Analysis of laser phase noise to intensity noise conversion by chromatic dispersion in intensity modulation and direct detection optical-fiber transmission

Yamamoto, S.; Edagawa, N.; Taga, H.; Yoshida, Yuki; Wakabayashi, Hitoshi

doi:10.1109/50.60571

Cited by 110 publications

(40 citation statements)

References 7 publications

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“…Clearly in both cases the transmitted power has stabilised more rapidly than the Q factor, strongly indicating that penalties from attenuation of the modulation sidebands do not dominate the observed BER variations. For the linewidth dependant errors, we follow standard analysis for phase shift keyed signals [26] and phase noise to intensity noise conversion [22,23] based on temporarily invariant linewidths.…”

Section: Performance Analysis Of Packetsmentioning

confidence: 99%

Time-Resolved $Q$-factor Measurement and Its Application in Performance Analysis of 42.6 Gbit/s Packets Generated by SGDBR Lasers

Mishra

Ellis

Barry

2010

J. Lightwave Technol.

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Abstract-We demonstrate a novel time-resolved Q-factor measurement technique and demonstrate its application in the analysis of optical packet switching systems with high information spectral density. For the first time, we report the time-resolved Q-factor measurement of 42.6 Gbit/s AM-PSK and DQPSK modulated packets, which were generated by a SGDBR laser under wavelength switching. The time dependent degradation of Q-factor performance during the switching transient was analyzed and was found to be correlated with different laser switching characteristics in each case.

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Section: Performance Analysis Of Packetsmentioning

confidence: 99%

Time-Resolved $Q$-factor Measurement and Its Application in Performance Analysis of 42.6 Gbit/s Packets Generated by SGDBR Lasers

Mishra

Ellis

Barry

2010

J. Lightwave Technol.

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“…6. For the Monte Carlo simulations, sequences of 2 18 were used, so only levels of BER lower than 10 −4 could be simulated with confidence. In addition, we checked the validity of our model against the numerical simulations for different ISI scenarios.…”

Section: B Ber and Source Linewidthmentioning

confidence: 99%

“…In Appendix V, we prove that the interferometric RIN is the same as in the case of incoherent direct-detection systems. The power spectral density N Y (f ) is therefore (see [18] and Appendix V)…”

Section: Fiber Dispersionmentioning

confidence: 99%

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Performance evaluation of optical DQPSK using saddle point approximation

Avlonitis

Yeatman

2006

J. Lightwave Technol.

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Abstract-In this paper, the authors derive the moment generating function (MGF) of the decision variable for a practical optical differential quadrature phase shift keying (DQPSK) receiver affected by phase noise and the amplifier spontaneous emission noise. The effect of the different optical filters, Gaussian, Fabry-Pérot (FP), and optical integrator, on the phase noise is examined. Using the saddle point approximation, the authors obtain numerically the bit error rate (BER) for the above system, as a function of the optical-signal-to-noise ratio (OSNR) and the source linewidth. The model is found to agree with previous published simulation results and the Monte Carlo simulations presented in this paper. The authors also calculate the BER floors for DQPSK inflicted by the phase noise and compare its performance with differential phase shift keying (DPSK). Finally, the authors examine the effect of interferometric demodulation on the relative intensity noise (RIN) spectra and the impact on the DQPSK system performance. In particular, the authors examine the influence of system dispersion on the receiver sensitivity.Index Terms-Differential phase shift keying (DPSK), moments method, optical communication.

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“…1 Phase noise can also be considered following such an approach, but only with the approximation that phase variations at a given frequency contribute solely to intensity variations at that same frequency -otherwise the calculation becomes intractable. 2 Analyses valid in the limiting cases of small amplitude variations (i.e., a small-signal model 3 ) and small propagation distance and low frequency 4 have also been presented. The small-signal model assumes that the optical field can be described as E͑t͒ p I 0 ͓1 1 D͑t͒ 1 if͑t͔͒exp͑iv 0 t͒, where D͑t͒ and f͑t͒ are small, zeromean amplitude variations and phase variations, respectively.…”

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confidence: 99%

Laser phase noise to intensity noise conversion by lowest-order group-velocity dispersion in optical fiber: exact theory

2000

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An exact result for the spectral density of intensity variations that occur after propagation of ergodic light in a medium having lowest-order-only group-velocity dispersion is obtained and applied to the problem of semiconductor laser phase noise to intensity noise conversion in a single-mode optical f iber. It is shown that the intensity spectrum after propagation formally approaches, for a large laser linewidth or a long (or highdispersion) f iber, the intensity spectrum of a thermal source having the same line shape as the laser.  2000 Optical Society of America OCIS codes: 060.2430, 140.5960, 260.2030, 270.2500 The conversion of optical phase variations to intensity variations by group-velocity dispersion (GVD) in optical fiber is a well-known phenomenon which occurs both for phase modulation and for phase noise. The effect of GVD in fiber on variations due to sinusoidal phase modulation can be modeled by expanding the time dependence of the phase-modulated input field in a Bessel-coeff icient Fourier expansion. 1Phase noise can also be considered following such an approach, but only with the approximation that phase variations at a given frequency contribute solely to intensity variations at that same frequency -otherwise the calculation becomes intractable. 2Analyses valid in the limiting cases of small amplitude variations (i.e., a small-signal model 3 ) and small propagation distance and low frequency 4 have also been presented. The small-signal model assumes that the optical field can be described as E͑t͒ p I 0 ͓1 1 D͑t͒ 1 if͑t͔͒exp͑iv 0 t͒, where D͑t͒ and f͑t͒ are small, zeromean amplitude variations and phase variations, respectively. This leads to an expression for the relative intensity noise (RIN) after dispersive propagation of the form RIN͑V, z͒ 4͓S DD ͑V͒ cos 2 u 2 Re S Df ͑V͒ sin 2uwhere V is the angular frequency, z is the propagation distance, and for lowest-order GVD, u 2b 00 0 zV 2 ͞2. Here S DD ͑V͒ is the spectral density of the normalized amplitude variations of the source, S ff ͑V͒ is the spectral density of phase variations of the source, and S Df ͑V͒ is the cross-spectral density characterizing amplitude-phase correlations of the source.The above-described model assumes that the total phase excursion is small, jf͑t͒j ,, 1. For a laser, whose phase exhibits a nonstationary random walk, this is true only over an interval on the order of the coherence time, t coh . The small-propagation-distance model 4 does not require that phase variations be small but yields results that are valid only over a narrow range of (low) frequencies. Practically speaking, both these approaches can fail in cases of large field linewidths and in situations involving large-angle phase modulation. The former is the subject of this Letter; the latter, which involves nonergodic fields, will be addressed in a separate publication. 5In this Letter we present an exact theory for the spectral density of the intensity of ergodic (i.e., time average ensemble average) light after propagation in a medium exhibiting lowe...

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Analysis of laser phase noise to intensity noise conversion by chromatic dispersion in intensity modulation and direct detection optical-fiber transmission

Cited by 110 publications

References 7 publications

Time-Resolved $Q$-factor Measurement and Its Application in Performance Analysis of 42.6 Gbit/s Packets Generated by SGDBR Lasers

Time-Resolved $Q$-factor Measurement and Its Application in Performance Analysis of 42.6 Gbit/s Packets Generated by SGDBR Lasers

Performance evaluation of optical DQPSK using saddle point approximation

Laser phase noise to intensity noise conversion by lowest-order group-velocity dispersion in optical fiber: exact theory

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