Channel estimation in filter bank-based multicarrier systems: Challenges and solutions

Kofidis, Eleftherios

doi:10.1109/isccsp.2014.6877911

Cited by 21 publications

(12 citation statements)

References 18 publications

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“…This is a typical effect of the residual intrinsic interference which comes from the invalidation of model (2) and shows up in the absence of strong noise [29]. These error floors are more severe for more frequency selective channels [26], as shown in the example of VehB channels of length L h = 18 depicted in Fig. 2.…”

Section: Numerical Examplesmentioning

confidence: 93%

Joint channel estimation / data detection in MIMO-FBMC/OQAM systems — A tensor-based approach

Kofidis

Chatzichristos

Almeida

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-Filter bank-based multicarrier (FBMC) systems are currently being considered as a prevalent candidate for replacing the long established cyclic prefix (CP)-based orthogonal frequency division multiplexing (CP-OFDM) in the physical layer of next generation communications systems. In particular, FBMC/OQAM has received increasing attention due to, among other features, its potential for maximum spectral efficiency. It suffers, however, from an intrinsic self-interference effect, which complicates signal processing tasks at the receiver, including synchronization, channel estimation and equalization. In a multiple-input multiple-output (MIMO) configuration, the multi-antenna interference has also to be taken into account. (Semi-)blind FBMC/OQAM receivers have been little studied so far and mainly for single-antenna systems. The problem of joint channel estimation and data detection in a MIMO-FBMC/OQAM system, given limited or no training information, is studied in this paper through a tensor-based approach in the light of the success of such techniques in OFDM applications. Simulationbased comparisons with CP-OFDM are included, for realistic transmission models.

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Section: Numerical Examplesmentioning

confidence: 93%

Joint channel estimation / data detection in MIMO-FBMC/OQAM systems — A tensor-based approach

Kofidis

Chatzichristos

Almeida

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…A recent review was given in [109], however only covering the SISO case. The MIMO case was reviewed in [108], where the focus was on preamble-based methods.…”

Section: Channel Estimation In Mimo-fbmc/oqam Systemsmentioning

confidence: 99%

“…Section II) in its simpler form corresponding to the channel 2 One guard FBMC/OQAM symbol is not always sufficient and nonnegligible interference may still exist. Efficiently addressing the problem of the data interfering with the preamble is a crucial question that is still under investigation (see, e.g., [109]). Important related contributions include the memory preloading technique for transmitting/receiving a periodic preamble [111] and SISO channel estimation methods that are based on some iterative joint estimation/detection procedure for handling the unknown interference (cf.…”

Section: B Low Frequency Selective Channelsmentioning

confidence: 99%

“…In the last few years, there has been a significant progress towards the development of methods that are more robust to channel frequency selectivity (model 1)) but these only apply in SISO systems (cf. [109] for a review). The corresponding MIMO problem was only recently studied in [131], [132], through an extension to the MIMO setup of the results of [133].…”

Section: Highly Frequency Selective Channelsmentioning

confidence: 99%

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MIMO Signal Processing in Offset-QAM Based Filter Bank Multicarrier Systems

Pérez-Neira

Caus

Zakaria

et al. 2016

IEEE Trans. Signal Process.

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106

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“…Due to the OQAM modulation and the MIMO scenario, the pilot symbols may be impacted by ISI, ICI and interantenna interference. Many works in the literature have looked at this issue, see [32] for a general review or [33], [34] for more recent works on the challenges and solutions in pilotaided channel estimation for FBMC-OQAM systems.…”

Section: B Channel Model and Prototype Pulsesmentioning

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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Channel estimation in filter bank-based multicarrier systems: Challenges and solutions

Cited by 21 publications

References 18 publications

Joint channel estimation / data detection in MIMO-FBMC/OQAM systems — A tensor-based approach

Joint channel estimation / data detection in MIMO-FBMC/OQAM systems — A tensor-based approach

MIMO Signal Processing in Offset-QAM Based Filter Bank Multicarrier Systems

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

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