Scattered Pilot-Based Channel Estimation for Channel Adaptive FBMC-OQAM Systems

Fuhrwerk, Martin; Moghaddamnia, Sanam; Peissig, Jürgen

doi:10.1109/twc.2017.2651806

Cited by 48 publications

(28 citation statements)

References 33 publications

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“…7 This is only valid for the PHYDYAS filter. There are other prototype filter functions in discussion for OFDM/OQAM systems which may require a different value for β [34]. 8 It is worth emphasizing that the CRB derived in this section is based on the approximation of Gaussian distribution for the data interference term ζ d k,n ; hence, it provides a benchmark for the performance of the estimators developed on such an assumption.…”

Section: Discussionmentioning

confidence: 99%

“…The term γ (18), known as ambiguity function [34], characterizes the level of the 'intrinsic interference' of the n th real input sample from the k th subband, d k ,n , on the nth output sample from the kth subband, through the lth channel tap, h [ l], in the presence of CFO, μ 0 , and STO, τ 0 . In the special case l = μ 0 = τ 0 = 0, the quantity γ k ,n k,n (0, 0, 0) describes the level of complex orthogonality of the analysis/synthesis filters of the OFDM/OQAM transceiver system up to a multiplicative factor θ k ,n θ * k,n .…”

Section: Effects Of Fading Channel Carrier Frequency Offset and Sammentioning

confidence: 99%

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Joint frequency offset, time offset, and channel estimation for OFDM/OQAM systems

Baghaki

Champagne

2018

EURASIP J. Adv. Signal Process.

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Among the multicarrier modulation techniques considered as an alternative to orthogonal frequency division multiplexing (OFDM) for future wireless networks, a derivative of OFDM based on offset quadrature amplitude modulation (OFDM/OQAM) has received considerable attention. In this paper, we propose an improved joint estimation method for carrier frequency offset, sampling time offset, and channel impulse response, needed for the practical application of OFDM/OQAM. The proposed joint ML estimator instruments a pilot-based maximum-likelihood (ML) estimation of the unknown parameters, as derived under the assumptions of Gaussian noise and independent input symbols. The ML estimator formulation relies on the splitting of each received pilot symbol into contributions from surrounding pilot symbols, non-pilot symbols and additive noise. Within the ML framework, the Cramer-Rao bound on the covariance matrix of unbiased estimators of the joint parameter vector under consideration is derived as a performance benchmark. The proposed method is compared with a highly cited previous work. The improvements in the results point to the superiority of the proposed method, which also performs close to the Cramer-Rao bound.

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Section: Discussionmentioning

confidence: 99%

Section: Effects Of Fading Channel Carrier Frequency Offset and Sammentioning

confidence: 99%

Joint frequency offset, time offset, and channel estimation for OFDM/OQAM systems

Baghaki

Champagne

2018

EURASIP J. Adv. Signal Process.

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“…According to [8] and [14], the maximum values of interference weights are for , , ,    and  respectively. So we send pseudo pilots in the position of  and  ; and they have the maximum weights and the interference weight pattern will be: 0 0…”

Section: A Proposed Modified Iam (M-iam) Schemementioning

confidence: 99%

“…Channel estimation (CE) methods of FBMC attract numerous researches, especially in multipath fading channels [10]. FBMC CE methods include preamble-based [11]- [13] and scattered pilotsbased techniques [11], [14], and [15] techniques. The former ones are supposed to cancel the undesired interference, like interference cancellation method (ICM) or effectively exploiting it to improve the estimation performance, like interference approximation method (IAM) [12].…”

Section: Introductionmentioning

confidence: 99%

A Modified Interference Approximation Scheme for Improving Preamble Based Channel Estimation Performance in FBMC System

