Fiber nonlinear noise monitoring method and apparatus and optical receiver
US-2020106523-A1 · Apr 2, 2020 · US
US11626928B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11626928-B2 |
| Application number | US-202117506133-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 20, 2021 |
| Priority date | Nov 20, 2020 |
| Publication date | Apr 11, 2023 |
| Grant date | Apr 11, 2023 |
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A performance estimation apparatus and method for a nonlinear communication system and an electronic device. The nonlinear communication system is equated with by an equivalent model including an equivalent linear model and an equivalent additive noise model, and the equivalent additive noise outputted by the equivalent additive noise model is mathematically uncorrelated to the signal inputted into the equivalent model. Performances of the nonlinear communication system of different modulation formats at different baud rates may be accurately estimated.
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What is claimed is: 1. An apparatus for performance estimation for a nonlinear communication system, the apparatus comprising: a memory that stores a plurality of instructions; and a processor coupled to the memory and configured to: input a first signal transmitted by a transmitter of the nonlinear communication system into an equivalent model used for equating with the nonlinear communication system; and estimate a performance of the nonlinear communication system according to a second signal outputted by the equivalent model and the first signal; wherein the equivalent model comprises an equivalent linear model and an equivalent additive noise model, the equivalent additive noise model attaching an equivalent additive noise to an output signal of the equivalent linear model to obtain the second signal, the equivalent additive noise being mathematically uncorrelated to the first signal. 2. The apparatus according to claim 1 , wherein the equivalent additive noise outputted by the equivalent additive noise model is an orthogonal term of a fourth signal outputted after a third signal is inputted into the nonlinear communication system, the third signal and the first signal belonging to the same type of signal. 3. The apparatus according to claim 2 , wherein the orthogonal term of the fourth signal is obtained according to the fourth signal and a fifth signal outputted after the third signal is inputted into the equivalent linear model. 4. The apparatus according to claim 1 , wherein the equivalent additive noise outputted by the equivalent additive noise model is a first noise signal having a spectral characteristic and probability distribution function characteristic identical to those of an orthogonal term of a sixth signal, the sixth signal being a signal outputted after the first signal is inputted into the nonlinear communication system. 5. The apparatus according to claim 4 , wherein the first noise signal is obtained by: generating a composite sinusoidal signal of equal amplitudes and ransom phases, a total bandwidth and sequence length of the composite sinusoidal signal being identical to a bandwidth and sequence length of the orthogonal term of the sixth signal; adjusting probability distribution function of the composite sinusoidal signal to be identical to probability distribution function of the orthogonal term of the sixth signal; performing Fourier transform on the composite sinusoidal signal with adjusted probability distribution function and the orthogonal term of the sixth signal; adjusting amplitudes of a Fourier transformed composite sinusoidal signal, so that a spectral shape of the composite sinusoidal signal is in consistence with a spectral shape of a Fourier transformed orthogonal term of the sixth signal; performing inverse Fourier transform on the composite sinusoidal signal with an adjusted spectral shape to obtain the composite sinusoidal signal in a time domain; calculating a difference of a probability density function between the inversely Fourier transformed composite sinusoidal signal and the orthogonal term of the sixth signal; and taking the composite sinusoidal signal in the time domain as the first noise signal when the difference is less than a preset threshold, and repeating the generating, the adjusting of probability distribution function of the composite sinusoidal signal, the performing of the adjusting of the amplitudes of the Fourier transformed composite sinusoidal signal, the performing of the inverse Fourier transform on the composite sinusoidal and the calculating of the difference, when the difference is greater than or equal to the preset threshold, until the difference is less than the preset threshold. 6. The apparatus according to claim 4 , wherein the first noise signal is obtained by: determining an amplitude frequency response filter and an inverse filter of the amplitude frequency response filter; inputting a seventh signal into the inverse filter, the seventh signal and the first signal belonging to the same type of signal; randomly shuffling signal sequences outputted by the inverse filter in the time domain a time domain; and inputting shuffled signal sequences into the amplitude frequency response filter, and taking an output signal of the amplitude frequency response filter as the first noise signal. 7. The apparatus according to claim 1 , wherein the equivalent additive noise outputted by the equivalent additive noise model is a noise having the same spectral characteristic as an orthogonal term of a sixth signal, the sixth signal being a signal outputted after the first signal is inputted into the nonlinear communication system. 8. The apparatus according to claim 1 , wherein the equivalent additive noise outputted by the equivalent additive noise model is a noise having the same power as an orthogonal term of a sixth signal, the sixth signal being a signal outputted after the first signal is inputted into the nonlinear communication system. 9. The apparatus according to claim 1 , wherein the equivalent additive noise outputted by the equivalent additive noise model is a noise having the same probability distribution function characteristic as an orthogonal term of a sixth signal, the sixth signal being a signal outputted after the first signal is inputted into the nonlinear communication system.
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for the reduction or elimination of distortion or dispersion · CPC title
Noise analysis or noise optimisation · CPC title
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