Multiple-input Multiple-output Under-ice Acoustic Communication in Shallow Water
Title | Multiple-input Multiple-output Under-ice Acoustic Communication in Shallow Water |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Han, Xiao, Yin, Jingwei, Yu, Ge |
Conference Name | Proceedings of the 11th ACM International Conference on Underwater Networks & Systems |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4637-5 |
Keywords | decision feedback equalizer, Metrics, MIMO, pubcrawl, Resiliency, scalabilty, time reversal, under-ice acoustic communication, Underwater Networks |
Abstract | Multiple-input multiple-output (MIMO) techniques have been the subject of increased attention for underwater acoustic communication for its ability to significantly improve the channel capabilities. Recently, an under-ice MIMO acoustic communication experiment was conducted in shallow water which differs from previous works in that the water column was covered by about 40 centimeters thick sea ice. In this experiment, high frequency MIMO signals centered at 10 kHz were transmitted from a two-element source array to a four-element vertical receive array at 1km range. The unique under-ice acoustic propagation environment in shallow water seems naturally separate data streams from different transducers, but there is still co-channel interference. Time reversal followed by a single channel decision feedback equalizer is used in this paper to compensate for the inter-symbol interference and co-channel interference. It is demonstrated that this simple receiver scheme is good enough to realize robust performance using fewer hydrophones (i.e. 2) without the explicit use of complex co-channel interference cancelation algorithms such as parallel interference cancelation or serial interference cancelation. Two channel estimation algorithms based on least square and least mean square are also studied for MIMO communications in this paper and their performance are compared using experimental data. |
URL | http://doi.acm.org/10.1145/2999504.3001099 |
DOI | 10.1145/2999504.3001099 |
Citation Key | han_multiple-input_2016 |