Pilot Assisted MIMO-OFDM-IM Design for Time-Varying Underwater Acoustic Communications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08642-6.pdf
Reference19 articles.
1. Alamouti, S. M. (1998). A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 16(8), 1451–1458.
2. Altabbaa, M. T. (2021). Double focusing: A new sparse channel estimation algorithm for doubly selective SFBC-OFDM-based underwater acoustic systems. IEEE Wireless Communications Letters, 9(12), 2040–2044.
3. Zorita, E. V., & Stojanovic, M. (2015). Space-frequency block coding for underwater acoustic communications. IEEE Journal of Oceanic Engineering, 40(2), 303–314.
4. Altabbaa, M. T., Ogrenci, A. S., Panayirci, E., & Poor, H. V. (2018). Sparse channel estimation for space-time block coded OFDM-based underwater acoustic channels. Abu Dhabi, UAE: IEEE Globecom.
5. Panayirci, E., Altabbaa, M. T., & Poor, H. V. (2021). Channel estimation and equalization for Alamouti SF-coded OFDM-UWA communications. IEEE Transactions on Vehicular Technology, 70(2), 1709–1723.
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1. Real Signal DHT-OFDM With Index Modulation for Underwater Acoustic Communication;IEEE Journal of Oceanic Engineering;2023-01
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