CN109743276B - Method and device for identifying optical signal modulation format - Google Patents
Method and device for identifying optical signal modulation format Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for identifying an optical signal modulation format, which can improve the accuracy of identification of the modulation format. The optical signal receiving equipment receives an optical signal to be identified from the transmission optical fiber and demultiplexes the optical signal into a first optical signal and a second optical signal; sampling the first optical signal and the second optical signal to obtain at least one group of digital signals to be identified; mapping each group of digital signals to be identified into a Stokes vector in the Stokes space of the digital signals to be identified; determining a second target energy layer corresponding to a first target energy layer determined by at least one ideal optical signal in the Stokes space of the ideal digital signal in the Stokes space of the digital signal to be identified; acquiring the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, the optical signal to be identified and the target ideal optical signal are determined to adopt the same modulation format.
Description
Technical Field
The embodiment of the invention relates to the field of communication, in particular to a method and a device for identifying an optical signal modulation format.
Background
With the high-speed development of data service requirements, the requirements for optical fiber transmission capacity are gradually increased, and the mode division multiplexing as a capacity expansion mode is widely regarded and researched. In the process of optical fiber transmission, the mode division multiplexing signals have impurities in the optical fiber and can be interfered by the outside world and other factors, and the signals of different optical paths can be mutually interfered, so that the signals of different optical paths need to be distinguished at a receiving end by adopting signal processing algorithms such as a demultiplexing algorithm and the like. The signal processing algorithm selection can be better performed with knowledge of the signal modulation format. Meanwhile, the lengths of optical fibers required by different users in the access network are different, and different modulation formats can be selected according to different channels, so that an algorithm is required to identify the modulation format of the mixed modulation format signal.
Signals in the mode division multiplexing generally adopt phase-shift keying (PSK) modulation, quadrature phase modulation (QAM), and the like, and a method generally adopted for identifying a modulation format includes: the constellation diagram detection is carried out by using a K-means algorithm, and an artificial neural network recognition technology trained in advance and a recognition technology based on Stokes space and machine learning processing are required. The identification technology based on Stokes space and machine learning processing generally adopts machine learning algorithm processing on all Stokes vector data, and analyzes the clustering number directly identified from the quantity of Stokes clustering, so as to realize modulation format identification. Specifically, in the Stokes space, when the modulation order is smaller, the existing machine learning algorithm can more accurately identify the Stokes clustering number, but when the modulation order is larger, the clustering number in the Stokes space is increased, due to the influence of channel noise, the clusters in the Stokes space are overlapped with each other, and the like, and the identification accuracy of the machine learning algorithm is seriously influenced.
The existing modulation format recognition technology based on the Stokes space directly performs machine learning algorithm processing by using all Stokes vector data, or performs least square (LMS) fitting preprocessing by using all data, and the methods of obtaining a least square plane by directly performing plane fitting by using all data are inaccurate because the Stokes clustering is space distribution. Secondly, the above method usually has a large influence on the accuracy of the recognition result due to the existence of channel noise.
Disclosure of Invention
The embodiment of the invention provides a method and a device for identifying an optical signal modulation format, which can improve the accuracy of identification of the modulation format.
In a first aspect, a method for identifying a modulation format of an optical signal is provided, which includes the following steps: the optical signal receiving equipment receives an optical signal to be identified from a transmission optical fiber, and the optical signal to be identified is demultiplexed into a first optical signal and a second optical signal, wherein the first optical signal and the second optical signal are optical signals in a mixed modulation format; optical signal receiving apparatus pairs first optical signal and second optical signalSampling the optical signals to obtain at least one group of digital signals to be identified, wherein each group of digital signals to be identified is obtained by sampling a first optical signal and a second optical signal at one time, and each group of digital signals to be identified comprises a first sampling signal obtained by sampling the first optical signal and a second sampling signal obtained by sampling the second optical signal; the optical signal receiving equipment maps each group of digital signals to be identified into Stokes vectors in the Stokes space of the digital signals to be identified, and normalization processing is carried out on the Stokes vectors in the Stokes space of the digital signals to be identified; the optical signal receiving device determines a second target energy layer corresponding to a first target energy layer determined by at least one ideal optical signal in the Stokes space of the ideal digital signal in the Stokes space of the digital signal to be identified; the optical signal receiving equipment obtains the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, determining that the optical signal to be identified and the target ideal optical signal adopt the same modulation format; the target ideal optical signal is any one of at least one ideal optical signal corresponding to at least one ideal digital signal; the Stokes space of the ideal digital signal comprises at least one energy layer, each energy layer comprises at least one Stokes vector, and the at least one energy layer is obtained by dividing the energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector of the ideal digital signal, wherein the first ideal sampling signal is obtained by sampling a first multiplexed optical signal in the ideal optical signal, and the second ideal sampling signal is obtained by sampling a second multiplexed optical signal in the ideal optical signal; and the Stokes vector in the Stokes space of the ideal digital signal is generated by mapping the ideal digital signal obtained by sampling the ideal optical signal, and the ideal digital signal comprises a first ideal sampling signal and a second ideal sampling signal.
In the above scheme, the optical signal receiving device receives the optical signal to be identified from the transmission optical fiber, and demultiplexes the optical signal to be identified into a first optical signal and a second optical signal; for the first optical signal and the second optical signalSampling to obtain at least one group of digital signals to be identified; mapping each group of digital signals to be identified into a Stokes vector in the Stokes space of the digital signals to be identified; determining a second target energy layer corresponding to a first target energy layer determined by at least one ideal optical signal in the Stokes space of the ideal digital signal in the Stokes space of the digital signal to be identified; acquiring the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, the optical signal to be identified and the target ideal optical signal are determined to adopt the same modulation format. Firstly, the distribution characteristics of the mode division multiplexing signals in the Stokes space are utilized to preprocess the sampling signals after sampling, and the modulation format of the analog optical signals is identified by selecting partial signals, so that errors generated by related methods such as plane fitting projection and the like are avoided. Secondly, when the modulation order is larger, the cluster number in the Stokes space is increased, clusters in the Stokes space are overlapped mutually due to the influence of channel noise, and the like.
