CN114268974B - Communication quality optimization method integrating 230M wireless communication module and power carrier - Google Patents
Communication quality optimization method integrating 230M wireless communication module and power carrier Download PDFInfo
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Abstract
The application discloses a communication quality optimization method for fusing 230M and power carriers, which comprises the steps of calculating prior error signals when the power carriers are input according to input signals; designing a correction function to correct the prior error signal and calculating the weight w at the moment i+1 The method comprises the steps of carrying out a first treatment on the surface of the According to the weight w i+1 Calculating a posterior error signal when the power carrier is input, correcting the posterior error signal through a correction function, and updating the weight; establishing constraint criteria based on the updated weight values, and compensating stable direct current interference; the application corrects the prior error signal when the power carrier is input and the posterior error signal when the power carrier is input by designing the correction function, reduces the influence of pulse electromagnetic interference on 230M wireless module communication, improves the communication quality, and compensates the stable direct current interference problem by establishing a constraint criterion.
Description
Technical Field
The application relates to the technical field of communication quality optimization, in particular to a communication quality optimization method integrating a 230M wireless communication module and a power carrier.
Background
The power carrier communication is used as a communication means which is special and indispensable for the power system, is a guarantee of economic dispatching and stable and reliable operation of the power system, and utilizes the free power carrier of the power system as a communication medium without additional cost, but has unstable factors such as harmonic interference and the like, thereby leading to poor communication quality.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present application has been made in view of the above-described problems occurring in the prior art.
In order to solve the technical problems, the application provides the following technical scheme: the method comprises the steps of calculating a priori error signal when a power carrier is input according to an input signal; designing a correction function to correct the prior error signal and calculating the weight w at the moment i+1 The method comprises the steps of carrying out a first treatment on the surface of the According to the weight w i+1 Calculating a posterior error signal when the power carrier is input, correcting the posterior error signal through the correction function, and updating the weight; and establishing constraint criteria based on the updated weight values to compensate the stable direct current interference.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: the input signal comprises 230M wireless communication module input signal u i And power line carrier input signal n i ；
wherein ,is the input signal.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: the a priori error signal includes a signal that,
wherein ,e is the prior error signal when the power carrier is input i Is a priori error signal without input power carrier, T is transpose, w i Is an initial weight vector matrix.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: the correction function includes a function of the correction,
wherein θ () is the correction function, δ is an error control factor, and when |e i When the delta is smaller than or equal to the delta, no impulse noise exists.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: the calculation of the weight value includes the steps of,
where μ is the step size.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: the posterior error signal comprises a signal representative of the error of the sample,
wherein ,e is a posterior error signal when the power carrier is input p,i Is a posterior error signal when no power carrier is input.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: the updating of the weight value includes the steps of,
wherein ,w′i+1 Z is the updated weight i In order to deviate the amount of the superposition,for the power carrier spectrum sequence g i Is a function of the variance of (a),compensating for the incoming 230M wireless spectrum variance.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: the constraint criteria include that the constraint criteria include,
wherein ,for input signal +.>K is the kth signal and E is the desired operator.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: comprising the steps of (a) a step of,
wherein ,mi For a white gaussian sequence, ρ is the 230M radio spectrum to power carrier spectrum variance ratio.
As a preferred scheme of the communication quality optimization method for fusing 230M wireless communication modules and power carriers, the application comprises the following steps: also included is estimating 230M radio spectrum variance compensation:
wherein ,compensating for the estimated 230M radio spectrum variance.
The application has the beneficial effects that: the application corrects the prior error signal when the power carrier is input and the posterior error signal when the power carrier is input by designing the correction function, reduces the influence of pulse electromagnetic interference on 230M wireless communication module communication, improves the communication quality, and compensates the stable direct current interference problem by establishing a constraint criterion.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a flow chart of a communication quality optimization method for merging 230M wireless communication modules and power carriers according to a first embodiment of the present application.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present application can be understood in detail, a more particular description of the application, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the application. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present application have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the application. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present application, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, in a first embodiment of the present application, a method for optimizing communication quality by fusing 230M wireless communication modules and power carriers is provided, including:
s1: and calculating an a priori error signal when the power carrier is input according to the input signal.
