Block Soft Decision Feedback Turbo Equalization for Orthogonal Signal-Division Multiplexing Underwater Acoustic Communications

Orthogonal signal-division multiplexing (OSDM) is one of the generalized modulation schemes that bring the gap between orthogonal frequency division multiplexing (OFDM) and single carrier frequency domain equalization (SC-FDE). By performing encoding upon subvectors of each interleaved block, it enjoys a flexible resource management with low peak-to-average power ratio (PAPR). Meanwhile, the OSDM induces the intervector interference (IVI) inherently, which requires a more powerful equalizer. By deriving the input and output system model, this paper proposes a time domain soft decision feedback equalizer (SDFE) on per vector equalization with successful soft interference cancellation (SSIC). In addition, this paper takes the whole OSDM block to perform the channel encoding rather than on each vector of the OSDM. Simulation and experimental results demonstrate that the proposed SDFE with SSIC structure outperforms the conventional minimum mean square error (MMSE) equalizer and the block encoding (BE) scheme outperforms the vector encoding (VE) scheme, because theoretically the longer the encoded bit stream is, the more stable and more confident the maximum a posteriori probability (MAP) decoder will be.

[1]  Gerhard Fettweis,et al.  Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks , 2014, IEEE Transactions on Communications.

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

[3]  Sundeep Prabhakar Chepuri,et al.  Iterative Per-Vector Equalization for Orthogonal Signal-Division Multiplexing Over Time-Varying Underwater Acoustic Channels , 2019, IEEE Journal of Oceanic Engineering.

[4]  Koichi Mizutani,et al.  Underwater Acoustic Communication With an Orthogonal Signal Division Multiplexing Scheme in Doubly Spread Channels , 2014, IEEE Journal of Oceanic Engineering.

[5]  Shuangfeng Han,et al.  Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends , 2015, IEEE Communications Magazine.

[6]  Geert Leus,et al.  Time-domain oversampled orthogonal signal-division multiplexing underwater acoustic communications. , 2019, The Journal of the Acoustical Society of America.

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

[8]  Geert Leus,et al.  Doppler-Resilient Orthogonal Signal-Division Multiplexing for Underwater Acoustic Communication , 2016, IEEE Journal of Oceanic Engineering.

[9]  Behrouz Farhang-Boroujeny,et al.  OFDM Versus Filter Bank Multicarrier , 2011, IEEE Signal Processing Magazine.

[10]  Chenggao Han,et al.  Increasing of Wireless Frequency Usage Efficiency by an Information Transmission Method Using Kronecker Product , 2003 .

[11]  Jingxian Wu,et al.  Turbo equalization for single-carrier underwater acoustic communications , 2015, IEEE Communications Magazine.

[12]  Xiang-Gen Xia Precoded and vector OFDM robust to channel spectral nulls and with reduced cyclic prefix length in single transmit antenna systems , 2001, IEEE Trans. Commun..

[13]  Liuqing Yang,et al.  Differential Orthogonal Space-Time Block Coding Modulation for Time-Variant Underwater Acoustic Channels , 2017, IEEE Journal of Oceanic Engineering.