In a second aspect, there is provided an apparatus for identifying an optical signal modulation format, which is used for an optical signal receiving device or a chip of the optical signal receiving device, and includes: the receiving module is used for receiving the optical signal to be identified from the transmission optical fiber and demultiplexing the optical signal to be identified into a first optical signal and a second optical signal, wherein the first optical signal and the second optical signal are optical signals in a mixed modulation format; a sampling module, configured to sample the first optical signal and the second optical signal received and processed by the receiving module to obtain at least one group of digital signals to be identified, where each group of digital signals to be identified is obtained by sampling the first optical signal and the second optical signal once, and each group of digital signals to be identified includes a first sampling signal obtained by sampling the first optical signal and a second sampling signal obtained by sampling the second optical signal(ii) a The computing module is used for mapping each group of digital signals to be identified, which are sampled by the sampling module, into Stokes vectors in the Stokes space of the digital signals to be identified, and performing normalization processing on the Stokes vectors in the Stokes space of the digital signals to be identified; the processing module is used for determining a second target energy layer corresponding to a first target energy layer determined by at least one ideal optical signal in the Stokes space of the ideal digital signal in the Stokes space of the digital signal to be identified; acquiring the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, determining that the optical signal to be identified and the target ideal optical signal adopt the same modulation format; the target ideal optical signal is any one of at least one ideal optical signal corresponding to at least one ideal digital signal; the Stokes space of the ideal digital signal comprises at least one energy layer, each energy layer comprises at least one Stokes vector, and the at least one energy layer is obtained by dividing the energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector of the ideal digital signal, wherein the first ideal sampling signal is obtained by sampling a first multiplexed optical signal in the ideal optical signal, and the second ideal sampling signal is obtained by sampling a second multiplexed optical signal in the ideal optical signal; and the Stokes vector in the Stokes space of the ideal digital signal is generated by mapping the ideal digital signal obtained by sampling the ideal optical signal, and the ideal digital signal comprises a first ideal sampling signal and a second ideal sampling signal.
In a third aspect, an apparatus for identifying a modulation format of an optical signal is provided, which includes a communication interface, a processor, a memory, and a bus; the memory is used for storing computer execution instructions, the processor is connected with the memory through the bus, and when the identification device of the optical signal modulation format operates, the processor executes the computer execution instructions stored by the memory, so that the identification device of the optical signal modulation format executes the identification method of the optical signal modulation format.
In a fourth aspect, a computer storage medium is provided, comprising instructions, characterized in that when the instructions are run on a computer, the instructions cause the computer to perform the method for identifying an optical signal modulation format as described above.
In a fifth aspect, a computer program product is provided, which comprises instruction codes for performing the method for identifying the modulation format of an optical signal as described above.
It should be understood that the above-mentioned identification apparatus, computer storage medium, or computer program product of any optical signal modulation format is used for executing the method according to the first aspect provided above, and therefore, the beneficial effects that can be achieved by the identification apparatus, computer storage medium, or computer program product of any optical signal modulation format refer to the beneficial effects of the method according to the first aspect and the corresponding schemes in the following detailed description, which are not described herein again.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an optical network system according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a method for identifying a modulation format of an optical signal according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an ideal optical signal preprocessing method according to an embodiment of the present invention;
fig. 4 is a standard constellation diagram for QPSK provided by an embodiment of the present invention;
FIG. 5 is a standard constellation diagram for 16QAM as provided by an embodiment of the present invention;
FIG. 6 is a standard constellation diagram for 8PSK provided by an embodiment of the present invention;
fig. 7 is a schematic diagram of Stokes vectors in Stokes space mapped to an ideal digital signal by QPSK &16QAM according to an embodiment of the present invention;
fig. 8 is a schematic diagram of Stokes vectors in Stokes space for 8PSK &16QAM mapping into ideal digital signals according to an embodiment of the present invention;
FIG. 9 is a hierarchical diagram of QPSK &16QAM in Stokes space of an ideal digital signal provided by an embodiment of the present invention;
FIG. 10 is a schematic diagram of a hierarchy of 8PSK &16QAM modulators in the Stokes space of an ideal digital signal according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of an apparatus for identifying an optical signal modulation format according to an embodiment of the present invention;
fig. 12 is a schematic structural diagram of an apparatus for identifying an optical signal modulation format according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the high-speed development of data service requirements, the requirements for optical fiber transmission capacity are gradually increased, and the mode division multiplexing as a capacity expansion mode is widely regarded and researched. When the mode division multiplexing signals are interfered by the outside world in the optical fiber transmission process, signals of different optical paths can be mutually interfered, so that the signals of different optical paths need to be distinguished at a receiving end by adopting signal processing algorithms such as a demultiplexing algorithm and the like. The signal processing algorithm selection can be better performed with knowledge of the signal modulation format. Meanwhile, the lengths of optical fibers required by different users in the access network are different, and different modulation formats can be selected according to different channels, so that an algorithm is required to identify the modulation format of the mixed modulation format signal.