The input signal comprises 230M wireless communication module input signal u i And power line carrier input signal n i ；
wherein ,is an input signal.
Calculating an a priori error signal when the power carrier is input according to the input signal:
v i ＝g i +η i
wherein ,di 230 is not optimizedM wireless communication module signal, w o As the initial value of the weight vector matrix, v i G is the actual 230M wireless communication module interference signal i Is a white Gaussian sequence, eta i Is impulse noise;e is a priori error signal when inputting power carrier i Is a priori error signal without input power carrier, T is transpose, w i Is an initial weight vector matrix.
S2: designing a correction function to correct the prior error signal and calculating the weight w at the moment i+1 。
Since the 230M wireless communication module input signal contains impulse interference, when impulse interference occurs, the value of a priori error suddenly increases, the estimation of the weight vector matrix is destroyed by impulse interference, and a larger deviation is caused, so as to solve the above problem, the embodiment introduces a correction function θ ():
wherein θ () is a correction function, δ is an error control factor for suppressing a large error caused by occurrence of impulse interference, and is represented by |e i When the delta is smaller than or equal to the delta, no impulse noise exists.
Further, calculate the weight w i+1 ：
Where μ is the step size.
S3: according to the weight w i+1 And calculating a posterior error signal when the power carrier is input, correcting the posterior error signal through a correction function, and updating the weight.
Calculating a posterior error signal:
wherein ,e is a posterior error signal when the power carrier is input p,i Is a posterior error signal when no power carrier is input.
Correcting the posterior error signal through a correction function, namely:
further, the weights are updated by:
wherein ,w′i+1 Z is the updated weight i In order to deviate the amount of the superposition,for the power carrier spectrum sequence g i Is a function of the variance of (a),compensating for the incoming 230M wireless spectrum variance.
As a result of:
wherein ,for the white Gaussian sequence m i Is a square of (2)And E is the desired operator.
And since the error fluctuation is quite large when impulse interference occurs, the estimation of the input noise variance is not considered impulse noise, and thus, the input 230M wireless spectrum variance is compensatedThe method comprises the following steps:
wherein ,mi For a white gaussian sequence, ρ is the 230M radio spectrum to power carrier spectrum variance ratio.
Since the input 230M radio spectrum variance compensation is less accurate, it needs to be further estimated, where M i =0 means that there is no impulse interference in the system, so the estimated 230M radio spectrum variance compensates for:
wherein ,compensating for the estimated 230M radio spectrum variance.
S4: and establishing constraint criteria based on the updated weight values to compensate the stable direct current interference.
Establishing constraint criteria
wherein ,for input signal +.>K is the kth signal and E is the desired operator.
Example 2
In order to verify and explain the technical effects adopted in the method, the embodiment selects the traditional technical scheme and adopts the method to carry out comparison test, and the test results are compared by means of scientific demonstration so as to verify the true effects of the method.
In order to verify that the method has higher communication quality compared with the traditional technical scheme, in the embodiment, the traditional technical scheme and the method are adopted to respectively carry out communication optimization and comparison on different areas of a certain power grid, the communication quality is measured through the error rate, the environment temperature is 28-30 ℃, and the result is shown in table 1.
Table 1: and (5) optimizing the result of communication.
| The communication distance is 100 meters | Communication distance is 300 m | The communication distance is 500 meters | |
| Conventional technical proposal | 0 | <10 -3 | <10 -2 |
| The method | 0 | 0 | <10 -5 |
As can be seen from table 1, compared with the conventional technical scheme, the method has a lower error rate, which indicates that better communication quality is obtained.
