To overcome disadvantages of conventional Doppler estimation and compensation for non-stationary underwater platforms, a novel algorithm based on joint time-frequency searching is proposed to track and rapidly compensate the time-variant Doppler factor in underwater acoustic OFDM (Orthogonal Frequency Division Multiplexing) communication. The algorithm utilizes the comb pilot’s subcarriers combined with frequency-domain resampling to calculate the channel impulse response under different Doppler factors. Then the correct Doppler factor is achieved and eliminated by seeking the sparest channel impulse response, which is accessed using compressed sensing method. Experiment results obtained by Monte Carlo simulation and sea-trial in shallow-water are provided, demonstrating that the new algorithm can effectively track and rapidly compensate the time-variant Doppler factor, thus ensuring the stable underwater acoustic OFDM mobile communication for non-stationary underwater platforms.
AlaaeldeenM.E.A. and DuanW.Y., Overview on the development of autonomous underwater vehicles [J], Journal of Ship Mechanics20(6) (2016), 768–787.
2.
ZhangF., MaraniG., SmithR.N.et al., Future trends in marinerobotics [J], IEEE Robotics and Automation Magazine22(1) (2015), 14–122.
3.
KilfoyleD.B., The state of the art in underwater acoustic telemetry[J], IEEE Journal of Oceanic Engineering25(1) (2000), 4–27.
4.
SunQ.Y., TianH., DongK.et al., Dynamic resource allocation indownlink MIMO-OFDM system [J], Chinese Journal of Scientific Instrument30(7) (2009), 1504–1507.
5.
ChenC.Y., XingH.T., YangG.S.et al., Blind estimation of OFDM system carrier frequency offset using independent component analysis algorithm with non-parametric likelihood ratio [J], Chinese Journal of Scientific Instrument32(9) (2011), 1967–1972.
6.
LuoY.S., XuJ.H., HuH.N.et al., Research on self-adjusting OFDMunderwater acoustic communication algorithm for transmission ratemaximization [J], Journal of Electronics & Information Technology37(12) (2015), 2872–2876.
7.
JingH., ZhangL.L., GeertL.et al., Partial FFT demodulation for MIMO-OFDM over time-varying underwater acoustic channels [J], IEEE Signal Processing Letters23(2) (2016), 282–286.
8.
ShiX.C., ZhaoJ.P., ZhouJ.J.et al., Hydrodynamic coefficients estimation for UUV and ADRC to its diving control [J], Chinese Journal of Scientific Instrument35(12) (2014), 1–6.
9.
WangS., JinH.Z. and MengL.W., Trajectory tracking for under actuated UUV using terminal sliding mode control [C], Control and Decision Conference (CCDC) (2016), Chinese, 6831–6837.
10.
LionelL. and BrunoJ., Robust nonlinear path-following control of an AUV [J], Journal of Oceanic Engineering33(2) (2008), 89–102.
11.
SharifB.S., NeashamJ., HintonO.R.et al., A computationally efficient Doppler compensation system for underwater acoustic communications [J], IEEE Journal of Oceanic Engineering25(1) (2000), 52–61.
12.
LiB.S., ZhouS.L., StojanovicM.et al., Multicarrie rcommunication over underwater acoustic channels with nonuniform Doppler shifts [J], IEEE Journal of Oceanic Engineering33(2) (2008), 198–209.
13.
ShenX.H., WangH.Y., BaiJ.et al., An efficient Doppler estimation method based on pilot chirp Z transformation for base-band OFDM underwater acoustic communication [J], Journalof Northwestern Polytechnical University27(1) (2009), 116–121.
14.
HuangJ.Z., ZhouS.L., HuangJ.et al., Progressive inter-carrier interference equalization for OFDM transmission over time-varying underwater acoustic channels [J], IEEE Journal of selected Topics in Signal Processing5(8) (2011), 1524–1536.
15.
RanM.H., HuangJ.G. and FuJ.H., Sparse channel estimation based on compressive sensing for OFDM underwateracoustic communication [J], Systems Engineering and Electronics33(5) (2011), 1157–1161.
16.
ZhouY.H., WuY.F. and TongF., Distributed compressed sensing estimation of underwater acoustic multiple-input-multiple-output channels [J], Acta Acustica40(4) (2015), 519–528.
17.
ZhouY.H., FengT. and ChenD.S., Joint temporal-sparse recoveryapproach for estimation of underwater acoustic MIMO channels [C], OES China Ocean Acoustics (COA) (2016), Chinese1–5.
18.
QiaoG., WangW., LiuS.Z.et al., An improved decision feedback channel estimation algorithm for multiple-input-multiple-output orthogonal frequency division multiplexing underwater acoustic communication [J], Acta Acustica41(1) (2016), 95–104.
19.
OppenheimA.V., WillskyA.S.Signals & Systems [M]. Prentice-Hall International, Inc., (1999), 145–150.
20.
ZhaoA.B., ZhouB., ShenG.N.et al., Application of polyphase decomposition filter in high-speed underwater acoustic OFDM communication [J], Technical Acoustics31(5) (2012), 471–475.
21.
JohanssonH. and HarrisF., Polyphase decomposition of digitalfractional-delay filters [J], IEEE Signal Processing Letters22(8) (2015), 1021–1025.
22.
Yuan ZhK.Research on key techniques of multi-methodunderwater communication of underwater acoustic network [D]Beijing: Institute of Acoustics, Chinese Academy of Sciences (2012), 60–62.