Referring to fig. 1, the embodiment of the present application is mainly applied to an optical network system including a receiving end device, an optical signal receiving device, and an optical signal transmitting device, where the optical signal receiving device and the optical signal transmitting device are connected by an optical fiber. Referring to fig. 1, a specific process diagram of the tdm in an optical communication transmission system is shown, at a transmitting end (i.e., an optical signal transmitting apparatus), a signal generator first generates electrical signals with two different modulation formats, for example, QPSK and 16QAM formats are respectively used as the modulation formats, although this is merely an example, and for example, the electrical signals with two different modulation formats may also be a combination of other modulation formats, such as 8PSK and 16 QAM. The laser generates a fundamental mode light beam, and the fundamental mode light beam is divided into two fundamental mode optical signals by the beam splitter, of course, the powers of the two fundamental mode optical signals may be the same, wherein one fundamental mode optical signal is converted into a high-order mode LP11a to load a QPSK signal to obtain a first modulated optical signal by using the mode converter, and the other fundamental mode optical signal is converted into a high-order mode LP11b to load a 16QAM signal to obtain a second modulated optical signal by using the mode converter. Multiplexing two paths of modulated first modulated optical signals and second modulated optical signals into one path of optical signals by using a multiplexer, wherein the one path of optical signals is signals with a mixed modulation format, and coupling the signals into a few-mode optical fiber after being focused by a collimator. When the optical fiber is transmitted in the few-mode optical fiber, in order to reduce the influence of transmission loss, a few-mode optical fiber amplifier is used for amplifying signals every transmission distance.
In the present application, identification of the modulation format of a mixed modulation format signal is achieved. The realization principle is as follows: at a system receiving end (namely in optical signal receiving equipment), taking a coupled optical signal transmitted by a few-mode optical fiber as an optical signal to be identified, sampling the optical signal to be identified to obtain at least one group of digital signals to be identified, wherein each group of digital signals to be identified is obtained by carrying out one-time sampling on a first optical signal and a second optical signal obtained by demultiplexing the optical signal to be identified, and each group of digital signals to be identified comprises a first sampling signal obtained by sampling the first optical signal and a second sampling signal obtained by sampling the second optical signal; mapping each group of digital signals to be identified into normalized Stokes vectors in the Stokes space of the digital signals to be identified; finally, in the Stokes space of the digital signal to be identified, determining a second target energy layer corresponding to the first target energy layer determined by the at least one ideal optical signal in the Stokes space of the ideal digital signal; and determining the modulation format of the mixed modulation format signal according to the clustering number N of the Stokes vectors in the second target energy layer.
It should be noted that, in the foregoing process, the optical signal to be identified may be demultiplexed into the first optical signal and the second optical signal by the demultiplexer, where before sampling the first optical signal and the second optical signal, the coherent detector is further required to perform coherent processing on the first optical signal and the second optical signal, where the coherent processing includes: the local oscillator generates a low-frequency oscillation signal, the low-frequency oscillation signal is loaded to the coherent detector, when the first optical signal (the second optical signal) and the low-frequency oscillation signal meet the condition of wave front matching, beat frequency or coherent superposition is generated on the coherent detector, the coherent detector generates a first electric signal and a second electric signal, and the magnitude of the first electric signal (the second electric signal) is proportional to the square of the sum of the first optical signal (the second optical signal) and the low-frequency oscillation signal. And then the first electric signal and the second electric signal are sampled through an analog-to-digital conversion module, so that the optical signal to be identified is sampled. Of course, before mapping each group of digital signals to be identified into normalized Stokes vectors in the Stokes space of the digital signals to be identified, dispersion compensation is performed on the digital signals to be identified through a digital signal processing function. After determining the modulation format of the mixed modulation format signal, the optical signal receiving apparatus may further perform a digital signal processing process on the mixed modulation format signal, for example, as follows: signal demultiplexing, carrier phase recovery, signal demodulation, and the like, and of course, except for the modulation format identification of the mixed modulation format signal, other parts may refer to the prior art, and are not described herein again.
Based on the optical network system, the present application provides a method for identifying an optical signal modulation format, which is shown in fig. 2 and specifically includes the following steps:
201. the optical signal receiving device receives an optical signal to be identified from the transmission optical fiber, and demultiplexes the optical signal to be identified into a first optical signal and a second optical signal.
The first optical signal and the second optical signal are optical signals of a mixed modulation format. For example, the first optical signal and the second optical signal are both in QPSK &16QAM modulation format. The optical signal to be identified may be demultiplexed by using a demultiplexer to obtain a first optical signal and a second optical signal.
202. And sampling the first optical signal and the second optical signal to obtain at least one group of digital signals to be identified.
The optical signal receiving equipment samples the first optical signal and the second optical signal to obtain at least one group of digital signals to be identified, wherein each group of digital signals to be identified is obtained by sampling the first optical signal and the second optical signal once, and each group of digital signals to be identified comprises a first sampling signal obtained by sampling the first optical signal and a second sampling signal obtained by sampling the second optical signal.
Referring to the optical network system shown in fig. 1, step 202 is specifically that a local oscillator generates a low-frequency oscillating signal, and then the low-frequency oscillating signal is applied to a coherent detector, when the first optical signal (second optical signal) and the low-frequency oscillating signal satisfy a condition of wavefront matching, a beat frequency or a coherent superposition is generated on the coherent detector, the coherent detector generates a first electrical signal and a second electrical signal, and a magnitude of the first electrical signal (second electrical signal) is proportional to a square of a sum of the first optical signal (second optical signal) and the low-frequency oscillating signal. And then sampling the first electrical signal and the second electrical signal through the analog-to-digital conversion module, so as to realize sampling of the optical signal to be identified and generate the digital signal to be identified. The dispersion compensation is performed on the digital signal to be identified in the time domain to compensate for the dispersion reduction crosstalk, for example, the dispersion compensation may be performed on the digital signal to be identified by a dispersion compensation algorithm (DC).
