Characterizing filtered light waves corrupted by phase noise

Foschini, G.J.; Vannucci, G.

doi:10.1109/18.21283

Cited by 174 publications

(124 citation statements)

References 27 publications

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“…Actually, as pointed out in [4], since the effect of filtering is to convert phase fluctuations in amplitude variations, phase noise can have a detrimental effect not only for the case of phase modulations (PMs) but also in that of amplitude modulations (AMs), but the PM-AM conversion is totally neglected 100 in the DTW.…”

Section: Continuous-time Wiener Sampled Matched Filter Modelmentioning

confidence: 99%

“…Upper bounds on the SNR penalty due to phase noise with arbitrary discretization in time domain are given in [32]. In [4] it is shown that phase noise introduced by laser oscillators can be modeled as a continuous-time Wiener 35 process. The random phase of a continuous-time Wiener process evolves as…”

Section: Introductionmentioning

confidence: 99%

“…Phase noise is due to both laser oscillators used for up-and down-conversion [4], and to crossphase modulation that arises in wavelength-division-multiplexing systems [5]. 5 A recent tutorial on transmission over phase noise channels is [6].…”

Section: Introductionmentioning

confidence: 99%

“…The model defined by (4) and (5) is commonly assumed in computer simulations for bit-error rate (BER) evaluation. Remarkably, the experimental results presented in [34] show that the model in (4) and (5) can be adopted to describe carrier phase noise after nonlinear propagation in different transmission scenarios.…”

mentioning

confidence: 99%

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On discrete-time modeling of the filtered and symbol-rate sampled continuous-time signal affected by Wiener phase noise

Mandelli

Magarini

Spalvieri

et al. 2015

Optical Switching and Networking

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This paper investigates the differences between the symbol-spaced discrete-time Wiener phase noise channel model, commonly assumed in the literature to represent the effect of phase noise, and that obtained by symbol-rate sampling the filtered continuous-time received signal affected by continuous-time Wiener phase-noise. In particular, for comparison, we consider some statistical tests to check temporal and distributional properties of the two models. We show that the fit between the two models is very good even for quite strong values of phase noise. The main result is that when the standard deviation of the discrete-time Wiener phase noise increment σ P N is below a threshold of approximatelyσ P N ≃ 0.1 rad, the discrete-time Wiener model provides a good approximation to the actual symbol-spaced sampled filtered signal affected by continuous-time Wiener phase noise. We show that when σ P N is below σ P N the ratio between the power of the signal and the power of the model mismatch is greater than 20 dB. Simulation results are also presented to compare bit error rates of the two models in case of QPSK and 16-QAM transmission and to compare the power spectral densities of their associated complex exponential phase noises. Our results suggest that the discrete-time Wiener phase noise model can be adopted for many real-world systems, where, according to experimental results available in the literature, σ P N in the order of 0.1 rad is rarely found even when the nonlinearity of the optical channel is deeply stressed.

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Section: Continuous-time Wiener Sampled Matched Filter Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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On discrete-time modeling of the filtered and symbol-rate sampled continuous-time signal affected by Wiener phase noise

Mandelli

Magarini

Spalvieri

et al. 2015

Optical Switching and Networking

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“…In (Hanzo et al, 2000), a white phase noise model is discussed, but it cannot describe the statistical process of phase noise. In (Foschini & Vannucci, 1988), a Wiener phase noise model is discussed, but it cannot describe the low-frequency phase noise, since this part of phase noise is an unstationary process. As different phase noise will bring different effects on BiSAR (see Fig.…”

Section: Model Of Phase Noisementioning

confidence: 99%

Bistatic Synthetic Aperture Radar Synchronization Processing

Wang¹

2010

Radar Technology

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Analysis and design of a DPSK optical heterodyne receiver in the presence of laser phase noise and frequency detuning

Gini

Luise

Reggiannini

1995

Int J Communication

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This paper is concerned with the analysis and design of an improved differential heterodyne optical receiver for differentially‐encoded binary PSK (briefly, DPSK) signals in a coherent lightwave communication system. In the first part of the paper, we discuss the relevant design criteria to be employed when dealing with asynchronous heterodyne receivers for ASK, FSK or DPSK optical signals. In particular, we introduce a convenient definition of the signal‐to‐noise ratio at the data detector input to be assumed as the system performance measure when the non‐negligible linewidth of the transmit/receive laser sources are to be taken into account. Following this design approach, we show that by properly modifying the traditional delay‐and‐multiply DPSK receiver, i. e. by allowing the delay to be a fraction of the symbol interval, we can considerably reduce the performance degradation caused by laser phase noise. We show thus that the superior power‐efficiency of DPSK can be traded in favour of a decreased sensitivity to phase noise through a proper choice of the differential detector delay. In this respect, our results reveal that DPSK may still be competitive with other modulation formats even with non‐negligible linewidth sources. In the last part of the paper, the behaviour of the optimized DPSK, ASK and large‐deviation FSK data demodulators in the presence of a quasistationary frequency detuning of the local laser is also discussed under the same set of conditions as in the previous analysis. The results can be employed to derive accurate design requirements for the AFC loop of the receiver.

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Characterizing filtered light waves corrupted by phase noise

Cited by 174 publications

References 27 publications

On discrete-time modeling of the filtered and symbol-rate sampled continuous-time signal affected by Wiener phase noise

On discrete-time modeling of the filtered and symbol-rate sampled continuous-time signal affected by Wiener phase noise

Bistatic Synthetic Aperture Radar Synchronization Processing

Analysis and design of a DPSK optical heterodyne receiver in the presence of laser phase noise and frequency detuning

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