CN117896004B - Signal distortion processing method for multimode photoelectric hybrid communication cable - Google Patents
Signal distortion processing method for multimode photoelectric hybrid communication cable Download PDFInfo
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Abstract
The invention relates to the technical field of electric signal processing, in particular to a signal distortion processing method of a multimode photoelectric hybrid communication cable, which comprises the following steps: the method comprises the steps of calculating main component weights of each type of phases of a multimode optical signal in an optical-electrical hybrid communication cable, obtaining clustering distance values of any two types of phases according to the main component weights of each type of phases, clustering all types of phases in the multimode optical signal to estimate main optical signal components in the multimode optical signal, then performing ICA decomposition on an electric signal to obtain all modulation components, and obtaining a pure frequency modulation function of each PF component during LMD decomposition of the electric signal according to the modulation components. The invention avoids distortion influence of a plurality of main optical signal components of the multimode optical signals on the electric signals, and ensures that the multimode photoelectric hybrid communication cable is more stable for long-distance power supply of equipment.
Description
Technical Field
The invention relates to the technical field of electric signal processing, in particular to a signal distortion processing method of a multimode photoelectric hybrid communication cable.
Background
The multimode photoelectric hybrid communication cable is a communication cable integrating optical fibers and cable transmission functions. The cable uses multimode optical fibers to transmit data signals, uses copper wires to transmit electric signals, and achieves photoelectric hybrid communication by taking the advantages of the multimode optical fibers and the copper wires, and is generally used in the fields of data centers, communication base stations, industrial automation and the like which need to transmit high-capacity optical signals and low-frequency electric signals at the same time. Although the multimode photoelectric hybrid communication cable can ensure that the electric signal can not interfere with the transmission of the data signal, the electric signal which is generally transmitted by the multimode photoelectric hybrid communication cable remote equipment for power supply is a low-frequency electric signal, the low-frequency electric signal is more easily interfered by the optical signal, particularly, the multimode optical signal has the problem of time jitter generally, complex modulation interference can be inevitably generated on the low-frequency electric signal, the low-frequency electric signal generates high-frequency distortion with offset characteristic, and the problem of unstable power supply of the long-distance equipment possibly occurs. The existing method for eliminating signal distortion by placing a filter or compensator at the cable junction, but when there is time jitter in the modulated distorted electrical signal, the indiscriminate smoothing method may cause secondary distortion of the electrical signal.
Disclosure of Invention
The invention provides a signal distortion processing method of a multimode photoelectric hybrid communication cable, which aims to solve the problem that when the existing multimode photoelectric hybrid communication cable transmits multimode optical signals and electric signals, the multimode optical signals can cause low-frequency electric signals to generate high-frequency distortion with offset characteristics, and the electric signals can generate secondary distortion when the signals are directly processed by an indiscriminate smoothing method.
The signal distortion processing method of the multimode photoelectric hybrid communication cable adopts the following technical scheme:
an embodiment of the present invention provides a signal distortion processing method for a multimode photoelectric hybrid communication cable, including the steps of:
Acquiring multimode optical signals and electrical signals transmitted by a multimode photoelectric hybrid communication cable;
Performing short-time Fourier transform on the multimode optical signal to obtain a plurality of short-time windows, obtaining all kinds of phases in all short-time windows of the multimode optical signal, obtaining the main component weight of each kind of phase according to all kinds of phases in all short-time windows of the multimode optical signal, obtaining the clustering distance value of any two kinds of phases according to the main component weight of each kind of phases, obtaining all phase clusters of all kinds of phases according to the clustering distance value of any two kinds of phases, and obtaining the phase clusters of a plurality of main optical signal components according to all phase clusters of all kinds of phases;
Performing iterative decomposition on the electric signal to obtain all the formulated modulation signals and formulated baseline signals when the electric signal is decomposed in each iteration, obtaining all the maximum points of each formulated modulation signal when the electric signal is decomposed in each iteration, obtaining the offset characteristic value of each formulated modulation signal according to all the maximum points of each formulated modulation signal when the electric signal is decomposed in each iteration, obtaining the objective function of the decomposition result when the electric signal is decomposed in each iteration according to the phase clusters of all the main optical signal components, the formulated baseline signals and the offset characteristic values of each formulated modulation signal, obtaining all the modulation components according to the objective function of the decomposition result when the electric signal is decomposed in each iteration, obtaining all the PF components when the electric signal is decomposed in the LMD according to all the modulation components, and obtaining the electric signal with signal distortion eliminated according to all the PF components when the electric signal is decomposed in the LMD.
Further, the main component weight of each class of phase is obtained according to all classes of phases in all short-time windows of the multimode optical signal, and the specific steps are as follows:
Taking the same phase appearing in the multimode optical signal as a class of phase, and acquiring all classes of phases in all short-time windows of the multimode optical signal;
Wherein i represents the i-th phase, Principal component weights representing class i phases,/>Represents the number of short-time windows containing the i-th phase, N represents the number of all short-time windows of the multimode optical signal, and e represents a natural constant.
Further, the step of obtaining the clustering distance value of any two types of phases according to the main component weight of each type of phase comprises the following specific steps:
Acquiring all sine waves in all short-time windows of the multimode optical signal and the corresponding phase of each sine wave;
acquiring the frequencies of all sine waves in all short-time windows of the multimode optical signal;
wherein a represents a class a phase, b represents a class b phase, Numerical value representing class a phase,/>Numerical value representing class b phase,/>Principal component weights representing class a phases,/>Principal component weights representing class b phases,/>Representing all frequencies of all sine waves containing class a phases,/>All frequencies representing all sine waves containing class b phases,/>Representing the variance of all frequencies of all sinusoids comprising a class a phase,/>Representing the variance of all frequencies of all sinusoids comprising phase b >Represents a tangent function,/>Cluster distance values representing class a and class b phases.
