Abstract
Acoustic signals are a first choice in underwater communication since sound waves face very low attenuation in water compared to radio frequency (RF). However, the tendency of receiver to detect multipath signals (due to signals bouncing off surface or the bottom) induces large delay spreads and thus strong channel frequency selectivity. Additionally, rapid spatial and temporal variations in underwater acoustic (UWA) channel makes it hostile for communication systems based on single carrier modulation. Multicarrier modulation techniques, on the other hand, can greatly improve bandwidth utilization and help deal with time dispersal effects. Orthogonal frequency division multiplexing (OFDM) is a proven multicarrier communication system having capabilities to cope with frequency selectivity and delay spreads effectively. OFDM has started to get attention for being a simpler alternative to high complexity and high maintenance single carrier systems in UWA communication systems. This work proposes a Matlab model of an OFDM transceiver along with UWA channel characterization based on Rician shadowed fading model as it perfectly characterizes the way in which a shallow UWA channel behaves. Eventually, the proposed design allows implementation of various OFDM modulation methods and to perform Monte Carlo simulations for bit error rate comparisons together with the ability to tune multiple UWA channel parameters.
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References
Akyildiz, I. F., Pompili, D., & Melodia, T. (2004). Challenges for efficient communication in underwater acoustic sensor networks. ACM Sigbed Review, 1(2), 3–8.
Qureshi, U. M., Shaikh, F. K., Aziz, Z., Shah, S. M. Z. S., Sheikh, A. A., Felemban, E., et al. (2016). RF Path and Absorption Loss Estimation for Underwater Wireless Sensor Networks in Different Water Environments. Sensors (Basel, Switzerland), 16(6), 890. https://doi.org/10.3390/s16060890
Chirdchoo, N., Soh, W., & Chua, K. C. Aloha-based MAC protocols with collision avoidance for underwater acoustic networks. In IEEE INFOCOM 2007—26th IEEE international conference on computer communications, 6–12 May 2007, 2007 (pp. 2271–2275). doi:https://doi.org/10.1109/INFCOM.2007.263.
Cochenour, B., & Mullen, L. (2012). Free-space optical communications underwater. In G. Karagiannidis, J. Barry, M. Uysal, R. Schober, & S. Arnon (Eds.), Advanced optical wireless communication systems (pp. 201–239). Cambridge: Cambridge University Press.
Jensen, F. B., Kuperman, W. A., Porter, M. B., & Schmidt, H. (2011). Computational ocean acoustics. Newyork: Springer.
Stojanovic, M. (2006). Low complexity OFDM detector for underwater acoustic channels. New York: IEEE.
Li, B., Huang, J., Zhou, S., Ball, K., Stojanovic, M., Freitag, L., et al. (2009). MIMO–OFDM for high-rate underwater acoustic communications. IEEE Journal of Oceanic Engineering, 34(4), 634–644.
Stojanovic, M. (2008). OFDM for underwater acoustic communications: Adaptive synchronization and sparse channel estimation. In IEEE international conference on acoustics, speech and signal processing, 2008. ICASSP 2008, 2008 (pp. 5288–5291). New York: IEEE
Dayal, A. (2016). Nonlinear Doppler warp correction for acoustic OFDM. Masters Thesis, Virginia Tech
Pan, W., Liu, P., Chen, F., Ji, F., & Feng, J. (2015). Doppler-shift estimation of flat underwater channel using data-aided least-square approach. International Journal of Naval Architecture and Ocean Engineering, 7(2), 426–434.
Bejjani, E., & Belfiore, J. (1996) Multicarrier coherent communications for the underwater acoustic channel. In OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean—Prospects for the 21st Century, 23–26 Sept. 1996 (Vol. 3, pp. 1125–1130, Vol.1123). doi:https://doi.org/10.1109/OCEANS.1996.569060.
Lam, W. K., & Ormondroyd, R. F. (1997). A coherent COFDM modulation system for a time-varying frequency-selective underwater acoustic channel. In Seventh international conference on electronic engineering in oceanography, 1997. 'Technology Transfer from Research to Industry. 23–25 June 1997 (pp. 198–203). doi:https://doi.org/10.1049/cp:19970684.
