MIMO-HFM: A MIMO System with Hyperbolic Frequency Modulation for Underwater Acoustic Communication

Reliable transmission and high data rate over underwater acoustic channels are considerably challenging. In this paper, we propose Multiple-Input and Multiple-Output (MIMO) scheme using a Hyperbolic Frequency Modulation (HFM) waveform. Our proposed system combines the advantages of both systems-special multiplexing of MIMO and immunity against Doppler shift of HFM. To increase the spectral efficiency, we employ M-ray HFM and overlapped sub-channels by leveraging the high temporal resolution characteristic. To verify effectiveness of our system, we have designed a theoretically enhanced acoustic simulator, which especially focuses on the reflection phenomenon by utilizing approved reflection loss models. Based on our acoustic simulator, we could verify that our system is robust against for multipath fading and Doppler shifting while keeping the multiplexing benefit of MIMO, while maintaining a very low complexity and system overhead. In addition, the results provide a useful insight for physical layer design in acoustic communication systems.

[1]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.

[2]  Hao Shen,et al.  Diversity and channel estimation using time-varying signals and time-frequency techniques , 2006, IEEE Transactions on Signal Processing.

[3]  Andrew C. Singer,et al.  Signal processing for underwater acoustic communications , 2009, IEEE Communications Magazine.

[4]  Robert Been,et al.  Target Doppler estimation using wideband frequency modulated signals , 2000, IEEE Trans. Signal Process..

[5]  R. Galvin,et al.  A stochastic underwater acoustic channel model , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[6]  Richard P. Hodges Underwater Acoustics: Analysis, Design and Performance of Sonar , 2010 .

[7]  Rudolf Bannasch,et al.  Sweep-spread carrier for underwater communication over acoustic channels with strong multipath propagation. , 2002, The Journal of the Acoustical Society of America.

[8]  Shengli Zhou,et al.  Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing , 2009, OCEANS 2009-EUROPE.

[9]  K Tu,et al.  Peer-reviewed Technical Communication Mitigation of Intercarrier Interference for Ofdm over Time-varying Underwater Acoustic Channels , 2022 .

[10]  M. Stojanovic,et al.  Statistical Characterization and Computationally Efficient Modeling of a Class of Underwater Acoustic Communication Channels , 2013, IEEE Journal of Oceanic Engineering.

[11]  Darryl Morrell,et al.  Dynamic Configuration of Time-Varying Waveforms for Agile Sensing and Tracking in Clutter , 2007, IEEE Transactions on Signal Processing.

[12]  Jianguo Huang,et al.  Reliable Mobile Underwater Wireless Communication Using Wideband Chirp Signal , 2009, 2009 WRI International Conference on Communications and Mobile Computing.

[13]  T. C. Yang,et al.  On Overhead Reduction in Time-Reversed OFDM Underwater Acoustic Communications , 2014, IEEE Journal of Oceanic Engineering.

[14]  Lee Freitag,et al.  Recent trends in underwater acoustic communications , 2013 .

[15]  Tapan K. Sarkar,et al.  A novel Doppler-tolerant polyphase codes for pulse compression based on hyperbolic frequency modulation , 2007, Digit. Signal Process..

[16]  Peter Willett,et al.  Range Bias Modeling for Hyperbolic-Frequency-Modulated Waveforms in Target Tracking , 2012 .

[17]  Yahong Rosa Zheng,et al.  Statistical channel modeling of wireless shallow water acoustic communications from experiment data , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

[18]  Spectral properties of the interference head wave. , 2007, The Journal of the Acoustical Society of America.

[19]  Andrew M. Weiner,et al.  Spectral windowing of frequency‐modulated optical pulses in a grating compressor , 1985 .

[20]  L. Freitag,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF OCEANIC ENGINEERING 1 Peer-Reviewed Technical Communication Multicarrier Communication Over Un , 2022 .

[21]  Mandar Chitre,et al.  A high-frequency warm shallow water acoustic communications channel model and measurements. , 2007, The Journal of the Acoustical Society of America.

[22]  Milica Stojanovic,et al.  Underwater acoustic communication channels: Propagation models and statistical characterization , 2009, IEEE Communications Magazine.

[23]  Meng Zhou,et al.  Hyperbolic frequency modulation for multiple users in underwater acoustic communications , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[24]  Wen-Bin Yang,et al.  M-ary frequency shift keying communications over an underwater acoustic channel: Performance comparison of data with models , 2006 .

[25]  Sunghyun Choi,et al.  Chirp signal-based aerial acoustic communication for smart devices , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).