Timing jitter analysis of optimum non-data-aided symbol synchronizer for QAM

Pelet, E.R.; Salt, J.E.

doi:10.1109/tcomm.2010.04.090189

Cited by 7 publications

(6 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, the "best" sequences derived from the original (tractable) signal model are the "best" sequences for the augmented signal model. Fortunately, the self-noise can be reduced or even eliminated by increasing the length of the pilot to make L p L, prefiltering [25], [26], or some combination of the two.…”

Section: The Impact Of Unknown Datamentioning

confidence: 99%

Optimum Pilot Sequences for Data-Aided Synchronization

Shaw

Rice

2013

IEEE Trans. Commun.

View full text Add to dashboard Cite

We compute the pilot sequences that minimize the Cramér-Rao bound(CRB) for carrier phase offset, carrier frequency offset, and symbol timing offset estimation. If we require the pilot sequence to be drawn from a discrete set of constellation points, then the alternating sequence is the CRB-minimizing sequence. If we relax the constellation constraint and apply a total energy constraint, we obtain three different sequences that minimize the CRB for each of the synchronization parameters. We show that the maximum-likelihood (ML) estimator achieves the CRB for any of the sequences presented. We also explore the impact of using the pilot symbols in a preamble with unknown data symbols immediately following. The interference caused by the unknown data symbols reduces the performance of the ML estimator beyond an SNR threshold.

show abstract

Section: The Impact Of Unknown Datamentioning

confidence: 99%

Optimum Pilot Sequences for Data-Aided Synchronization

Shaw

Rice

2013

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…Solving for the timing parameter usually requires a feedback timing framework [8], [12], [16], [22], [24], as shown in Fig.2. In this figure, the ''TED parameter acquisition'' block is used to acquire parameters, which must be calculated before the timing error detector (TED).…”

Section: System Modelmentioning

confidence: 99%

Feedback Timing Method Based on Joint Optimization Function of Code Period and Timing Parameters in Non-Cooperative Communication

Qin

Wang

et al. 2019

IEEE Access

View full text Add to dashboard Cite

In non-cooperative communication, the code frequency, the pulse shaping filter and other prior parameters are unknown to the receiver, which increases the challenge of non-cooperative receiving system design. A straightforward method may estimate these parameters in advance following traditional receiving systems. Estimation errors will undoubtedly be involved and passed between stages, which will decease system performance, especially in low signal-to-noise ratio (SNR) scenarios. To address this problem, this paper constructs a carefully designed optimization function for timing estimation that combines both the code frequencies and the timing parameters from multiple chips. Consequently, a feedback-based tracking model is proposed to solve such an optimization function. Finally, extensive simulation results validate the efficiency of the proposed method, which achieves ten times better accuracy than the traditional method and can partially overcome the influence of code frequency deviations. INDEX TERMS Non-cooperative communication, timing estimation, Gardner detector, self-noise, early-late detector, code loop tracking.

show abstract

“…When the total system response was the raised cosine (RC), D'Andrea found that the Gardner timing synchronizer could minimize the timing jitter arising from both Gaussian noise and pattern noise with an appropriate prefilter . The algorithm proposed in the literature is systematically analyzed, and the theoretical derivation and the closed‐form expression of the loop are obtained in Pelet and Salt . In order to simplify the system design in D'Andrea and Luise, Pelet proposed a highpass infinite impulse response filter to eliminate the low‐frequency timing components in the Gardner timing error detector (TED) at the cost of accuracy degradation .…”

Section: Introductionmentioning

confidence: 99%

“…22 The algorithm proposed in the literature 22 is systematically analyzed, and the theoretical derivation and the closed-form expression of the loop are obtained in Pelet and Salt. 23 In order to simplify the system design in D'Andrea and Luise, 22 Pelet proposed a highpass infinite impulse response filter to eliminate the low-frequency timing components in the Gardner timing error detector (TED) at the cost of accuracy degradation. 24 Similarly, a combination of prefilter and postfilter design method can almost achieve jitter-free timing estimation in the square-law nonlinear (SLN) algorithm.…”

Section: Introductionmentioning

confidence: 99%

A new design of prefilter for reducing timing synchronization jitter

Chi

et al. 2017

Int J Communication

View full text Add to dashboard Cite

Summary For high‐precision timing synchronization in feedback Gardner algorithm and different feedforward nonlinear algorithms, timing jitter reduction is the key problem, especially with a small roll‐off factor in high‐order modulation. Through the elaborate analysis about the timing jitter, this paper proposes a new prefilter design method based on finite impulse response structure. Using a suitable Kaiser window for suppressing the sidelobe energy of the proposed prefilter, this method can further decrease the complexity of filter design and eliminate most part of the pattern noise. Compared with the previous prefilter design algorithms, the approach has a better improvement in steady‐state phase jitter reduction without increasing the capture time in Gardner timing error detector. Meanwhile, with such kind of prefilter, the performance of logarithmic nonlinearity is better than that of square law nonlinearity, this is not reported in literature. Simulation results show that the residual timing jitter in both kinds of algorithms is closed to the modified Cramer‐Rao bound when the roll‐off factor is equal to 0.1 in 1024QAM.

show abstract

Timing jitter analysis of optimum non-data-aided symbol synchronizer for QAM

Cited by 7 publications

References 16 publications

Optimum Pilot Sequences for Data-Aided Synchronization

Optimum Pilot Sequences for Data-Aided Synchronization

Feedback Timing Method Based on Joint Optimization Function of Code Period and Timing Parameters in Non-Cooperative Communication

A new design of prefilter for reducing timing synchronization jitter

Contact Info

Product

Resources

About