Robust initialization with reduced pilot overhead for progressive underwater acoustic OFDM receivers

Recently, a progressive receiver has been proposed to mitigate the intercarrier interference (ICI) in orthogonal-frequency-division-multiplexing (OFDM) transmissions over underwater acoustic (UWA) channels, where the ICI span gradually increases during the receiver iterations. Operating on a block-by-block basis, the progressive receiver is initialized by measurements on pilot subcarriers inserted in each OFDM block. In this paper, we propose an initialization method that exploits channel correlation across blocks to reduce the number of pilots needed. Specifically, channel estimation in the initialization phase is carried out by combining two sets of measurements: a set of artificial measurements predicted from the estimated channel of the previous block, and a set of measurements on the pilot subcarriers of the current block, where these measurements have different reliability levels. Performance results based on data recorded in SPACE08 and MACE10 experiments demonstrate the robust system performance with reduced number of pilots, where the transmitter in SPACE08 was stationary and that in MACE10 was slowly moving. Extension to the progressive receiver for multi-input multi-output (MIMO) OFDM is also pursued, where it is shown that the proposed hybrid initialization enables drastically improved receiver performance with a small number of pilots per transmitter.

[1]  Lee Freitag,et al.  Progressive MIMO-OFDM reception over time-varying underwater acoustic channels , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[2]  Erik G. Larsson,et al.  Joint symbol timing and channel estimation for OFDM based WLANs , 2001, IEEE Communications Letters.

[3]  Yahong Rosa Zheng,et al.  Frequency-domain channel estimation and equalization for shallow-water acoustic communications , 2010, Phys. Commun..

[4]  Jie Huang,et al.  Progressive inter-carrier interference equalization for OFDM transmission over time-varying underwater acoustic channels , 2010 .

[5]  Ronald A. Iltis,et al.  Iterative Carrier Frequency Offset and Channel Estimation for Underwater Acoustic OFDM Systems , 2008, IEEE Journal on Selected Areas in Communications.

[6]  Milica Stojanovic,et al.  Adaptive Channel Estimation and Data Detection for Underwater Acoustic MIMO–OFDM Systems , 2010, IEEE Journal of Oceanic Engineering.

[7]  M. Stojanovic,et al.  Low Complexity OFDM Detector for Underwater Acoustic Channels , 2006, OCEANS 2006.

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

[9]  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 .

[10]  Paul Hursky,et al.  Mitigation of intercarrier interference in OFDM systems over underwater acoustic channels , 2009, OCEANS 2009-EUROPE.

[11]  Shengli Zhou,et al.  Progressive Inter-Carrier Interference Equalization for OFDM Transmission Over Time-Varying Underwater Acoustic Channels , 2010, IEEE Journal of Selected Topics in Signal Processing.

[12]  Geert Leus,et al.  Multiband OFDM for Covert Acoustic Communications , 2008, IEEE Journal on Selected Areas in Communications.

[13]  Pei-Yun Tsai,et al.  Joint weighted least-squares estimation of carrier-frequency offset and timing offset for OFDM systems over multipath fading channels , 2005, IEEE Trans. Veh. Technol..

[14]  Milica Stojanovic,et al.  MIMO OFDM over underwater acoustic channels , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[15]  P. Willett,et al.  MIMO-OFDM for High-Rate Underwater Acoustic Communications , 2009, IEEE Journal of Oceanic Engineering.