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Equalization and Co-Carrier Frequency Offsets Compensations for UWA-OFDM Communication Systems

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Abstract

The Underwater Acoustic (UWA) wireless communication system is considered one of the most challenging systems for data transmission. The Orthogonal Frequency Division Multiplexing (OFDM) system promises numerous benefits, including high spectrum efficiency and inter-Symbol interference mitigation. But, it is very sensitive to Carrier Frequency Offset (CFO). The implementation of the OFDM necessitates the use of orthogonal transforms such as the Inverse Discrete Fourier Transform (IDFT)/DFT. On the other hand, the Multiple-Input-Multiple Output (MIMO) configuration is affected by co-channel interference. In this paper, we look at another type of co-interference known as the co-CFO. The Linear Zero Forcing (LZF) equalizer suffers from noise enhancement and high computational complexity due to the direct matrix inversion. The Linear Minimum Mean Square Error Equalizer suffers from the noise enhancement problem at high values of the Signal-to-Noise Ratio (SNR), and requires the estimation of the operating SNR to work properly, besides the high computational complexity of the implementation. In this paper, we propose a Joint Low Complexity Regularized LZF equalizer for the UWA-OFDM communication system. The proposed equalizer is driven and takes the effect of the UWA co-channel effect, the noise, and the co-CFO. Simulation results show the important role of the proposed equalizer in configuring the UWA-OFDM communication system.

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References

  1. L.M. Brekhovskikh, and Yu.P. Lysanov. Fundamentals of Ocean Acoustics, second edition, Springer.

  2. Liu, L., Zhou, S., & Cui, J. (2008). Prospects and problems of wireless communications for underwater sensor networks. Wireless Communications and Mobile Computing, 8, 977–994.

    Article  Google Scholar 

  3. Francois, R. E., & Garrison, G. R. (1982). Sound absorption based on ocean measurements: Part I: Pure water and magnesium sulfate contributions. Journal of the Acoustical Society of America, 72, 896–907.

    Article  Google Scholar 

  4. Ramadan, K., Dessouky, M. I., Elagooz, S., Elkordy, M., & Abd El-Samie, F. E. (2018). Equalization and carrier frequency offset compensation for underwater acoustic OFDM systems. Annals of Data Science, 5(2), 259–272. https://doi.org/10.1007/s40745-017-0127-y.

  5. Payne, C. M. (2010). Principles of naval weapons systems. Naval Institute Press.

    Google Scholar 

  6. Ramadan, K., Dessouky, M. I., Elkordy, M., Elagooz, S., & Abd El-Samie, F. E. (2018). Joint low-complexity equalization and carrier frequency offsets compensation for underwater acoustic OFDM communication systems with banded matrix approximation at different channel conditions. International Journal of Communication Systems. https://doi.org/10.1002/dac.3779

    Article  Google Scholar 

  7. Ramadan, K., Alturki, A., Dessouky, M. I., & Abd El-Samie, F. E. (2021). On the performance of joint low-complexity equalization and CFO compensation for SISO-OFDM communication systems with chaotic interleaving and DCT. International Journal of Communication Systems, 34(4), e4585. https://doi.org/10.1002/dac.4585.

  8. Ramadan, K., Alturki, A., Dessouky, M. I., & Abd El-Samie, F. E. (2021). Equalization and CFO compensation for SISO-OFDM communication systems with chaotic interleaving. International Journal of Electronics, 108(9). https://doi.org/10.1080/00207217.2020.1870736.

  9. Ramadan, K., Dessouky, M. I., & Abd El-Samie, F. E. (2020). Modified OFDM configurations with equalization and CFO compensation for performance enhancement of OFDM communication systems using symmetry of the Fourier transform. AEU-International Journal of Electronics and Communications, 126, 153247. https://doi.org/10.1016/j.aeue.2020.153247.

  10. Ramadan, K., Dessouky, M. I., & Abd El-Samie, F. E. (2021). Non-linear equalisation and CFO compensation for MIMO-OFDM communication systems based on DWT. International Journal of Electronics, 108(1), 115–138. https://doi.org/10.1080/00207217.2020.175645.

  11. Ramadan, K., Dessouky, M. I., & Abd El-Samie, F. E. (2020). Performance enhancement of OFDM systems with lower-complexity using DST based on successive interference cancellation. Digital Signal Processing, 102, 102739. https://doi.org/10.1016/j.dsp.2020.102739.