Further, the clustering distance value according to any two kinds of phases is all phase clusters of all kinds of phases, and the specific steps are as follows:
And obtaining the optimal cluster quantity of all the class phases of the multimode optical signal by using an elbow method, inputting the optimal cluster quantity into k-means, and carrying out k-means clustering on all the phases of the multimode optical signal to obtain all the phase clusters of all the class phases in the multimode optical signal.
Further, the step of obtaining the phase clusters of the plurality of main optical signal components according to all phase clusters of all phase classes comprises the following specific steps:
Obtaining the average main body component weight of each phase cluster in all phase clusters of all phase classes, presetting a main body component weight threshold, and removing the phase clusters with the average main body component weight smaller than the main body component weight threshold to obtain the phase clusters of a plurality of main body optical signal components.
Further, the step of obtaining the offset characteristic value of each of the proposed modulation signals according to all maximum value points of each of the proposed modulation signals when the electrical signals are decomposed in each iteration includes the following specific steps:
the phase clustering quantity of all main optical signal components is recorded as A;
Iteratively decomposing the electric signal with the component number of ICA equal to A+1 to obtain all decomposition signals obtained when the electric signal is iteratively decomposed each time, obtaining frequency domain signals of all decomposition signals by utilizing Fourier transformation, obtaining the average frequency of each decomposition signal according to the frequency domain signals of all decomposition signals, taking one decomposition signal with the minimum average frequency in all decomposition signals obtained when the electric signal is iteratively decomposed each time as a formulated baseline signal, and taking other decomposition signals as formulated modulation signals to obtain A formulated modulation signals and a formulated baseline signal;
acquiring all maximum value points of each formulated modulation signal when the electric signal is decomposed in each iteration;
taking any one of the planned modulation signals as a target planned modulation signal, taking other planned modulation signals as non-target planned modulation signals, taking any one maximum point of the target planned modulation signals as a target maximum point, taking one maximum point of which the moment value on any one non-target planned modulation signal is smaller than the moment value of the target maximum point and the absolute value of the difference value between the moment value of the target maximum point is minimum, and forming a comparison point group with the target maximum point, wherein the absolute value of the difference value between the moment values of the two maximum points of each comparison point group is the offset of each comparison point group;
acquiring all contrast point groups of each maximum point of each target sketched modulation signal on all non-target sketched modulation signals when the electric signal is decomposed in each iteration;
where o represents the o-th target proposed modulation signal, n represents the n-th non-target proposed modulation signal, A represents the total number of proposed modulation signals, Represents the (u) th maximum point of the (o) th target proposed modulation signal,/>Representing the maximum value point of the same contrast point group with the u maximum value point of the o target sketch modulation signal in any non-target sketch modulation signal,/>The/>, representing the nth non-target proposed modulation signalMaximum point,/>A nth maximum point representing an nth target-proposed modulation signal and a nth/>, non-target-proposed modulation signalOffset of the comparison point group where each maximum point is located,/>Representing the number of maxima of the o-th target proposed modulation signal,/>Representing a dispersion normalization function,/>Representing the offset eigenvalue of the o-th target proposed modulation signal.
Further, the objective function of the decomposition result of each iteration decomposition of the electrical signal is obtained according to the phase clusters of all the main optical signal components, the proposed baseline signal and the offset eigenvalue of each proposed modulation signal, and the specific steps are as follows:
Acquiring all current intensities of the drawn baseline signal, taking the current intensities with the same value as one type of current intensity, and obtaining the distribution probability of each type of current intensity of the drawn baseline signal;
Acquiring an average phase value in each cluster in the phase clusters of each main optical signal component;
arranging the phase clusters of all main optical signal components of the multimode optical signal according to the sequence from the large average phase value to the small average phase value to obtain a phase cluster sequence;
All the planned modulation signals of the decomposition result of each iterative decomposition of the electric signal are arranged according to the sequence from the big to the small of the offset characteristic value, and a planned modulation signal sequence is obtained;
Combining each phase cluster in the phase cluster sequence with a planned modulation signal at the same position in the planned modulation signal sequence to obtain a plurality of sequence groups;
wherein z represents the formulated baseline signal, s represents the s-th class current intensity in the formulated baseline signal, Representing the number of classes of amperages in developing a baseline signal,/>Representing the probability of the distribution of class s current intensities in the developed baseline signal,Representing the average of the distribution probabilities of all class current intensities in the formulated baseline signal,/>Standard deviation representing the probability of distribution of all class current intensities in the proposed baseline signal; v represents the v-th sequence group, A represents the total number of proposed modulation signals,/>Average phase of phase clusters representing the v-th sequence group,/>An offset eigenvalue of the proposed modulation signal representing the v-th sequence set; /(I)And an objective function output value representing the decomposition result of each iteration of the electrical signal.
Further, the method obtains all modulation components according to the objective function of the decomposition result of each iteration decomposition of the electric signal, and comprises the following specific steps:
Obtaining an objective function output value of a decomposition result when the electric signal is decomposed in each iteration, and obtaining a primary decomposition result with the minimum objective function output value from the decomposition results of all the iterative decomposition as an optimal ICA decomposition result of the electric signal;
all the proposed modulation signals in the optimal ICA decomposition result are taken as all the modulation components.
Further, the specific steps of obtaining all PF components when the electric signal LMD is decomposed according to all the modulation components are as follows:
sequencing all the modulation components according to the sequence from the high frequency to the low frequency to obtain a modulation component sequence;
acquiring a mean envelope function of the modulation component of each sequence number on the modulation component sequence;
obtaining a PF component sequence according to the decomposition sequence of all PF components when the electrical signal is subjected to LMD decomposition;
obtaining all undetermined component signals generated when decomposing each PF component in the PF component sequence, obtaining a mean value envelope function of each undetermined component signal generated when decomposing each PF component in the PF component sequence, calculating a difference absolute value between a standard deviation of the mean value envelope function of each undetermined component signal generated when decomposing each PF component in the PF component sequence and a standard deviation of the mean value envelope function of the modulation components at the same position in the modulation component sequence, and taking one undetermined component signal with the smallest difference absolute value as a pure frequency modulation function of each PF component in the PF component sequence, and obtaining all PF components according to the pure frequency modulation function of all PF components.
