Data-aided Symbol Timing Estimation Research Articles

Data aided symbol timing estimation in space–time coding systems with continuous phase modulation

AbstractSpace–time coding has been proposed recently in the MIMO wireless communication systems for improving the capacity and data rate without bandwidth expansion. Symbol timing synchronisation is an important issue in such systems. In this paper, a novel data aided symbol timing estimation algorithm was proposed for burst‐mode transmission systems of space–time trellis coding combined with continuous phase modulation (CPM) for Rayleigh fading channels. A training sequence is embedded before transmission of each packet. The receiver calculates the Digital Fourier Transformation (DFT) of the phase of the differential signals. The symbol timing offset can be estimated from the phase of the tone component of the DFT outputs. MATLAB simulation results show that the variance of the timing estimation error is very small. This algorithm can estimate the initial timing offset rapidly and accurately. Space–time coding has been proposed recently in the MIMO wireless communication systems for improving the capacity and data rate without bandwidth expansion. Symbol timing synchronisation is an important issue in such systems. In this paper, a novel data aided symbol timing estimation algorithm was proposed for burst‐mode transmission systems of space–time trellis coding combined with continuous phase modulation (CPM) for Rayleigh fading channels. A training sequence is embedded before transmission of each packet. The receiver calculates the Digital Fourier Transformation (DFT) of the phase of the differential signals. The symbol timing offset can be estimated from the phase of the tone component of the DFT outputs. MATLAB simulation results show that the variance of the timing estimation error is very small. This algorithm can estimate the initial timing offset rapidly and accurately. Copyright © 2009 John Wiley & Sons, Ltd.

A low complexity symbol timing estimator for MIMO systems using two samples per symbol

A new algorithm for data-aided symbol timing estimation in multiple antenna systems is proposed. By utilizing the information about the transmitted pulse, the proposed method achieves better performance and lower computational complexity than the recently proposed discrete Fourier transform (DFT) based interpolation method. Further, the method needs only two samples per symbol which is half of the oversampling factor required by the DFT based interpolation method.

Data-Aided Symbol Timing Estimation for Linear Modulation

Summary Timing phase estimation (TPE) plays the key role in feedforward (FF) symbol timing.For reasons of performance often data-aided (DA) methods are preferred. But frequently, they turn out to be critical with respect to theimplementation and the spectrum efficiency (due to the required overhead).This paper presents three DA TPE methods for quadrature pulse amplitude modulation (PAM). In spite of their very low complexity, these methods closelyapproach the theoretical limit for timing estimation with respect to the estimation variance, even at low SNR. This enables power efficient transmission.Further, they employ a CAZAC (constant amplitude, zero auto-correlation)sequence as training-sequence (TS), or a sequence with similar correlationproperties. Since such sequences are suited for almost all DA receiver tasks, a high spectrum efficiency can be obtained by the use of a single TS. A generalization of the proposed methods for DA TPE withrespect to the choice of the TS is also shown. The presented methods can be applied to noncoherent receivers. They are suited for high data-rate applications, since they can work with an oversampling factor of 2.