CN106301552A - The determination method and device of OSNR OSNR - Google Patents

Abstract

The invention provides the determination method and device of a kind of OSNR OSNR, wherein, the method comprises determining that noise power modifying factor k；Noise power P of detected optical signal is revised according to the k determined_N；According to revised noise power P_ASEDetermine OSNR OSNR.By the present invention, solve the problem that the OSNR error of detection is big present in correlation technique, and then reached the effect of the OSNR error reducing detection.

Description

The determination method and device of OSNR OSNR

Technical field

The present invention relates to the communications field, in particular to the determination method and device of a kind of OSNR OSNR.

Background technology

OSNR (Optical Signal-Noise Ratio, referred to as OSNR) is the most important performance parameter of optical signal physical layer One of, in the optical transmission chain of multistage optical amplifier cascade, OSNR is directly related with the final bit error rate of data signal reception. Monitored by OSNR, the early warning of earlier damage and fault can be carried out with the root of traceability system penalty, start and compensate all The critical functions such as weighing apparatus mechanism.Traditional OSNR measuring method is linear interpolation, measures wavelength-division multiplex (Wavelength Division Multiplexing, referred to as WDM) channel interval at spontaneous radiation amplify (Amplified Spontaneous Emission, Referred to as ASE) noise power, then use the linear interpolation of channel both sides ASE noise power as in WDM channel strip ASE noise power, thus record OSNR value.Spectroanalysis instrument is generally used to carry out WDM with 0.1nm resolution bandwidth The measurement of channel OSNR.In the point-to-point optical transmission chain only comprising cascade image intensifer, said method can accurately be estimated OSNR level.But comprise ROADM (Reconfigurable Optical Add-Drop Multiplexer, Referred to as ROADM) and the optical-fiber network of optical cross-connect (Optical Cross-Connect, referred to as OXC) in and In Nyquist-WDM system, the outer OSNR measuring method of above-mentioned band will be the most applicable, it is necessary to carries out carrying interior optical signal-to-noise ratio monitoring.

In band, OSNR monitoring method has two big classes: data auxiliary law, non-data aided method.Data auxiliary law needs light emission Machine is transformed, and reduces spectrum utilization efficiency.Unbound nucleus method, has polarization zero setting method, delayed interference method, beat frequency Noise Method, Error Vector Magnitude method, rank moments method.In these methods, Error Vector Magnitude method and rank moments method implement relatively easy, It is suitable for linear light communication system, but monitoring error is relatively large.

Error Vector Magnitude method is the Error Vector Magnitude monitoring light letter by measuring planisphere and the reference constellation figure receiving optical signal Make an uproar ratio, need first relevant light receiving signal to be carried out frequency deviation, make an uproar estimation mutually, monitor system complex, and with modulation format phase Close.Rank moments method assumes ASE noise and the optical signal statistical iteration of image intensifer, and does not interact, relevant by calculating The second moment of optical modulator signal and Fourth-order moment, monitor OSNR, also relevant to modulation format.Error Vector Magnitude method and rank square Method assumes that signal and noise do not interact, and using the noise that calculated as the ASE noise of amplifier, has therefore over-evaluated ASE Noise, the OSNR error causing monitoring is bigger.

For the problem that the OSNR error of detection present in correlation technique is big, effective solution is the most not yet proposed.

Summary of the invention

The invention provides the determination method and device of a kind of OSNR OSNR, at least to solve to examine present in correlation technique The big problem of OSNR error surveyed.

According to an aspect of the invention, it is provided a kind of determination method of OSNR OSNR, comprise determining that noise power Modifying factor k；Noise power P of detected optical signal is revised according to the k determined_N；According to revised noise power P_ASE Determine OSNR OSNR.

