The present disclosure relates to compensating for optical transmission impairments in the electronic or software domain.
Channel impairments in transmission systems result in signal degradation and thus limit the carrying capacity of these systems. In optical transmission systems, some of these impairments are linear (e.g., fiber chromatic dispersion or CD) and some are non-linear (e.g., cross-phase modulation and four-wave mixing caused by the Kerr effect). To minimize the effect of impairments, transmission systems may include various types of compensation systems or devices. A signal can be modified before, or as part of, transmission to account for the effect of impairment (a technique known as pre-compensation). Conversely, knowledge about an impairment can be used to modify a received signal to compensate for the impairment (a technique known as post-compensation). Such compensation systems or devices can be implemented in the optical domain or in the electrical/electronic domain.
Many aspects of the disclosure can be better understood with reference to the following drawings. The components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure.
The inventive techniques described herein compensate for optical distortion, using backward propagation in the electrical domain. Specifically, digital backward propagation in the digital domain is used to convert the received optical signal into an estimate of the transmitted signal. This digital backward propagation process involves solving one or more equations which model a virtual optical transmission channel corresponding to the physical optical transmission channel. The model uses channel parameter values that are opposite to (“backward” from) the physical channel parameters. Applying the model to the received optical signal thus compensates for impairments produced by the physical channel.
Optical signal 125 travels through an optical channel 130, which includes optical fiber 140. Optical fiber 140 introduces various types of distortion, resulting in a distorted optical signal 145. Distorted optical signal 145 is demultiplexed by frequency demultiplexer 150 and provided to one or more optical detectors 160, which convert the distorted optical signal to a signal in the electrical domain, Distorted electrical signal 165 is processed in the electrical (digital) domain by impairment compensation logic 170 to remove distortion produced in the optical (physical) domain. Impairment compensation logic 170 operates by modeling the characteristics of optical fiber 140 in a virtual optical fiber 180. The output of impairment compensation logic 170 is a compensated electrical signal 185. Carried within the demultiplexed and compensated electrical signal 185 is data which is a replica (or near replica) of the originally transmitted data.
Impairment compensation logic 170 utilizes a virtual fiber model which accounts for, and reverses the effect of, various impairments introduced by optical fiber 140. Examples of such impairments include: fiber dispersion; self-phase modulation or SPM (an intra-channel impairment); cross-phase modulation or XPM (an inter-channel impairment); and four-wave mixing or FWM (another inter-channel impairment). Different types of impairments can be accounted for using different models. A form of selective compensation is described herein which fully compensates for fiber dispersion, SPM, and XPM, as well as partially compensating for four-wave mixing. This technique compensates for FWM interaction on a channel-by-channel basis by considering the nonlinear interaction of the neighboring channels. Embodiments of impairment compensation logic 170 which perform partial FWM compensation, while also fully compensating for fiber dispersion, SPM, and XPM, are referred to herein as partial FWM compensation logic 170PF.
Propagation of an optical field in fiber span 220 is governed by a z-reversed nonlinear Schrödinger equation (NLSE). The NLSE uses parameters which correspond to the characteristics of the physical optical fiber (140 in
A form of the back propagation NLSE which takes into account the total electrical field to compensate for all forms of fiber impairment is called T-NLSE. T-NLSE governs propagation of the total field including second and third order dispersion compensation and the full compensation of SPM, XPM and FWM. T-NLSE is given by:
where, βj represents the j th-order chromatic dispersion parameter, α is the absorption coefficient, γ is the nonlinear parameter, and t is the retarded time frame. Other impairments including scattering (Raman, Rayleigh and Brillouin scattering) can also be included in the T-NLSE.