Roshdy¹,

Aboul-Dahab²,

Fouad³

2020

IJCNC

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Filter bank multicarrier (FBMC) is considered a competitive waveform candidate for 5G that can replace orthogonal frequency division multiplexing (OFDM). However, channel estimation (CE) is a big challenge in FBMC because it suffers from intrinsic interference which is due to the orthogonality of the subcarrier functions in the real field only. In this paper, we investigate a proposed modified interference approximation scheme (M-IAM) by approximating the intrinsic interference from the neighbouring pilots to accommodate the complex channel frequency and thus improving CE performance besides simplifying its processing. The M-IAM scheme has a larger pseudo pilot magnitude than other conventional preamble schemes, namely the interference approximation method (IAM) with its versions (IAM-C) and (E-IAM-C); in addition to the novel preamble design (NPS). In addition, the proposed (M-IAM) scheme is characterized by the lower transmitted power needed. The CE performance of the M-IAM is investigated through 512 and 2048 subcarriers via different types of outdoor and indoor multipath fading channels that are timeinvariant such as IEEE 802.22, IEEE 802.11, Rician, and additive white Gaussian noise (AWGN), as well as time-varying channels such as Rayleigh and Vehicular A (Veh-A). Simulation results demonstrate that the proposed M-IAM scheme achieves a lower bit error rate (BER), lower normalized mean square error (NMSE) and lower peak-to-average power ratio (PAPR) over the conventional preamble schemes under the aforementioned channel models. The proposed scheme has the advantage of saving the transmitted power, a requirement that could match 5G low power requirements. KEYWORDSFilter bank multicarrier (FBMC), intrinsic interference, preamble based channel estimation methods

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“…If it was chosen to be larger, the system would be more sensitive to time selectivity and less to frequency selectivity. The authors in [24], [40] provide a detailed performance analysis on the choice of the symbol duration as a function of the channel delay and Doppler spread.…”

Section: A Validation Of the Theoretic Expressions Of Theorems Iii2mentioning

confidence: 99%

Parallel Equalization Structure for MIMO FBMC-OQAM Systems Under Strong Time and Frequency Selectivity

Rottenberg

Mestre

Petrov

et al. 2017

IEEE Trans. Signal Process.

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Offset-QAM-based filterbank multicarrier (FBMC-OQAM) has been shown to be a promising alternative to cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM) for the future generation of wireless communication systems. Unfortunately, as the channel gets more selective in time and frequency, the FBMC-OQAM orthogonality is progressively destroyed and distortion appears after the demodulation process at the receiver. While channel frequency selectivity has been very widely studied in the FBMC literature, the impact of time selectivity of the channel has not received that much attention. In this paper, the effect of the two types of selectivity on a multiple-input multiple-output (MIMO) FBMC system is characterized and a parallel equalization structure that can compensate for the doubly dispersive nature of the channel is proposed. This design uses multiple analysis filterbanks (AFB) and extends previous approaches that were dealing only with channel frequency selectivity. A th... Abstract-Offset-QAM-based filterbank multicarrier (FBMC-OQAM) has been shown to be a promising alternative to cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM) for the future generation of wireless communication systems. Unfortunately, as the channel gets more selective in time and frequency, the FBMC-OQAM orthogonality is progressively destroyed and distortion appears after the demodulation process at the receiver. While channel frequency selectivity has been very widely studied in the FBMC literature, the impact of time selectivity of the channel has not received that much attention. In this paper, the effect of the two types of selectivity on a multipleinput multiple-output (MIMO) FBMC system is characterized and a parallel equalization structure that can compensate for the doubly dispersive nature of the channel is proposed. This design uses multiple analysis filterbanks (AFB) and extends previous approaches that were dealing only with channel frequency selectivity. A theoretical approximation of the remaining distortion after equalization is given. The study is performed for a general MIMO system but can also be particularized to single-input single-output (SISO) systems. Simulation results demonstrate the high efficiency of the proposed receiver structure and the accuracy of the theoretical approximations is verified.article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Scattered Pilot-Based Channel Estimation for Channel Adaptive FBMC-OQAM Systems

Cited by 48 publications

References 33 publications

Joint frequency offset, time offset, and channel estimation for OFDM/OQAM systems

Joint frequency offset, time offset, and channel estimation for OFDM/OQAM systems

A Modified Interference Approximation Scheme for Improving Preamble Based Channel Estimation Performance in FBMC System

Parallel Equalization Structure for MIMO FBMC-OQAM Systems Under Strong Time and Frequency Selectivity

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