Algorithms for iterative decoding in the presence of strong phase noise

Colavolpe, Giulio; Barbieri, A.; Caire, Giuseppe

doi:10.1109/jsac.2005.853813

Cited by 240 publications

(381 citation statements)

References 22 publications

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“…One observes the same differences and similarities between the expressions (6) and (9) as between the expressions (5) and (4). The criterion (8) is more general than (6): the phase messages need not to be represented as single values.…”

Section: Phase Ambiguity Resolutionmentioning

confidence: 70%

“…Several methods to approximate these integral (or, equivalently, to represent the messages along the S k edges) are proposed in [3] and [4]: numerical integration, particle methods, canonical distributions (Fourier, Gaussian and Tikhonov) and gradient methods ("steepest descent"); each of these methods leads to a different phase estimator.…”

Section: Phase Estimation Through Message Passingmentioning

confidence: 99%

“…In [1], phase estimators are derived from the expectation-maximization (EM) principle. In [2], [3] and [4], phase estimation algorithms are presented that are approximations of the sum-product message passing algorithm applied to factor graphs of the channel model. An EM based algorithm for phase ambiguity resolution is proposed in [5].…”

Section: Introductionmentioning

confidence: 99%

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Phase Estimation and Phase Ambiguity Resolution by Message Passing

Dauwels

Wymeersch

Loeliger

et al. 2004

Telecommunications and Networking - ICT 2004

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Abstract. Several code-aided algorithms for phase estimation have recently been proposed. While some of them are ad-hoc, others are derived in a systematic way. The latter can be divided into two different classes: phase estimators derived from the expectation-maximization (EM) principle and estimators that are approximations of the sum-product message passing algorithm. In this paper, the main differences and similarities between these two classes of phase estimation algorithms are outlined and their performance and complexity is compared. Furthermore, an alternative criterion for phase ambiguity resolution is presented and compared to an EM based approach proposed earlier.

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Section: Phase Ambiguity Resolutionmentioning

confidence: 70%

Section: Phase Estimation Through Message Passingmentioning

confidence: 99%

See 1 more Smart Citation

Phase Estimation and Phase Ambiguity Resolution by Message Passing

Dauwels

Wymeersch

Loeliger

et al. 2004

Telecommunications and Networking - ICT 2004

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“…From (15), the optimum delay is (16) with a minimum average variance (17) Fig. 4 reports the required receive-laser linewidth as a function of channel memory in the absence of DCE-obtained from (7)-or in the presence of DCE-obtained from (17) for different values of electronics noise PSD -to have , which, as obtained from (6) and confirmed by numerical simulations in Section VI, guarantees a penalty due to receive PN lower than 0.5 dB at for both SC and OFDM systems deploying a QPSK modulation format. For a typical photodetector value of 10 pW/ , the reported values of correspond to an available optical power at the input of the DPNE of , and dBm, respectively.…”

Section: Digital Coherence Enhancementmentioning

confidence: 99%

Impact of Phase Noise and Compensation Techniques in Coherent Optical Systems

Colavolpe

Foggi²,

Forestieri

et al. 2011

J. Lightwave Technol.

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Abstract-One of the most severe impairments that affect coherent optical systems employing high-order modulation formats is phase noise due to transmit and receive lasers. This is especially detrimental in uncompensated links, where an ideal compensator for channel distortions and laser phase noise should first eliminate receive phase noise, then equalize channel distortions, and only later compensate for transmit phase noise. Unfortunately, the simultaneous presence of transmit and receive phase noise makes very difficult to discriminate between them, even in the presence of a pilot tone. Moreover, the picture is different for optical systems using single-carrier or orthogonal frequency division multiplexing, where transmit and receive phase noise components may have a different impact. All these aspects are analyzed and discussed in this paper. A novel digital coherence enhancement (DCE) technique, able to significantly reduce the phase noise of transmit or receive lasers by using an interferometric device plus a very simple electronic processing, is also described. The performance of this technique and the statistical properties of the residual phase noise are analytically derived and verified by simulations, showing a high increase of the maximum bit-rate-distance product. The practical implementation of DCE is finally discussed and some alternative implementation schemes are presented.Index Terms-Coherent detection, group velocity dispersion (GVD), optical communication, orthogonal frequency division multiplexing (OFDM), phase noise.

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“…A partial list of work on this approach includes [6]- [9]. Of particular interest has been the work of Colavolpe et al [7] where phase-tracking processing nodes were introduced in the iterative decoding graph. Dauwels et al [9] also investigated specially adapted message-passing update rules.…”

Section: Introductionmentioning

confidence: 99%

Carrier and Timing Synchronization of BPSK via LDPC Code Feedback

Valles

Wesel

Villasenor

et al. 2006

2006 Fortieth Asilomar Conference on Signals, Systems and Computers

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Abstract-In traditional receiver architectures, symbol acquisition and tracking are performed using phase lock techniques that are independent of the channel-code decoding process. In [1] feedback from the constraint-node side of a bi-partite graph is used to estimate symbol frequency and timing offset in a baseband pilotless transmission. In [2] soft information feedback from an LDPC decoder is used to recover carrier phase information under the assumption of perfect symbol timing. In this paper we address the problem of joint carrier-phase and symbol timing recovery. The proposed system is able to perform within 0.3 [dB] of the code performance with perfect knowledge of carrier phase and symbol timing.

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Algorithms for iterative decoding in the presence of strong phase noise

Cited by 240 publications

References 22 publications

Phase Estimation and Phase Ambiguity Resolution by Message Passing

Phase Estimation and Phase Ambiguity Resolution by Message Passing

Impact of Phase Noise and Compensation Techniques in Coherent Optical Systems

Carrier and Timing Synchronization of BPSK via LDPC Code Feedback

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