Further, it is determined that noise power modifying factor k comprises determining that general power P of described optical signal_totalWith described optical signal Noise power P_N；According to the described P determined_totalWith described P_NDetermine described k, including, determine described k by equation below:Wherein, P_sig=P_total-P_N。

Further, described P is determined by equation below_total: P_total=E{ | y |², wherein, E{} is second moment computing, Y={y_n, y_nThe value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, n is positive integer；And/or, pass through Equation below determines described P_N: P_N=(std{ | Re (y) | })²+(std{|Im(y)|})², wherein, y={y_n, y_n The value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n)_,Re(y_n) it is real part, Im (y_n) it is imaginary part, std{ | Re (y) | } it is that real part is absolute The root-mean-square of value, std{ | Im (y) | } it is the root-mean-square of imaginary part absolute value, n is positive integer；Wherein, described predetermined process includes: Described optical signal is carried out coherent demodulation, obtains real part and the imaginary part of the optical signal after coherent demodulation；Real part to described optical signal Carry out processing across resistance amplification and analog to digital conversion, carry out amplifying and analog to digital conversion process across resistance to the imaginary part of described optical signal；To process Real part and imaginary part after resistance is amplified and analog to digital conversion processes all carry out Digital Signal Processing；To the reality after Digital Signal Processing Portion and imaginary part all carry out dispersion equilibrium.

Further, noise power P of detected optical signal is revised according to the k determined_NIncluding: by equation below correction institute State P_N: $P_{\mathrm{ASE}}=\frac{P_N(1+2k)}{{(1+{10}^{-2k})}^2}.$

Further, according to revised noise power P_ASEDetermine that OSNR OSNR includes: determine letter by equation below Number carrier-to-noise ratio CNR:Described OSNR is determined by equation below: $\mathrm{OSNR}=10{\log }_{10}\left(\mathrm{CNR}\right)+10{\log }_{10}\left(\frac{R_B}{B_r}\right),$ Wherein, R_BFor chip rate, B_rFor measuring light noise The reference bandwith of ratio.

According to a further aspect in the invention, it is provided that the determination device of a kind of OSNR OSNR, including: first determines module, For determining noise power modifying factor k；Second determines module, for revising the noise of detected optical signal according to the k determined Power P_N；3rd determines module, for according to revised noise power P_ASEDetermine OSNR OSNR.

Further, described first determines that module includes: first determines unit, for determining general power P of described optical signal_totalWith Noise power P of described optical signal_N；Second determines unit, for according to the described P determined_totalWith described P_NDetermine described k, Including, determine described k by equation below:Wherein, P_sig=P_total-P_N。

Further, described P is determined by equation below_total: P_total=E{ | y |², wherein, E{} is second moment computing, Y={y_n, y_nThe value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, n is positive integer；And/or, pass through Equation below determines described P_N: P_N=(std{ | Re (y) | })²+(std{|Im(y)|})², wherein, y={y_n, y_n The value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n)_,Re(y_n) it is real part, Im (y_n) it is imaginary part, std{ | Re (y) | } it is that real part is absolute The root-mean-square of value, std{ | Im (y) | } it is the root-mean-square of imaginary part absolute value, n is positive integer；Wherein, described predetermined process includes: Described optical signal is carried out coherent demodulation, obtains real part and the imaginary part of the optical signal after coherent demodulation；Real part to described optical signal Carry out processing across resistance amplification and analog to digital conversion, carry out amplifying and analog to digital conversion process across resistance to the imaginary part of described optical signal；To process Real part and imaginary part after resistance is amplified and analog to digital conversion processes all carry out Digital Signal Processing；To the reality after Digital Signal Processing Portion and imaginary part all carry out dispersion equilibrium.

Further, described second determines that module includes: by P described in equation below correction_N:

Further, the described 3rd determines that module includes: determine signal carrier-to-noise ratio CNR by equation below:Described OSNR is determined by equation below: $\mathrm{OSNR}=10{\log }_{10}\left(\mathrm{CNR}\right)+10{\log }_{10}\left(\frac{R_B}{B_r}\right),$ Wherein, R_BFor chip rate, B_rFor measuring light noise The reference bandwith of ratio.By the present invention, use and determine noise power modifying factor k；Detected light letter is revised according to the k determined Number noise power P_N；According to revised noise power P_ASEDetermine OSNR OSNR.Utilize revised noise power Calculate OSNR and can improve the precision of calculating, reduce and calculate error, thus solve the light of detection present in correlation technique The problem that signal to noise ratio error is big, and then reached the effect of the OSNR error reducing detection.