Further, the method for obtaining the electric signal for eliminating signal distortion according to all PF components during the LMD decomposition of the electric signal comprises the following specific steps:
And respectively filtering and smoothing all PF components of the electric signal by using an average filter, overlapping and reconstructing all PF components of the smoothed electric signal with the baseline signal, and obtaining the electric signal for eliminating signal distortion.
The technical scheme of the invention has the beneficial effects that: according to the invention, main component weight calculation is carried out on each type of phase of the multimode optical signal in the photoelectric signal transmitted by the multimode photoelectric hybrid communication cable, then the clustering distance value of any two types of phases is obtained according to the main component weight of each type of phase, all types of phases in the multimode optical signal are clustered to estimate main optical signal components in the multimode optical signal, then all modulation components are obtained by decomposing an electric signal, and a pure frequency modulation function of each PF component when the electric signal LMD is decomposed is obtained according to the modulation components, so that each PF component decomposed in the electric signal can be in one-to-one correspondence with the influence of each main optical signal component of the multimode optical signal on the electric signal, and further, all modulation components influenced by the multimode optical signal in the electric signal can be filtered and smoothed respectively, thereby completely eliminating signal distortion, avoiding the problem that secondary distortion is possibly caused by different offset interference of a plurality of main optical signal components of the multimode optical signal components on the electric signal, and the multimode photoelectric hybrid communication cable is more stable for long distance of equipment.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of steps of a signal distortion processing method of a multimode photoelectric hybrid communication cable according to the present invention;
FIG. 2 is a schematic diagram of a set of control points for each maximum value of a target proposed modulated signal according to the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purpose, the following detailed description refers to the specific implementation, structure, characteristics and effects of a signal distortion processing method for a multimode photoelectric hybrid communication cable according to the present invention, which is described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of a signal distortion processing method of a multimode photoelectric hybrid communication cable provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a flowchart illustrating a signal distortion processing method of a multimode photoelectric hybrid communication cable according to an embodiment of the invention is shown, and the method includes the following steps:
and S001, acquiring a multimode optical signal and an electrical signal transmitted by the multimode photoelectric hybrid communication cable.
The multimode photoelectric hybrid communication cable is subjected to transmission test, one end of the cable is connected with a photoelectric signal input end, the input end is composed of a laser diode and a power interface, the other end of the cable is connected with a photoelectric signal output end, the output end is composed of an optical receiver and a cable connector, when the input end transmits optical signals and electric signals, the signals are received at the output end and transmitted to a data processing module to obtain a group of optical signals and electric signals, the optical signals received at the output end are called multimode optical signals, the multimode optical signals and the electric signals are signal curves on a time sequence after analog-digital conversion, the transverse axis of the multimode optical signals is time, the longitudinal axis of the multimode optical signals is light intensity, the transverse axis of the electric signals is time, and the longitudinal axis of the electric signals is current intensity.
Step S002, performing short-time Fourier transform on the multimode optical signal to obtain a plurality of short-time windows and all sine waves in each short-time window, obtaining all kinds of phases in all short-time windows of the multimode optical signal, obtaining the main component weight of each kind of phase according to all kinds of phases in all short-time windows of the multimode optical signal, obtaining the clustering distance value of any two kinds of phases according to the main component weight of each kind of phases, obtaining all phase clusters of all kinds of phases according to the clustering distance value of any two kinds of phases, and obtaining the phase clusters of a plurality of main optical signal components according to all phase clusters of all kinds of phases.
The photoelectric signals can interfere with each other in the photoelectric hybrid transmission process, but because the transmission frequencies are different, the loss influence of the optical signals influenced by the low-frequency electric signals is small, and the influence of the low-frequency electric signals on the optical signals is large; for a multimode photoelectric hybrid communication cable, electromagnetic field changes caused by changes in the multimode optical signal transmission process, and modulation effect is generated on an electric signal in photoelectric hybrid transmission, wherein modulation is that a frequency modulation signal containing optical signal change characteristics is superimposed in the electric signal, and demodulation is that an original electric signal is extracted from the modulated electric signal.
Because of the time jitter problem caused by the inter-mode dispersion of the multimode optical signal, the modulation effect of the multimode optical signal on the electric signal belongs to transverse FM modulation, namely the phase of the influenced electric signal can be changed, so that the electric signal cannot be directly subjected to filtering treatment so as to avoid secondary distortion of the electric signal, and the modulation components contained in the electric signal are required to be decomposed and the modulation components are singly subjected to filtering treatment;
The LMD signal decomposition algorithm is selected in this embodiment, because the LMD can gradually decompose the electrical signal into a sum of a plurality of product functions and a residual component in a multi-loop iteration manner, where each product function is a product of an envelope function and a pure frequency modulation function, and the product function component obtained by this multiplication is essentially a single component modulation signal, which should theoretically correspond to a certain physical process, so that the frequency modulation signal superimposed in the electrical signal can be effectively identified.
