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- Ling, Jun (author)
Efficient channel equalization for MIMO underwater acoustic communications
- Article/chapterEnglish2010
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- Piscataway, NJ :IEEE Communications Society,2010
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:ltu-28101
- https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-28101URI
- https://doi.org/10.1109/SAM.2010.5606766DOI
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- Language:English
- Summary in:English
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- Godkänd; 2010; 20101114 (ysko)
- 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.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Signalbehandling hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing hsv//eng
- Signalbehandling
- Signal Processing
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- Tan, Xing (author)
- Li, Jian (author)
- Nordenvaad, Magnus LundbergLuleå tekniska universitet,Signaler och system(Swepub:ltu)mlg (author)
- Luleå tekniska universitetSignaler och system (creator_code:org_t)
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- In:2010 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)Piscataway, NJ : IEEE Communications Society, s. 73-7697814244897879781424493951
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