Accompanying drawing explanation

Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, and the present invention shows Meaning property embodiment and explanation thereof are used for explaining the present invention, are not intended that inappropriate limitation of the present invention.In the accompanying drawings:

Fig. 1 is the flow chart of the determination method of OSNR OSNR according to embodiments of the present invention；

Fig. 2 is the structured flowchart of the determination device of OSNR OSNR according to embodiments of the present invention；

Fig. 3 be OSNR OSNR according to embodiments of the present invention determination device in the first structured flowchart determining module 22；

Fig. 4 is the entirety of OSNR monitoring in optical communication system band based on second moment and noise correction according to embodiments of the present invention Flow chart；

Fig. 5 is OSNR monitoring device figure in optical communication system band based on second moment and noise correction according to embodiments of the present invention；

Fig. 6 is that launched power according to embodiments of the present invention is respectively-3.0, the 30.2GB QPSK optical signal phase of+0.0 ,+2.0dBm Total power signal schematic diagram after stem grafting receipts；

Fig. 7 is that launched power according to embodiments of the present invention is respectively-3.0, the 30.2GB QPSK optical signal phase of+0.0 ,+2.0dBm Noise general power schematic diagram after stem grafting receipts；

Fig. 8 is that launched power according to embodiments of the present invention is respectively-3.0, the 30.2GB QPSK optical signal of+0.0 ,+2.0dBm Noise correction factor schematic diagram；

Fig. 9 is that launched power according to embodiments of the present invention is respectively-3.0, the 30.2GB QPSK optical signal of+0.0 ,+2.0dBm Optical signal-to-noise ratio monitoring value schematic diagram；

Figure 10 is the error amount schematic diagram of 30.2GB QPSK signal optical signal-to-noise ratio monitoring according to embodiments of the present invention.

Detailed description of the invention

Below with reference to accompanying drawing and describe the present invention in detail in conjunction with the embodiments.It should be noted that in the case of not conflicting, Embodiment in the application and the feature in embodiment can be mutually combined.

It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, " second " etc. are to use In the object that difference is similar, without being used for describing specific order or precedence.

Providing a kind of determination method of OSNR OSNR in the present embodiment, Fig. 1 is light letter according to embodiments of the present invention The flow chart of the determination method made an uproar than OSNR, as it is shown in figure 1, this flow process comprises the steps:

Step S102, determines noise power modifying factor k；

Step S104, revises noise power P of detected optical signal according to the k determined_N；

Step S106, according to revised noise power P_ASEDetermine OSNR OSNR.

By above-mentioned steps, utilize revised noise power calculation OSNR can improve the precision of calculating, reduce and calculate by mistake Difference, thus solve the problem that the OSNR error of detection is big present in correlation technique, and then reached to reduce the light of detection The effect of signal to noise ratio error.

When determining above-mentioned modifying factor k, multiple can determine mode to have, in an optional embodiment, can use really General power P of fixed above-mentioned optical signal_totalNoise power P with optical signal_N；According to the P determined_totalAnd P_NDetermine this modifying factor k.Above-mentioned determine that mode is only a kind of example, it would however also be possible to employ other mode determines this modifying factor k.Wherein, according to really Fixed P_totalAnd P_NWhen determining k, can be determined by equation below:Wherein, P_sig=P_total-P_N, It is of course also possible to determine k by other formula.

In an optional embodiment, P can be determined by equation below_total: P_total=E{ | y |², wherein, E{} is Second moment computing, y={y_n, y_nThe value of the optical signal for optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, n is positive integer；And/or, pass through Equation below determines P_N: P_N=(std{ | Re (y) | })²+(std{|Im(y)|})², wherein, y={y_n, y_nFor right Optical signal carries out the value of the optical signal after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n)_, Re(y_n) it is real part, Im (y_n) it is imaginary part, std{ | Re (y) | } it is the root-mean-square of real part absolute value, std{ | Im (y) | } be The root-mean-square of imaginary part absolute value, n is positive integer.Above-mentioned predetermined process can include processing as follows: is concerned with optical signal Demodulation, obtains real part and the imaginary part of the optical signal after coherent demodulation；Carry out amplifying and analog to digital conversion across resistance to the real part of this optical signal Process, carry out amplifying and analog to digital conversion process across resistance to the imaginary part of optical signal；To through after resistance is amplified and analog to digital conversion processes Real part and imaginary part all carry out Digital Signal Processing；Real part after Digital Signal Processing and imaginary part are all carried out dispersion equilibrium.

