A Proposed Chirp Synchronisation Algorithm Based on the Fractional Fourier Transform for Underwater Acoustic Communication

Sidorkina, Yu. A.; Dyabirov, R. M.; Шахтарин, Б. И.; Bychkov, A. V.

doi:10.1109/synchroinfo.2019.8814166

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…The preamble with a hyperbolic frequency modulation (HFM) signal is used for timing position and Doppler factor estimation [65]. By applying a fractional Fourier transform to the preamble containing a chirp signal, the authors [66] proposed that the time and frequency synchronisation for the signal is the UWA channel. A method of matched filter banks along with weighted summation and adjacent peaks algorithms is used for Doppler scale estimation of OFDM signals in UWA channels [67].…”

Section: A Related Workmentioning

confidence: 99%

Frame Boundary Detection and Deep Learning-Based Doppler Shift Estimation for FBMC/OQAM Communication System in Underwater Acoustic Channels

Kotipalli¹,

Mohanraju²,

Vardhanapu³

2022

IEEE Access

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Underwater acoustic (UWA) communication is the only option for underwater long-distance wireless communication. However, its data rate is very low, in tens of kbps, and the time-varying nature of the UWA channel exhibits a Doppler effect. The data rate can be increased using a multicarrier technique, such as Filter Bank Multicarrier (FBMC). The FBMC-OQAM system does not require a cyclic prefix (CP) to eliminate intersymbol interference (ISI). Therefore, compared to other multicarrier techniques, the FBMC-OQAM system achieves the maximum spectral efficiency. Despite the well-designed filter, synchronisation errors cause performance degradation in the FBMC-OQAM system. In this paper, we propose frame boundary and Doppler frequency estimation methods for the FBMC-OQAM system under UWA channels.In this study, we propose a preamble-based frame boundary. The conjugate symmetry property is used in the frame boundary estimation. The performance of the proposed technique was studied under different UWA channels with different Doppler scale. The proposed time synchronisation technique yielded multiple peaks under UWA channels. A method for identifying the peak that represents the frame boundary is proposed. We compared the performance of proposed timing metric with Schmidl & Cox timing metric and Reddy"s timing metric. The proposed timing metric exhibited superior performance over existing techniques. In addition, we propose a convolutional neural network (CNN)-based Doppler scale estimation method. The proposed technique was shown to estimate a wide range of Doppler scale factors. The performance of the proposed technique was studied by considering different UWA channels at different SNRs. The proposed CNN architecture is analysed by changing the CNN parameters. Stacked autoencoders were adopted for Doppler scale estimation and the performance of the proposed CNN-based Doppler scale estimation method was compared with the stacked autoencoders based Doppler scale estimation method. Simulation results show that the proposed CNN-based Doppler Scale estimator exhibits good performance in UWA channels at different SNRs and Doppler scale factors.

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Section: A Related Workmentioning

confidence: 99%

Frame Boundary Detection and Deep Learning-Based Doppler Shift Estimation for FBMC/OQAM Communication System in Underwater Acoustic Channels

Kotipalli¹,

Mohanraju²,

Vardhanapu³

2022

IEEE Access

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“…The simulation results show that D-Sync is superior to existing methods for accuracy and energy consumption. Sidorkina et al [ 47 ] presented a synchronization algorithm using the fractional Fourier transform (FrFT) in UANs. The simulation shows the synchronization possibility under different Doppler factors.…”

Section: Related Workmentioning

confidence: 99%

PCDE-Sync: A Time Synchronization Mechanism Based on Partial Clustering and the Doppler Effect for Underwater Acoustic Networks

Wang

Feng

et al. 2022

Computational Intelligence and Neuroscience

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Time synchronization is the basis of coordination and cooperation in underwater acoustic networks. However, because of the propagation delay, node mobility, and Doppler shift, it is impossible to balance the accuracy and energy consumption simply in water. As a promising technology, partial clustering has high convergence and makes breakthroughs in time synchronization. This paper proposes PCDE-Sync, a novel synchronization mechanism with partial clustering and the Doppler effect. Firstly, a clustering method built on the artificial fish swarm algorithm is presented. It models the cluster construction according to fish's preying, swarming, and following behaviors. Secondly, we design a synchronization mechanism to conduct clock correction and compensation by the Doppler effect. Finally, we compare the performance of PCDE-Sync with the most advanced protocols, namely MU-Sync, MM-Sync, and DE-Sync, in terms of the cumulative error after synchronization, the mean square error under different clock skew and that under distinctive node mobility, and energy consumption. The experimental results show that PCDE-Sync makes a trade-off between accuracy and complexity, which does well in solving synchronization issues.

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Time-Varying Channel and Intrablock Carrier Frequency Offset Estimation for OFDM Underwater Acoustic Communication

Wang,

Jiang,

et al. 2024

IEEE Sensors J.

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A Proposed Chirp Synchronisation Algorithm Based on the Fractional Fourier Transform for Underwater Acoustic Communication

Cited by 6 publications

References 10 publications

Frame Boundary Detection and Deep Learning-Based Doppler Shift Estimation for FBMC/OQAM Communication System in Underwater Acoustic Channels

Frame Boundary Detection and Deep Learning-Based Doppler Shift Estimation for FBMC/OQAM Communication System in Underwater Acoustic Channels

PCDE-Sync: A Time Synchronization Mechanism Based on Partial Clustering and the Doppler Effect for Underwater Acoustic Networks

Time-Varying Channel and Intrablock Carrier Frequency Offset Estimation for OFDM Underwater Acoustic Communication

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