Sang, E., Xu, X., Qiao, G., & Su, J. (2008). Study on ZP-OFDM for underwater acoustic communication. In 2008 International conference on neural networks and signal processing, 7–11 June 2008 (pp. 299–302). doi:https://doi.org/10.1109/ICNNSP.2008.4590360.
Wang, X., Shen, X., & Ma, S. (2019). A time-reversal based CP-free OFDM system for underwater acoustic communication. In OCEANS 2019—Marseille, 17–20 June 2019 (pp. 1–6). doi:https://doi.org/10.1109/OCEANSE.2019.8867179.
Domingo, M. C. (2008). Overview of channel models for underwater wireless communication networks. Physical Communication, 1(3), 163–182.
Gwun, B.-C., Han, J.-W., Kim, K.-M., & Jung, J.-W. (2013). MIMO underwater communication with sparse channel estimation. In 2013 Fifth international conference on ubiquitous and future networks (ICUFN), 2013 (pp. 32–36). New York: IEEE
Galvin, R., & Coats, R. (1996). A stochastic underwater acoustic channel model. In The coastal ocean-prospects for the 21st Century OCEANS 96 MTS/IEEE conference proceedings. 1996 (Vol. 1, pp. 203–210). New York: IEEE
Stojanovic, M., & Preisig, J. (2009). Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE Communications Magazine, 47(1), 84–89. https://doi.org/10.1109/MCOM.2009.4752682
Stojanovic, M. Underwater acoustic communications: design considerations on the physical layer. In Proc. wireless on demand network systems and services, 2008 (pp. 1–10)
Kulhandjian, H., & Melodia, T. (2014). Modeling underwater acoustic channels in short-range shallow water environments. Paper presented at the Proceedings of the International Conference on Underwater Networks and Systems, Rome, Italy.
Song, A., Senne, J., Badiey, M., & Smith, K. B. (2011). Underwater acoustic communication channel simulation using parabolic equation. Paper presented at the Proceedings of the Sixth ACM International Workshop on Underwater Networks, Seattle, Washington.
Cañete, J. F., López-Fernández, J., García-Corrales, C., Sánchez, A., Robles, E., Rodrigo, J. F., et al. (2016). Measurement and modeling of narrowband channels for ultrasonic underwater communications. Sensors. https://doi.org/10.3390/s16020256
Ruiz-Vega, F., Clemente, M. C., Otero, P., & Paris, J. F. (2011). Ricean shadowed statistical characterization of shallow water acoustic channels for wireless communications. arXiv preprint arXiv:1112.4410.
Radosevic, A., Proakis, J. G., & Stojanovic, M. Statistical characterization and capacity of shallow water acoustic channels. In OCEANS 2009-EUROPE, 11–14 May 2009 2009 (pp. 1–8). doi:https://doi.org/10.1109/OCEANSE.2009.5278349.
Zia, M. Y. I., Otero, P., & Poncela, J. (2018). Design of a low-cost modem for short-range underwater acoustic communications. Wireless Personal Communications, 101(1), 375–390.
Stojanovic, M., & Freitag, L. (2013). Recent trends in underwater acoustic communications. Marine Technology Society Journal, 47(5), 45–50. https://doi.org/10.4031/MTSJ.47.5.9.
Zia, M. Y. I., Khan, A. M., Otero, P., & Poncela, J. (2016). Investigation of underwater acoustic modems: Architecture, test environment & performance. In 2016 3rd international conference on computing for sustainable global development (INDIACom), 2016 (pp. 2031–2036). New York: IEEE
Qarabaqi, P., & Stojanovic, M. (2013). Statistical characterization and computationally efficient modeling of a class of underwater acoustic communication channels. IEEE Journal of Oceanic Engineering, 38(4), 701–717.