Wherein, noise power P of detected optical signal is revised according to the k determined_NIncluding: by equation below correction P_N: $P_{\mathrm{ASE}}=\frac{P_N(1+2k)}{{(1+{10}^{-2k})}^2}.$ This P_ASEFor revised noise power.

When determining OSNR OSNR, can be according to revised noise power P_ASEDetermine OSNR, optional at one In embodiment, determine that OSNR OSNR includes according to revised noise power: determine signal carrier-to-noise ratio by equation below CNR:OSNR is determined by equation below: $\mathrm{OSNR}=10{\log }_{10}\left(\mathrm{CNR}\right)+10{\log }_{10}\left(\frac{R_B}{B_r}\right),$ Wherein, R_BFor chip rate, B_rFor measuring light noise The reference bandwith of ratio.Through the above description of the embodiments, those skilled in the art is it can be understood that arrive according to above-mentioned The method of embodiment can add the mode of required general hardware platform by software and realize, naturally it is also possible to by hardware, but very In the case of Duo, the former is more preferably embodiment.Based on such understanding, technical scheme is the most in other words to existing The part that technology contributes can embody with the form of software product, and this computer software product is stored in a storage and is situated between In matter (such as ROM/RAM, magnetic disc, CD), including some instructions with so that a station terminal equipment (can be mobile phone, Computer, server, or the network equipment etc.) perform each embodiment of the present invention method.

Additionally provide the determination device of a kind of OSNR OSNR in the present embodiment, this device be used for realizing above-described embodiment and Preferred implementation, had carried out repeating no more of explanation.As used below, term " module " can realize making a reservation for The software of function and/or the combination of hardware.Although the device described by following example preferably realizes with software, but hardware, Or the realization of the combination of software and hardware also may and be contemplated.

Fig. 2 is the structured flowchart of the determination device of OSNR OSNR according to embodiments of the present invention, as in figure 2 it is shown, this dress Put and include first determining module 22, second determining that module 24 and the 3rd determines module 26, below this device is illustrated.

First determines module 22, is used for determining noise power modifying factor k；Second determines module 24, is connected to above-mentioned first true Cover half block 22, for revising noise power P of detected optical signal according to the k determined_N；3rd determines module 26, connects Module 24 is determined, for according to revised noise power P to above-mentioned second_ASEDetermine OSNR OSNR.

Fig. 3 be OSNR OSNR according to embodiments of the present invention determination device in the first structured flowchart determining module 22, As it is shown on figure 3, this first determines that module 22 includes that first determines that unit 32 and second determines unit 34, first true to this below Cover half block 22 illustrates.

First determines unit 32, for determining general power P of above-mentioned optical signal_totalNoise power P with optical signal_N；Second is true Cell 34, is connected to above-mentioned first and determines unit 32, for according to the P determined_totalAnd P_NDetermine k.This second determines list Unit 34 may include that and determines k by equation below:Wherein, P_sig=P_total-P_N.Certainly, it is possible to To determine k by other formula.

Wherein it is possible to determine P by equation below_total: P_total=E{ | y |², wherein, E{} is second moment computing, Y={y_n, y_nThe value of the optical signal for optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, n is positive integer；And/or, pass through Equation below determines P_N: P_N=(std{ | Re (y) | })²+(std{|Im(y)|})², wherein, y={y_n, y_nFor right Optical signal carries out the value of the optical signal after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re(y_n) it is real part, Im (y_n) it is imaginary part, std{ | Re (y) | } it is the root-mean-square of real part absolute value, std{ | Im (y) | } be The root-mean-square of imaginary part absolute value, n is positive integer.Above-mentioned predetermined process may include that and optical signal is carried out coherent demodulation, obtains The real part of the optical signal after coherent demodulation and imaginary part；Carry out amplifying and analog to digital conversion process across resistance to the real part of optical signal, light is believed Number imaginary part carry out across resistance amplify and analog to digital conversion process；To equal through the real part after resistance is amplified and analog to digital conversion processes and imaginary part Carry out Digital Signal Processing；Real part after Digital Signal Processing and imaginary part are all carried out dispersion equilibrium.

