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Doppler Compensation of Orthogonal Frequency Division Multiplexing for Ocean Intelligent Multimodal Information Technology

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Abstract

The era of intelligence has arrived. Intelligent multimodal information is essential for underwater engineering. Sound is an indispensable medium in underwater multi-modal information technology. Orthogonal frequency division multiplexing underwater acoustic communication technology can achieve high bit rate communication. However, the time-varying Doppler of the underwater acoustic channel will cause inter carrier interference in the OFDM system, destroy the orthogonality between subcarriers, and affect system performance. In this paper, we propose a method based on wavelet function to compensate for the Doppler distortions of the underwater acoustic channel for OFDM data. This method uses a set of orthogonal polynomials to perform channel estimation in both the time and frequency domains and uses the matched filtering for channel equalization. Compared with the traditional polynomials, the smoothly varying polynomials in Wavelet FFT greatly reduces the correlation of the processed data, enable more accurate channel estimation and equalization. Finally, this paper verifies the feasibility of the algorithm through the Songhua Lake underwater experiment.

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References

  1. Li G, Hu A, Zhang J, Peng L, Sun C, Cao D (2018) High-agreement uncorrelated secret key generation based on principal component analysis preprocessing. IEEE Trans Commun 66(7):3022–3034

    Article  Google Scholar 

  2. Yu J, Hu A, Li G, Peng L (2019) A robust RF fingerprinting approach using multi-sampling convolutional neural network. IEEE Internet Things J 6(4):6786–6799

    Article  Google Scholar 

  3. Xiang, Li, Wen-De, et al (2014) Channel equalization in optical OFDM systems using independent component analysis. J Lightwave Technol 32(18): 3206–3214

  4. Qi P, Li Z, Li H, Xiong T (2018) Blind sub-Nyquist Spectrum sensing with modulated wideband converter. IEEE Trans Veh Technol 67(5):4278–4288

    Article  Google Scholar 

  5. Zhou JT, Tsang IW, Pan SJ et al (2019) Multi-class heterogeneous domain adaptation. J Mach Learn Res 20(57):1–31

    MathSciNet  MATH  Google Scholar 

  6. Sultana A, Fernando X, Zhao L (2017) An overview of medium access control strategies for opportunistic spectrum access in cognitive radio networks. Peer-to-Peer Networking Appl 10(5):1113–1141

    Article  Google Scholar 

  7. Lohn JD, Becker JM, Linden DS (2011) An evolved anti-jamming adaptive beamforming network. Genet Program Evolvable Mach 12(3):217–234

    Article  Google Scholar 

  8. Li B, Huang J, Zhou S et al (2009) MIMO-OFDM for high-rate underwater acoustic communications. IEEE J Ocean Eng 34(4):634–644

    Article  Google Scholar 

  9. Ahmed M, Salleh M, Channa MI (2018) Routing protocols based on protocol operations for underwater wireless sensor network: a survey. Egyptian Inform J 19(1):57–62

    Article  Google Scholar 

  10. Zhu X, Champagne B, Zhu WP (2014) Rao test based cooperative spectrum sensing for cognitive radios in non-Gaussian noise. Signal Process 97:183–194

    Article  Google Scholar 

  11. Lin Y, Zhu X, Zheng Z, Dou Z, Zhou R (2019) The individual identification method of wireless device based on dimensionality reduction and machine learning. J Supercomput 75(6):3010–3027

    Article  Google Scholar 

  12. Lin Y, Tu Y, Dou Z (2020) An improved neural network pruning Technology for Automatic Modulation Classification in edge devices. IEEE Trans Veh Technol 69(5):5703–5706

    Article  Google Scholar 

  13. Zorita EV, Stojanovic M (2015) Space–frequency block coding for underwater acoustic communications. IEEE J Ocean Eng 40(2):303–314

    Article  Google Scholar 

  14. Schniter P (2004) Low-complexity equalization of OFDM in doubly selective channels. IEEE Trans Signal Process 52(4):1002–1011