  12. Ramadan, K., Dessouky, M. I., Abd El-Samie, F. E., & Fiky, A. S. (2020). Equalization and blind CFO estimation for performance enhancement of OFDM communication systems using discrete cosine transform. International Journal of Communication Systems, 33(3), e3984. https://doi.org/10.1002/dac.3984.

  13. Trivedi, V. K., Ramadan, K., Kumar, P., Dessouky, M. I., & Abd El-Samie, F. E. (2019). Enhanced OFDM-NOMA for next generation wireless communication: a study of PAPR reduction and sensitivity to CFO and estimation errors. AEU-International Journal of Electronics and Communications¸ 102, 9–24. https://doi.org/10.1016/j.aeue.2019.01.009.

  14. Trivedi, V. K., Ramadan, K., Kumar, P., Dessouky, M. I., & Abd El-Samie, F. E. (2019). Trigonometric transforms and precoding strategies for OFDM-based uplink hybrid multi-carrier nonorthogonal multiple access. Transactions on Emerging Telecommunications Technologies, 30(12), e3694. https://doi.org/10.1002/ett.3694.

  15. Wen, M., Cheng, X., Cheng, X., Yang, L., Duan, D., & Jiao, B. (2013). Effective intercarrier interference reduction techniques for ofdm underwater acoustic communications. In Signals, systems and computers, 2013 asilomar conference on. https://doi.org/10.1109/ACSSC.2013.6810237.

  16. M. Stojanovic (2008) OFDM for underwater acoustic communications: Adaptive synchronization and sparse channel estimation. In Proc. Int. Conf. Acoust. Speech Signal Process, pp. 5288–5291.963.

  17. Zhou, S., & Wang, Z. (2014). OFDM for underwater acoustic Communications. Wiley.

    Book  Google Scholar 

  18. Ramadan, K., Dessouky, M. I., Abd-Elsamie, F. E., & Elagooz, S. (2018). Virtual quadrature phase shift keying with low-complexity equalization for performance enhancement of OFDM systems. International Journal of Electronics and Communications, 96, 199–206. https://doi.org/10.1016/j.aeue.2018.08.031

    Article  Google Scholar 

  19. Rezaie, S., Mohammadi, A., Afrashteh, N., & Sanjaroonpouri, V. (2017). Realization of constant envelope OFDM using quantization and CPM technique. AEU: International Journal of Electronics and Communications, 80, 172–178.

    Google Scholar 

  20. Morelli, M. & Mengali, U. (1999) An improved frequency offset estimator for OFDM applications. In Proc. Communication Theory Mini-Conference, Vancouver, BC

  21. Moose, P. H. (1994). A technique for orthogonal frequency division multiplexing frequency offset correction. IEEE Transactions on Communications, 42, 2908–2914.

    Article  Google Scholar 

  22. T. M. Schmidl and D. C. Cox. (1996) Low-overhead, low-complexity burst synchronization for OFDM. IEEE ICC’96, p. 1301–1306.

  23. Ramadan, K., Dessouky, M. I., Elagooz, S., Elkordy, M., & Abd El-Samie, F. E. (2018). Carrier frequency offsets estimation in UWA-OFDM communication systems using Zadoff-Chu sequences. International Journal of Electronics Letters. https://doi.org/10.1080/21681724.2018.1461249

    Article  Google Scholar 

  24. Al-Kamali, F. S., Dessouky, M. I., Sallam, B. M., Shawki, F., Al-Hanafy, W., & Abd El-Samie, F. E. (2012). Joint low-complexity equalization and carrier frequency offsets compensation scheme for MIMO SC-FDMA systems. IEEE Transactions on Wireless Communications, 11, 869–873.

    Article  Google Scholar 

  25. Mostafa, M., Newagy, F., & Hafez, I. (2016). Joint complex regularised zero-forcing equalisation and CFO compensation for MIMO SC-FDMA systems. IET Communications, 10, 2245–2251.

