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Multiuser interference cancellation in time-varying channels
1. M. Stojanovic, J. A. Capitovic, and J. G. Proakis, “Phase-coherent digital communications for underwater acoustic channels,” IEEE J. Ocean. Eng. 19, 110–111 (1994).
2. P. Hursky, M. B. Porter, and M. Siderius,“Point-to-point underwater acoustic communications using spread-spectrum passive phase conjugation,” J. Acoust. Soc. Am. 120, 247–257 (2006).
3. A. Song, M. Badiey, A. Newhall, J. Lynch, H. DeFerrari, and B. Katsnelson, “Passive time reversal acoustic communications through shallow-water internal waves,” IEEE J. Oceanic Eng. 35, 756–765 (2010).
5. M. Stojanovic and Z. Zvonar, “Multichannel processing of broadband multiuser communication signals in shallow water acoustic channels,” IEEE J. Ocean. Eng. 21, 156–166 (1996).
6. H. C. Song, J. S. Kim, W. S. Hodgkiss, W. Kuperman, and M. Stevenson, “High-rate multiuser communications in shallow water,” J. Acoust. Soc. Am. 128, 2920–2925 (2010).
7. S. Cotter and B. Rao, “Sparse channel estimation via matching pursuit with application to equalization,” IEEE Trans. on Comm. 50, 374–377 (2002).
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In this letter, an adaptive time-reversal multichannel combiner is embedded within an iterative successive interference cancellation receiver. With the addition of matching pursuit, a sparse channel estimation technique, the combined receiver is shown to provide both temporal interference cancellation as well as spatial interference suppression in decoding simultaneous transmissions from separate users in a time-varying underwater acoustic environment. Experimental data collected during the KAM11 experiment illustrates that for a two-user multiple-access system, multiuser separation can be achieved.
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