    Article  MathSciNet  Google Scholar 

  15. Chen C, Zhuge Q, David V, Plant (2011) Zero-guard-interval coherent optical OFDM with overlapped frequency-domain CD and PMD equalization. Optics Express 19(8):7451–7467

    Article  Google Scholar 

  16. Aval YM, Stojanovic M (2015) Differentially coherent multichannel detection of acoustic OFDM signals. IEEE J Ocean Eng 40(2):251–268

    Article  Google Scholar 

  17. Ma X, Wang T, Lin Y, Jin S (2018) Parallel iterative inter-carrier interference cancellation in underwater acoustic orthogonal frequency division multiplexing. Wirel Pers Commun 102(2):1603–1616

    Article  Google Scholar 

  18. Zakharov YV, Morozov AK (2015) OFDM transmission without guard interval in fast-varying underwater acoustic channels. IEEE J Ocean Eng 40(1):144–158

    Article  Google Scholar 

  19. Tu K, Fertonani D, Duman TM, Stojanovic M, Proakis JG, Hursky P (2011) Mitigation of Intercarrier interference for OFDM over time-varying underwater acoustic channels. IEEE J Ocean Eng 36(2):156–171

    Article  Google Scholar 

  20. Han J, Zhang L, Leus G (2016) Partial FFT demodulation for MIMO-OFDM over time-varying underwater acoustic channels. IEEE Signal Processing Letters 23(2):282–286

    Google Scholar 

  21. Lee S, Kiseon K (2012) Localization with a Mobile Beacon in underwater acoustic sensor networks. SENSORS 12(5):5486–5501

    Article  Google Scholar 

  22. Berger CR, Zhou S, Preisig JC et al (2010) Sparse Channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing. IEEE Trans Signal Process 58(3):1708–1721

    Article  MathSciNet  Google Scholar 

  23. Liu S, Pan Z, Cheng X (2017) A novel fast fractal image compression method based on distance clustering in high dimensional sphere surface. Fractals-Complex Geomet Patterns Scaling Nat Soc 25(04):1740004

    Google Scholar 

  24. Wang X, Liu KJR (2002) An Adaptive Channel estimation algorithm using time-frequency polynomial model for OFDM with fading multipath channels. Eurasip J Appl Signal Processing 2002(8):818–830

    MATH  Google Scholar 

  25. Wen JH, Chiang CH, Hsu TJ, Hung HL (2012) Resource management techniques for OFDM systems with the presence of inter-carrier interference. Wirel Pers Commun 65(3):515–535

    Article  Google Scholar 

  26. Liu S, Guo C, Al-Turjman F, Muhammad K (2020) Reliability of response region: A novel mechanism in visual tracking by edge computing for IIoT environments. Mech Syst Signal Process 138:106537

    Article  Google Scholar 

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Acknowledgments

This work was supported by the following projects: Equipment Prophetic Field Fund (No. 61404150301), Heilongjiang Natural Science Foundation Joint Guidance Project (No. HL2019A006), Equipment Pre-Study Ship Heavy Industry Joint Fund (No. 6141B042865), Underwater Information and Control Key Laboratory Open Fund (No. 6142218061812), Xiamen University Education Fund (No. UAC201804).

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Authors and Affiliations

  1. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, 150001, China

    Xuefei Ma, Tingting Wang, Lei Li & Waleed Raza

  2. Department of Electrical Engineering, School of Engineering and Computers, Wright State University, Dayton, OH 45435-0001, USA

    Zhiqiang Wu

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  1. Xuefei Ma
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  2. Tingting Wang
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  3. Lei Li
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Correspondence to Lei Li.

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Ma, X., Wang, T., Li, L. et al. Doppler Compensation of Orthogonal Frequency Division Multiplexing for Ocean Intelligent Multimodal Information Technology. Mobile Netw Appl 25, 2351–2358 (2020). https://doi.org/10.1007/s11036-020-01609-0

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  • DOI: https://doi.org/10.1007/s11036-020-01609-0

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