Andere Kunden interessierten sich auch für
![Iterative Timing Recovery]( "Iterative Timing Recovery")
Iterative Timing Recovery44,99 €![MIMO receivers using soft information]( "MIMO receivers using soft information")
MIMO receivers using soft information32,99 €![Efficient Interference Suppression for Diversity Wireless Receivers]( "Efficient Interference Suppression for Diversity Wireless Receivers")
Efficient Interference Suppression for Diversity Wireless Receivers32,99 €![Channel Shortening Equalizers for UWB Rake Receivers]( "Channel Shortening Equalizers for UWB Rake Receivers")
Channel Shortening Equalizers for UWB Rake Receivers32,99 €![Performance of GPS Receivers and Antennae in Telematics]( "Performance of GPS Receivers and Antennae in Telematics")
Performance of GPS Receivers and Antennae in Telematics44,99 €![The Impact of Circuit Nonlinearities and Noise in OFDM Receivers]( "The Impact of Circuit Nonlinearities and Noise in OFDM Receivers")
The Impact of Circuit Nonlinearities and Noise in OFDM Receivers38,99 €![Logic-Timing Simulation and the Degradation Delay Model]( "Logic-Timing Simulation and the Degradation Delay Model")
Logic-Timing Simulation and the Degradation Delay Model109,99 €
This dissertation presents a digital timing recovery framework for wireless cellular mobile receivers. The focus of this study is on the modelling of fast timing recovery receivers operating in low signal to noise ratio environments with limited signal power and bandwidths. In order to achieve this, a bandwidth and power efficient transmitter and wireless communication channel model has been developed. The developed model is incorporated into iterative turbo receivers for a new timing recovery framework. The turbo receiver iteratively computes soft decisions (with large dynamic range) that benefit the timing recovery model to generate reliable soft timing signals which in turn improves the decoding time. The proposed timing recovery scheme maximises on a turbo receiver s ability to optimize its performance in low signal to noise ratio conditions on the channel. The proposed timing recovery framework is applied to GSM, GPRS and EDGE communication systems which currently use bandwidth and power inefficient training data sequences for timing recovery process.