Iterative Sparse Channel Estimation and Decoding for Underwater MIMO-OFDM

We propose a block-by-block iterative receiver for underwater MIMO-OFDM that couples channel estimation with multiple-input multiple-output (MIMO) detection and low-density parity-check (LDPC) channel decoding. In particular, the channel estimator is based on a compressive sensing technique to exploit the channel sparsity, the MIMO detector consists of a hybrid use of successive interference cancellation and soft minimum mean-square error (MMSE) equalization, and channel coding uses nonbinary LDPC codes. Various feedback strategies from the channel decoder to the channel estimator are studied, including full feedback of hard or soft symbol decisions, as well as their threshold-controlled versions. We study the receiver performance using numerical simulation and experimental data collected from the RACE08 and SPACE08 experiments. We find that iterative receiver processing including sparse channel estimation leads to impressive performance gains. These gains are more pronounced when the number of available pilots to estimate the channel is decreased, for example, when a fixed number of pilots is split between an increasing number of parallel data streams in MIMO transmission. For the various feedback strategies for iterative channel estimation, we observe that soft decision feedback slightly outperforms hard decision feedback.

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

[2]  Paul Hursky,et al.  Multiinput multioutput OFDM for shallow‐water UWA communications , 2008 .

[3]  Hao He,et al.  Enhanced Channel Estimation and Symbol Detection for High Speed MIMO Underwater Acoustic Communications , 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

[4]  Stephen P. Boyd,et al.  An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares , 2007, IEEE Journal of Selected Topics in Signal Processing.

[5]  Fengzhong Qu,et al.  Basis expansion model for underwater acoustic channels? , 2008, OCEANS 2008.

[6]  T.M. Duman,et al.  High-Rate Communication for Underwater Acoustic Channels Using Multiple Transmitters and Space–Time Coding: Receiver Structures and Experimental Results , 2007, IEEE Journal of Oceanic Engineering.

[7]  H.C. Song,et al.  Multiple-input-multiple-output coherent time reversal communications in a shallow-water acoustic channel , 2006, IEEE Journal of Oceanic Engineering.

[8]  Shengli Zhou,et al.  Nonbinary LDPC Coding for Multicarrier Underwater Acoustic Communication , 2008, IEEE Journal on Selected Areas in Communications.

[9]  A.B. Baggeroer,et al.  Spatial modulation experiments in the underwater acoustic channel , 2005, IEEE Journal of Oceanic Engineering.

[10]  Lee Freitag,et al.  An OFDM Design for Underwater Acoustic Channels with Doppler Spread , 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

[11]  Jie Huang,et al.  A simple and effective noise whitening method for underwater acoustic OFDM , 2009, OCEANS 2009.

[12]  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.

[13]  V.K. McDonald,et al.  Multichannel combining and equalization for underwater acoustic MIMO channels , 2008, OCEANS 2008.

[14]  M. Stojanovic,et al.  Adaptive MIMO detection of OFDM signals in an underwater acoustic channel , 2008, OCEANS 2008.

[15]  Jie Huang,et al.  Comparison of basis pursuit algorithms for sparse channel estimation in underwater acoustic OFDM , 2010, OCEANS'10 IEEE SYDNEY.

[16]  Fengzhong Qu,et al.  Rate and Reliability Oriented Underwater Acoustic Communication Schemes , 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

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

[18]  James A. Ritcey,et al.  Iterative channel estimation and decoding of pilot symbol assisted LDPC coded QAM over flat fading channels , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[19]  Hao He,et al.  Enhanced channel estimation and symbol detection for high speed multi-input multi-output underwater acoustic communications. , 2009, The Journal of the Acoustical Society of America.

[20]  Branimir R. Vojcic,et al.  Turbo Decoding Complexity Reduction by Symbol Selection and Partial Iterations , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[21]  Jie Huang,et al.  Further results on high-rate MIMO-OFDM underwater acoustic communications , 2008, OCEANS 2008.

[22]  Lee Freitag,et al.  Performance of Micro-Modem PSK signaling under variable conditions during the 2008 RACE and SPACE experiments , 2009, OCEANS 2009.

[23]  Jian Zhang,et al.  Frequency-domain equalization for single carrier MIMO underwater acoustic communications , 2008, OCEANS 2008.

[24]  Branimir R. Vojcic,et al.  Cross-entropy based symbol selection and partial iterative decoding for serial concatenated convolutional codes , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[25]  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 .

[26]  Chengshan Xiao,et al.  Time-domain receiver design for MIMO underwater acoustic communications , 2008, OCEANS 2008.

[27]  Milica Stojanovic,et al.  Adaptive Channel Estimation for Underwater Acoustic MIMO OFDM Systems , 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

[28]  Jie Huang,et al.  MIMO-OFDM Over An Underwater Acoustic Channel , 2007, OCEANS 2007.

[29]  James A. Ritcey,et al.  A factor graph approach to iterative channel estimation and LDPC decoding over fading channels , 2005, IEEE Transactions on Wireless Communications.

[30]  Matthew C. Valenti,et al.  Iterative channel estimation and decoding of pilot symbol assisted turbo codes over flat-fading channels , 2001, IEEE J. Sel. Areas Commun..