Passband Timing Recovery in an All-Digital Modem Receiver

Godard, D.

doi:10.1109/tcom.1978.1094107

Cited by 118 publications

(28 citation statements)

References 13 publications

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“…The timing phase offset generated by the proposed symbol timing recovery algorithm is located close to the optimal timing phase offset compared to the Gardner [2] or band-edge algorithms [3] without help of the equalized data without feedback from the equalizer. Hence, the proposed algorithm can be used with the data aided approaches in the place of the Gardner algorithm for ATSC receivers.…”

Section: Introductionmentioning

confidence: 89%

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Adaptive blind timing recovery methods for MSE optimization

Chung

2012

EURASIP J. Adv. Signal Process.

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This article presents a non-data-aided adaptive symbol timing offset correction algorithm to enhance the equalization performance in the presence of long delay spread multipath channel. The optimal timing phase offset in the presence of multipath channels is the one jointly optimized with the receiver equalizer. The jointly optimized timing phase offset with a given fixed length equalizer should produce a discrete time channel response for which the equalizer achieves the minimum mean squared error among other discrete time channel responses sampled by different timing phases. We propose a blind adaptive baseband timing recovery algorithm producing a timing offset close to the jointly optimal timing phase compared to other existing non-data-aided timing recovery methods. The proposed algorithm operates independently from the equalizer with the same computational complexity as the widely used Gardner timing recovery algorithm. Simulation results show that the proposed timing recovery method can result in considerable enhancement of equalization performances.

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Section: Introductionmentioning

confidence: 89%

“…Most widely used timing recovery schemes are Gardner algorithm [2] and band-edge algorithm, or known as Godard algorihtm, [3]. The band-edge algorithms has originated from the output energy maximization (OEM) of sampled received signals, i.e., finding timing phase maximizing the energy of the sampled signals.…”

Section: Introductionmentioning

confidence: 99%

Adaptive blind timing recovery methods for MSE optimization

Chung

2012

EURASIP J. Adv. Signal Process.

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“…The Godard algorithm is a technique that estimates the timing error of a signal with at least two samples per symbol based on frequency domain coefficients [6]. Equation (2) shows an adaption of the discretized representation as used in [14].…”

Section: Multiplier-free Modified Godard Timing Recoverymentioning

confidence: 99%

Modified Godard Timing Recovery for Non Integer Oversampling Receivers

et al. 2017

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Abstract:A timing recovery algorithm is introduced that operates with less than two samples per symbol and provides an enormous complexity reduction. The complexity reduction is due to a synergy with the already existing Fourier transforms in a coherent receiver, an avoidance of terms that are dominated by noise, and a complete elimination of multiplications. A simulation and an experiment with a single carrier modulation format show that the inherent timing jitter is, despite of the significant complexity reduction, comparable with the state of the art, and in particular outperforms the Godard algorithm for low roll-off factors. In addition, it is one of the few algorithms that operates with less than two samples per symbol in the frequency domain, and thus enables the lowest complexity in a receiver.

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“…The architecture must also be rotation agnostic because carrier recovery is done after symbol synchronization. For RapidRadio, a modified passband timing recovery synchronizer with an oversampling rate of four is used [15,16]. This architecture was chosen because it extracts the timing information from a spectral component in the signal, making it independent of the actual modulation scheme being used.…”

Section: Symbol Timing Recoverymentioning

confidence: 99%

RapidRadio: A Domain-Specific Productivity Enhancing Framework

Surís

Recio

Athanas

2010

International Journal of Reconfigurable Computing

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The RapidRadio framework for signal classification and receiver deployment is discussed. The framework is a productivity enhancing tool that reduces the required knowledge-base for implementing a receiver on an FPGA-based SDR platform. The ultimate objective of this framework is to identify unknown signals and to build FPGA-based receivers capable of receiving them. The architecture of the receiver deployed by the framework and its implementation are discussed. The framework's capacity to classify a signal and deploy a functional receiver is validated with over-the-air experiments.

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Passband Timing Recovery in an All-Digital Modem Receiver

Cited by 118 publications

References 13 publications

Adaptive blind timing recovery methods for MSE optimization

Adaptive blind timing recovery methods for MSE optimization

Modified Godard Timing Recovery for Non Integer Oversampling Receivers

RapidRadio: A Domain-Specific Productivity Enhancing Framework

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