Investigation of VBLAST Equalization Technique for Underwater Acoustic Communications

Pranitha Boddu, L. Anjaneyulu, Hoa Le Minh, Nauman Aslam, Sandeep Vandala Kumar


Underwater Acoustic Communications (UWAC) is an emerging technology in the field of underwater communications, and it is challenging because of the signal attenuation of the sound waves. Multiple Input and Multiple-Output (MIMO) is introduced in UWAC because of its support in enhancing the data throughput even under the conditions of interference, signal fading, and multipath. The paper presents the concept and analysis of 2× 2 MIMO UWAC systems that uses a 4- QAM spatial modulation scheme thus minimizing the decoding complexity and overcoming the Inter Channel Interference (IChI). Bit Error Rate (BER) investigation is carried out over different link distances under acoustic Line of Sight (LOS). The utilization of Zero Forcing (ZF) and Vertical-Bell Laboratories Layered Space-Time (VBLAST) equalizers, which estimates the transmitted data proves a success of removing Inter Symbol Interference (ISI).  The ISI caused due to multipath effect and scattering in UWAC can be reduced by iterative process considered in VBLAST.  A study is made on how the distance between the transmitter and the receiver and the Doppler Effect has its impact on the performance of the system.

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Xu, Tianzeng, and Lufeng Xu. Digital Underwater Acoustic Communications. Elsevier, Academic Press 2016.

Stojanovic, M., 1999. Underwater acoustic communication. Wiley Encyclopaedia of Electrical and Electronics Engineering, pp.1-12

Stojanovic, M., 2007. On the relationship between capacity and distance in an underwater acoustic communication channel. ACM SIGMOBILE Mobile Computing and Communications Review, 11(4), pp.34-43.

Diamant, R., Bucris, Y. and Feuer, A., 2016. An efficient method to measure the reliability of underwater acoustic communication links. Journal of Ocean Engineering and Science, 1(2), pp.129-134.

Gu, S., Guo, S. and Zheng, L., 2018, August. Characteristic Evaluation of the Mobile Acoustic Communication for Spherical Underwater Robots (SUR III). In 2018 IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 2191-2196). IEEE.

Pranitha, B. and Anjaneyulu, L., 2016, December. Performance evaluation of Underwater Communication system using block codes. In Eco-friendly Computing and Communication Systems (ICECCS), 2016 Fifth International Conference on (pp. 58-62). IEEE.

Diamant, R., Feuer, A., and Dotan, A.A., 2007. Time reversal MIMO architecture for very shallow underwater acoustic communication (pp. 1-5). IEEE.

BOUVET, P.J. and LOUSSERT, A., MIMO underwater acoustic communications over shallow water channel.

Garg, J., Gupta, K. and Ghosh, P.K., 2013. Performance Analysis of MIMO Wireless Communications over Fading Channels-A Review. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(4), pp.1272-1302.

Goswami, Y. and Naik, K.K., 2018. Comparative survey on Underwater and Terrestrial Communication Data rates.

Zhang, L., Li, M., Li, G. and Wang, R., 2015. Symbol estimation algorithm for MIMO underwater acoustic communication system based on a multiplicative noise model. Mathematical Problems in Engineering, 2015.

Pranitha, B, Le Minh, H., Aslam, N., Anjaneyulu, L. and Vangala, S., 2018, July. BER Performance Investigation of MIMO Underwater Acoustic Communications. In 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP) (pp. 1-5). IEEE.

Rana, R.C. and Rathod, J.M., 2017. Performance Analysis of Efficient Power Allocation Techniques with Different Modulation for 4X4 VBLAST MIMO-OFDM System. Indian Journal of Science and Technology, 10(17).

Shen, C., Zhu, Y., Zhou, S. and Jiang, J., 2004, November. On the performance of VBLAST with zero-forcing successive interference cancellation receiver. In Global Telecommunications Conference, 2004. GLOBECOM’04.IEEE (Vol. 5, pp. 2818-2822). IEEE

Patel, K.V. and Patel, M., VBLAST Architecture: A New Transmission Scheme for MIMO–OFDM. PG Student, EC Department, KIT RC, Kalol, Gujarat, India (ISSN: 0975–6779| NOV 12 TO OCT 13| VOLUME–02, ISSUE–02).

Zhang, S., Nie, C., Lu, L., Zhang, S. and Qian, G., 2012, October. MIMO physical layer network coding based on VBLAST detection. In 2012 International Conference on Wireless Communications and Signal Processing (WCSP) (pp. 1-5). IEEE.

