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Evaluating underwater acoustics sensor network based on sparse LMS algorithm driven physical layer

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اقرأ أكثر حفظ في قائمتي
  • المؤلفون: Zhu, Zhengliang; Tong, Feng; Jiang, Weihua; Zhang, Fumin; Zhang, Ziqiao
  • نوع التسجيلة:
    Electronic Resource
  • الدخول الالكتروني :
    http://repository.hkust.edu.hk/ir/Record/1783.1-124153
    https://doi.org/10.1145/3491315.3491317
    http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2021&rft.spage=&rft.aulast=Zhu&rft.aufirst=&rft.atitle=Evaluating+underwater+acoustics+sensor+network+based+on+sparse+LMS+algorithm+driven+physical+layer&rft.title=WUWNet+2021+-+15th+ACM+International+Conference+on+Underwater+Networks+and+Systems
    http://www.scopus.com/record/display.url?eid=2-s2.0-85130413222&origin=inward
    http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000929724700002
  • معلومة اضافية
    • Publisher Information:
      Association for Computing Machinery 2021
    • نبذة مختصرة :
      Compared with the radio channels, underwater acoustic (UWA) channels pose challenging difficulties, such as the long time propagation, limited bandwidth, random multipath, and the doppler effect. By exploring the inherent sparsity caused by multipath structure, the reliability of underwater communication can be well improved through channel estimation and the equalization method in the physical layer. In this paper, a type of low-complexity channel estimation algorithms based on the least means square (LMS) adaptive iteration with different norm constraints are reviewed, like the l0-norm (l0-LMS), l1-norm (l1-LMS), and non-uniform norm (NNCLMS), from the perspective of the underwater network. The peer-To-peer long time-scale (in hours) channels variation observed in the physical shallow water channel is embedded into the Network Simulator 3 (NS3). The comprehensive performance of the UWA network was evaluated in terms of throughput, and end-To-end time delay. Lastly, an LSTM based Kalman filter (LSTM-KF) has been applied to predict channel response based on experimental NNCLMS estimation, which offers the potential to artificial extend the time scale of performance evaluation. © 2021 ACM.
    • الموضوع:
      Network simulator 3 (NS3); Underwater acoustics communication (UAC); Underwater acoustics networks (UAN); Underwater acoustics networks simulation; Conference paper
    • Availability:
      Open access content. Open access content
    • Note:
      English
    • Other Numbers:
      HNK oai:repository.hkust.edu.hk:1783.1-124153
      WUWNet '21: Proceedings of the 15th International Conference on Underwater Networks & Systems / Association for Computing Machinery. New York : Association for Computing Machinery, 2021, Article No.: 25
      1376637828
    • Contributing Source:
      HONG KONG UNIV OF SCI & TECH, THE
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1376637828
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