A form of selective compensation which omits the effect of four-wave-mixing (FWM) in backward propagation is achieved by introducing the electric field expression E into Eq. 1, expanding the |E|2 term and neglecting the terms related to FWM. This results in the following system of coupled equations referred to herein as “coupled NLSE” (C-NLSE):
where, K1m=mβ2Δω−m2β3Δω2/2, K2m=iβ2/2−mβ3Δω/2 and K3m=−β3/6. C-NLSE (Eq. 2) thus describes the backward propagation of fiber channels where only dispersion, self-phase modulation and cross-phase modulation are compensated (i.e., FWM is not compensated for). Further details of various embodiments of fiber impairment compensation logic which solve C-NLSE are described in U.S. Ser. No. 12/351,444, entitled “Electronic Post-Compensation of Optical Transmission Impairments Using Digital Backward Propagation” (U.S. Pat. Pub. 20090214215), which is hereby incorporated herein in its entirety.
Although C-NLSE reduces the amount of computational resources as compared to T-NLSE by omitting compensation for FWM, FWM can substantially impair the signal in low dispersion regimes because of an increased degree of phase matching. Therefore, another form of selective compensation is described herein which partially compensates for (rather than omits) the effect of FWM. This technique compensates for FWM interaction on a channel-by-channel basis by considering the nonlinear interaction of the neighboring channels. This interaction is captured by rewriting Eq. 2 as
EC└Êm┘=C└Êm┘+F3m+F5m=0 (Eq. 3)
where F3m=2Êm+1Êm−1Êm*,
F5m=Êm+12Ê*m+2*+Êm−12Êm−2*+2Êm−1Êm+1Êm+1*+2Êm+1Êm−2Êm−1+2Êm+2Êm−2Êm* (Eq. 4).
F3 represents the FWM interaction of two neighboring channels, whereas F5 represents the interaction of four neighboring channels. The system of coupled equations in Eq. 3 is referred to herein as “enhanced coupled NLSE” or EC-NLSE.
EC-NLSE does not significantly add to computational complexity as compared to C-NLSE, since only a small number of FWM terms are considered by EC-NLSE. However, these terms are highly phase-matched so the compensation achieved for this additional cost is significant.
As noted above, partial FWM compensation logic 170PF uses a backward propagation process to solve the EC-NLSE for the various fiber spans 220. Because the dispersive and nonlinear contributions to impairment are considered to be independent within a relatively short propagation length, logic 170PF decomposes the backward propagation into a series of iterations or steps. Some embodiments of logic 170PF use the split-step method (SSM) to solve the EC-NLSE. The split step method (SSM) is a technique for solving nonlinear equations in this step-wise manner.
Step module 400 uses a sum operation 460 at each sub-step in order to include the FWM contribution on each channel, as calculated by an FWM calculation unit 450. Similarly, step module 400 uses a sum operation 470 at each sub-step in order to account for the XPM calculation on each channel, as calculated by XPM calculation unit 440.
Power operator 420 implements the function P(x)=|x|2, and exponential operator 430 implements the function E(x)=exp(iγxh), where h is the step size. Dispersion operator 440 implements Dm(x)=F−1 [HmF(x)], where F represents the Fourier Transform of x. The transfer function for fiber dispersion and loss is
It should be appreciated that dispersion operator 410 can be implemented in various ways, in either the frequency domain (e.g., overlap-and-add method, overlap-and-save method) or the time domain (e.g., finite impulse response (FIR) filter, infinite impulse response (IIR) filter). This example uses the non-symmetric SSM configuration, but the symmetric configuration and other configurations with sub-step iterations are also within the scope of this disclosure. Although the step module of
The version of the split-step method implemented by step module 400 to solve EC-NLSE uncouples the linear and nonlinear contributions on EC-NLSE over a short distance. This version is accurate provided the step size h is shorter than the minimum walk-off length between channels, i.e., h<β2(N−1)/Δω, where Δω=2πΔf and Δf is channel spacing.