203. And mapping each group of digital signals to be identified into a Stokes vector in the Stokes space of the digital signals to be identified.
Wherein according to the formula
Mapping each group of digital signals to be identified into Stokes vectors in the Stokes space of the digital signals to be identified, wherein S represents the Stokes vectors in the Stokes space of the digital signals to be identified, and S0Representing the distance of S from the origin of the Stokes space of the optical signal to be recognized, and at the same time being the first sampling signal S1And a second sampling signal s2Energy sum of S1、S2、S3Representing the spatial coordinates of S. And carrying out normalization processing on the Stokes vectors in the Stokes space of the digital signal to be recognized.
204. And in the Stokes space of the digital signal to be identified, determining a second target energy layer corresponding to a first target energy layer determined by at least one ideal optical signal in the Stokes space of the ideal digital signal, and acquiring the clustering number N of Stokes vectors in the second target energy layer by a machine learning algorithm.
Wherein, according to step 203, after the Stokes vector normalization in the Stokes space of the digital signal to be recognized, the hierarchical boundary g of the first target energy layer is determined in the Stokes space of the ideal digital signali,i+1A certain layer is selected. If the layer is the innermost layer, selecting the layer less than g in the Stokes spacei,i+1The Stokes vector of; if the layer is the middle layer, selecting the space of Stokes of the digital signal to be identified to be larger than gi-1,iAnd less than gi,i+1The Stokes vector of; if the layer is the outermost layer, selecting the layer more than g in the Stokes space of the digital signal to be identifiedi-1,iThe Stokes vector of (c).
The ideal optical signal is an optical signal with a known modulation format, and specifically, before step 204, the method further includes a process of determining a first target energy layer, which is shown with reference to fig. 3, and specifically includes the following steps:
and S1, the optical signal receiving equipment receives the ideal optical signal.
Wherein the ideal optical signal comprises a first multiplexed optical signal and a second multiplexed optical signal employing different known modulation formats. For example, when the ideal optical signal is a QPSK &16QAM optical signal, the first multiplexed optical signal is an optical signal in a QPSK modulation format, and the second multiplexed optical signal is an optical signal in a 16QAM modulation format; when the ideal optical signal is an 8PSK &16QAM optical signal, the first multiplexed optical signal is an optical signal in an 8PSK modulation format, and the second multiplexed optical signal is an optical signal in a 16QAM modulation format.
And S2, sampling the first multiplexed optical signal and the second multiplexed optical signal to obtain at least one group of ideal digital signals.
The optical signal receiving device samples the first multiplexed optical signal and the second multiplexed optical signal to obtain at least one group of ideal digital signals including a first ideal sampling signal and a second ideal sampling signal, wherein each group of ideal digital signals is obtained by sampling the first multiplexed optical signal and the second multiplexed optical signal once, and each group of ideal digital signals includes a first ideal sampling signal obtained by sampling the first multiplexed optical signal and a second ideal sampling signal obtained by sampling the second multiplexed optical signal. The two paths of multiplexed optical signals after demultiplexing are subjected to analog-to-digital conversion to obtain two paths of ideal digital signals, and one ideal digital signal in each path of ideal digital signals and one ideal digital signal in the other path of ideal digital signals form a group of ideal digital signals.
And S3, mapping each group of ideal digital signals into Stokes vectors in the Stokes space of the ideal digital signals, and calculating the energy sum of the first ideal sampling signal and the second ideal sampling signal in each Stokes vector of the ideal optical signals.
Wherein according to the formula
Mapping each set of ideal digital signals to Stokes vectors in Stokes space of the ideal digital signals, wherein S ' represents the Stokes vectors, S ' in Stokes space of the ideal digital signals '0Representing the distance of S 'to the origin of Stokes space of the ideal digital signal, while being the first ideal sampling signal S'1And a second ideal sampling signal s'2Of energy sum, S'1，S′2，S′3The S' spatial coordinates of the representation. Wherein fig. 4 shows a constellation diagram of a signal in QPSK modulation format, fig. 5 shows a constellation diagram of a signal in 16QAM modulation format, and fig. 6 shows a star of a signal in 8PSK modulation formatA seat diagram.
Based on the above modulation formats, when the ideal optical signal is formed by mixing the QPSK modulation format and the 16QAM modulation format, the distribution of the Stokes vectors in the Stokes space of the ideal digital signal is shown in fig. 7, where in fig. 7, the correspondence relationship between points in the constellation diagram of the signal in the QPSK modulation format and points in the constellation diagram of the signal in the 16QAM modulation format and the Stokes vectors in the Stokes space of the ideal digital signal is specifically shown. Wherein the plane formed by S2 and S3 corresponding to the scale 1 position on the S1 axis contains four points corresponding to four points in the constellation diagram of the signal of QPSK modulation format and four points (-1, -1), (-1, 1), (1, -1), (1, 1) at the outer vertices of the constellation diagram of the signal of 16QAM modulation format, corresponding to the outermost four points viewed from the direction of the S1 axis in fig. 9; the plane consisting of S2 and S3 corresponding to the 0.5 position on the scale on the S1 axis contains eight points, which correspond to the eight points (-0.3, -1), (0.3, -1), (-1, -0.3), (1, -0.3), (-0.3, 1), (0.3, 1), (-1, 0.3), (1, 0.3) in the middle of the constellation diagram of the signal of the 16QAM modulation format, which correspond to the eight points in the middle as viewed from the direction of the S1 axis in fig. 9; the plane formed by S2 and S3 corresponding to the-0.5 position on the scale on the S1 axis contains four points, which correspond to the four points (-0.3 ), (0.3, -0.3), (-0.3, 0.3), (0.3 ) in the middle of the constellation of the signal of the 16QAM modulation format, which correspond to the innermost four points viewed from the direction of the S1 axis in fig. 9.