Acquiring all extreme points on the electric signal, wherein all the extreme points comprise a plurality of maximum value points and a plurality of minimum value points;
Solving the average value of all adjacent extreme points on the electric signal, and carrying out nonlinear fitting on the average value to obtain a local average value function;
Performing nonlinear fitting on all maximum points on the electric signal to obtain an upper envelope, performing nonlinear fitting on all minimum points on the electric signal to obtain a lower envelope, and averaging the upper envelope and the lower envelope to obtain a mean value envelope function;
The frequency modulation function decomposition logic of the existing LMD is as follows:
The electric signal is an input signal of a first PF component, a differential function of the electric signal and a local mean function is obtained, the differential function is demodulated by utilizing the mean envelope function, a pending component signal is obtained, the mean envelope function of the pending component signal is obtained, and if the mean envelope function of the pending component signal is equal to 1, the pending component signal is regarded as a first pure frequency modulation function; it should be noted that: if the mean value envelope function of the undetermined component signal is not equal to 1, taking the undetermined component signal as an input signal, and repeatedly performing the steps to obtain a new undetermined component signal until the undetermined component signal is a pure frequency modulation function; multiplying all mean value envelope functions generated in the iterative process to obtain a first envelope signal, and multiplying a first pure frequency modulation function with the first envelope function to obtain a first PF component;
subtracting the first PF component from the electric signal to obtain an input signal of a second PF component, repeating the steps to obtain the second PF component, and the like to obtain all PF components;
The determination rule of the pure frequency modulation function of each PF component of the electrical signal is equal to 1, if each PF component is regarded as a modulation interference component of a main body, the determination rule of the pure frequency modulation function is to decompose the signal of the undetermined component until no fluctuation feature exists, so that the demodulated PF component may not be in one-to-one correspondence with the modulation interference component actually existing in the electrical signal, and if all modulation interference in the electrical signal is completely eliminated and effective information of the electrical signal is not damaged, adaptive adjustment is needed to be performed on the determination rule of the pure frequency modulation function of each PF component so as to ensure the coincidence degree of the PF component and the actual physical quantity.
The time jitter of multimode optical signals is caused by intermodal dispersion, i.e. optical signal components with different propagation modes, and before updating the frequency modulation function determination rule of the LMD, all optical signal components possibly generating modulation effect on the electrical signal in the optical signal need to be extracted, specifically:
(1) Calculating the main component weight of each phase:
Short-time Fourier transform (STFT) is carried out on the multimode optical signal, the short-time Fourier transform can decompose the multimode optical signal into a plurality of sine waves with different frequencies, meanwhile, time domain information is reserved, the short-time window length of the STFT is set to be 1 second, the STFT carries out the Fourier transform independently in each short-time window, and therefore, the frequencies and phases of all the sine waves in each short-time window are possibly different; and obtaining frequency information of all sine waves in each short-time window after STFT conversion of the multimode optical signal and phase information of all sine waves in each short-time window after STFT conversion of the multimode optical signal, wherein the phase units are degrees (angles), and the phase information can represent time offsets of the signals on different frequencies.
Taking the same phase appearing in the multimode optical signal as a type of phase, and acquiring all types of phases in all short-time windows of the multimode optical signal and all sine waves containing each type of phase;
The multi-mode optical signal has a plurality of propagation modes, each propagation mode optical signal is a main optical signal component in the multi-mode optical signal, each main optical signal component has a stable phase characteristic, and all phases in the multi-mode optical signal are caused by the main optical signal components in all different propagation modes in the multi-mode optical signal, so that the phases can represent the class number of the main optical signal components in the multi-mode optical signal; the more likely that one type of phase appears in all short-time windows is the phase characteristic of one type of main body optical signal component, while the phase appears in only a small number of short-time windows is the phase characteristic of non-main body optical signal components such as noise or fluctuation components of the multimode optical signal, so as to calculate the main body component weight of each type of phase after STFT conversion of the multimode optical signal:
Wherein i represents the i-th phase, Principal component weights representing class i phases,/>Representing the number of short-time windows containing the i-th phase, N represents the number of all short-time windows of the multimode optical signal, and e represents a natural constant;
a ratio of the number of all short-time windows representing the multimode optical signal to the number of short-time windows comprising the i-th phase, the closer the ratio is to 1, the more the i-th phase appears in all short-time windows in the whole multimode optical signal, thus Smaller represents higher principal component weights for class i phases,/>Representing correction of logical relationships using exponential functions based on natural constants,/>Smaller/>The larger the range between 0 and 1;
The larger the probability that the i-th type phase is the phase characteristic of the main optical signal component in the multimode optical signal is larger;
acquiring the main body component weights of all class phases;
(2) For all kinds of phases of the multimode optical signal, constructing clustering distance values of any two kinds of phases according to the main body component weights of all kinds of phases:
wherein a represents a class a phase, b represents a class b phase, Numerical value representing class a phase,/>Numerical value representing class b phase,/>Principal component weights representing class a phases,/>Principal component weights representing class b phases,/>Representing all frequencies of all sine waves containing class a phases,/>All frequencies representing all sine waves containing class b phases,/>Representing the variance of all frequencies of all sinusoids comprising a class a phase,/>Representing the variance of all frequencies of all sinusoids comprising phase b >Represents a tangent function,/>A cluster distance value representing a class a phase and a class b phase;
Representing absolute values of differences between the a-type phase and the b-type phase, wherein smaller absolute values of differences represent smaller clustering distances between the a-type phase and the b-type phase, and the phase units are degrees, so/> Converting the value range of the absolute value of the difference value between the class a phase and the class b phase into a real number set range which is more than or equal to 0 by using a tangent function, and taking the dimension as a unified formula;
When any two types of phases are clustered and the clustering distance is calculated, attention needs to be paid to whether the two types of phases are phase characteristics of main optical signal components in the multimode optical signal, The larger the product of the main component weight representing the a type phase and the main component weight representing the b type phase is, the more the a type phase and the b type phase are the phase characteristics of the main optical signal components in the multimode optical signal, and the/>The smaller the clustering distance of the a and b type phases is, the smaller the clustering distance is; conversely, when the product of the two types of the phase-shifting signals is smaller, the phase-shifting signals represent that the a-th phase and the b-th phase are the phase characteristics of non-main body optical signal components in the multimode optical signal, or one is the phase characteristics of main body optical signal components and the other is the phase characteristics of non-main body optical signal components, the clustering distance of the a-th phase and the b-th phase should be larger so as to avoid that the phase characteristics of the non-main body optical signal components and the phase characteristics of the main body optical signal components are classified into one type;
