EXIT chart analysis of BICM-ID based receiver for shallow underwater acoustic communications

We present extrinsic information transfer (EXIT) chart analysis of iterative equalizer implemented using adaptive decision feedback equalizers (DFE) and bit-interleaved coded modulation with iterative decoding (BICM-ID) to analyse the performance. It is shown from the EXIT chart analysis that the performance of the BICM-ID based receiver strongly depends on the ability of the equalizer to remove the intersymbol interference (ISI) and the number of taps employed in the feedback filter of the DFE. It is demonstrated that error free communication can be achieved even though the DFE does not cover the entire span of the channel, which is typically the case for underwater communications (UWC). Furthermore, it is shown that the latency associated with the iterative processing can be avoided if the initial equalization is successful, leading the receiver to iterate for less iterations.

[1]  John G. Proakis,et al.  Iterative equalization and decoding techniques for shallow water acoustic channels , 2001, MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295).

[2]  S. Brink Convergence of iterative decoding , 1999 .

[3]  Alain Glavieux,et al.  Iterative correction of intersymbol interference: Turbo-equalization , 1995, Eur. Trans. Telecommun..

[4]  Michael Tüchler,et al.  Iterative channel estimation for turbo equalization of time-varying frequency-selective channels , 2004, IEEE Transactions on Wireless Communications.

[5]  Jeffrey A. Neasham,et al.  Adaptive Doppler compensation for coherent acoustic communication , 2000 .

[6]  Stephan ten Brink,et al.  Convergence behavior of iteratively decoded parallel concatenated codes , 2001, IEEE Trans. Commun..

[7]  Charalampos Tsimenidis,et al.  Low Complexity Iterative Receiver Design for Shallow Water Acoustic Channels , 2010, EURASIP J. Adv. Signal Process..

[8]  Gerhard Bauch,et al.  Optimized symbol mappings for bit-interleaved coded modulation with iterative decoding , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[9]  CommunicationsSystemsGerhard,et al.  Iterative Equalization and Decoding in Mobile , 1997 .

[10]  H.C. Song,et al.  An Iterative Equalization and Decoding Approach for Underwater Acoustic Communication , 2008, IEEE Journal of Oceanic Engineering.

[11]  A. Glavieux,et al.  Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1 , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.

[12]  R. Otnes,et al.  Underwater Acoustic Communications: Long-Term Test of Turbo Equalization in Shallow Water , 2008, IEEE Journal of Oceanic Engineering.

[13]  S. ten Brink,et al.  Iterative demapping and decoding for multilevel modulation , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[14]  B.S. Sharif,et al.  A computationally efficient Doppler compensation system for underwater acoustic communications , 2000, IEEE Journal of Oceanic Engineering.

[15]  Andrew C. Singer,et al.  Minimum mean squared error equalization using a priori information , 2002, IEEE Trans. Signal Process..