In an optional embodiment, above-mentioned second determines that module 24 includes: by equation below correction P_N: $P_{\mathrm{ASE}}=\frac{P_N(1+2k)}{{(1+{10}^{-2k})}^2}.$

In an optional embodiment, the above-mentioned 3rd determines that module 26 includes: determine signal carrier-to-noise ratio CNR by equation below:OSNR is determined by equation below: $\mathrm{OSNR}=10{\log }_{10}\left(\mathrm{CNR}\right)+10{\log }_{10}\left(\frac{R_B}{B_r}\right),$ Wherein, R_BFor chip rate, B_rFor measuring light noise The reference bandwith of ratio.Fig. 4 is OSNR in optical communication system band based on second moment and noise correction according to embodiments of the present invention The overall flow figure of monitoring, as shown in Figure 4, this flow process comprises the steps:

Step S402, receives monitored optical signal, and monitored optical signal is carried out coherent demodulation, obtains the real part of monitored signal With imaginary part, real part and imaginary signals are respectively through amplifying across resistance and after analog to digital conversion, carrying out dispersion equilibrium by DSP, dispersion is equal After weighing apparatus, the n-th data point of signal is expressed as y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is the real part of signal, Im (y_n) It it is the imaginary part of signal；

Step S404, calculates general power P receiving signal_total, its method is for calculating { y_nSecond moment, wherein can allow Y={y_n, therefore, the second moment obtained is P_total=E{ | y |²}；

Step S406, calculates noise power P_N, its method is the root mean square of the real part absolute value of signal calculated and imaginary part absolute value Quadratic sum, P_N=(std{ | Re (y) | })²+(std{|Im(y)|})²；

Step S408, calculates ASE noise power modifying factor k, and its method isWherein P_sig=P_total-P_N；

Step S410, utilizes modifying factor k, calculates ASE noise power P_ASE, its method is

Step S412, signal calculated carrier-to-noise ratio CNR, its method is

Step S414, the OSNR OSNR of signal calculated, its method is ${\mathrm{SNR}}_{\mathrm{dB}}=10{\log }_{10}\left(\mathrm{CNR}\right)+10{\log }_{10}\left(\frac{R_B}{B_r}\right);$ Wherein, SNR_dBIt is the value of OSNR, R_BIt it is code Unit's speed, B_rIt is the reference bandwith measuring OSNR, usually 12.5GHz.

Fig. 5 is OSNR monitoring device figure in optical communication system band based on second moment and noise correction according to embodiments of the present invention, As shown in Figure 5, can include according to OSNR monitoring device in the optical communication system band of the inventive method enforcement with lower module: Coherent demodulation module 52, across group amplification module 54, analog-to-digital conversion module 56, DSP module 58, also include optical signal-to-noise ratio monitoring Module 510.

Monitored optical signal initially enters coherent demodulation module 52, and coherent demodulation module 52 is by optical mixer and balanced detector structure Becoming, coherent demodulation module 52 exports real part and the imaginary signals of optical signal, and the real part of optical signal and imaginary signals are respectively through across group Amplifying and after the analog to digital conversion of analog-to-digital conversion module 56 across resistance of amplification module 54, carries out dispersion equilibrium in input DSP module 58, Real part and the imaginary signals of the output of dispersion equilibrium module enter optical signal-to-noise ratio monitoring module, and optical signal-to-noise ratio monitoring module 510 includes letter Number second moment calculating, noise power calculation, ASE noise power correction, OSNR calculate.

Below in conjunction with specific embodiment, the present invention is illustrated:

Transmitting terminal produce 30.2GB partially divide multiplexing QPSK (Quadrature Phase Shift Keying, referred to as QPSK) signal, input optical fibre link.In order to weigh in the embodiment of the present invention adaptability to different launched powers, change input The signal power of optical fiber is respectively-3.0dBm, 0.0dBm ,+2.0dBm.Filter in optical fiber link to weigh in the embodiment of the present invention The adaptability of wave effect, changes filter bandwidht and is respectively 28GHz, 30.2GHz.