absolute value of difference representing variance of all frequencies of all sine waves including a type a phase and variance of all frequencies of all sine waves including a type b phase,/> 、/>Represents the frequency distribution of all sine waves containing class a and class b phases, respectively, and therefore/>The smaller the distribution difference of the a-type and b-type phases in different sine waves is smaller, the larger the probability that the a-type and b-type phases are the phase characteristics of the same main optical signal component is, and the smaller the clustering distance of the a-type and b-type phases is; thus use/>As a cluster distance value of the a-th phase and the b-th phase;
Obtaining clustering distance metric values of any two types of phases;
(3) K-means clustering is carried out on all phases in the multimode optical signal by using clustering distance metric values of any two types of phases:
Increasing the number of class clusters from k=2 to iterate k values, obtaining a plurality of phase clusters from the iterated k values, obtaining an optimal k value from all iterated k values by using an elbow method, and obtaining optimal clustering results of all phases in the multimode optical signal by using the optimal k value, wherein the optimal clustering results are k phase clusters;
calculating the average main body component weight of each phase cluster in the k phase clusters, presetting a main body component weight threshold to be 0.4, removing the phase clusters with the average main body component weight smaller than the main body component weight threshold, and obtaining phase clusters of A main body optical signal components from the k phase clusters;
Step S003, performing iterative decomposition on the electric signal, obtaining all the formulated modulation signals and formulated baseline signals when the electric signal is decomposed in each iteration, obtaining all the maximum points of each formulated modulation signal when the electric signal is decomposed in each iteration, obtaining the offset characteristic value of each formulated modulation signal according to all the maximum points of each formulated modulation signal when the electric signal is decomposed in each iteration, obtaining the objective function of the decomposition result when the electric signal is decomposed in each iteration according to the phase clusters of all the main optical signal components, the formulated baseline signals and the offset characteristic value of each formulated modulation signal, obtaining all the modulation components according to the objective function of the decomposition result when the electric signal is decomposed in each iteration, obtaining all the PF components when the electric signal is decomposed in LMD according to all the modulation components, and obtaining the electric signal without signal distortion according to all the PF components when the electric signal is decomposed in LMD.
The ICA independent component analysis is a method for decomposing the mixed signal through an iterative process, but the decomposition logic of the ICA is not decomposed layer by layer, and the decomposition result is more biased to the maximum non-Gaussian characteristic of the baseline signal, so that the independent components in the decomposition result cannot be directly interpreted as a plurality of main optical signal components in the multimode optical signal, the problem of signal time sequence offset cannot be directly solved by utilizing the decomposition result, but reference data can be provided for the pure frequency modulation function judgment rule of the PF component of the LMD by utilizing the ICA decomposition result;
Assuming that each subject optical signal component in the multimode optical signal will produce a modulated signal in the electrical signal, the number of independent components of ICA is set to a+1, i.e., a modulated component signals and a baseline signal, each time the electrical signal is iteratively decomposed. The main optical signal component A extracted from the multimode optical signal is taken as the modulation component signal quantity possibly decomposed in the electric signal, and the electric signal itself has a baseline signal;
performing iterative decomposition on the electric signal by using ICA to obtain all decomposition signals obtained when the electric signal is subjected to iterative decomposition, performing Fourier transform on all decomposition signals obtained when the electric signal is subjected to iterative decomposition, obtaining the average frequency of each decomposition signal in a frequency domain, taking one decomposition signal with the minimum average frequency in all decomposition signals obtained when the electric signal is subjected to iterative decomposition as a formulated baseline signal, taking other decomposition signals as formulated modulation signals, and obtaining A formulated modulation signals and 1 formulated baseline signal in total when the electric signal is subjected to iterative decomposition;
the phase determines the position of the signal wave on the timing axis, the direction of the timing axis is from left to right, and the waveform moves to the right when the phase increases. This is because the phase of the positive periodic signal increases, meaning that the waveform has undergone more periods, with the starting point of each period being farther from the original phase position. Therefore, as the phase increases, the position of the entire waveform on the time axis shifts rightward. Whereas a decrease in phase will cause the waveform to shift to the left.
(1) Calculating an offset characteristic value of a proposed modulation signal in the iterative decomposition result of the electric signal each time:
acquiring all maximum value points of each formulated modulation signal when the electric signal is decomposed in each iteration;
And then obtaining an offset characteristic value of each formulated modulation signal according to all maximum value points of each formulated modulation signal when the electric signal is decomposed in each iteration:
The more the maximum value point of each proposed modulation signal deviates from the maximum value points of all other proposed modulation signals in time sequence, the smaller the probability that the proposed modulation signal is overlapped by other proposed modulation signals is represented, namely the larger the offset of the proposed modulation signals is;
Taking each planned modulation signal as a target planned modulation signal, taking other planned modulation signals as non-target planned modulation signals, taking each maximum point of the target planned modulation signals and one maximum point which is on the left of the time sequence and is closest to any non-target planned modulation signal as a comparison point group, taking the absolute value of the difference value of the time values of the two maximum points of each comparison point group as the offset of each comparison point group, wherein a, b and c respectively represent three planned modulation signals as shown in figure 2, Representing the maximum point of the a-th proposed modulation signal,/>Representing the maximum point of the b th proposed modulation signal,/>Representing the maximum point of the c-th proposed modulation signal, and when b is taken as the target proposed modulation signal,/>Compared with/>Is left and the distance/>, on the modulation signal is proposed for the a-thA nearest maximum point, therefore/>And/>Is a contrast point group,/>Representative/>And/>The absolute value of the difference between the time values as/>And/>The offset of the control point group; /(I)And the same thing represents/>And/>The offset of the control point group;
Each maximum point of the target planned modulation signal is provided with a comparison point group on all other planned modulation signals, so that all comparison point groups of each maximum point of the target planned modulation signal are obtained, and for the decomposition result of each iteration decomposition of the electric signal, the offset characteristic value of the target planned modulation signal is obtained according to all comparison point groups of all maximum points of the target planned modulation signal:
where o represents the o-th target proposed modulation signal, n represents the n-th non-target proposed modulation signal, A represents the total number of proposed modulation signals, Represents the (u) th maximum point of the (o) th target proposed modulation signal,/>Representing the maximum value point of the same contrast point group with the u maximum value point of the o target sketch modulation signal in any non-target sketch modulation signal,/>The/>, representing the nth non-target proposed modulation signalMaximum point,/>A nth maximum point representing an nth target-proposed modulation signal and a nth/>, non-target-proposed modulation signalOffset of the comparison point group where each maximum point is located,/>Representing the number of maxima of the o-th target proposed modulation signal,/>Representing a dispersion normalization function,/>An offset eigenvalue representing the o-th target proposed modulation signal;
