Normalization Factor of Hierarchically Modulated Symbols for Advanced T-DMB System

Yim, Zungkon; Jeon, Sungho

doi:10.1109/tbc.2011.2139030

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Phase Variation Compensated Differential Detection1

A Mse Analysis Of Channel Variation Estimation1

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Cited by 4 publications

(2 citation statements)

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“…From the refined CVV obtained using (19), a channel phase variation vector, ρ n = e jφ n , is generated as,…”

Section: Phase Variation Compensated Differential Detectionmentioning

confidence: 99%

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A Novel Differential Detection for Differential OFDM Systems With High Mobility

Zhang

Hong

et al. 2016

IEEE Trans. on Broadcast.

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In conventional differential detection (CDD), the previous received symbol is used as the phase reference for the current received symbol, therefore the channel variation due to fast fading causes an error floor. We propose a novel iterative decision-directed differential detection (iD4) algorithm for orthogonal frequency division multiplexing (OFDM) systems employing differential PSK modulation in each subcarrier. The core of iD4 is a low complexity time and frequency 2-D estimator which can effectively estimate the channel variation experienced by adjacent time domain symbols. This estimated channel variation is then compensated in the differential detection process. Both theoretical analysis and computer simulations show that significant performance improvement can be achieved using iD4 over the CDD for OFDM receivers in fast fading channels.

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“…From the refined CVV obtained using (19), a channel phase variation vector, ρ n = e jφ n , is generated as,…”

Section: Phase Variation Compensated Differential Detectionmentioning

confidence: 99%

“…Applying a window and DFT, the channel variation estimation obtained in (19) has the error variance as…”

Section: A Mse Analysis Of Channel Variation Estimationmentioning

confidence: 99%