DocumentCode :
2432563
Title :
MIMO OFDM over underwater acoustic channels
Author :
Stojanovic, Milica
Author_Institution :
Northeastern University, USA
fYear :
2009
fDate :
1-4 Nov. 2009
Firstpage :
605
Lastpage :
609
Abstract :
MIMO OFDM communication is considered for spatial multiplexing of independent data streams over band-limited, frequency-selective underwater acoustic channels. Long acoustic multipath, however, limits the applicability of MIMO channel estimation methods that require inversion of a matrix whose size is proportional to both the number of transmit elements and the multipath spread. To overcome this problem, an adaptive algorithm is used that does not require matrix inversion and operates in a decision-directed manner, thus reducing both the computational complexity and the overhead. The algorithm makes use of a phase synchronization method to compensate for the non-uniform Doppler shifting in a wideband acoustic system, and exploits the remaining temporal coherence. System performance is successfully demonstrated using real data transmitted over 1 km in shallow water, with a varying number of carriers (128-1024), transmitters (1-3), and modulation levels (4 and 8 PSK) in the 8-18 kHz band.
Keywords :
Doppler shift; MIMO communication; OFDM modulation; channel estimation; matrix inversion; space division multiplexing; telecommunication channels; underwater acoustic communication; MIMO OFDM communication; MIMO channel estimation methods; adaptive algorithm; computational complexity; frequency 8 kHz to 18 kHz; frequency-selective underwater acoustic channels; independent data streams; matrix inversion; modulation levels; nonuniform Doppler shifting; phase synchronization method; spatial multiplexing; transmitters; underwater acoustic channels; wideband acoustic system; Adaptive algorithm; Channel estimation; Computational complexity; Frequency synchronization; MIMO; OFDM; System performance; Underwater acoustics; Underwater communication; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-5825-7
Type :
conf
DOI :
10.1109/ACSSC.2009.5469907
Filename :
5469907
Link To Document :
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