The average offset of all the comparison point groups representing all the maximum points of the o-th target personification modulation signal is that each maximum point of the target personification modulation signal is right in time sequence in the comparison point group, so that the larger the average offset of all the comparison point groups representing all the maximum points of the o-th target personification modulation signal is, the more rightward the o-th target personification modulation signal is represented, the larger the phase of the o-th target personification modulation signal is, the deviation normalization is carried out on the average offset of all the comparison point groups of all the maximum points of the o-th target personification modulation signal by using a deviation normalization function, the deviation characteristic value of the o-th target personification modulation signal is obtained, and the larger the deviation characteristic value is represented as the phase of the o-th target personification modulation signal is larger;
(2) Constructing an objective function to obtain an optimal decomposition result of the electric signal:
Further, all current intensities of the planned baseline signal are obtained, the current intensities with the same value are used as one type of current intensity, the distribution probability of all current intensities of the planned baseline signal is obtained, and the objective function of the decomposition result of the electric signal in each iteration decomposition is obtained according to the distribution probability of all current intensities of the planned baseline signal, the deviation characteristic values of all planned modulation signals and the average phase value in each cluster in the phase clusters of all main optical signal components of the multimode optical signal:
Obtaining an average phase value in each of the phase clusters of the A main optical signal components;
Arranging the phase clusters of all main optical signal components of the multimode optical signal according to the sequence from the large average phase value to the small average phase value to obtain a phase cluster sequence, wherein A phase clusters are in the phase cluster sequence;
all the proposed modulation signals of the decomposition result of each iterative decomposition of the electric signal are arranged according to the sequence from big to small of the offset characteristic value, so as to obtain a proposed modulation signal sequence, and A proposed modulation signals in the proposed modulation signal sequence are total;
combining each phase cluster in the phase cluster sequence with a planned modulation signal at the same position in the planned modulation signal sequence to obtain A sequence groups, wherein each sequence group comprises one phase cluster and one planned modulation signal;
wherein z represents the formulated baseline signal, s represents the s-th class current intensity in the formulated baseline signal, Representing the number of classes of amperages in developing a baseline signal,/>Representing the probability of the distribution of class s current intensities in the developed baseline signal,Representing the average of the distribution probabilities of all class current intensities in the formulated baseline signal,/>Standard deviation representing the probability of distribution of all class current intensities in the proposed baseline signal; v represents the v-th sequence group, A represents the total number of proposed modulation signals,/>Average phase of phase clusters representing the v-th sequence group,/>An offset eigenvalue of the proposed modulation signal representing the v-th sequence set; /(I)An objective function output value representing the result of each iteration decomposition of the electrical signal;
Representing the kurtosis of the proposed baseline signal, the ICA decomposed baseline signal has a maximum non-Gaussian, standard Gaussian kurtosis of 3, thus/> Representing a ratio of kurtosis to 3 of the proposed baseline signal, the smaller the ratio, the greater the non-gaussian property of the proposed baseline signal; /(I)The mean square error of the deviation characteristic value of the average phase of the phase clusters representing all the sequence groups and the planned modulation signal is smaller, the higher the phase matching degree of the phase clusters representing the multimode optical signal and the planned modulation signal is, the higher the phase matching degree represents the one-to-one correspondence of the planned modulation signal decomposed in the electric signal and the main optical signal component in the multimode optical signal, namely the better the ICA decomposition result of the electric signal is, the more the modulation component can be accurately decomposed;
the decomposition result of each iterative decomposition of the electric signal outputs an objective function output value, and the primary decomposition result with the minimum objective function output value is taken as the optimal ICA decomposition result of the electric signal;
(3) According to the optimal ICA decomposition result of the electric signal, a judgment rule of a pure frequency modulation function of each PF component in the LMD decomposition process of the electric signal is obtained:
Assuming that all the proposed modulation interference signals in the optimal ICA decomposition result of the electrical signal are regarded as modulation components existing in the electrical signal, the optimal ICA decomposition result is to decompose the electrical signal into a plurality of modulation components phase-matched with the main optical signal components in the multimode optical signal;
Then all the modulation components in the optimal ICA decomposition result are sequenced according to the sequence from the big to the small of frequency, and a modulation component sequence is obtained; acquiring a mean envelope function of the modulation component of each sequence number on the modulation component sequence;
obtaining a PF component sequence according to the sequence when the electrical signal carries out LMD decomposition on all PF components;
Acquiring all undetermined component signals generated when decomposing each PF component in a PF component sequence, acquiring a mean value envelope function of each undetermined component signal generated when decomposing each PF component in the PF component sequence, calculating a difference absolute value from a standard deviation of the mean value envelope function of each undetermined component signal generated when decomposing each PF component in the PF component sequence and a standard deviation of the mean value envelope function of the modulation component at the same position in the modulation component sequence, and taking one undetermined component signal with the smallest difference absolute value as a pure frequency modulation function of each PF component in the PF component sequence, and acquiring all PF components according to the pure frequency modulation function of all PF components;
it should be noted that the standard deviation of the mean envelope function is the standard deviation of all the amplitudes in the mean envelope function;
The method comprises the steps of taking an electric signal as an input signal of a first PF component, obtaining a differential function of the electric signal and a local mean function, demodulating the differential function by utilizing the mean envelope function to obtain a first undetermined component signal, taking the undetermined component signal as the input signal again, carrying out multiple iterations to obtain all undetermined component signals of the first PF component, obtaining the mean envelope function of all undetermined component signals of the first PF component, calculating a difference absolute value by the standard deviation of the mean envelope function of each undetermined component signal of the first PF component and the standard deviation of the mean envelope function of a first modulation component, and taking the undetermined component signal corresponding to the smallest difference absolute value as the first pure frequency modulation function; multiplying the mean value envelope functions of all undetermined component signals generated in the iterative process to obtain a first envelope function, and multiplying the first pure frequency modulation function with the first envelope function to obtain a first PF component;
subtracting the first PF component from the electric signal to obtain an input signal of a second PF component, repeating the steps to obtain the second PF component, and the like to obtain all PF components;
Assuming that each PF component consumes a modulation component when being decomposed, after the modulation components in the modulation component sequence are consumed, continuing to decompose the pure frequency modulation function of the residual PF component of the LMD downwards according to a judging rule that the original mean envelope function is 1 until the last baseline signal is monotonous, and obtaining an LMD decomposition result of the electric signal, wherein the decomposition result comprises a plurality of PF components and one baseline signal;
And installing an average filter at the cable connector to filter and smooth all PF components of the electric signal respectively, overlapping the smoothed PF components with a base line signal, and reconstructing to obtain the electric signal with the modulation interference eliminated.
