References
- P. Chen et al., Joint channel estimation and impulsive noise mitigation in underwater acoustic OFDM communication systems, IEEE Trans. Wirel. Commun. 16 (2017), 6165-6178. https://doi.org/10.1109/TWC.2017.2720580
- M. Chitre, S. Ong, and J. Potter, Performance of coded OFDM in very shallow water channels and snapping shrimp noise, in Proc. OCEANS MTS/IEEE (Washington, DC, USA), Sept. 2005, pp. 996-1001.
- R. Gomathi and J. M. L. Manickam, PAPR reduction technique using combined DCT and LDPC based OFDM system for underwater acoustic communication, ARPN J. Eng. Appl. Sci. 11 (2016), 4424-4430.
- M. Chitre, J. Potter, and O. S. Heng, Underwater acoustic channel characterisation for medium-range shallow water communications, in Proc. OCEANS'04. MTTS/IEEE TECHNO-OCEAN (Kobe, Japan), Nov. 2004, pp. 40-45.
- L. Liu et al., Design and implementation of channel coding for underwater acoustic system, in proc. IEEE Int. Conf. on ASIC (Changsha, China), Oct. 2009, pp. 497-500.
- M. S. Ahmed et al., Filtered-OFDM with channel coding based on T-distribution noise for underwater acoustic communication, J. Ambient Intell. Humaniz. Comput. 11 (2020), 1-14.
- C. Seo et al., Performance comparison of convolution and Reed-Solomon codes in underwater multipath fading channel, Jpn. J. Appl. Phys. 53 (2014), 07KG02:1-4.
- J. Trubuil, A. Goalic, and N. Beuzelin, Synchronization and channel coding in shallow water acoustic communication, in Proc. OCEANS (Quebec, Canada), Sept. 2008, pp. 1-5.
- J. Huang, S. Zhou, and P. Willett, Nonbinary LDPC coding for multicarrier underwater acoustic communication, IEEE J. Sel. Area. Comm. 26 (2008), 1684-1696. https://doi.org/10.1109/JSAC.2008.081208
- B. Vasic, P. Ivanis, and S. Brkic, Low complexity memory architectures based on LDPC codes: Benefits and disadvantages, in Proc. Telecommun. Modern Satellite, Cable Broadcasting Services (Nis, Serbia), Oct. 2015, pp. 11-18.
- L. Liu et al., Channel coding for underwater acoustic single-carrier CDMA communication system, in Proc. Int. Conf. Electron. Inf. Eng. (Nanjing, China), Jan. 2017, pp. 103222S:1-10.
- W. Han, J. Huang, and M. Jiang, Performance analysis of underwater digital speech communication system based on LDPC codes, in Proc. IEEE Conf. Ind. Electron. Applicat. (Xian, China), May 2009, pp. 567-570.
- Y. A. Jawhar et al., A review of partial transmit sequence for PAPR reduction in the OFDM systems, IEEE Access 7 (2019), 18021-18041. https://doi.org/10.1109/access.2019.2894527
- Y. A. Jawhar et al., New low-complexity segmentation scheme for the partial transmit sequence technique for reducing the high PAPR value in OFDM systems, ETRI J. 40 (2018), 699-713. https://doi.org/10.4218/etrij.2018-0070
- J. Panaro et al., Underwater acoustic noise model for shallow water communications, in Proc. Brazilian Telecommun. Symp. 2012.
- S. Banerjee and M. Agrawal, On the performance of underwater communication system in noise with Gaussian mixture statistics, in Proc. National Conf. Commun. (Kanpur, India), 2014, pp. 1-6.
- M. Stojanovic and J. Preisig, Underwater acoustic communication channels: Propagation models and statistical characterization, IEEE Commun. Mag. 47 (2009), 84-89. https://doi.org/10.1109/MCOM.2009.4752682
- N. S. M. Shah, Y. Y. Al-Aboosi, and M. S. Ahmed, Error performance analysis in underwater acoustic noise with non-Gaussian distribution, Telkomnika 16 (2018), 681-689. https://doi.org/10.12928/telkomnika.v16i2.8001
- Y. Y. Al-Aboosi and A. Z. Sha'ameri, Improved underwater signal detection using efficient time-frequency de-noising technique and Pre-whitening filter, Appl. Acoust. 123 (2017), 93-106. https://doi.org/10.1016/j.apacoust.2017.03.013
- J. Panaro et al., Underwater acoustic noise model for shallow water communications, in Brazilian Telecomm. Symp., 2012.