It should be appreciated that embodiments of the application may be implemented or realized by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer readable storage medium configured with a computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, in accordance with the methods and drawings described in the specific embodiments. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Furthermore, the operations of the processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes (or variations and/or combinations thereof) described herein may be performed under control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications), by hardware, or combinations thereof, collectively executing on one or more processors. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable computing platform, including, but not limited to, a personal computer, mini-computer, mainframe, workstation, network or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and so forth. Aspects of the application may be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and/or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, which when read by a computer, is operable to configure and operate the computer to perform the processes described herein. Further, the machine readable code, or portions thereof, may be transmitted over a wired or wireless network. When such media includes instructions or programs that, in conjunction with a microprocessor or other data processor, implement the steps described above, the application described herein includes these and other different types of non-transitory computer-readable storage media. The application also includes the computer itself when programmed according to the methods and techniques of the present application. The computer program can be applied to the input data to perform the functions described herein, thereby converting the input data to generate output data that is stored to the non-volatile memory. The output information may also be applied to one or more output devices such as a display. In a preferred embodiment of the application, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects produced on a display.
As used in this disclosure, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, the components may be, but are not limited to: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Furthermore, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present application may be modified or substituted without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered in the scope of the claims of the present application.
Claims (1)
1. A communication quality optimization method integrating a 230M wireless communication module and a power carrier is characterized in that: comprising the steps of (a) a step of,
calculating a priori error signal when the power carrier is input according to the input signal;
designing a correction function to correct the prior error signal and calculating the weight w at the moment i+1 ；
According to the weight w i+1 Calculating a posterior error signal when the power carrier is input, correcting the posterior error signal through the correction function, and updating the weight;
establishing constraint criteria based on the updated weight values, and compensating stable direct current interference;
the input signal comprises 230M wireless communication module input signal u i And power line carrier input signal n i ；
wherein ,is the input signal;
the a priori error signal includes a signal that,
wherein ,e is the prior error signal when the power carrier is input i Is a priori error signal without input power carrier, T is transpose, w i The initial weight vector matrix is adopted;
the correction function includes a function of the correction,
wherein θ () is the correction function, δ is an error control factor, and when |e i When the delta is smaller than or equal to the delta, no impulse noise exists;
the calculation of the weight value includes the steps of,
wherein μ is the step size;
the posterior error signal comprises a signal representative of the error of the sample,
wherein ,e is a posterior error signal when the power carrier is input p,i A posterior error signal when no power carrier is input;
the updating of the weight value includes the steps of,
wherein ,w′i+1 Z is the updated weight i In order to deviate the amount of the superposition,for the power carrier spectrum sequence g i Variance of->Compensating for the input 230M wireless spectrum variance;
the constraint criteria include that the constraint criteria include,
wherein ,for input signal +.>K is the kth signal and E is the desired operator;
also included is a method of manufacturing a semiconductor device,
wherein ,mi For a white Gaussian sequence, rho is the spectrum variance ratio of 230M wireless spectrum and power carrier;
also included is a method of manufacturing a semiconductor device,
estimate 230M radio spectrum variance compensation:
wherein ,compensating for the estimated 230M radio spectrum variance.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2448453A1 (en) * | 2001-05-25 | 2002-11-28 | Diseno De Sistemas En Silicio, S.A. | Communication optimisation method for a multi-user ofdm digital transmission system using the electrical network |
| CN110190917A (en) * | 2019-05-28 | 2019-08-30 | 海南电网有限责任公司 | A kind of frequency spectrum cavity-pocket cognitive method, device and the equipment of LTE230MHz electric power wireless private network |
| KR20210123672A (en) * | 2020-04-03 | 2021-10-14 | 한국전력공사 | Frequency estimation method and device based on analytic compensation on harmonics effects in power system |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2448453A1 (en) * | 2001-05-25 | 2002-11-28 | Diseno De Sistemas En Silicio, S.A. | Communication optimisation method for a multi-user ofdm digital transmission system using the electrical network |
| CN110190917A (en) * | 2019-05-28 | 2019-08-30 | 海南电网有限责任公司 | A kind of frequency spectrum cavity-pocket cognitive method, device and the equipment of LTE230MHz electric power wireless private network |
| KR20210123672A (en) * | 2020-04-03 | 2021-10-14 | 한국전력공사 | Frequency estimation method and device based on analytic compensation on harmonics effects in power system |
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