    Article  Google Scholar 

  26. Ramadan, K., Fiky, Ahmed S., Dessouky, Moawad I., & Abbd-Elsamie, Fathi E. (2019). Equalization and carrier frequency offset compensation for UWA-OFDM communication systems based on the discrete sine transform. Digital Signal Processing, 90, 142–149. https://doi.org/10.1016/j.dsp.2019.02.004

    Article  Google Scholar 

  27. Ramadan, K., Ramadan, Khalil F., Fiky, Ahmed S., Alam, H., Dessouky, Moawad I., Abd, Fathi E., & El-Samie,. (2020). Joint low-complexity equalization and CFO estimation and compensation for UWA-OFDM communication systems. International Journal of Communication Systems, 33(3), e3972. https://doi.org/10.1002/dac.3972

    Article  Google Scholar 

  28. Ramadan, K., Dessouky, Moawad I., Abd, Fathi E., & El-Samie,. (2020). "Joint low-complexity nonlinear equalization and carrier frequency offset compensation for multiple-input multiple-output orthogonal frequency division multiplexing communication systems. Transactions on Emerging Telecommunications Technologies., 31(6), e3874. https://doi.org/10.1002/ett.3874

    Article  Google Scholar 

  29. Ramadan, K., Dessouky, M. I., & AbdEl-Samie, Fathi E. (2020). Joint low-complexity equalization and CFO compensation for DCT-OFDM communication systems based on SIC” the IET communications. The IET Communications, 14(20), 3549–3559. https://doi.org/10.1049/iet-com.2019.0740

    Article  Google Scholar 

  30. Ramadan, K., Dessouky, M. I., Abd, Fathi E., & El-Samie,. (2020). Joint equalization and CFO compensation for performance enhancement of MIMO-OFDM communication systems using different transforms with banded-matrix approximation. AEU-International Journal of Electronics and Cmmunications., 119, 153157. https://doi.org/10.1016/j.aeue.2020.153157

    Article  Google Scholar 

  31. G. H. Golub and C. F. Van Loan. (1996) Matrix computations, baltimore, MD, USA, 3ed edition: Johns Hopkins University Press.

  32. Cao, Z., Tureli, U., & Yao, Y. (2007). Low-complexity orthogonal spectral signal construction for generalized OFDMA uplink with frequency synchronization errors. IEEE Transactions on Vehicular Technology, 56, 1143–1154.

    Article  Google Scholar 

  33. F. Socheleau, J. Passerieux, and C. Laot. (2009). Characterisation of timevarying underwater acoustic communication channel with application to channel capacity. In The Underwater Acoust. Meas. Conf., Nafplion, Greece.

  34. Chitre, M. (2007). Ahigh-frequency warm shallow water acoustic communications channel model and measurements. The Journal of the Acoustical Society of America, 122, 2580–2586.

    Article  Google Scholar 

  35. P. Qarabaqi and M. Stojanovic. (2009) Statistical modeling of a shallow water acoustic communication channel. In Proc. Underwater Acoust. Meas. Conf., Nafplion., Greece.

  36. A. Radosevic, J. Proakis, and M. Stojanovic. (2009) Statistical characterization and capacity of shallow water acoustic channels. In Proc. IEEE OCEANS Eur. Conf.

  37. Yang, W. B., & Yang, T. C. (2006). High-frequency channel characterization for M-ary frequency-shift-keying underwater acoustic communications. The Journal of the Acoustical Society of America, 120, 2615–2626.

    Article  Google Scholar 

  38. J. Zhang, J. Cross, and Y. R. Zheng. (2010) Statistical channel modeling of wireless shallow water acoustic communications from experiment data. In Proc. Military Commun. Conf., pp.2412–2416.

  39. P. Qarabaqi and M. Stojanovic. (2011) Modeling the large scale transmission loss in underwater acoustic channels. In Proc. 49th Annu. Allerton Conf. Commun. Control Comput., Sep. 2011, pp.445–452.

  40. B. Tomasi, P. Casari, L. Badia, and M. Zorzi. (2010). A study of incremental redundancy hybrid ARQ over Markov channel models derived from experimental data. In Proc. 5th ACM Int. Workshop UnderWater Netw., Woods Hole, MA, USA, Sep. 2010. https://doi.org/10.1145/1868812.1868816

  41. Qarabaqi, P., & Stojanovic, M. (2013). Statistical characterization and computation- ally efficient modeling of a class of underwater acoustic communication channels. IEEE Journal of Oceanic Engineering, Special Issue: Underwater Communications, 38, 701–717.

    Article  Google Scholar 

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Acknowledgments

My deepest love and gratitude are devoted to my whole family. I would like to thank my father, Ramadan, my mother, my wife, my brother Mohamed, my sisters, and my sons, Omar and Retal, for their infinite patience and trust. They were usually beside me in all the happy as well as hard times.

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Ramadan, K., Dessouky, M.I. & El-Samie, F.E.A. Equalization and Co-Carrier Frequency Offsets Compensations for UWA-OFDM Communication Systems. Wireless Pers Commun 124, 2229–2245 (2022). https://doi.org/10.1007/s11277-021-09453-5

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