When the ideal optical signal is formed by mixing the 8PSK modulation format and the 16QAM modulation format, the distribution of the Stokes vectors in the Stokes space of the ideal digital signal is shown in fig. 8, where fig. 8 specifically shows the correspondence relationship between points in the constellation diagram of the signal in the 8PSK modulation format and points in the constellation diagram of the signal in the 16QAM modulation format and the Stokes vectors in the Stokes space of the ideal digital signal. The specific correspondence method refers to the correspondence relationship between points in the constellation diagram of the signal in the QPSK modulation format and points in the constellation diagram of the signal in the 16QAM modulation format and Stokes vectors in the Stokes space of the ideal digital signal. The correspondence relationship in the plane composed of S2 and S3 corresponding to the scale position on the S1 axis is referred to fig. 10.
Since the phase angles of the two multiplexed optical signals in the ideal optical signal QPSK &16QAM are 45 °, 135 °, 225 °, and 315 °, the signal phases mapped in the Stokes vector in the Stokes space of the ideal digital signal overlap, and are represented as coincident points in fig. 7; since there is a deviation between the phases of the two multiplexed optical signals in the ideal optical signal 8PSK &16QAM, the phases of the two signals mapped in the Stokes vector in the Stokes space of the ideal digital signal do not overlap, and appear as two points close to each other in fig. 8.
And S4, layering the Stokes vectors in the Stokes space of the ideal digital signal according to the energy sum, and acquiring at least one energy layer.
Wherein, the standard layering boundary of two adjacent energy layers is the average value of two energies
Wherein EiIs the ith layer energy.
For example, the ideal optical signal modulation format is selected as a mixed modulation format QPSK in step 201&16QAM multiplexed signal, 8PSK&One of two modulation formats of 16QAM, wherein, referring to the ideal optical signal QPSK signal constellation diagram in fig. 4, four points are distributed at four corners of the constellation diagram, and there are 1 amplitude from the origin of the constellation diagram; in the distribution of the 16QAM signal constellation of the ideal optical signal in fig. 5, 16 points are uniformly distributed in the constellation, and there are 3 amplitudes from the origin of the constellation. In fig. 6, 8 points of an ideal optical signal 8PSK signal constellation diagram are distributed on a circle in the constellation diagram with the origin of the constellation diagram as the center, and the amplitude values from the origin of the constellation diagram are 1; in the distribution of the ideal optical signal 16QAM signal constellation diagram, 16 points are uniformly distributed in the constellation diagram, and the amplitude values from the origin of the constellation diagram are 3. S can be obtained as the sum of the two signal energies, with their amplitudes all 1 or 30The values are all 3, see FIG. 9, in accordance with the energy magnitude S0Splitting the Stokes space into 3 layers, e.g. when the ideal optical signal is QPSK&When 16QAM is used for multiplexing signals, starting from the outermost periphery, four points are arranged in the first layer, eight points are arranged in the second layer, four points are arranged in the third layer, and when the ideal optical signal is 8PSK&Layering method for 16QAM multiplexing signalWith the above-mentioned QPSK&The 16QAM multiplexing signal method is the same, and is divided into three layers, see fig. 10.
S5, obtaining the cluster number in each energy layer, selecting an energy layer with the cluster number different from that of the at least one energy layer obtained by other ideal light signals from the at least one energy layer obtained by any ideal light signal, and taking the energy layer with the minimum cluster number in the selected energy layers as a first target energy layer.
The optical signal receiving apparatus obtains the number of clusters in each energy layer by a machine learning algorithm, for example, 8PSK is selected&16QAM and QPSK&16QAM clustering number NdetEnergy layers of 8 and 4 as the first target energy layer (minimum S)0Layers).
205. Determining a cluster number N with a Stokes vector in a first target energy layer of a target ideal optical signaldetThe difference value meets the preset condition, and the optical signal to be identified and the target ideal optical signal are determined to adopt the same modulation format.
For example, in step S204, the number N of clusters of Stokes vectors in the second target energy layer is obtained to be 7 by the machine learning algorithm, and 8PSK is selected in step S5&16QAM and QPSK&16QAM clustering number NdetEnergy layers of 8 and 4, respectively, are used as first target energy layers (minimum S)0Layers). Then 8PSK with respect to the ideal optical signal&Difference J of 16QAMN-8PSK&16QAM＝|N-Ndet8-7-1, QPSK relative to an ideal optical signal&Difference J of 16QAMN-QPSK&16QAM＝|N-NdetI.e., 7-4-3, the modulation format may be determined to be 8PSK&16QAM。
In the above scheme, the optical signal receiving device receives the optical signal to be identified from the transmission optical fiber, and demultiplexes the optical signal to be identified into a first optical signal and a second optical signal; sampling the first optical signal and the second optical signal to obtain at least one group of digital signals to be identified; mapping each group of digital signals to be identified into a Stokes vector in the Stokes space of the digital signals to be identified; determining a first target energy layer pair determined in the Stokes space of the ideal digital signal with at least one ideal optical signal in the Stokes space of the digital signal to be recognizedA second target energy layer; acquiring the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, the optical signal to be identified and the target ideal optical signal are determined to adopt the same modulation format. Firstly, the distribution characteristics of the mode division multiplexing signals in the Stokes space are utilized to preprocess the sampling signals after sampling, and the modulation format of the analog optical signals is identified by selecting partial signals, so that errors generated by related methods such as plane fitting projection and the like are avoided. Secondly, when the modulation order is larger, the cluster number in the Stokes space is increased, clusters in the Stokes space are overlapped mutually due to the influence of channel noise, and the like.
