CFO and channel estimation for MISO-OFDM systems

Ladaycia, Abdelhamid; Abed-Meraim, Karim; Bader, Ahmed; Alouini, Mohamed‐Slim

doi:10.23919/eusipco.2017.8081665

Cited by 4 publications

(4 citation statements)

References 7 publications

(9 reference statements)

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“…Perfect frequency synchronization was assumed (although the analysis did not exclude the presence of a CFO), both for the sake of simplicity and because of the difficulties in CFO estimation that a frequency-domain approach like the one followed in this paper entails in contrast to the time-domain approach taken in other, MIMO-OFDM related works, such as, for example, [23], [84]. 13 As seen in ( 19), a time-varying effective (or global [85]) channel results in the presence of a frequency offset, suggesting the adoption of adaptive techniques (e.g., [85]) in general. An effective channel that is still time-invariant results if the CFO factor in ( 19) is approximated as having a fixed q = L g /2 based on the fact that usually both the Tx and Rx pulses peak at that time point [86].…”

Section: Discussionmentioning

confidence: 99%

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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Section: Discussionmentioning

confidence: 99%

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

Kofidis

2019

Preprint

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“…The four-channel output signal containing noise is processed by FFT operation to obtain the amplitude value of the output signal. Finally, the relative positions xj , ŷj and actual positions x j , y j of different spot positions are calculated according to Equations ( 17) and (20).…”

Section: Separate Direct Currentmentioning

confidence: 99%

“…It has high spectrum utilization and can use a fast discrete Fourier inverse/forward transform (IFFT/FFT) algorithm to realize signal modulation and demodulation. It has been widely used in space laser communication systems [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Research on Quadrant Detector Multi-Spot Position Detection Based on Orthogonal Frequency Division Multiplexing

Ye,

Yu,

Lin

et al. 2023

Applied Sciences

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Free space optical communication is developing towards laser communication networking. A novel method of quadrant detector (QD) multi-spot position detection based on orthogonal frequency division multiplexing (OFDM) is proposed for multi-spot laser communication systems. The mathematical model is constructed, and the Monte Carlo method is used to validate it. The position calculation of three beams incident on QD is simulated. The influence of key parameters on the accuracy of position detection is analyzed when the spots are at the same position and a different position. The results show that when the SNR of the system is 31.74 dB, the radius of the Gauss spot is 2 mm, the number of FFT (fast Fourier transform) points is 1024, and the center of the multi-spot is at the same position of the detector target; the accuracy of signal position detection calculated by the equation is 1.433 μm, and the simulation results are 1.351 μm, 1.354 μm, and 1.389 μm, respectively. When the center position of the multi-spot is at different positions of the detector target, the detection accuracy calculated by the formula is 1.438 μm, 1.433 μm, and 1.434 μm, respectively, and the simulation results are 1.419 μm, 1.387 μm, and 1.346 μm, respectively. The experimental results verify the effectiveness of the proposed multi-target simultaneous detection method. This article proposes a new multi-spot position detection method which can not only achieve one-to-multiple node laser communication but also improve the accuracy of point position detection.

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“…This is due to the frequency diversity introduced by multiple channels. OFDM does have some drawbacks, for instance frequency and timing estimation are critical for accurate symbol estimation and the high peak to average power ratio (PAPR) of the OFDM waveform needs to be compensated for at the receiver (Ladaycia et al, 2017). Figure 1 shows the architecture of the OFDM system.…”

Section: Ofdm System Modelmentioning

confidence: 99%

Comparing Performance of OFDM based V2V System in Rayleigh and Weibull Fading Channels

TURELI¹,

QASSAB²

2022

EPSTEM

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CFO and channel estimation for MISO-OFDM systems

Cited by 4 publications

References 7 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

Research on Quadrant Detector Multi-Spot Position Detection Based on Orthogonal Frequency Division Multiplexing

Comparing Performance of OFDM based V2V System in Rayleigh and Weibull Fading Channels

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