Estimation of Underwater Acoustic MIMO-OFDM Channel Based on Compressed Sensing

被引：0
|
作者：
Ren, Xinmin [1 ]
Zhao, Min [2 ]
Hou, Jing [2 ]
Long, Xuguang [2 ]
Yang, Zongwei [2 ]
机构：
[1] Ocean Univ China, Coll Informat Sci & Engn, Qingdao, Shandong, Peoples R China
[2] NYU, Tandon Sch Engn, Brooklyn, NY USA
来源：
2019 IEEE UNDERWATER TECHNOLOGY (UT) | 2019年
关键词：
estimation; UA channel; MIMO-OFDM; compressed sensing; COMMUNICATION;
D O I：
10.1109/ut.2019.8734310
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
Underwater acoustic (UWA) channel estimation is crucial for underwater acoustic communications. In this paper MIMO-OFDM system is applied in shallow water acoustic communication. The channel estimation is based on compressed sensing (CS) theory due to the sparse characteristic of UA channel. Aiming at the unknown sparsity, an improved orthogonal matching pursuit (OMP) algorithm, which is the combination of regularized OMP (ROMP) and sparsity adaptive MP (SAMP) algorithm, is presented. Compared with OMP, SAMP and ROMP algorithm by simulation, the improved algorithm has shorter running time and lower bit error rate (BER). It is feasible in performance and efficiency.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] MIMO-OFDM Channel Estimation using Distributed Compressed Sensing
    Priyanka, B. Lohini
    Rajeswari, K.
    Thiruvengadam, S. J.
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 144 - 147
  • [2] Distributed compressed sensing estimation of underwater acoustic OFDM channel
    Zhou, Yue-hai
    Tong, F.
    Zhang, Gang-qiang
    [J]. APPLIED ACOUSTICS, 2017, 117 : 160 - 166
  • [3] MIMO-OFDM over an underwater acoustic channel
    Li, Baosheng
    Zhou, Shengli
    Stojanovic, Milica
    Freitag, Lee
    Huang, Jie
    Willett, Peter
    [J]. 2007 OCEANS, VOLS 1-5, 2007, : 1196 - +
  • [4] Sparse Channel Estimation for MIMO-OFDM Systems using Compressed Sensing
    Jayanthi, P. N.
    Ravishankar, S.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2016, : 1060 - 1064
  • [5] Massive MIMO-OFDM Channel Estimation via Distributed Compressed Sensing
    Akbarpour-Kasgari, Abbas
    Ardebilipour, Mehrdad
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2019, 8 (02) : 376 - 379
  • [6] Channel Estimation and Equalization of Underwater Acoustic MIMO-OFDM Systems: A Review
    Qiao, Gang
    Babar, Zeeshan
    Ma, Lu
    Ahmed, Niaz
    [J]. CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING-REVUE CANADIENNE DE GENIE ELECTRIQUE ET INFORMATIQUE, 2019, 42 (04): : 199 - 208
  • [7] Channel Estimation Algorithm Based on Compressed Sensing for Underwater Acoustic OFDM Communication System
    Zou, Zhiqiang
    Lu, Siyu
    Shen, Shu
    Wang, Ruchuan
    Lin, Xiangyu
    [J]. ADVANCES IN WIRELESS SENSOR NETWORKS, 2015, 501 : 114 - 124
  • [8] Massive MIMO-OFDM Channel Estimation via Structured Turbo Compressed Sensing
    Chen, Lei
    Yuan, Xiaojun
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [9] Adaptive Channel Estimation and Data Detection for Underwater Acoustic MIMO-OFDM Systems
    Ceballos Carrascosa, Patricia
    Stojanovic, Milica
    [J]. IEEE JOURNAL OF OCEANIC ENGINEERING, 2010, 35 (03) : 635 - 646
  • [10] Structured Turbo Compressed Sensing for Downlink Massive MIMO-OFDM Channel Estimation
    Kuai, Xiaoyan
    Chen, Lei
    Yuan, Xiaojun
    Liu, An
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (08) : 3813 - 3826
12345