ABSTRACT
In this work, a bi-directional transceiver with a maximum throughput of 24 kbps is presented. The spatio-temporal shallow water channel characteristics between a projector and a hydrophone array are analyzed in a seawater tank, and a methodology to maintain a 10−4 probability of bit error with prior knowledge of the channel statistics is proposed. Also, it is found that flow generated in the sea water provides a realistic representation of time-varying propagation conditions, particularly for the reverse link communication link at 22.5 kHz.
- M. Chitre. A high-frequency warm shallow water acoustic communications channel model and measurements. The Journal of the Acoustical Society of America, 122(5):2580--2586, 2007.Google ScholarCross Ref
- E. Demirors, G. Sklivanitis, T. Melodia, S. N. Batalama, and D. A. Pados. Software-defined underwater acoustic networks: toward a high-rate real-time reconfigurable modem. IEEE Commun. Mag., 53(11):64--71, November 2015.Google ScholarDigital Library
- R. Diamant, A. Feuer, and L. Lutz. Choosing the right signal: Doppler shift estimation for underwater acoustic signals. In Intl. Conf. UnderWater Networks Syst., volume 1, pages pp. 1--8, 2012. Google ScholarDigital Library
- R. Diamant and L. Lampe. Spatial reuse time-division multiple access for broadcast ad hoc underwater acoustic communication networks. IEEE J. Ocean. Eng., 36(2):172--185, April 2011.Google ScholarCross Ref
- I. N. Didenkulov, S.-W. Yoon, E.-J. Kim, and A. M. Sutin. Nonlinear acoustic doppler effect in a bubble flow. The Journal of the Acoustical Society of America, 99(4):2514--2529, 1996.Google ScholarCross Ref
- L. E. Freitag, M. Grund, J. Partan, K. Ball, S. Singh, and P. Koski. Multi-band acoustic modem for the communications and navigation aid AUV. In Proceedings of OCEANS 2005 MTS/IEEE, pages 1080--1085 Vol. 2, Sept 2005.Google ScholarCross Ref
- G. M. Goodfellow, J. A. Neasham, C. C. Tsimenidis, O. R. Hinton, and B. S. Sharif. Investigation of a full duplex acoustic link for a tetherless micro-ROV. In OCEANS 2011 IEEE - Spain, pages 1--7, June 2011.Google ScholarCross Ref
- F. Jensen, W. Kuperman, M. Porter, and H. Schmidt. Computational Ocean Acoustics. American Inst. of Physics, 2000.Google Scholar
- B. Katsnelson, V. Petnikov, and J. Lynch. Fundamentals of Shallow Water Acoustics. Springer New York, 2012.Google ScholarCross Ref
- G. McIntyre, J.-F. Bousquet, and J. Quirion. Time-Variant Acoustic Propagation Characterization in Seaport Deployments. In 2015 28th Cdn. Conf. Elect. Comput. Eng., pages 1 --4, May 2015.Google Scholar
- N. Nowsheen, C. Benson, and M. Frater. A high data-rate, software-defined underwater acoustic modem. In OCEANS 2010, pages 1--5, 2010.Google ScholarCross Ref
- D. Pompili and I. F. Akyildiz. Overview of networking protocols for underwater wireless communications. IEEE Commun. Mag., 47(1):97--102, January 2009. Google ScholarDigital Library
- J. Preisig. Acoustic propagation considerations for underwater acoustic communications network development. In Proc. ACM WUWNet, 2006. Google ScholarDigital Library
- J. C. Preisig and G. B. Deane. Surface wave focusing and acoustic communications in the surf zone. The Journal of the Acoustical Society of America, 116(4):2067--2080, 2004.Google ScholarCross Ref
- J. Proakis. Digital communications. McGraw-Hill, Boston, 2001.Google Scholar
- P. Qarabaqi and M. Stojanovic. Statistical characterization and computationally efficient modeling of a class of underwater acoustic communication channels. IEEE J. Ocean. Eng., 38(4):701--717, Oct 2013.Google ScholarCross Ref
- F. Qu, Z. Wang, L. Yang, and Z. Wu. A journey toward modeling and resolving doppler in underwater acoustic communications. IEEE Commun. Mag., 54(2):49--55, February 2016.Google ScholarDigital Library
- A. Radosevic, R. Ahmed, T. M. Duman, J. G. Proakis, and M. Stojanovic. Adaptive OFDM Modulation for Underwater Acoustic Communications: Design Considerations and Experimental Results. IEEE J. Ocean. Eng., 39(2):357--370, April 2014.Google ScholarCross Ref
- D. Rouseff et al. Coherence of acoustic modes propagating through shallow water internal waves. The Journal of the Acoustical Society of America, 111(4):1655--1666, 2002.Google ScholarCross Ref
- K. Sarkar and A. Prosperetti. Backscattering of underwater noise by bubble clouds. The Journal of the Acoustical Society of America, 93(6):3128--3138, 1993.Google ScholarCross Ref
- M. Siderius and M. B. Porter. Modeling broadband ocean acoustic transmissions with time-varying sea surfaces. The Journal of the Acoustical Society of America, 124(1):137--150, 2008.Google ScholarCross Ref
- A. Stefanov and M. Stojanovic. Design and performance analysis of underwater acoustic networks. IEEE J. Sel. Areas Commun., 29(10):2012--2021, December 2011.Google ScholarCross Ref
- M. Stojanovic. On the relationship between capacity and distance in an underwater acoustic communication channel. In Proceedings of the 1st ACM International Workshop on Underwater Networks, WUWNet '06, pages 41--47, New York, NY, USA, 2006. ACM. Google ScholarDigital Library
- M. Stojanovic and L. Freitag. Multichannel Detection for Wideband Underwater Acoustic CDMA Communications. IEEE J. Ocean. Eng., 31(3):685--695, July 2006.Google ScholarCross Ref
- M. Stojanovic and J. Preisig. Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE Communications Magazine, 47(1):84--89, January 2009. Google ScholarDigital Library
- P. van Walree and R. Otnes. Ultrawideband underwater acoustic communication channels. IEEE J. Ocean. Eng., 38(4):678--688, Oct 2013.Google ScholarCross Ref
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