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Spatial diversity processing mechanism based on the distributed underwater acoustic communication system. | LitMetric

AI Article Synopsis

  • This paper proposes a distributed underwater acoustic communication system (DUA-DCS) to tackle challenges like signal delays and multipath effects in shallow waters, enhancing reliability through multiple parallel communication links.
  • It introduces an uplink diversity processing mechanism (DFE-PLL-MSIRC) that combines underwater signals more effectively, resulting in significant improvements in signal quality and a lower bit error rate (BER) compared to single-link systems.
  • In the downlink, the system employs complex orthogonal space-time block coding (COSTBC) to achieve improved transmission diversity, maintaining high coding efficiency and further enhancing reliability in communication.

Article Abstract

To address the problem of unreliable single-link underwater acoustic communication caused by large signal delays and strong multipath effects in shallow water environments, this paper proposes a distributed underwater acoustic diversity communication system (DUA-DCS). DUA-DCS employs a maneuverable distributed cross-medium buoy network to form multiple distributed, non-coherent, and parallel communication links. In the uplink, a receiving diversity processing mechanism of joint decision feedback equalizer embedded phase-locked loop and maximum signal-to-interference ratio combining (DFE-PLL-MSIRC) is proposed to achieve waveform-level diversity combining of underwater signals. A phase-locked loop module is embedded in each branch of the decision feedback equalizer to eliminate the residual frequency and phase errors after Doppler compensation. Meanwhile, the combining coefficients are determined based on the maximum signal-to-interference ratio criterion, taking into account the residual inter-symbol interference after equalization, resulting in efficient and accurate computation. Additionally, the combined decision values are fed back to the feedback filters in each branch to ensure more accurate feedback output. Simulation and lake experiment results demonstrate that, compared to the single-link communication system, DFE-PLL-MSIRC can achieve a diversity gain of more than 5.2 dB and obtain about 3 dB more diversity gain than the comparison algorithm. And the BER of DFE-PLL-MSIRC can be reduced by at least one order of magnitude, which is lower by at least 0.6 order of magnitude compared to the comparison algorithm. In the downlink, a transmitting diversity processing mechanism of complex orthogonal space-time block coding (COSTBC) is proposed. By utilizing a newly designed generalized complex orthogonal transmission matrix, complete transmission diversity can be achieved at the coding rate of 3/4. Compared to the single-link communication system, the system can achieve a diversity gain of more than 6 dB.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10760719PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296117PLOS

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