- D. Li, Y. Wu, and M. Zhu, Nonbinary LDPC code for noncoherent underwater acoustic communication under non-Gaussian noise, in Proc. IEEE Int. Conf. Signal Process. Commun. Comput. (Xiamen, China), Oct. 2017, pp. 1-6.
- A. Goalic, J. Trubuil, and N. Beuzelin, Channel coding for underwater acoustic communication system, in Proc. OCEANS (Boston, MA, USA), Sept. 2006, pp. 1-4.
- Y. Y. Al-Aboosi et al., Diurnal variability of underwater acoustic noise characteristics in shallow water, Telkomnika 15 (2017), 314. https://doi.org/10.12928/telkomnika.v15i1.4510
- Y. Y. Al-Aboosi and A. Z. Sha'ameri, Improved signal de-noising in underwater acoustic noise using S-transform: A performance evaluation and comparison with the wavelet transform, J. Ocean Eng. Sci. 2 (2017), 172-185. https://doi.org/10.1016/j.joes.2017.08.003
- M. Ahsanullah, B. G. Kibria, and M. Shakil, Normal and student's T distributions and their applications, Springer, Paris, Netherlands, 2014.
- Y. A. Al-Jawhar et al., Zero-padding techniques in OFDM systems, Int. J. Electr. Eng. Inform. 10 (2018), 704-725. https://doi.org/10.15676/ijeei.2018.10.4.6
- A. Hammoodi, L. Audah, and M. A. Taher, Green coexistence for 5G waveform candidates: A review, IEEE Access 7 (2019), 10103-10126. https://doi.org/10.1109/access.2019.2891312
- D. Wu et al., A field trial of f-OFDM toward 5G, in Proc. IEEE Globecom Workshops (Washington, DC, USA), Dec. 2016, pp. 1-6.
- R. Gerzaguet et al., The 5G candidate waveform race: A comparison of complexity and performance, EURASIP J. Wirel. Commun. Netw. 13 (2017), 1-14.
- J. Wang et al., Spectral efficiency improvement with 5G technologies: Results from field tests, IEEE J. Sel. Area. Commun. 35 (2017), 1867-1875. https://doi.org/10.1109/JSAC.2017.2713498
- D. Wu et al., A field trial of f-OFDM toward 5G, in Proc. Globecom Workshops (Washington, DC, USA), Dec. 2016, pp. 1-6.
- Y. Jawhar et al., New low complexity segmentation scheme of partial transmit sequence technique to reduce the high PAPR value in OFDM systems, ETRI J. 40 (2018), 1-15. https://doi.org/10.4218/etr2.12019
- F. Schaich and T. Wild, Waveform contenders for 5G-OFDM vs. FBMC vs. UFMC, in Proc. Commun., Contr. Signal Process. (Athens, Greece), May 2014, pp. 457-460.
- C. Berrou, A. Glavieux, and P. Thitimajshima, Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1, in Proc. ICC 93-IEEE Int. Conf. Commun. (Geneva, Switzerland), May 1993, pp. 1064-1070.
- B. Tahir, S. Schwarz, and M. Rupp, BER comparison between convolutional, turbo, LDPC, and polar codes, in Proc. Int. Conf. Telecommun. (Limassol, Cyprus), May 2017, pp. 1-7.
- E. Arikan, Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels, IEEE Trans. Inf. Theory 55 (2009), 3051-3073. https://doi.org/10.1109/TIT.2009.2021379
- Z. R. M. Hajiyat et al., Channel coding scheme for 5G mobile communication system for short length message transmission, Wirel. Pers. Commun. 106 (2019), 377-400. https://doi.org/10.1007/s11277-019-06167-7