Novel Blind CFO Estimation Method for OFDM/OQAM System

Besseghier, Mokhtar; Djebbar, Ahmed

doi:10.1109/lcomm.2020.2984480

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…In AmBC systems, the unknown nature of the RF source poses a unique challenge. Blind CFO estimation methods, such as those leveraging the orthogonality among subcarriers or the second-order statistics of demodulated data, present viable solutions [52], [53]. Differential estimation, which capitalizes on phase differences between consecutive symbols, offers a pilot-free approach, though it may be less effective in noisy environments [54].…”

Section: ) Signal Detectionmentioning

confidence: 99%

Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends

Zargari,

Hakimi,

Rezaei

et al. 2023

IEEE Access

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Internet-of-Things (IoT) is rapidly growing in wireless technology, aiming to connect vast numbers of devices to gather and distribute vital information. Despite individual devices having low energy consumption, the cumulative demand results in significant energy usage. Consequently, the concept of ultra-low-power tags gains appeal. Such tags communicate by reflecting rather than generating the radio frequency (RF) signals by themselves. Thus, these backscatter tags can be low-cost and battery-free. The RF signals can be ambient sources such as wireless-fidelity (Wi-Fi), cellular, or television (TV) signals, or the system can generate them externally. Backscatter channel characteristics are different from conventional point-to-point or cooperative relay channels. These systems are also affected by a strong interference link between the RF source and the tag besides the direct and backscattering links, making signal detection challenging. This paper provides an overview of the fundamentals, challenges, and ongoing research in signal detection for AmBC networks. It delves into various detection methods, discussing their advantages and drawbacks. The paper's emphasis on signal detection sets it apart and positions it as a valuable resource for IoT and wireless communication professionals and researchers.

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Section: ) Signal Detectionmentioning

confidence: 99%

Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends

Zargari,

Hakimi,

Rezaei

et al. 2023

IEEE Access

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“…Once the frequency-domain signal is obtained, we deinterleave the frequency-domain signal in (12) to obtain y c , where y c has the H-OFDM-IM symbol structure given in Figure 1. At this stage, we rely on the low-complexity ML detector in Basar et al 24 to detect all inactive data tones in the signal.…”

Section: Fine Cfo Estimator For H-ofdm-immentioning

confidence: 99%

“…Several blind CFO estimation algorithms are given in previous studies. 5,[9][10][11][12] Although blind CFO estimation techniques do not decrease the spectral efficiency of a given system, they suffer from imprecise CFO estimations. In Mokhtar et al, 13 a semiblind CFO estimation technique is considered, which utilizes zero pilots.…”

Section: Introductionmentioning

confidence: 99%

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A novel orthogonal frequency division multiplexing with index modulation waveform with carrier frequency offset resistance and low peak‐to‐average power ratio

Gurol

Başar

Kucukyavuz

et al. 2022

Int J Communication

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Summary In this paper, we propose a novel orthogonal frequency division multiplexing (OFDM) scheme with high carrier frequency offset (CFO) resistance and low peak‐to‐average power ratio (PAPR). In this scheme, we consider a hybrid model with two subblock types, namely, pilot subblocks and standard subblocks. In pilot subblocks, active subcarriers are utilized for PAPR reduction while inactive carriers generated by the index modulation (IM) are utilized for the coarse CFO estimation. For standard subblocks, we consider unique subcarrier activation patterns (SAPs) with high‐diversity IM to enhance the bit error performance of the overall system. Additionally, the inactive data tones in standard subblocks are utilized for fine CFO estimation, which enhances the CFO estimation quite significantly. Furthermore, in this paper, we show that proposed hybrid OFDM‐IM (H‐OFDM‐IM) scheme can outperform conventional OFDM‐IM and classical OFDM both in CFO estimation and PAPR reduction without requiring transmission of any side information. Finally, we show both mathematically and through computer simulations that proposed H‐OFDM‐IM can achieve a satisfactory bit error rate (BER) performance under high CFO scenarios.

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“…Next, since the OFDM/OQAM signal resulted in a non-circular process, the generalized PDF of non-circular complex Gaussian random vectors is exploited to develop the estimator. In addition, authors in [275] propose a blind CFO estimator for OFDM/OQAM systems by utilizing the header structure of the transmitted signal and the orthogonality among subcarriers.…”

Section: ) Single-user Ofdm Systemsmentioning

confidence: 99%

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Mohammadian

Tellambura

2021

IEEE Access

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Wireless transceivers for mass-market applications must be cost effective. We may achieve this goal by deploying non-ideal low-cost radio frequency (RF) analog components. However, their imperfections may result in RF impairments, including phase noise (PN), carrier frequency offset (CFO), and in-phase (I) and quadrature-phase (Q) imbalance. These impairments introduce in-band and out-of-band interference terms and degrade the performance of wireless systems. In this survey, we present RF-impairment signal models and discuss their impacts. Moreover, we review RF-impairment estimation and compensation in singlecarrier (SC) and multicarrier systems, especially orthogonal frequency division multiplexing (OFDM). Furthermore, we discuss the effects of the RF impairments in already-established wireless technologies, e.g., multiple-input multiple-output (MIMO), massive MIMO, full-duplex, and millimeter-wave communications and review existing estimation and compensation algorithms. Finally, future research directions investigate the RF impairments in emerging technologies, including cell-free massive MIMO communications, nonorthogonal multicarrier systems, non-orthogonal multiple access (NOMA), ambient backscatter communications, and intelligent reflecting surface (IRS)-assisted communications. Furthermore, we discuss artificial intelligence (AI) approaches for developing estimation and compensation algorithms for RF impairments.

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Novel Blind CFO Estimation Method for OFDM/OQAM System

Cited by 9 publications

References 12 publications

Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends

Signal Detection in Ambient Backscatter Systems: Fundamentals, Methods, and Trends

A novel orthogonal frequency division multiplexing with index modulation waveform with carrier frequency offset resistance and low peak‐to‐average power ratio

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

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