FBMC Channel Estimation Techniques

Kofidis, Eleftherios; Baltar, Leonardo Gomes; Mestre, Xavier; Bader, Faouzi; Savaux, Vincent

doi:10.1016/b978-0-12-810384-5.00011-6

Cited by 3 publications

(6 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More practical conditions can be found in, e.g., [76], albeit only for constant modulus signals. 7 A related upper bound on the probability of non-identifiability for the case of i.i.d. binary PSK input can be found in [23].…”

Section: Tensor-based Formulationmentioning

confidence: 99%

“…Although FBMC research has been rapidly advancing in the last decade or so, resulting in a number of well performing techniques for receiver design, blind (i.e., using no pilots) or semi-blind (i.e., with limited pilot information) FBMC methods have been very little studied so far, and mainly for the single-antenna case (see [7] and [8] for a recent review in (semi-) blind FBMC/OQAM channel estimation and equalization, respectively). With the advent of massive MIMO systems and the difficulties they imply in trainingbased estimation, semi-blind or joint channel estimation/data detection (JCD) techniques 1 are being considered as an alternative approach [10]- [12], re-surging the interest in blind source separation (BSS) for wireless communications [13].…”

mentioning

confidence: 99%

See 1 more Smart Citation

A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

Kofidis

2019

Preprint

Self Cite

View full text Add to dashboard Cite

Filter bank-based multicarrier (FBMC) systems have attracted increasing attention recently in view of their many advantages over the classical cyclic prefix (CP)-based orthogonal frequency division multiplexing (CP-OFDM) modulation. However, their more advanced structure (resulting in, for example, self interference) 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 receivers, of increasing interest in (massive) MIMO systems, have been little studied so far for FBMC and mainly for the single-antenna case only. The design of such receivers for flexible MIMO FBMC systems, unifying a number of existing FBMC schemes, is considered in this paper through a tensorbased approach, which is shown to encompass existing joint channel estimation and data detection approaches as special cases, adding to their understanding and paving the way to further developments. Simulation-based results are included, for realistic transmission models, demonstrating the estimation and detection performance gains from the adoption of these receivers over their training only-based counterparts. I. INTRODUCTIONF ILTER bank-based multicarrier (FBMC) systems [1] have recently attracted increasing attention as a competent alternative to the classical cyclic prefix (CP)-based orthogonal frequency division multiplexing (CP-OFDM) modulation, in a wide range of applications, including both wireless (e.g., ad-hoc public safety) and wired (e.g., fiber optics) communications [2]. The potential of FBMC transmission stems from its increased ability to carrying a flexible spectrum shaping, along with a major increase in spectral efficiency and robustness to synchronization requirements, features of fundamental importance in modern and future networks. However, its more advanced structure (resulting in, for example, self interference) complicates signal processing tasks at the receiver, including synchronization, channel estimation and equalization [2]. In a multiple-input multiple-output (MIMO) configuration, the multi-antenna interference has also to be taken into account, which can be a challenge in, for example, offset quadrature amplitude modulation (OQAM)-based FBMC [3]. Nevertheless FBMC(/OQAM) is being also considered for massive MIMO systems [4], [5] and has also shown its potential in the envisaged millimeter wave (mmWave) communications [6].

show abstract

Section: Tensor-based Formulationmentioning

confidence: 99%

mentioning

confidence: 99%

A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

Kofidis

2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Accurate and efficient channel estimation (CE) is an essential part of the successful operation of FBMC-OQAM. A substantial amount of recent research work has concentrated on the problem of preamble-based channel estimation in FBMC-OQAM [2], which is complicated due to the intrinsic imaginary interference (ICI/ISI) experienced by transmitted symbols. The most widely established CE techniques for FBMC-OQAM follow a virtual symbol based approach, namely the interference approximation method (IAM) [3] and the interference cancellation method (ICM) [4].…”

Section: Introductionmentioning

confidence: 99%

“…We also propose a novel channel estimation technique based on the application of generalized least squares (GLS) estimation [7], [8] which is capable of taking into account the statistical properties of the interference and noise. It is shown that GLSbased CE method has almost 3dB improvement in the CE-MSE floor with respect to conventional VS-based schemes, i.e., IAM-R, IAM-C [2] and ICM. We also show that for higherorder modulation, such lowering of the MSE floor can bring significant improvement in the system BER.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generalized Least Squares Based Channel Estimation for High Data Rate FBMC-OQAM

Singh

Flanagan

Cardiff

2018

2018 25th International Conference on Telecommunications (ICT)

View full text Add to dashboard Cite

Publisher IEEELink to online version https://u-bretagneloire.fr/ict-2018-25th-international-conference-telecommunication Item record/more information http://hdl.handle.net/10197/11133 Publisher's statementAbstract-This paper addresses the problem of preamble-based Channel Estimation (CE) in filter bank multi-carrier systems with offset quadrature amplitude modulation (FBMC-OQAM), a task that is problematic due to the presence of intrinsic Inter-Carrier Interference (ICI) and Inter-Symbol Interference (ISI). In this work, we present a theoretical analysis of the Mean Squared Error (MSE) of several CE schemes based on the virtual symbol (VS) approach such as the Interference Cancellation Method (ICM) and the Interference Approximation Method (IAM). We also propose and analyze a generalized least squares (GLS) based CE scheme which is capable of achieving improved performance by taking into account the correlation properties of the noise and interference among sub-carriers. Simulation results are presented which verify the accuracy of the theoretical analysis, and also demonstrate that the proposed GLS-based estimation method yields an improvement of almost 3dB in the CE-MSE with respect to the VS-based approach. Finally it is shown that, for higherorder modulation schemes, this CE-MSE reduction translates into significant improvement in the system's overall bit error rate (BER) performance with only minor additional complexity.

show abstract