Blind joint estimation of carrier frequency offset and I/Q imbalance in OFDM systems

Xu, Weiyang; Wang, Yuqing; Hu, Xingbo

doi:10.1016/j.sigpro.2014.08.015

Cited by 10 publications

(3 citation statements)

References 17 publications

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“…In 2015, Xu et al (2015b) had established a new approach based on a blind estimator of CFO and I/Q imbalance in OFDM system that does not necessitate any previous acquaintance of channel side information or training symbols. The most important reason behind this approach was the null sub-carriers that were generally found in numerous OFDM systems.…”

Section: Literature Review 21 Related Workmentioning

confidence: 99%

“…The non-data aided (NDA) method, which was a feasible and effective model, was exploited in Liu et al (2018), and it offered reduced noise effects, but the increase in normalized doppler shift affected the performance. In addition, DFT was deployed in Xu et al (2015b) and provided reduced complexity and offered a precise estimation of CFO. However, it required more contemplation on error constraints.…”

Section: Reviewmentioning

confidence: 99%

“…Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) has been adopted by several wireless communication systems owing to its increased spectral robustness and effectiveness to multipath fading. Orthogonal frequency-division multiplexing (OFDM)-dependent systems ( (Jose, 2017;Liu et al, 2018;Xu et al, 2015b)) are vulnerable to performance deprivation owing to impairments such as carrier frequency offset (CFO; Daoqi et al, 2016;Abdzadeh-Ziabari et al, 2018). Currently, the estimation of CFO is exploited to minimize the effect of frequency offset.…”

Section: Introductionmentioning

confidence: 99%

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Self-improved grey wolf optimization for estimating carrier frequency offset in SCM-OFDM systems

Rashmi

Sarvagya

2020

IJPCC

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Purpose The purpose of this paper is to demonstrate a proficiency for accomplishing optimal CFO and keep down the error among the received and transmitted signal. Orthogonal frequency-division multiplexing (OFDM) is considered as an attractive modulation scheme that could be adopted in wireless communication systems owing to its reliability in opposition to multipath interruptions under different subchannels. Carrier frequency offset (CFO) establishes inter-carrier interference that devastates the orthogonality between the subcarriers and fluctuates the preferred signal and minimizes the effectual signal-to-noise ratio (SNR). This results in corrupted system performance. For sustaining the subcarriers’ orthogonality, timing errors and CFOs have to be approximated and sufficiently compensated for. Single carrier modulation (SCM) is a major feature for efficient OFDM system. Design/methodology/approach This paper introduces a novel superposition coded modulation-orthogonal frequency-division multiplexing (SCM-OFDM) system with optimal CFO estimation using advanced optimization algorithm. The effectiveness of SCM-OFDM is validated by correlating the transmitted and received signal. Hence, the primary objective of the current research work is to reduce the error among the transmitted and received signal. The received signal involves CFO, which has to be tuned properly to get the signal as closest as possible with transmitted signal. The optimization or tuning of CFO is done by improved grey wolf optimization (GWO) called GWO with self-adaptiveness (GWO-SA). Further, it carries the performance comparison of proposed model with state-of-the-art models with the analysis on bit error rate (BER) and mean square error (MSE), thus validating the system’s performance. Findings From the analysis, BER of the proposed and conventional schemes for CFO at 0.25 was determined, where the adopted scheme at 10th SNR was 99.6 per cent better than maximum likelihood, 99.6 per cent better than least mean square (LMS), 99.3 per cent better than particle swarm optimization (PSO), 75 per cent better than genetic algorithm (GA) and 25 per cent better than GWO algorithms. Moreover, MSE at 1st SNR, the proposed GWO-SA scheme, is 4.62 per cent better than LMS, 60.1 per cent better than PSO, 37.82 better than GA and 67.85 per cent better than GWO algorithms. Hence, it is confirmed that the performance of SCM-OFDM system with GWO-SA-based CFO estimation outperformed the state-of-the-art techniques. Originality/value This paper presents a technique for attaining optimal CFO and to minimize the error among the received and transmitted signal. This is the first work that uses GWO-SA for attaining optimal CFO.

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Section: Literature Review 21 Related Workmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%