Referring to fig. 11, there is provided an apparatus for identifying an optical signal modulation format, which is used for an optical signal receiving device or a chip of the optical signal receiving device, and includes:
a receiving module 1101, configured to receive an optical signal to be identified from a transmission optical fiber, and demultiplex the optical signal to be identified into a first optical signal and a second optical signal, where the first optical signal and the second optical signal are optical signals in a hybrid modulation format;
a sampling module 1102, configured to sample the first optical signal and the second optical signal received and processed by the receiving module 1101, so as to obtain at least one group of digital signals to be identified, where each group of digital signals to be identified is obtained by sampling the first optical signal and the second optical signal at a time, and each group of digital signals to be identified includes a first sampling signal obtained by sampling the first optical signal and a second sampling signal obtained by sampling the second optical signal;
a calculating module 1103, configured to map each group of digital signals to be identified, which are sampled by the sampling module 1102, into Stokes vectors in the Stokes space of the digital signals to be identified, and perform normalization processing on the Stokes vectors in the Stokes space of the digital signals to be identified;
the processing module 1104 is used for determining a second target energy layer corresponding to a first target energy layer determined by at least one ideal light signal in the Stokes space of the ideal digital signal in the Stokes space of the digital signal to be identified; acquiring the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, determining that the optical signal to be identified and the target ideal optical signal adopt the same modulation format; wherein the target ideal optical signal is any one of at least one ideal optical signal corresponding to the at least one ideal digital signal; wherein the Stokes space of the ideal digital signal comprises at least one energy layer, each energy layer comprises at least one Stokes vector, and the at least one energy layer is obtained by dividing the energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector of the ideal digital signal, wherein the first ideal sampling signal is obtained by sampling a first multiplexed optical signal in the ideal optical signal, and the second ideal sampling signal is obtained by sampling a second multiplexed optical signal in the ideal optical signal; and the Stokes vector in the Stokes space of the ideal digital signal is generated from an ideal digital signal map obtained by sampling the ideal optical signal, the ideal digital signal comprising the first ideal sampled signal and the second ideal sampled signal.
Optionally, the receiving module 1101 is further configured to receive the ideal optical signal, where the ideal optical signal includes a first multiplexed optical signal and a second multiplexed optical signal that use different known modulation formats;
the sampling module 1102 is further configured to sample the first multiplexed optical signal and the second multiplexed optical signal processed by the receiving module 1101, so as to obtain at least one group of ideal digital signals, where each group of ideal digital signals includes the first ideal sampling signal and the second ideal sampling signal, where each group of ideal digital signals is obtained by sampling the first multiplexed optical signal and the second multiplexed optical signal at one time, and each group of ideal digital signals includes a first ideal sampling signal obtained by sampling the first multiplexed optical signal and a second ideal sampling signal obtained by sampling the second multiplexed optical signal;
the calculating module 1103 is further configured to map each group of the ideal digital signals sampled by the sampling module 1102 into Stokes vectors in a Stokes space of the ideal digital signals, and calculate an energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector in the Stokes space of the ideal digital signals;
the processing module 1104 is further configured to perform layering on the energy calculated by the calculating module 1103 and a Stokes vector in a Stokes space of the ideal digital signal to obtain at least one energy layer;
the processing module 1104 is further configured to obtain the number of clusters in each energy layer through a machine learning algorithm, select, from the at least one energy layer obtained from any one of the ideal light signals, an energy layer different from the number of clusters of the at least one energy layer obtained from the other ideal light signals, and use the energy layer with the smallest number of clusters in the selected energy layer as the first target energy layer.
Optionally, the optical signal receiving device maps each group of the digital signals to be identified into Stokes vectors in a Stokes space of the digital signals to be identified, and the calculating module 1103 is specifically configured to map the digital signals to be identified into Stokes vectors according to a formula
Mapping each group of the digital signals to be identified into Stokes vectors in the Stokes space of the digital signals to be identified, wherein S represents the Stokes vectors in the Stokes space of the digital signals to be identified, and S0Representing the distance S from the origin of the Stokes space of the optical signal to be recognized, S1Is the first sampled signal, s2Is the second sampled signal, S1、S2、S3Representing the spatial coordinates of S.
Optionally, the optical signal receiving device maps each group of the ideal digital signals to Stokes vectors in a Stokes space of the ideal digital signals, and the calculating module 1103 is specifically configured to calculate the ideal digital signals according to a formula
Mapping each set of the ideal digital signals to Stokes vectors in Stokes space of the ideal digital signals, wherein S ' represents the Stokes vectors, S ' in Stokes space of the ideal digital signals '0Representing the distance S 'to the origin of Stokes space of the ideal digital signal, while being the first ideal sampling signal S'1And a second ideal sampling signal s'2Of energy sum, S'1，S'2，S′3The S' spatial coordinates of the representation.
In the case of an integrated module, the means for identifying the modulation format of the optical signal comprise: the device comprises a storage unit, a processing unit and an interface unit. The processing unit is configured to control and manage the actions of the identification apparatus for the optical signal modulation format, for example, the processing unit is configured to support the identification apparatus for the optical signal modulation format to execute the process 202 and 205 in fig. 2. And an interface unit, configured to support information interaction between the identification apparatus of the optical signal modulation format and other devices, to implement 201 in fig. 2. A storage unit for storing program codes and data of the identification means of the modulation format of the optical signal.
