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  • Ling, Jun, et al. (author)
  • Efficient channel equalization for MIMO underwater acoustic communications
  • 2010
  • In: 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). - Piscataway, NJ : IEEE Communications Society. - 9781424489787 - 9781424493951 ; , s. 73-76
  • Conference paper (peer-reviewed)abstract
    • Linear minimum mean-squared error (LMMSE)-based channel equalization is widely used in multi-input multioutput (MIMO) underwater acoustic communications (UAC). The practical challenge of LMMSE based schemes is the necessity of matrix inversion which generally imposes heavy computational burden on the receiver. To obtain the LMMSE filters efficiently, we exploit the conjugate gradient method and the diagonalization properties of circulant matrices. The proposed scheme is based on fast Fourier transform operations and can be implemented in parallel, which makes it a promising candidate for real-time MIMO underwater acoustic communications. Both numerical and SPACE'08 experimental examples are presented to demonstrate the effectiveness of the proposed approach.
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  • Result 1-1 of 1
Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Li, Jian (1)
Nordenvaad, Magnus L ... (1)
Ling, Jun (1)
Tan, Xing (1)
University
Luleå University of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
Year
2010 (1)

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