Ashri, R. M., Shaban, H. A., & Abou El-Nasr, M. BER of FRFT-based OFDM system for underwater wireless communication. In 2016 33rd national radio science conference (NRSC), 2016 (pp. 266–273). New York: IEEE
Emre, Y., Kandasamy, V., Duman, T. M., Hursky, P., & Roy, S. (2008). Multiinput multioutput OFDM for shallow-water UWA communications. Journal of the Acoustical Society of America, 123(5), 3891.
Frassati, F., Lafon, C., Laurent, P.-A., & Passerieux, J.-M. (2005). Experimental assessment of OFDM and DSSS modulations for use in littoral waters underwater acoustic communications. In Oceans 2005-Europe, 2005 (Vol. 2, pp. 826–831). New York: IEEE
Chitre, M. (2007). A high-frequency warm shallow water acoustic communications channel model and measurements. The Journal of the Acoustical Society of America, 122(5), 2580–2586.
Yan, H., Zhou, S., Shi, Z. J., & Li, B. (2007). A DSP implementation of OFDM acoustic modem. In Proceedings of the second workshop on underwater networks, 2007 (pp. 89–92). New York: ACM
Yan, H., Wan, L., Zhou, S., Shi, Z., Cui, J.-H., Huang, J., et al. (2012). DSP based receiver implementation for OFDM acoustic modems. Physical Communication, 5(1), 22–32.
Kun, Z., Sen, Q. S., Aik, K. T., & Aik, T. B. (2007). A real-time coded OFDM acoustic modem in very shallow underwater communications. In OCEANS 2006-Asia Pacific, (pp. 1–5).
Mason, S., Anstett, R., Anicette, N., & Zhou, S. (2007). A broadband underwater acoustic modem implementation using coherent OFDM. In Proc. of National Conference for Undergraduate Research (NCUR), 2007
Pelekanakis, K., Green, D., Fountzoulas, Y., Petroccia, R., Fioravanti, S., Alves, J., et al. (2018) A modem design for underwater acoustic networking in the high north. In 2018 fourth underwater communications and networking conference (UComms), 2018 (pp. 1–5). New York: IEEE
Porter, M. Bellhop code. https://oalib.hlsresearch.com/Rays/index.html. Accessed May 2020.
Wan, L., Zhou, H., Xu, X., Huang, Y., Zhou, S., Shi, Z., et al. (2015). Adaptive modulation and coding for underwater acoustic OFDM. IEEE Journal of Oceanic Engineering, 40(2), 327–336.
Dong, Q., Wang, Y., & Guan, X. (2018). The design and implementation of an underwater multimode acoustic modem for autonomous underwater vehicles. In 2018 37th Chinese control conference (CCC), 2018 (pp. 4201–4205). New York: IEEE
Li, B., Zhou, S., Stojanovic, M., Freitag, L., & Willett, P. (2008). Multicarrier communication over underwater acoustic channels with nonuniform Doppler shifts. IEEE Journal of Oceanic Engineering, 33(2), 198–209.
MinhHai, T., Rie, S., Suzuki, T., & Wada, T. (2016). An acoustic OFDM System with symbol-by-symbol Doppler compensation for underwater communication. The Scientific World Journal. https://doi.org/10.1155/2016/7528353
Ma, X., & Zheng, C. (2016). Decision fractional fast Fourier transform Doppler compensation in underwater acoustic orthogonal frequency division multiplexing. The Journal of the Acoustical Society of America, 140(5), 429–433.
Wu, J., Qiao, G., & Qi, X. (2016). The research on improved companding transformation for reducing PAPR in underwater acoustic OFDM communication system. Discrete Dynamics in Nature and Society. https://doi.org/10.1155/2016/3167483
Gomathi, R., & Manickam, J. M. L. (2016). PAPR reduction technique using combined DCT and LDPC based OFDM system for underwater acoustic communication. ARPN Journal of Engineering and Applied Sciences, 11(7), 4424–4430.
Shen, W., Sun, H., Cheng, E., & Zhang, Y. (2011). Performance analysis of DFT-spread based OFDM transmission system over underwater acoustic channels. Journal of Convergence Information Technology, AICIT, 6(7), 79–86.