For example, the processing unit is a processor, the storage unit is a memory, and the interface unit is a communication interface. The device for identifying the modulation format of the optical signal is shown in fig. 12 and includes a communication interface 1201, a processor 1202, a memory 1203 and a bus 1204, where the communication interface 1201 and the processor 1202 are connected to the memory 1203 through the bus 1204.
The Memory 1203 may be a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, optical disk storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
The memory 1203 is used for storing application program codes for executing the scheme of the application, and the processor 1202 controls the execution of the application program codes. The communication interface 1201 is used for information interaction with other devices, for example, information interaction between the identification apparatus supporting the optical signal modulation format and other devices, for example, data acquisition from other devices or data transmission to other devices. The processor 1202 is configured to execute application program code stored in the memory 1203, thereby implementing the methods described in the embodiments of the present application.
Further, a computing storage medium (or media) is also provided, which comprises instructions that when executed perform the method operations performed by the apparatus for identifying an optical signal modulation format in the above embodiments. Additionally, a computer program product is also provided, comprising the above-described computing storage medium (or media).
All relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and the function thereof is not described herein again.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A method for identifying the modulation format of an optical signal,
the optical signal receiving equipment receives an optical signal to be identified from a transmission optical fiber, and demultiplexes the optical signal to be identified into a first optical signal and a second optical signal, wherein the first optical signal and the second optical signal are optical signals in a mixed modulation format;
the optical signal receiving equipment samples the first optical signal and the second optical signal to obtain at least one group of digital signals to be identified, wherein each group of digital signals to be identified is obtained by sampling the first optical signal and the second optical signal once, and each group of digital signals to be identified comprises a first sampling signal obtained by sampling the first optical signal and a second sampling signal obtained by sampling the second optical signal;
the optical signal receiving equipment maps each group of digital signals to be identified into Stokes vectors in the Stokes space of the digital signals to be identified, and normalizes the Stokes vectors in the Stokes space of the digital signals to be identified;
the optical signal receiving device determines a second target energy layer corresponding to a first target energy layer determined by at least one ideal optical signal in the Stokes space of the ideal digital signal in the Stokes space of the digital signal to be identified;
the optical signal receiving equipment acquires the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, determining that the optical signal to be identified and the target ideal optical signal adopt the same modulation format; wherein the target ideal optical signal is any one of at least one ideal optical signal corresponding to at least one ideal digital signal;
wherein the Stokes space of the ideal digital signal comprises at least one energy layer, each energy layer comprises at least one Stokes vector, and the at least one energy layer is obtained by dividing the energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector of the ideal digital signal, wherein the first ideal sampling signal is obtained by sampling a first multiplexed optical signal in the ideal optical signal, and the second ideal sampling signal is obtained by sampling a second multiplexed optical signal in the ideal optical signal; and the Stokes vector in the Stokes space of the ideal digital signal is generated from an ideal digital signal map obtained by sampling the ideal optical signal, the ideal digital signal comprising the first ideal sampled signal and the second ideal sampled signal.
2. The method for identifying an optical signal modulation format according to claim 1, wherein before determining a second target energy layer corresponding to a first target energy layer determined by a Stokes space of at least one ideal digital signal in the Stokes space of the digital signal to be identified, further comprising:
the optical signal receiving device receives the ideal optical signal, wherein the ideal optical signal comprises a first multiplexed optical signal and a second multiplexed optical signal which adopt different known modulation formats;
the optical signal receiving device samples the first multiplexed optical signal and the second multiplexed optical signal to obtain at least one group of ideal digital signals including the first ideal sampling signal and the second ideal sampling signal, wherein each group of ideal digital signals is obtained by sampling the first multiplexed optical signal and the second multiplexed optical signal at one time, and each group of ideal digital signals includes a first ideal sampling signal obtained by sampling the first multiplexed optical signal and a second ideal sampling signal obtained by sampling the second multiplexed optical signal;
the optical signal receiving device maps each set of the ideal digital signals into Stokes vectors in a Stokes space of the ideal digital signals, and calculates an energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector in the Stokes space of the ideal digital signals;
the optical signal receiving equipment is used for layering according to the energy and a Stokes vector in a Stokes space of the ideal digital signal to obtain at least one energy layer;
the optical signal receiving equipment obtains the clustering number of each energy layer through a machine learning algorithm, selects an energy layer with the clustering number different from that of the at least one energy layer obtained by other ideal optical signals from the at least one energy layer obtained by any ideal optical signal, and takes the energy layer with the least clustering number in the selected energy layers as a first target energy layer.
3. The method for identifying an optical signal modulation format according to claim 1, wherein the optical signal receiving apparatus maps each group of the digital signals to be identified into a Stokes vector in a Stokes space of the digital signals to be identified, including:
the optical signal receiving device is based on a formula
Mapping each group of the digital signals to be identified into a Stokes vector in the Stokes space of the digital signals to be identified, wherein S represents the Stokes vector in the Stokes space of the digital signals to be identified, and S0Representing the distance S from the origin of the Stokes space of the digital signal to be recognized, S1Is the first sampled signal, s2Is the second sampled signal, S1、S2、S3Representing the spatial coordinates of S.
4. The method of identifying an optical signal modulation format according to claim 2, wherein the optical signal receiving apparatus maps each set of the ideal digital signals to Stokes vectors in Stokes space of the ideal digital signals, including:
the optical signal receiving device is based on a formula
Mapping each set of the ideal digital signals to a Stokes vector in a Stokes space of the ideal digital signals, wherein,
a Stokes vector in a Stokes space representing the ideal digital signal,
to represent
A distance to the origin of the Stokes space of the ideal digital signal, and at the same timeFirst ideal sampling signal
And a second ideal sampling signal
The sum of the energies of (a) and (b),
、
、
of the representation
Spatial coordinates.
