Robust estimation in flat fading channels under bounded channel uncertainties
We investigate channel equalization problem for time-varying flat fading channels under bounded channel uncertainties. We analyze three robust methods to estimate an unknown signal transmitted through a time-varying flat fading channel. These methods are based on minimizing certain mean-square error...
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Veröffentlicht in: | Digital signal processing 2013-09, Vol.23 (5), p.1592-1601 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | We investigate channel equalization problem for time-varying flat fading channels under bounded channel uncertainties. We analyze three robust methods to estimate an unknown signal transmitted through a time-varying flat fading channel. These methods are based on minimizing certain mean-square error criteria that incorporate the channel uncertainties into their problem formulations instead of directly using the inaccurate channel information that is available. We present closed-form solutions to the channel equalization problems for each method and for both zero mean and nonzero mean signals. We illustrate the performances of the equalization methods through simulations.
•Channel equalization for at fading channels.•Affine minimax equalization method.•Affine minimin equalization method.•Affine minimax regret equalization method. |
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ISSN: | 1051-2004 1095-4333 |
DOI: | 10.1016/j.dsp.2013.05.012 |