Fig. 6 is that launched power according to embodiments of the present invention is respectively-3.0, the 30.2GB QPSK optical signal phase of+0.0 ,+2.0dBm Total power signal schematic diagram after stem grafting receipts；Fig. 7 is that launched power according to embodiments of the present invention is respectively-3.0 ,+0.0 ,+2.0dBm 30.2GB QPSK optical signal coherent reception after noise general power schematic diagram.It Fig. 6, Fig. 7 is respectively launched power difference For-3.0, total power signal after the 30.2GB QPSK optical signal coherent reception of+0.0 ,+2.0dBm, noise general power are with reference light The variation diagram of signal to noise ratio.As can be seen from Figure 6, coherent reception total power signal is little with reference light signal to noise ratio, launched power change. As can be seen from Figure 7, the noise general power in coherent reception signal has significant change with the difference of launched power.Enter to characterize difference Under fine power condition, the change of noise power, define the noise correction factor, Fig. 8 be according to embodiments of the present invention enter fine merit Rate is respectively-3.0, the noise correction factor schematic diagram of the 30.2GB QPSK optical signal of+0.0 ,+2.0dBm.Use modifying factor pair Noise power is modified, it is thus achieved that by the OSNR of light signal, and Fig. 9 is launched power difference according to embodiments of the present invention For-3.0, the optical signal-to-noise ratio monitoring value schematic diagram of the 30.2GB QPSK optical signal of+0.0 ,+2.0dBm.Figure 10 is real according to the present invention Execute the error amount schematic diagram of the 30.2GB QPSK signal optical signal-to-noise ratio monitoring of example, as shown in Figure 10, reference light signal to noise ratio is existed 30.2GB in 15.0～25.0dB divides multiplexing QPSK signal to be monitored partially, at different launched powers, different wave filter band Under the conditions of width, optical signal-to-noise ratio monitoring error is in the range of ± 1.0dB.

In the above-described embodiments, have employed second moment and the mode of noise power correction, it is achieved that with reference to signal to noise ratio 15.0～25.0dB In the range of to monitor error in the range of ± 1.0dB and unrelated with optical fiber link upper filter effect, compared with correlation technique, this The OSNR Monitoring Method provided in inventive embodiments is simple, improves the accuracy of monitoring, it is adaptable to different modulating form, Different launched powers, the monitoring of different filter effect optical fiber link signal.System used in the present invention, including coherent demodulation, Across group amplification, analog digital conversion and dispersion equilibrium and OSNR computing module, by the OSNR of these module monitors optical signals, Achieve good effect.

It should be noted that above-mentioned modules can be by software or hardware realizes, for the latter, can by with Under type realizes, but is not limited to this: above-mentioned module is respectively positioned in same processor；Or, above-mentioned module lays respectively at multiple place In reason device.

Embodiments of the invention additionally provide a kind of storage medium.Alternatively, in the present embodiment, above-mentioned storage medium can be by It is set to storage for the program code performing following steps:

S1, determines noise power modifying factor k；

S2, revises noise power P of detected optical signal according to the k determined_N；

S3, according to revised noise power P_ASEDetermine OSNR OSNR.

Alternatively, in the present embodiment, above-mentioned storage medium can include but not limited to: USB flash disk, read only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), mobile hard The various media that can store program code such as dish, magnetic disc or CD.

Alternatively, the concrete example in the present embodiment is referred to the example described in above-described embodiment and optional embodiment, The present embodiment does not repeats them here.

Obviously, those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general calculating Device realizes, and they can concentrate on single calculating device, or is distributed on the network that multiple calculating device is formed, Alternatively, they can realize with calculating the executable program code of device, it is thus possible to be stored in storing device In perform by calculating device, and in some cases, can with the order being different from herein perform shown or described by step Suddenly, or they are fabricated to respectively each integrated circuit modules, or the multiple modules in them or step are fabricated to single Integrated circuit modules realizes.So, the present invention is not restricted to the combination of any specific hardware and software.

The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for those skilled in the art For, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, any amendment of being made, etc. With replacement, improvement etc., should be included within the scope of the present invention.

Claims (10)

1. the determination method of an OSNR OSNR, it is characterised in that including:

Determine noise power modifying factor k；

Noise power P of detected optical signal is revised according to the k determined_N；

According to revised noise power P_ASEDetermine OSNR OSNR.

