NDLI: Multi-channel data communication through thick metallic barriers

Content Provider	IEEE Xplore Digital Library
Author	Ashdown, J.D. Saulnier, G.J. Lawry, T.J. Wilt, K.R. Scarton, H.A. Pascarelle, S. Pinezich, J.D.
Copyright Year	2012
Description	Author affiliation: Advanced Acoustic Concepts, Hauppauge, NY 11788 (Pascarelle, S.; Pinezich, J.D.) \|\| Electrical, Computer, and Systems Engineering Dept., Rensselaer Polytechnic Institute, Troy, NY 12180 (Ashdown, J.D.; Saulnier, G.J.; Lawry, T.J.) \|\| Mechanical, Aerospace, and Nuclear Engineering Dept., Rensselaer Polytechnic Institute, Troy, NY 12180 (Wilt, K.R.; Scarton, H.A.)
Abstract	This paper explores the use of multiple communication channels to transmit data at high rates, without physical penetrations, through thick metallic barriers using ultrasound. Two parallel acoustic-electric channels are formed in close proximity utilizing two pairs of coaxially aligned piezoelectric transducers mounted on, and acoustically coupled to, opposing sides of a metal wall. Each channel employs orthogonal frequency division multiplexing (OFDM) which can achieve a high spectral efficiency in frequency selective channels. The two-transmitter-two-receiver MIMO configuration is studied and analytical expressions of channel capacity are determined for the raw channels as well as for several co-channel interference cancellation techniques and they are verified using a Monte-Carlo simulation. It is shown that excessive crosstalk between the channels can lead to marginal increases or decreases in capacity over the single channel when no interference suppression is used. Several interference cancellation structures, including zero forcing, eigenmode transmission, and minimum mean-square error (MMSE) are investigated to mitigate this effect. It is shown that their aggregate capacity may approximately double that of either channel used independently. It is also determined that, in a relatively static MIMO acoustic-electric channel, a minimal complexity adaptive approach such as the Least Mean Squares (LMS) algorithm may be used while achieving a similar capacity to more complex structures.
Starting Page	4678
Ending Page	4683
File Size	494360
Page Count	6
File Format	PDF
ISBN	9781457720529
ISSN	15503607
e-ISBN	9781457720536
e-ISBN	9781457720512
DOI	10.1109/ICC.2012.6364479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Crosstalk OFDM Signal to noise ratio MIMO Receivers Least squares approximation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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