According to the invention, main component weight calculation is carried out on each type of phase of a multimode optical signal in an optical-electrical hybrid communication cable, then a clustering distance value of any two types of phases is obtained according to the main component weight of each type of phase, all types of phases in the multimode optical signal are clustered to estimate main optical signal components in the multimode optical signal, then an ICA decomposition rule is improved and an electrical signal is decomposed, the electrical signal is decomposed into a plurality of modulation components matched with the main optical signal components in the multimode optical signal, the modulation components are used for adjusting the judging rule of a pure frequency modulation function of each PF component of an LMD, each PF component decomposed in the electrical signal can correspond to modulation interference components generated by the influence of each main optical signal component of the multimode optical signal on the electrical signal one by one, and then all modulation interference components in the electrical signal can be filtered and smoothed respectively, so that signal distortion is completely eliminated, and the multimode optical hybrid communication cable is more stable for long-distance power supply of equipment.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (7)
1. The signal distortion processing method of the multimode photoelectric hybrid communication cable is characterized by comprising the following steps of:
Acquiring multimode optical signals and electrical signals transmitted by a multimode photoelectric hybrid communication cable;
Performing short-time Fourier transform on the multimode optical signal to obtain a plurality of short-time windows, obtaining all kinds of phases in all short-time windows of the multimode optical signal, obtaining the main component weight of each kind of phase according to all kinds of phases in all short-time windows of the multimode optical signal, obtaining the clustering distance value of any two kinds of phases according to the main component weight of each kind of phases, obtaining all phase clusters of all kinds of phases according to the clustering distance value of any two kinds of phases, and obtaining the phase clusters of a plurality of main optical signal components according to all phase clusters of all kinds of phases;
Performing iterative decomposition on the electric signal to obtain all the formulated modulation signals and formulated baseline signals of the electric signal during each iterative decomposition, obtaining all the maximum points of each formulated modulation signal of the electric signal during each iterative decomposition, obtaining the offset characteristic value of each formulated modulation signal according to all the maximum points of each formulated modulation signal of the electric signal during each iterative decomposition, obtaining the objective function of the decomposition result of the electric signal during each iterative decomposition according to the phase clusters of all the main optical signal components, the formulated baseline signals and the offset characteristic values of each formulated modulation signal, obtaining all the modulation components according to the objective function of the decomposition result of the electric signal during each iterative decomposition, obtaining all the PF components of the electric signal during LMD decomposition according to all the modulation components, and obtaining the electric signal for eliminating signal distortion according to all the PF components during the LMD decomposition of the electric signal;
the method comprises the specific steps of:
the phase clustering quantity of all main optical signal components is recorded as A;
Iteratively decomposing the electric signal with the component number of ICA equal to A+1 to obtain all decomposition signals obtained when the electric signal is iteratively decomposed each time, obtaining frequency domain signals of all decomposition signals by utilizing Fourier transformation, obtaining the average frequency of each decomposition signal according to the frequency domain signals of all decomposition signals, taking one decomposition signal with the minimum average frequency in all decomposition signals obtained when the electric signal is iteratively decomposed each time as a formulated baseline signal, and taking other decomposition signals as formulated modulation signals to obtain A formulated modulation signals and a formulated baseline signal;
acquiring all maximum value points of each formulated modulation signal when the electric signal is decomposed in each iteration;
taking any one of the planned modulation signals as a target planned modulation signal, taking other planned modulation signals as non-target planned modulation signals, taking any one maximum point of the target planned modulation signals as a target maximum point, taking one maximum point of which the moment value on any one non-target planned modulation signal is smaller than the moment value of the target maximum point and the absolute value of the difference value between the moment value of the target maximum point is minimum, and forming a comparison point group with the target maximum point, wherein the absolute value of the difference value between the moment values of the two maximum points of each comparison point group is the offset of each comparison point group;
acquiring all contrast point groups of each maximum point of each target sketched modulation signal on all non-target sketched modulation signals when the electric signal is decomposed in each iteration;
where o represents the o-th target proposed modulation signal, n represents the n-th non-target proposed modulation signal, A represents the total number of proposed modulation signals, Represents the (u) th maximum point of the (o) th target proposed modulation signal,/>Representing the maximum value point of the same contrast point group with the u maximum value point of the o target sketch modulation signal in any non-target sketch modulation signal,The/>, representing the nth non-target proposed modulation signalMaximum point,/>A nth maximum point representing an nth target-proposed modulation signal and a nth/>, non-target-proposed modulation signalOffset of the comparison point group where each maximum point is located,/>Representing the number of maxima of the o-th target proposed modulation signal,/>Representing a dispersion normalization function,/>An offset eigenvalue representing the o-th target proposed modulation signal;
All PF components are obtained according to all modulation components when the electric signal LMD is decomposed, and the specific steps are as follows:
sequencing all the modulation components according to the sequence from the high frequency to the low frequency to obtain a modulation component sequence;
acquiring a mean envelope function of the modulation component of each sequence number on the modulation component sequence;
obtaining a PF component sequence according to the decomposition sequence of all PF components when the electrical signal is subjected to LMD decomposition;
Acquiring all undetermined component signals generated when decomposing each PF component in a PF component sequence, acquiring a mean value envelope function of each undetermined component signal generated when decomposing each PF component in the PF component sequence, calculating a difference absolute value from a standard deviation of the mean value envelope function of each undetermined component signal generated when decomposing each PF component in the PF component sequence and a standard deviation of the mean value envelope function of the modulation component at the same position in the modulation component sequence, and taking one undetermined component signal with the smallest difference absolute value as a pure frequency modulation function of each PF component in the PF component sequence, and acquiring all PF components according to the pure frequency modulation function of all PF components;
The method for obtaining the electrical signal for eliminating signal distortion according to all PF components during the LMD decomposition of the electrical signal comprises the following specific steps:
And respectively filtering and smoothing all PF components of the electric signal by using an average filter, overlapping and reconstructing all PF components of the smoothed electric signal with the baseline signal, and obtaining the electric signal for eliminating signal distortion.