Method the most according to claim 1, it is characterised in that determine that noise power modifying factor k includes:

Determine general power P of described optical signal_totalNoise power P with described optical signal_N；

According to the described P determined_totalWith described P_NDetermine described k, including, determine described k by equation below:Wherein, P_sig=P_total-P_N。

Method the most according to claim 2, it is characterised in that

Described P is determined by equation below_total: P_total=E{ | y |², wherein, E{} is second moment computing, Y={y_n, y_nThe value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, n is positive integer；And/or,

Described P is determined by equation below_N: P_N=(std{ | Re (y) | })²+(std{|Im(y)|})², wherein, Y={y_n, y_nThe value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, std{ | Re (y) | } it is real part The root-mean-square of absolute value, std{ | Im (y) | } it is the root-mean-square of imaginary part absolute value, n is positive integer；

Wherein, described predetermined process includes: described optical signal carries out coherent demodulation, obtains the optical signal after coherent demodulation Real part and imaginary part；Carry out amplifying and analog to digital conversion process, the void to described optical signal across resistance to the real part of described optical signal Portion carries out amplifying and analog to digital conversion process across resistance；All enter through the real part after resistance is amplified and analog to digital conversion processes and imaginary part Row number signal processing；Real part after Digital Signal Processing and imaginary part are all carried out dispersion equilibrium.

Method the most according to claim 1, it is characterised in that revise the noise merit of detected optical signal according to the k determined Rate P_NIncluding:

By P described in equation below correction_N: $P_{\mathrm{ASE}}=\frac{P_N(1+2k)}{{(1+{10}^{-2k})}^2}.$

Method the most according to claim 1, it is characterised in that according to revised noise power P_ASEDetermine OSNR OSNR includes:

Signal carrier-to-noise ratio CNR is determined by equation below:

Described OSNR is determined by equation below: $\mathrm{OSNR}=10{\log }_{10}\left(\mathrm{CNR}\right)+10{\log }_{10}\left(\frac{R_B}{B_r}\right),$ Its In, R_BFor chip rate, B_rFor measuring the reference bandwith of OSNR.

6. the determination device of an OSNR OSNR, it is characterised in that including:

First determines module, is used for determining noise power modifying factor k；

Second determines module, for revising noise power P of detected optical signal according to the k determined_N；

3rd determines module, for according to revised noise power P_ASEDetermine OSNR OSNR.

Device the most according to claim 6, it is characterised in that described first determines that module includes:

First determines unit, for determining general power P of described optical signal_totalNoise power P with described optical signal_N；

Second determines unit, for according to the described P determined_totalWith described P_NDetermine described k, including, by following public Formula determines described k:Wherein, P_sig=P_total-P_N。

Device the most according to claim 7, it is characterised in that

Described P is determined by equation below_total: P_total=E{ | y |², wherein, E{} is second moment computing, Y={y_n, y_nThe value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, n is positive integer；And/or,

Described P is determined by equation below_N: P_N=(std{ | Re (y) | })²+(std{|Im(y)|})², wherein, Y={y_n, y_nThe value of the optical signal for described optical signal being carried out after predetermined process on the n-th data point, y_n=Re (y_n)+i*Im(y_n), Re (y_n) it is real part, Im (y_n) it is imaginary part, std{ | Re (y) | } it is real part The root-mean-square of absolute value, std{ | Im (y) | } it is the root-mean-square of imaginary part absolute value, n is positive integer；

Wherein, described predetermined process includes: described optical signal carries out coherent demodulation, obtains the optical signal after coherent demodulation Real part and imaginary part；Carry out amplifying and analog to digital conversion process, the void to described optical signal across resistance to the real part of described optical signal Portion carries out amplifying and analog to digital conversion process across resistance；All enter through the real part after resistance is amplified and analog to digital conversion processes and imaginary part Row number signal processing；Real part after Digital Signal Processing and imaginary part are all carried out dispersion equilibrium.

Device the most according to claim 6, it is characterised in that described second determines that module includes:

By P described in equation below correction_N: $P_{\mathrm{ASE}}=\frac{P_N(1+2k)}{{(1+{10}^{-2k})}^2}.$

Device the most according to claim 6, it is characterised in that the described 3rd determines that module includes:

Signal carrier-to-noise ratio CNR is determined by equation below:

Described OSNR is determined by equation below: $\mathrm{OSNR}=10{\log }_{10}\left(\mathrm{CNR}\right)+10{\log }_{10}\left(\frac{R_B}{B_r}\right),$ Its In, R_BFor chip rate, B_rFor measuring the reference bandwith of OSNR.