On particle filtering for digital communications

We analyze the problem of joint channel-data estimation in fast fading channels. We propose a hybrid structure which associates the Kalman filter and particle filtering, respectively, for the channel and data estimation. We compare this solution with the classical reduced complexity methods. We show...

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Bibliographische Detailangaben

Hauptverfasser:	Bertozzi, T., Le Ruyett, D., Rigal, G., Vu-Thien, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational complexity Detectors Digital communication Digital filters Fading Filtering algorithms Finite impulse response filter Monte Carlo methods Sliding mode control State-space methods
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