Radosevic, A., Ahmed, R., Duman, T. M., Proakis, J. G., & Stojanovic, M. (2014). Adaptive OFDM modulation for underwater acoustic communications: Design considerations and experimental results. IEEE Journal of Oceanic Engineering, 39(2), 357–370.
Shi, X. L., Yang, Y. X., & Yang, L. (2013). An OFDM system for long-range underwater acoustic communications. Applied Mechanics and Materials, 321–324, 1274–1277. https://doi.org/10.4028/www.scientific.net/AMM.321-324.1274
Zhou, Y., & Tong, F. (2019). Research and development of a highly reconfigurable OFDM MODEM for shallow water acoustic communication. IEEE Access, 7, 123569–123582. https://doi.org/10.1109/ACCESS.2019.2936933
Panayirci, E., Altabbaa, M. T., Uysal, M., & Poor, H. V. (2019). Sparse channel estimation for OFDM-based underwater acoustic systems in Rician fading with a new OMP-MAP algorithm. IEEE Transactions on Signal Processing, 67(6), 1550–1565. https://doi.org/10.1109/TSP.2019.2893841
Schniter, P. (2004). Low-complexity equalization of OFDM in doubly selective channels. IEEE Transactions on Signal Processing, 52(4), 1002–1011. https://doi.org/10.1109/TSP.2004.823503
Wang, X., Wang, J., He, L., & Song, J. (2017). Doubly selective underwater acoustic channel estimation with basis expansion model. In 2017 IEEE international conference on communications (ICC), 21–25 May 2017 2017 (pp. 1–6). doi:https://doi.org/10.1109/ICC.2017.7997090.
Liu, C., Zakharov, Y. V., & Chen, T. (2012). Doubly selective underwater acoustic channel model for a moving transmitter/receiver. IEEE Transactions on Vehicular Technology, 61(3), 938–950. https://doi.org/10.1109/TVT.2012.2187226
Urick, R. J. (1982). Sound propagation in the sea. Los Altos: Peninsula Publishing.
Morse, P. M. C., & Ingard, K. U. (1986). Theoretical acoustics. Princeton: Princeton University Press.
Roth, P. O. (2015). Fundamentos de propagación de ondas. Malaga: Universidad de Malaga.
Medwin, H. (1975). Speed of sound in water: A simple equation for realistic parameters. The Journal of the Acoustical Society of America, 58(6), 1318–1319.
Melodia, T., Kulhandjian, H., Kuo, L., & Demirors, E. (2013). Advances in underwater acoustic networking. Mobile ad hoc networking: Cutting edge directions (Second Edn, pp. 804–852). Wiley. https://doi.org/10.1002/9781118511305.ch23
Jeruchim, M., Balaban, P., & Shanmugan, K. S. (2000). Simulation of communication systems (2nd ed.). New York: Kluwer Academic/Plenum.
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), 34–43.
Blossom, E. (2004). GNU radio: Tools for exploring the radio frequency spectrum. Linux Journal, 2004(122), 4.
Pi, R. (2016). Raspberry Pi Zero: The $5 Computer. https://www.raspberrypi.org/products/raspberry-pi-zero/. Accessed May 2020.
Acknowledgments
This work has been supported by University of Malaga (Campus de Excelencia Internacional Andalucía Tech) and the Oceanic Engineering Research Institute (UMA-IIO). We also thank all our colleagues who greatly assisted us in carrying out the proposed research. We would like to acknowledge the help and support of College of Computer Information Systems (CIS) at Umm Al Qura University, Makkah, Saudi Arabia.
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Murad, M., Tasadduq, I.A., Otero, P. et al. Flexible OFDM Transceiver for Underwater Acoustic Channel: Modeling, Implementation and Parameter Tuning. Wireless Pers Commun 116, 1423–1441 (2021). https://doi.org/10.1007/s11277-020-07850-w
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DOI: https://doi.org/10.1007/s11277-020-07850-w