On optimal multi-symbol preambles for highly frequency selective FBMC/OQAM channel estimation

Kofidis, Eleftherios

doi:10.1109/iswcs.2015.7454406

Cited by 11 publications

(6 citation statements)

References 18 publications

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“…Its off-diagonal blocks have a so-called alternating circulant structure (cf. [95] and references therein).…”

Section: Appendix C Channel Estimation and Data Detection With Colore...mentioning

confidence: 99%

“…It must be emphasized here that, despite the rich structure of the matrix B, namely block tridiagonal 18 , block Toeplitz, Hermitian, with structured (banded circulant) blocks, its inversion is far from being an easy problem in general and asks for specialized algorithmic solutions, particularly in view of its large scale in practice (see, e.g., [96] and references therein). Notably, the square-root factorization of the FBMC/OQAM matrix BS for the small case of N = 2 was recently developed in [95] and proved to be far from being straightforward.…”

Section: Appendix C Channel Estimation and Data Detection With Colore...mentioning

confidence: 99%

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

Kofidis

2019

Preprint

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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].

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“…Its off-diagonal blocks have a so-called alternating circulant structure (cf. [95] and references therein).…”

Section: Appendix C Channel Estimation and Data Detection With Colore...mentioning

confidence: 99%

Section: Appendix C Channel Estimation and Data Detection With Colore...mentioning

confidence: 99%

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

Kofidis

2019

Preprint

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“…being the (normalized) covariance matrix of the FBMC noise in the frequency direction, and the M × M blocks SA + and SA − = (SA + ) H standing for the noise correlation in the positive and negative time directions, respectively [27]. The M × M matrices S and A ± are given by [27] S = diag(1, −1, 1, −1, . .…”

Section: Appendix Colored Noise Considerationsmentioning

confidence: 99%

“…Another important difference with the corresponding OFDM problem is that the noise at the AFB output is colored and hence the cost function in (9) should be modified accordingly to a weighted LS one. Indeed the noise tensor is correlated in two of its three dimensions (time and frequency, not space) with corresponding covariances that can be a-priori known and only depend on the constants β, γ, δ (see [27] for details). Thus, appropriately modified ALS algorithms can be employed instead (see, e.g., [11], [47], [50], [64]).…”

Section: A An Als View Of the Joint Channel Estimation / Data Detecti...mentioning

confidence: 99%

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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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FBMC Channel Estimation Techniques

Kofidis

Baltar

Mestre

et al. 2017

Orthogonal Waveforms and Filter Banks for Future Communication Systems

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On optimal multi-symbol preambles for highly frequency selective FBMC/OQAM channel estimation

Cited by 11 publications

References 18 publications

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

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

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

FBMC Channel Estimation Techniques

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