude modulation (OQAM) is regarded as the prospective system for mobile communication. To utilize the potential of the system, the issues like carrier frequency offset have to be investigated extensively. The modulations in the multicarrier system draw a great interest among researchers and engineers in the telecommunication field. Despite the OFDM advantages, significant disadvantages in the system enable researches to approach into efficiently evolved FBMC system. In this paper, the detrimental effects caused by carrier frequency offset on the received signal is considered. Carrier Frequency Offset (CFO) compensation has been effectively undertaken by modified Kalman filtering. The compensation technique not only depends on the specific FBMC modification but also influenced by the selected receiver. A comprehensive analysis of the frequency offset response under three conditions (without offset, with offset, and the compensated samples) has been performed in the proposed system with performance measures as bit error rate (BER) and signal-to-noise ratio. 9 CFO compensation is analyzed by varying the channel characteristics (additive white Gaussian noise [AWGN] and Rayleigh Fading) and subcarrier filtering (prototype filter, Gaussian filter, and root-raised coefficients). From the overall analysis, it is observed that the BER varies from 0.1 to 0.001.

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Preamble-Based Estimation of Highly Frequency Selective Channels in FBMC/OQAM Systems

Cited by 46 publications

References 41 publications

FDM-Structured Preamble Optimization for Channel Estimation in MIMO-OQAM/FBMC Systems

FDM-Structured Preamble Optimization for Channel Estimation in MIMO-OQAM/FBMC Systems

Phase Noise Compensation for CFBMC–OQAM Systems Under Imperfect Channel Estimation

Estimation of carrier frequency offset for FBMC/OQAM by using modified Kalman filtering

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