Channel Estimation Based Equalizer for Underwater Acoustic Multiple-Input-Multiple-Output Communication

Zhou, Yuehai; Tong, Feng

doi:10.1109/access.2019.2921596

Cited by 13 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We analyze the performance of our algorithms in numerical simulations and demonstrate its practicality in a designated sea experiment. Compared to our previous approach in [34], and to the successive IC benchmark scheme [24], the results show that our proposed methods obtains higher output SNR for both the jammed and jamming signals. The contribution of this paper is thus threefold: 1) We derive filter coefficients for CE-DFE specifically tailored to cancel to interference affecting mutiple channel taps as in the underwater channel.…”

Section: Introductionmentioning

confidence: 80%

“…Different than what we presented in [34] for underwater acoustic MIMO communication, in this work we focus on the suppression of both strong interference (for the far node decoding branch) and weak interference (for the close node decoding branch). Further, unlike [34], here we also focus on the cancelling of interference during channel estimation. In contrast to current approaches that perform interference cancellation (IC) successively, our approach performs the decoding in parallel.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Parallel Decoding Approach for Mitigating Near–Far Interference in Internet of Underwater Things

Zhou

Diamant

2020

IEEE Internet Things J.

Self Cite

View full text Add to dashboard Cite

With the massive development of underwater small robotic vehicles and matching acoustic modems, applications for Internet of Underwater Things (IoUT) are emerging. IoUT involves communication between non-synchronized network nodes organized in a mesh. A limiting factor of such communication is the so-called near-far effect, where transmissions from a node (near) close to a common receiver blocks the transmissions of a farther node (far). Due to the high-power attenuation in the underwater acoustic channel, near-far is common in underwater acoustic communication networks, and the phenomena occurs even for a distance ratio of 80% between the near and far nodes to the receiver, and the large number of nodes in IoUT compounds the effect of this phenomena. While current approaches only consider the jamming effect to the far signal, in this paper, we consider cancelling the interference from both sources by estimating and equalizing the channels on parallel, thereby significantly improving the decoding of both signals. As a result, the IoUT can function much better. To limit mutual interference, we propose an automatic switching mechanism that controls the cancellation operation both in channel estimation and channel equalization. Simulation results show that our approach obtains significant improvement for communication from both near and far nodes. Results from a designated sea trial demonstrate that when both nodes are affected by their mutual transmissions, our proposed method improves the output signal-to-noise ratio (SNR) significantly.

show abstract

Section: Introductionmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

A Parallel Decoding Approach for Mitigating Near–Far Interference in Internet of Underwater Things

Zhou

Diamant

2020

IEEE Internet Things J.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Using ( 5) in (15) and after some mathematical manipulations,ỹ k (t) can be rewritten as presented in Equation (16).…”

Section: Out-of-band Emissionsmentioning

confidence: 99%

“…Studies that can be found in the literature about acoustic modems include: Location algorithms [14,15], channel estimation [16,17], performance analysis [18,19], and implementation techniques [20,21]. At this point, it is important to note that most of these and other studies [22,23] consider the use of the Orthogonal Frequency Division Multiplexing (OFDM) as the main waveform for transmitting the information.…”

Section: Introductionmentioning

confidence: 99%

Analytical Performance Evaluation of GFDM in Underwater Acoustic Communication Systems

Hilario-Tacuri

Soncco

Donaires

et al. 2021

Rev.Fac.Ing.Univ.Antioquia

View full text Add to dashboard Cite

The rapid growth of the Internet of Things (IoT) has extended its concept to underwater environments. However, the implementation of these systems via wired communication still represents a technological challenge, mainly due to the high cost of their deployment. Therefore, wireless communications are seen as an interesting solution for the deployment of underwater communications systems. Preliminary research indicated that underwater acoustic wireless communication could be used for some Internet of Underwater Things applications, mainly due to the wide range of communications involved. However, a significant disadvantage of acoustic systems is their low transmission data rate; thus, studies and analyses to improve this disadvantage must be carried out. Considering that new waveforms have been proposed to improve the performance of terrestrial wireless communications systems, this work presents the development of general analytical expressions that allow the performance evaluation of the Generalized Frequency Division Multiplexing (GFDM) waveform in underwater environments. These analytical expressions were obtained considering a continuous-time model for the GFDM signal and modeling the underwater acoustic communication channel as a time-varying multipath channel. Numerical results were obtained for many different systems and channel parameters, allowing a quantitative evaluation of the system performance degradation.

show abstract

“…When n − (i + m) < n − k, that means i > k − m, only k − i bits of the previous bit pattern can be obtained. At this point, assuming that the remaining previous bits are '0', there are k − i previous bits that determine the value of w i , as shown in (11) and (12). The structure diagram of the DFE when i > k − m is shown in Fig.…”

Section: B Strcuture Of the Novel Dfe Based On Mbrmentioning

confidence: 99%

A Novel Decision Feedback Equalization Structure for Nonlinear High-Speed Links

Chu

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

As the degree of nonlinearity in high-speed links becomes more and more serious, traditional decision feedback equalization (DFE) which is based on linear time-invariant assumption can no longer eliminate the inter-symbol interference effectively. In this paper, the shortcomings of traditional DFE structure for nonlinear high-speed links are first analyzed. Then, the multi-bit response (MBR) method is proposed to accurately construct the bit stream responses of the nonlinear high-speed links. Lastly, a novel DFE structure based on the MBR method is presented to improve the signal quality of the nonlinear high-speed links. The accuracy of the proposed method is verified by the simulation based on a nonlinear high-speed link model. Compared with traditional DFE, the proposed DFE structure can significantly improve the signal quality of the nonlinear high-speed links. As the degree of nonlinearity increases, the advantage of the proposed DFE becomes more prominent. INDEX TERMS Decision feedback equalization (DFE), inter-symbol interference (ISI), multi-bit response, nonlinearity, signal integrity.

show abstract

Channel Estimation Based Equalizer for Underwater Acoustic Multiple-Input-Multiple-Output Communication

Cited by 13 publications

References 24 publications

A Parallel Decoding Approach for Mitigating Near–Far Interference in Internet of Underwater Things

A Parallel Decoding Approach for Mitigating Near–Far Interference in Internet of Underwater Things

Analytical Performance Evaluation of GFDM in Underwater Acoustic Communication Systems

A Novel Decision Feedback Equalization Structure for Nonlinear High-Speed Links

Contact Info

Product

Resources

About