2. The signal distortion processing method of a multimode photoelectric hybrid communication cable according to claim 1, wherein the main component weight of each class of phase is obtained according to all classes of phases in all short time windows of the multimode optical signal, comprising the following specific steps:
Taking the same phase appearing in the multimode optical signal as a class of phase, and acquiring all classes of phases in all short-time windows of the multimode optical signal;
Wherein i represents the i-th phase, Principal component weights representing class i phases,/>Represents the number of short-time windows containing the i-th phase, N represents the number of all short-time windows of the multimode optical signal, and e represents a natural constant.
3. The method for processing signal distortion of a multimode photoelectric hybrid communication cable according to claim 1, wherein the step of obtaining the clustering distance value of any two types of phases according to the main component weight of each type of phase comprises the following specific steps:
Acquiring all sine waves in all short-time windows of the multimode optical signal and the corresponding phase of each sine wave;
acquiring the frequencies of all sine waves in all short-time windows of the multimode optical signal;
wherein a represents a class a phase, b represents a class b phase, Numerical value representing class a phase,/>Numerical value representing class b phase,/>Principal component weights representing class a phases,/>Principal component weights representing class b phases,/>Representing all frequencies of all sine waves containing class a phases,/>Representing all frequencies of all sine waves containing a class b phase,Representing the variance of all frequencies of all sinusoids comprising a class a phase,/>Representing the variance of all frequencies of all sinusoids comprising phase b >Represents a tangent function,/>Cluster distance values representing class a and class b phases.
4. The signal distortion processing method of a multimode photoelectric hybrid communication cable according to claim 1, wherein the clustering distance value according to any two kinds of phases is all phase clusters of all kinds of phases, and the method comprises the following specific steps:
And obtaining the optimal cluster quantity of all the class phases of the multimode optical signal by using an elbow method, inputting the optimal cluster quantity into k-means, and carrying out k-means clustering on all the phases of the multimode optical signal to obtain all the phase clusters of all the class phases in the multimode optical signal.
5. The signal distortion processing method of a multimode photoelectric hybrid communication cable according to claim 1, wherein the step of obtaining the phase clusters of the plurality of main optical signal components according to all phase clusters of all class phases comprises the following specific steps:
Obtaining the average main body component weight of each phase cluster in all phase clusters of all phase classes, presetting a main body component weight threshold, and removing the phase clusters with the average main body component weight smaller than the main body component weight threshold to obtain the phase clusters of a plurality of main body optical signal components.
6. The signal distortion processing method of a multimode photoelectric hybrid communication cable according to claim 1, wherein the objective function of the decomposition result of each iteration decomposition of the electric signal is obtained according to the phase clusters of all the main optical signal components, the proposed base line signals and the offset eigenvalues of each proposed modulation signal, and the specific steps are as follows:
Acquiring all current intensities of the drawn baseline signal, taking the current intensities with the same value as one type of current intensity, and obtaining the distribution probability of each type of current intensity of the drawn baseline signal;
Acquiring an average phase value in each cluster in the phase clusters of each main optical signal component;
arranging the phase clusters of all main optical signal components of the multimode optical signal according to the sequence from the large average phase value to the small average phase value to obtain a phase cluster sequence;
All the planned modulation signals of the decomposition result of each iterative decomposition of the electric signal are arranged according to the sequence from the big to the small of the offset characteristic value, and a planned modulation signal sequence is obtained;
Combining each phase cluster in the phase cluster sequence with a planned modulation signal at the same position in the planned modulation signal sequence to obtain a plurality of sequence groups;
wherein z represents the formulated baseline signal, s represents the s-th class current intensity in the formulated baseline signal, Representing the number of classes of amperages in developing a baseline signal,/>Representing the probability of the distribution of class s current intensities in the formulated baseline signal,/>Representing the average of the distribution probabilities of all class current intensities in the formulated baseline signal,/>Standard deviation representing the probability of distribution of all class current intensities in the proposed baseline signal; v represents the v-th sequence group, A represents the total number of proposed modulation signals,/>Average phase of phase clusters representing the v-th sequence group,/>An offset eigenvalue of the proposed modulation signal representing the v-th sequence set; /(I)And an objective function output value representing the decomposition result of each iteration of the electrical signal.
7. The signal distortion processing method of a multimode photoelectric hybrid communication cable according to claim 1, wherein the objective function according to the decomposition result of each iterative decomposition of the electric signal obtains all modulation components, comprising the specific steps of:
Obtaining an objective function output value of a decomposition result when the electric signal is decomposed in each iteration, and obtaining a primary decomposition result with the minimum objective function output value from the decomposition results of all the iterative decomposition as an optimal ICA decomposition result of the electric signal;
all the proposed modulation signals in the optimal ICA decomposition result are taken as all the modulation components.
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