Blind phase recovery in general QAM communication systems using alternative higher order statistics

Cartwright, Kenneth V.

doi:10.1109/97.803437

Cited by 36 publications

(20 citation statements)

References 2 publications

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“…3 and Fig. 11 of [11], these monomial-based estimators perform poorly for cross QAM constellations, a fact that is also well-known for the Fourth Power Estimator [1]- [3].…”

Section: Review Of the Vandv Phase Estimatormentioning

confidence: 97%

“…These systems can be grouped into two areas -those that require established gain control and those that do not. The Fourth Power Phase Estimator [1]- [3], which is a special case of the Viterbi and Viterbi (V&V) monomial-based estimators [4], the Eighth-Order Estimator (EOE) [5], the Concentration Ellipse Orientation (CEO) [6], and more recently the iterative methods (DCA-a and DCA-b) of Alvarez-Diaz and Lopez-Valcarce [7] are systems in the latter category. Among the former category are the Reduced-Constellation Fourth Power Estimator [1], the two methods of Georghiades [1] which require finding the mode of the probability density of the phase, the rather complex Minimum Distance Estimator (MDE) [8], the TwoStage Conjugate (2SC) algorithm which according to Rice et al.…”

Section: Introductionmentioning

confidence: 99%

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GENp2-1: A Simple Improvement to the Viterbi and Viterbi Monomial-Based Phase Estimators

Cartwright

Kaminsky²

2006

IEEE Globecom 2006

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It is well known that the Viterbi and Viterbi MonomialBased Phase Estimator, which includes the M th Power Estimator, performs poorly for cross QAM signals. However, it is shown here that by allowing the power of the monomial to be negative, much improved performance can be realized at medium to high signalto-noise ratios (SNR). Monte Carlo simulations are used to demonstrate the efficacy of this novel simple extension, for 32-and 128-QAM systems. In principle, this extension can also be applied to other constellations, e.g., (4,12)-PSK. Keywords-Synchronization,blind phase estimation, quadrature amplitude modulation, blind carrier phase recovery.

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“…3 and Fig. 11 of [11], these monomial-based estimators perform poorly for cross QAM constellations, a fact that is also well-known for the Fourth Power Estimator [1]- [3].…”

Section: Review Of the Vandv Phase Estimatormentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

GENp2-1: A Simple Improvement to the Viterbi and Viterbi Monomial-Based Phase Estimators

Cartwright

Kaminsky²

2006

IEEE Globecom 2006

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“…The FOE algorithm is based on the blind CPE algorithm proposed by Cartwright [9]. For optical QAM signal the th coherently detected and dispersion compensated symbol before FOE can be represented by (1) where is the transmitted symbol, is the Gaussian additive noise, and is the phase difference between the optical carrier and the OLO, respectively.…”

Section: Foe Algorithm and Simulation Setupmentioning

confidence: 99%

Blind Carrier Frequency Offset Estimation Based on Eighth-Order Statistics for Coherent Optical QAM Systems

Chen

2011

IEEE Photon. Technol. Lett.

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We propose a carrier frequency offset estimation (FOE) algorithm based on eighth-order statistics for optical quadrature amplitude modulation (QAM) signals. The FOE algorithm does not involve fast Fourier transformation and can be implemented by hardware with little memory and computation resources. Simulation results show that in a 10.709-GBaud/s optical 16-QAM system, carrier frequency offset ranging between 1.25 GHz can be estimated with a uniform standard deviation of 2 MHz when the optical signal-to-noise ratio is 17 dB and symbols are utilized.

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“…This offset may affect the entire data packet. In this paper, we choose Cartwight's algorithm for residual frequency offset estimation [7].…”

Section: Carrier Phase Recoverymentioning

confidence: 99%

Upstream Channel Synchronization for Cable Modem System

Kim

Lee

et al. 2007

The 9th International Conference on Advanced Communication Technology

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The upstream of digital cable modem is a burst mode transmission system, where a burst contains the preamble and data. In this paper, we consider algorithms for the symbol timing, carrier frequency-and phase-offset recovery for the upstream cable modem, that are compliant to DOCSIS 2.0. Several algorithms are tested and verified to find the best algorithm for each of the three recovery blocks, respectively. To fit to the DOCSIS specification, Oerder & Meyr's is chosen for the timing recovery algorithm, Mengali & Morelli's is chosen for the carrier frequency-offset recovery algorithm and Cartwright's is chosen for blind carrier phase recovery. We decide the optimal preamble length for these algorithms and check the error variance. Finally, we show the error performance of the entire system. also consider the carrier phase offset recovery algorithm [7], [8].The system model is shown in Figure 1. The transmitter of the upstream cable modem consists of Reed-Solomon (RS) encoder, block interleaver, scrambler (randomizer), symbol mapper, transmit equalizer, and transmit filter. System descriptionThe upstream Physical Media Dependent (PMD) sublayer uses a Time Division Multiple Access (TDMA) burst type format. In upstream cable modem, required parameter values are summarized in Table 1.

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Blind phase recovery in general QAM communication systems using alternative higher order statistics

Cited by 36 publications

References 2 publications

GENp2-1: A Simple Improvement to the Viterbi and Viterbi Monomial-Based Phase Estimators

GENp2-1: A Simple Improvement to the Viterbi and Viterbi Monomial-Based Phase Estimators

Blind Carrier Frequency Offset Estimation Based on Eighth-Order Statistics for Coherent Optical QAM Systems

Upstream Channel Synchronization for Cable Modem System

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