Akbar, N., Khan, A.A., Butt, F.Q., Saleem, M.S., Riffat, S. and Iqbal, R., 2013, April. Performance analysis of energy detection spectrum sensing using MIMO-OFDM VBLAST Test Bed. In Wireless and Mobile Networking Conference (WMNC), 2013 6th Joint IFIP (pp. 1-4). IEEE.

Li, Y., Zhang, S. and Wang, H., 2013. BER performance analysis of MIMO Physical-layer Network Coding based on VBLAST detection Target, 1, p.2.

Nguyen, T.N., Lai, X., Tran, B., Nguyen, Q.K. and Nguyen, T.D., 2014, April. Performance analysis of the VBLAST algorithm for MIMO-OFDMA systems on spatial correlated channels. In Computing, Management and Telecommunications (ComManTel), 2014 International Conference on (pp. 146-151). IEEE.

Diamant, R. and Lampe, L., 2018. Low Probability of Detection for Underwater Acoustic Communication: A Review. IEEE Access, 6, pp.19099-19112.

Ochi, H., Watanabe, Y. and Shimura, T., 2004. Experiments on acoustic communication with quadrature amplitude modulation in multipath environment. Japanese journal of applied physics, 43(5S), p.3140.

Stojanovic, M. and Preisig, J., 2009. Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE communications magazine, 47(1), pp.84-89

Pranitha, B. and Anjaneyulu, L., 2016, April. Review of research trends in underwater communications—A technical survey. In Communication and Signal Processing (ICCSP), 2016 International Conference on (pp. 1443-1447). IEEE


Naderi, M., Pätzold, M. and Zajic, A.G., 2014, July. A geometry-based channel model for shallow underwater acoustic channels under the rough surface and bottom scattering conditions. In Communications and Electronics (ICCE), 2014 IEEE fifth international conference on (pp. 112-117). IEEE.

Pranitha, B. and Anjaneyulu, L., 2016. BER Performance Evaluation of Underwater Communication System with Spatial Diversity. Indian Journal of Science and Technology, 9(S1).

Malik, M. and Kaushik, R., 2016. MIMO-OFDM and idma scheme in underwatercommunication. IJITR, 4(3), pp.2971-2976.

Wolniansky, P.W., Foschini, G.J., Golden, G.D., and Valenzuela, R.A., 1998, September. VBLAST: An architecture for realizing very high data rates over the rich-scattering wireless channel. In Signals, Systems, and Electronics, 1998. ISSSE 98. 1998 URSI International Symposium on (pp. 295-300). IEEE.

Schwarz, R.T., Knopp, A. and Lankl, B., 2012, March. SC-FDE VBLAST system concept for MIMO over satellite with antenna misalignment. In Systems, Signals, and Devices (SSD), 2012 9th International Multi-Conference on (pp. 1-8). IEEE.

Patel, K.V. and Patel, M., VBLAST Architecture: A New Transmission Scheme for MIMO–OFDM. PG Student, EC Department, KIT RC, Kalol, Gujarat, India (ISSN: 0975–6779| NOV 12 TO OCT 13| VOLUME–02, ISSUE–02).

Gohar, N.D. and Rafique, Z., 2003. VBLAST: a space-division multiplexing technique is providing a spectral efficiency necessary for high data rate wireless networks. Ghulam Ishaq Khan Institute of Engineering Sciences, Pakistan.

Barmashe, P.K., and Nema, R., Performance Evaluation of VBLAST MIMO System using BPSK.

Chourasia, S.K. and Pandey, R., 2014. Extensive Survey on MIMO Technology using V-BLAST Detection Technique. International Journal of Computer Applications, 98(5).

Caley, M. and Duncan, A., 2013. Investigation of underwater acoustic multi-path Doppler and delay spreading in a shallow marine environment. Acoustics Australia, 41(1), pp.20-28.

Burrowes, G. and Khan, J.Y., 2011. Short-range underwater acoustic communication networks. In Autonomous Underwater Vehicles. InTech.

Mesleh, R., Ganesan, S. and Haas, H., 2007, September. Impact of channel imperfections on spatial modulation OFDM. In Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on (pp. 1-5). IEEE.

Xiao, Z., Xiao, H., Jingwei, Y. and Xueli, S., 2013. Study on Doppler effects estimate in underwater acoustic communication. The Journal of the Acoustical Society of America, 133(5), pp.3463-3463.


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