Unified Framework for the Synchronization of Flexible Multicarrier Communication Signals

López-Salcedo, José A.; Gutierrez, Esteban; Swindlehurst, A. Lee

doi:10.1109/tsp.2012.2229997

Cited by 24 publications

(32 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(73) in [1]) agrees with the estimator from [2] for low SNR and the CML STO estimator (eq. (63) in [1]) agrees with the estimator from [2] for high SNR.…”

Section: Introductionsupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

“…Much research has focused on blindly estimating the time and frequency offsets for OFDM, thus preserving high bandwidth efficiency (see [1] for a comprehensive survey). The most widely adopted symbol time offset (STO) estimator is given by [2], however it requires a-priori knowledge of the signal-tonoise ratio (SNR) [1]. In [1], two comparable STO estimators are derived that are simpler in complexity: the low-SNR unconditional maximum likelihood (UML) and the conditional maximum likelihood (CML) estimator.…”

Section: Introductionmentioning

confidence: 99%

“…The most widely adopted symbol time offset (STO) estimator is given by [2], however it requires a-priori knowledge of the signal-tonoise ratio (SNR) [1]. In [1], two comparable STO estimators are derived that are simpler in complexity: the low-SNR unconditional maximum likelihood (UML) and the conditional maximum likelihood (CML) estimator. The UML STO estimator (eq.…”

Section: Introductionmentioning

confidence: 99%

“…A shortcoming of the analysis in [1] is that the performance of the two STO estimators is evaluated solely based on the variance of the STO estimate. However, the mutual orthogonality of the OFDM subcarriers is preserved only if the estimated timing error lies in the lock-in region.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Increasing the lock-in probability of blind symbol time offset estimators in OFDM systems

Ramlall¹

2015

2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

View full text Add to dashboard Cite

Abstract-For orthogonal frequency division multiplexing (OFDM) receivers, the mutual orthogonality of the subcarriers is preserved only if the estimated symbol timing error lies in the lock-in region. Conventionally, a bias is added to the coarse symbol time offset (STO) estimate to move the symbol timing error into the lock-in region, thus increasing the lock-in probability. Upon review of the literature, no analysis has been provided on determining which bias values can improve the lockin probability. This paper is the first to investigate adding a bias to blind coarse STO estimators, and analyze its performance in terms of the lock-in probability. It will be shown that the optimal value of the bias term is dependent on the channel, which is not ideal for blind estimators. Hence, an upper bound on the optimal value is derived that is valid for all channels, and then the bound is made tighter for realistic wireless communication channels. It is shown that these bounds are dependent solely on the length of the cyclic prefix, thus the coarse STO estimators remain blind.

show abstract

“…(73) in [1]) agrees with the estimator from [2] for low SNR and the CML STO estimator (eq. (63) in [1]) agrees with the estimator from [2] for high SNR.…”

Section: Introductionsupporting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Increasing the lock-in probability of blind symbol time offset estimators in OFDM systems

Ramlall¹

2015

2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC)

View full text Add to dashboard Cite

show abstract

Filtered Multicarrier Transmission

2020

View full text Add to dashboard Cite

Orthogonal frequency‐division multiplexing (OFDM) has been adopted as the waveform of choice in the existing and emerging broadband wireless communication systems for a number of advantages it can offer. Nevertheless, investigations of more advanced multicarrier transmission schemes have continued with the aim of eliminating or mitigating its essential limitations. This article discusses multicarrier schemes with enhanced spectrum localization, which manage to reduce the spectral sidelobes of plain OFDM that are problematic in various advanced communication scenarios. These include schemes for enhancing the OFDM waveform characteristics through additional signal processing as well as filter‐bank multicarrier (FBMC) waveforms utilizing frequency‐selective filter banks instead of plain (inverse) discrete Fourier transform processing for waveform generation and demodulation.

show abstract

Computationally effective sampling frequency‐offset estimation for OFDM‐based LTE downlink systems

You

Shin

Song

et al. 2014

Trans. Emerging Tel. Tech.

View full text Add to dashboard Cite

In this paper, we present a low‐complexity sampling frequency‐offset (SFO) estimation scheme suitable for the 3GPP long‐term evolution (LTE) downlink system. First, a novel SFO estimation method for a pilot‐aided orthogonal frequency division multiplexing system is proposed providing a good performance with reduced complexity. To achieve low complexity, the proposed estimation scheme uses a central conjugate‐symmetric primary synchronisation signal specified in the LTE standard, which eases the SFO estimation at the receiver. For performance evaluation, we derive the mean square error expression of the proposed frequency estimation scheme. Simulations show that the proposed frequency estimation scheme can detect the SFO with higher accuracy and much lower complexity, compared with the conventional estimation schemes. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Unified Framework for the Synchronization of Flexible Multicarrier Communication Signals

Cited by 24 publications

References 26 publications

Increasing the lock-in probability of blind symbol time offset estimators in OFDM systems

Increasing the lock-in probability of blind symbol time offset estimators in OFDM systems

Filtered Multicarrier Transmission

Computationally effective sampling frequency‐offset estimation for OFDM‐based LTE downlink systems

Contact Info

Product

Resources

About