Efficient Sequential Detection of Carrier Frequency Offset and Primary Synchronization Signal for 5G NR Systems

You, Young-Hwan; Song, Hyoung‐Kyu

doi:10.1109/tvt.2020.3003901

Cited by 21 publications

(21 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When Carrier Frequency Offsets (CFOs) exceed subcarrier spacing then an autocorrelation based algorithm is used to estimate FFOs and IFOs, which can be estimated by calculating shifts of the received synchronization signal. Authors in [16] have proposed the detection of IFO and Sector ID sequentially without prior knowledge of PSS for 5G NR. This scheme provides low complexity at the cost of slight performance degradation.…”

Section: Related Work 21 Conventional Integer Frequency Offsets (Ifos) Estimation Methodsmentioning

confidence: 99%

“…Conventional method to estimate IFO and sector ID is presented in [13] and [16] for LTE and 5G system model. In [13], Maximum Likelihood estimation method is employed to estimate IFO and to detect PSS.…”

Section: Conventional Estimation Methodsmentioning

confidence: 99%

“…In [16], sequential approach is used to estimate IFO and sector ID. In this, cross correlation is performed between received signal and summed PSS sequences.…”

Section: Conventional Estimation Methodsmentioning

confidence: 99%

See 2 more Smart Citations

A Neural Network based Integer Frequency Offset Estimation and PSS Detection in 5G NR Systems

Patel

Warhade²

2021

IJIES

View full text Add to dashboard Cite

With an increase in defined carrier frequency for the 5G new radio system, the need for synchronization also increases. The transceiver loses synchronization due to the occurrence of timing and carrier frequency offsets. Carrier frequency offsets often occur due to mismatch between transmitter and receiver oscillator frequency as well as the occurrence of doppler shifts due to transmitter/receiver movements. When frequency offsets exceed subcarrier spacing, integer frequency offset occurs that results in performance loss due to subcarrier indices shifts. Conventional approach i.e. maximum likelihood and sequential method is already employed to estimate integer frequency offset and to detect sector id. In this paper, the deep learning-based method is demonstrated to estimate the integer frequency offset and sector id detection. The neural network containing multiple convolution layers with activation layers is used to find the optimum received signal. Then, by calculating the number of cyclic shifts in the optimum received signal, the integer frequency offset is estimated. Using the corrected optimum received signal, the primary synchronization signal is also detected that gives sector id. This proposed estimator is tested for different profiles of tapped delay line models with different desired delay spread and compared with conventional methods i.e. maximum likelihood estimation method and sequential estimation method. Simulation results show that the proposed Neural Network based estimator outperforms in all delay profiles.

show abstract

Section: Related Work 21 Conventional Integer Frequency Offsets (Ifos) Estimation Methodsmentioning

confidence: 99%

Section: Conventional Estimation Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Neural Network based Integer Frequency Offset Estimation and PSS Detection in 5G NR Systems

Patel

Warhade²

2021

IJIES

View full text Add to dashboard Cite

show abstract

“…To evaluate the computational complexity of the proposed algorithm, we compare its number of complex multiplication and complex addition with it of the conventional algorithm. For a fair comparison, one complex multiplication and one complex addition are considered six and two floating point operations (flops), respectively [19]. We mainly consider the flops needed for each synchronization point…”

Section: E Computational Complexitymentioning

confidence: 99%

“…Moreover, the auto-correlation algorithm cannot get the cell ID sector (2) ID N after calculating the synchronization position. Reference [18]- [19] proposed the joint detection algorithm of PSS and integer frequency offset (IFO). Although the complexity of the proposed algorithm is reduced, it causes a certain degree of performance loss and is not robust in the case of large carrier frequency offset (CFO).…”

Section: Introductionmentioning

confidence: 99%

A Novel PSS Timing Synchronization Algorithm for Cell Search in 5G NR System

et al. 2021

View full text Add to dashboard Cite

Cell search is the first step to establish downlink synchronization between user equipment (UE) and base station (BS) in the fifth generation (5G) new radio (NR) system. However, frequency offset and noise will cause a massive loss of synchronization performance. To solve this problem, a novel timing synchronization algorithm of primary synchronization signal (PSS) with anti-frequency offset and antinoise is proposed, which includes the improved coarse synchronization algorithm based on Fourier transform and the fine synchronization algorithm based on the triple auto-correlation algorithm. The improved coarse synchronization algorithm not only has a strong frequency offset resistance, especially for large frequency offset, but also obtains the estimated frequency offset. The fine synchronization algorithm is more resistant to noise than the conventional algorithm. Finally, the algorithm analysis and simulation results show that the improved algorithm can work very well even when the normalized frequency offset increases to greater than 0.8, but the conventional algorithm fails to synchronize properly. Meanwhile, when the SNR is as low as -6dB, the detection accuracy of the timing synchronization based on the proposed fine synchronization algorithm is improved by about 31.7% compared with the conventional algorithm.

show abstract

A high‐efficiency frequency synchronization scheme for low Earth orbit satellite communications based on dynamic game theory

Liu,

Cai,

Liu

et al. 2023

Satell Commun Network

View full text Add to dashboard Cite

SummaryThe rapid development of satellite internet networks has given rise to a new vision for the sixth generation of networking technology. However, the Doppler effect is relatively serious in satellite internet networks because a satellite moves quickly relative to a ground terminal. Therefore, there is an urgent need to study intelligent and dynamic synchronization methods to solve the problem of the rapidly changing Doppler frequency offset. Traditional methods do not consider the impact of spatial changes and typically focus on enhancing the estimation range or accuracy. We analyze various scenarios under phased array beam hopping and establish constraints between the terminal location, satellite ephemeris, subsatellite point track, elevation angle, and carrier frequency offset. We introduce dynamic game theory into frequency synchronization to optimize multiple Doppler estimation performance under rapidly changing channel conditions. We take the combination of carrier frequency offset estimation algorithm strategies at the current moment as the game entity. Simulation results demonstrate that the proposed method can achieve an estimation accuracy of 100 Hz and an estimation range of ±800 kHz. During the onboard test, the probability of achieving complete synchronization (when the synchronization success rate is 1) is 0.65, which is much higher than the 0.15 of the single method.

show abstract

Efficient Sequential Detection of Carrier Frequency Offset and Primary Synchronization Signal for 5G NR Systems

Cited by 21 publications

References 12 publications

A Neural Network based Integer Frequency Offset Estimation and PSS Detection in 5G NR Systems

A Neural Network based Integer Frequency Offset Estimation and PSS Detection in 5G NR Systems

A Novel PSS Timing Synchronization Algorithm for Cell Search in 5G NR System

A high‐efficiency frequency synchronization scheme for low Earth orbit satellite communications based on dynamic game theory

Contact Info

Product

Resources

About