Channel Estimation Using Pilot Method for Underwater Filter Bank Multicarrier System

  • Naveed Ur Rehman Junejo
  • Jiaquan Yan
  • Saifullah Adnan
  • Hailan Chen
  • Haixin SunEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)


Filter bank multicarrier (FBMC) modulation is well-thought-out as a promising contender for communication systems, it may perhaps substitute orthogonal frequency division multiplexing (OFDM) in terrestrial communication and in underwater acoustic communication (UAC). Herein this paper, we insinuate the channel estimation by means of coding pilot and auxiliary pilot technique for underwater FBMC system. We contemplated multipath underwater acoustic channel with additive white Gaussian noise. Herein we equated the BER performance between OFDM and FBMC, the experimental outcomes ascertained that the BER of FBMC is better than OFDM exploiting multipath underwater acoustic channel.


Channel estimation Underwater filter bank multicarrier Coding pilot Auxiliary pilot And bit error rate 



This work was supported by the National Natural Science Foundation of China (61471309, 61671394) and by the Fundamental Research Funds for the Central Universities (20720170044).


  1. 1.
    Chen, D., Qu, D., Jiang, T., He, Y.: Prototype filter optimization to minimize stopband energy with NPR constraint for filter bank multicarrier modulation systems. IEEE Trans. Signal Process. 61(1), 159–169 (2013)Google Scholar
  2. 2.
    Kuai, X., Sun, H., Zhou, S., Cheng, E.: Impulsive noise mitigation in underwater acoustic OFDM systems. IEEE Trans. Veh. Technol. 65(10), 8190–8202 (2016)Google Scholar
  3. 3.
    Jiang, Y., Papandreou-Suppappola, A.: Discrete time-scale characterization of wideband time-varying systems. IEEE Trans. Signal Process. 54(4), 1364–1375 (2006)Google Scholar
  4. 4.
    Margetts, A.R., Schniter, P., Swami, A.: Joint scale-lag diversity in wideband mobile direct sequence spread spectrum systems. IEEE Trans. Wireless Commun. 6(12), 4308–4319 (2007)Google Scholar
  5. 5.
    Hlawatsch, F., Matz, G.: Wireless Communications over Rapidly Time-Varying Channels. Academic Press, New York (2011)Google Scholar
  6. 6.
    van Walree, P.A., Otnes, R.: Ultra-wideband underwater acoustic communication channels. IEEE J. Ocean. Eng. 38(4), 678–688 (2013)Google Scholar
  7. 7.
    Tao, X., Zijian, T., Leus, G., Mitra, U.: Multi-rate block transmission over wideband multi-scale multi-lag channels. IEEE Trans. Signal Process. 61(4), 964–979 (2013)Google Scholar
  8. 8.
    Li, B., Zhou, S., Stojanovic, M., Freitag, L., Willett, P.: Multicarrier communication over underwater acoustic channels with nonuniform Doppler shifts. IEEE J. Ocean. Eng. 33(2), 1638–1649 (2008)Google Scholar
  9. 9.
    Yerramalli, S., Mitra, U.: Optimal resampling of OFDM signals for multiscale-multilag underwater acoustic channels. IEEE J. Ocean. Eng. 36(1), 126–138 (2011)Google Scholar
  10. 10.
    Beygi, S., Mitra, U.: Optimal bayesian resampling for OFDM signaling over multi-scale multi-lag channels. IEEE Signal Process. Lett. 20(11), 1118–1121 (2013)Google Scholar
  11. 11.
    Yerramalli, S., Stojanovic, M., Mitra, U.: Partial FFT demodulation: a detection method for Doppler distorted OFDM systems. IEEE Trans. Signal Process. 60(11), 5906–5918 (2012)Google Scholar
  12. 12.
    Berger, C.R., Zhou, S., Preisig, J.C., Willett, P.: Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing. IEEE Trans. Signal Process. 58(3), 1708–1721 (2010)Google Scholar
  13. 13.
    Stitz, T.H., Ihalainen, T., Viholainen, A., Renfors, M.: Pilot-based synchronization and equalization in filter bank multicarrier communications. EURASIP J. Adv. Sig. Proc., 1–9 (2010)Google Scholar
  14. 14.
    Lele, C., Legouable, R., Siohan, P.: Channel estimation with scattered pilots in OFDM/OQAM. In: IEEE 9th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 286–290 (2008)Google Scholar
  15. 15.
    Nissel, R., Lerch, M., Simko, M., Rupp, M.: Bit error probability for pilot-symbol-aided OFDM channel estimation in doubly-selective channels. In: 18th International ITG Workshop on Smart Antennas (WSA), Erlangen, Germany, March 2014Google Scholar
  16. 16.
    Nissel, R., Rupp, M.: Bit error probability for pilot-symbol aided channel estimation in FBMC-OQAM. In: IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016Google Scholar
  17. 17.
    Haas, R., Belfiore, J.-C.: A time-frequency well-localized pulse for multiple carrier transmission. Wireless Pers. Commun. 5, 1–18 (1997)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Naveed Ur Rehman Junejo
    • 1
  • Jiaquan Yan
    • 2
  • Saifullah Adnan
    • 3
  • Hailan Chen
    • 2
  • Haixin Sun
    • 1
    Email author
  1. 1.Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, School of Information Science and EngineeringXiamen UniversityXiamenPeople’s Republic of China
  2. 2.School of Information Science and EngineeringXiamen UniversityXiamenPeople’s Republic of China
  3. 3.South China University of Technology GuangzhouGuangzhouChina

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