An enhanced variation of a single step will now be described, one which takes into account the effect of dispersive walk-off between WDM channels when solving EC-NLSE. The nonlinear phase shift φm (including contributions from SPM and XPM) is defined as:
Step module 400 (described above) uses an approximation to Eq. 5 as follows:
In contrast, the representation used by the enhanced split-step includes the time delay caused by the dispersive walk-off:
where dmk=β2(ωm−ωk) is the walk-off parameter between channel m and channel k. This variation focuses on the XPM contribution to the phase shift by defining
Taking the Fourier transform of Eq. 8 results in the following expression for the XPM phase shift, now in the frequency domain,
Having factorized the walk-off effect, the above expression can be approximated by,
In Eq. 10 the frequency domain optical intensities can be regarded as constant over the interval, provided that the step size is smaller than the distance after which dispersive effects over individual channels take place. In other words, the fastest dispersive variation of the WDM channels is no longer the walk-off (which has been factorized) and, as a consequence, the step-size can be significantly increased. Finally, by performing integration, Eq. 10 becomes,
where W(ω) is a linear filter which takes into account the effect of the walk-off on the XPM nonlinear phase shift, i.e.,
The XPM contribution on each channel is calculated by block 530. Before processing by XPM block 530, the signal is operated on by a fast Fourier transform (FFT) block 540. The signal is also operated on by an inverse FFT block 550 after processing by XPM block 530. Enhanced step module 500 uses a sum operation 560 at each sub-step in order to include the XPM calculation.
The FWM contribution on each channel is calculated by block 570, and the FWM contribution is included by sum operation 580. Finally, a dispersive operator 590 is applied. Dispersion operator 590 is calculated as Dm(x)=φ−1[Hmφ(x)], where φ(x) represents the Fourier Transform of x.
While enhanced step module 500 was described in conjunction with compensation logic for solving EC-NLSE, the enhanced split step of module 500 can also be used by compensation logic for solving C-NLSE. Although the step module of
A receiver 630 mixes the signal in a 90° optical hybrid 640 with a set of phase-locked local oscillators 650, since FWM is sensitive to inter-channel relative phase. After demultiplexing (block 660), a set of balanced photo-detectors 670 obtains in-phase and quadrature components of each WDM channel. The I and Q components are provided to complex field reconstructor 680, which produces the complex form of the signal for each channel, E^1 . . . E^N (Ej=Ij+iQj). Partial FWM compensation logic 170PF uses the techniques described above to model for partial FWM compensation and produce E^1out . . . E^Nout. The originally transmitted data d1 to dN is recovered then recovered through phase estimation (block 690).
In the embodiment of
Partial FWM compensation logic 170PF can be embodied in any computer-readable medium for use by or in connection with a processor. In the context of this disclosure, a “computer-readable medium” can be any means that can contain or store the instructions for use by the processor. The computer readable medium can be, for example but not limited to, a system or that is based on electronic, magnetic, optical, electromagnetic, or semiconductor technology.
Specific examples of a computer-readable medium using electronic technology would include (but are not limited to) the following: random access memory (RAM); read-only memory (ROM); and erasable programmable read-only memory (EPROM or Flash memory). A specific example using magnetic technology includes (but is not limited to) a portable computer diskette. Specific examples using optical technology include (but are not limited to) compact disk (CD) and digital video disk (DVD).
The foregoing description has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Obvious modifications or variations are possible in light of the above teachings. The implementations discussed, however, were chosen and described to illustrate the principles of the disclosure and its practical application to thereby enable one of ordinary skill in the art to utilize the disclosure in various implementations and with various modifications as are suited to the particular use contemplated. All such modifications and variation are within the scope of the disclosure as determined by the appended claims when interpreted in accordance with the breadth to which they are fairly and legally entitled.
This application claims priority to U.S. Provisional Application having Ser. No. 61/161,867, filed Mar. 20, 2009, which is hereby incorporated by reference herein in its entirety.
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Number | Date | Country | |
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20100239262 A1 | Sep 2010 | US |
Number | Date | Country | |
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61161867 | Mar 2009 | US |