5. An identification device of optical signal modulation format, which is used for an optical signal receiving device or a chip of the optical signal receiving device,
the receiving module is used for receiving an optical signal to be identified from a transmission optical fiber and demultiplexing the optical signal to be identified into a first optical signal and a second optical signal, wherein the first optical signal and the second optical signal are optical signals in a mixed modulation format;
the sampling module is configured to sample the first optical signal and the second optical signal received and processed by the receiving module to obtain at least one group of digital signals to be identified, where each group of digital signals to be identified is obtained by sampling the first optical signal and the second optical signal once, and each group of digital signals to be identified includes a first sampling signal obtained by sampling the first optical signal and a second sampling signal obtained by sampling the second optical signal;
the computing module is used for mapping each group of digital signals to be identified, which are sampled by the sampling module, into a Stokes vector in the Stokes space of the digital signals to be identified, and performing normalization processing on the Stokes vector in the Stokes space of the digital signals to be identified;
the processing module is used for determining a second target energy layer corresponding to a first target energy layer determined by at least one ideal optical signal in the Stokes space of the ideal digital signal in the Stokes space of the digital signal to be identified; acquiring the clustering number N of the Stokes vectors in the second target energy layer through a machine learning algorithm; if the clustering number N and the clustering number N of the Stokes vectors in the first target energy layer of the target ideal digital signal are determineddetIf the difference value meets the preset condition, determining that the optical signal to be identified and the target ideal optical signal adopt the same modulation format; wherein the target ideal optical signal is any one of at least one ideal optical signal corresponding to at least one ideal digital signal;
wherein the Stokes space of the ideal digital signal comprises at least one energy layer, each energy layer comprises at least one Stokes vector, and the at least one energy layer is obtained by dividing the energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector of the ideal digital signal, wherein the first ideal sampling signal is obtained by sampling a first multiplexed optical signal in the ideal optical signal, and the second ideal sampling signal is obtained by sampling a second multiplexed optical signal in the ideal optical signal; and the Stokes vector in the Stokes space of the ideal digital signal is generated from an ideal digital signal map obtained by sampling the ideal optical signal, the ideal digital signal comprising the first ideal sampled signal and the second ideal sampled signal.
6. The apparatus for identifying a modulation format of an optical signal according to claim 5,
the receiving module is further configured to receive the ideal optical signal, where the ideal optical signal includes a first multiplexed optical signal and a second multiplexed optical signal that use different known modulation formats;
the sampling module is further configured to sample the first multiplexed optical signal and the second multiplexed optical signal processed by the receiving module, so as to obtain at least one group of ideal digital signals, where each group of ideal digital signals is obtained by sampling the first multiplexed optical signal and the second multiplexed optical signal at one time, and each group of ideal digital signals includes a first ideal sampling signal obtained by sampling the first multiplexed optical signal and a second ideal sampling signal obtained by sampling the second multiplexed optical signal;
the calculating module is further configured to map each group of ideal digital signals sampled by the sampling module into Stokes vectors in a Stokes space of the ideal digital signals, and calculate an energy sum of a first ideal sampling signal and a second ideal sampling signal in each Stokes vector in the Stokes space of the ideal digital signals;
the processing module is further configured to perform layering on the energy obtained through calculation by the calculation module and a Stokes vector in a Stokes space of the ideal digital signal to obtain at least one energy layer;
the processing module is further configured to obtain the number of clusters in each energy layer through a machine learning algorithm, select, from the at least one energy layer obtained from any one of the ideal light signals, an energy layer different from the number of clusters of the at least one energy layer obtained from the other ideal light signals, and use, as the first target energy layer, the energy layer with the smallest number of clusters in the selected energy layer.
7. Apparatus for identifying an optical signal modulation format according to claim 5, wherein the optical signal receiving device maps each group of the digital signals to be identified into a Stokes vector in a Stokes space of the digital signals to be identified, the calculation module being in particular configured to calculate the value of the Stokes vector according to a formula
Mapping each group of the digital signals to be identified into Stokes space of the digital signals to be identifiedStokes vectors in space, wherein S represents a Stokes vector in the Stokes space of the digital signal to be identified, S0Representing the distance S from the origin of the Stokes space of the digital signal to be recognized, S1Is the first sampled signal, s2Is the second sampled signal, S1、S2、S3Representing the spatial coordinates of S.
8. Apparatus for identifying an optical signal modulation format according to claim 6, wherein the optical signal receiving device maps each set of the ideal digital signals to a Stokes vector in a Stokes space of the ideal digital signals, the calculation module being in particular configured to calculate the desired modulation format from a formula
Mapping each set of the ideal digital signals to a Stokes vector in a Stokes space of the ideal digital signals, wherein,
a Stokes vector in a Stokes space representing the ideal digital signal,
to represent
A distance to the origin of the Stokes space of the ideal digital signal, while being the first ideal sampling signal
And a second ideal sampling signal
The sum of the energies of (a) and (b),
、
、
of the representation
Spatial coordinates.
9. The identification device of the modulation format of an optical signal is characterized by comprising a communication interface, a processor, a memory and a bus; the memory is used for storing computer-executable instructions, the processor is connected with the memory through the bus, and when the identification device of the optical signal modulation format runs, the processor executes the computer-executable instructions stored by the memory, so that the identification device of the optical signal modulation format executes the identification method of the optical signal modulation format according to any one of claims 1 to 4.
10. A computer storage medium comprising instructions that, when run on a computer, cause the computer to perform a method of identifying an optical signal modulation format according to any one of claims 1-4.
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