CN110535492A - A kind of PLC signal filtering method and system using application of mixture theory - Google Patents
A kind of PLC signal filtering method and system using application of mixture theory Download PDFInfo
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- CN110535492A CN110535492A CN201910819138.7A CN201910819138A CN110535492A CN 110535492 A CN110535492 A CN 110535492A CN 201910819138 A CN201910819138 A CN 201910819138A CN 110535492 A CN110535492 A CN 110535492A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/54—Systems for transmission via power distribution lines
- H04B3/56—Circuits for coupling, blocking, or by-passing of signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B2203/00—Indexing scheme relating to line transmission systems
- H04B2203/54—Aspects of powerline communications not already covered by H04B3/54 and its subgroups
- H04B2203/5462—Systems for power line communications
- H04B2203/5491—Systems for power line communications using filtering and bypassing
Abstract
The embodiment of the present invention discloses a kind of PLC signal filtering method and system using application of mixture theory, which comprises step 1, inputs the PLC signal sequence S of actual measurement；Step 2, the PLC signal sequence S is carried out filtering out noise processed according to application of mixture theory, the signal sequence after filtering out noise is divided into two parts: SPLCAnd SIM；Specifically,SPLCFor PLC modulated signal；SIMFor the impulsive noise in PLC channel.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；For hybrid matrix.
Description
Technical field
The present invention relates to power domain more particularly to a kind of PLC signal filtering method and systems.
Background technique
The advantages that power line communication compares various cable communicating technologies, is not necessarily to rewiring, is easy to networking has wide
Application prospect.Power line communication technology be divided into narrowband power line communication (Narrowband over power line, NPL) and
Broadband power line communication (Broadband over power line, BPL)；Narrowband power line communication refers to limited bandwidth in 3k
The power-line carrier communication of~500kHz；Power line communication technology include European CENELEC prescribed bandwidth (3~
148.5kHz), the prescribed bandwidth (9~490kHz) of US Federal Communication Committee (FCC), Japanese wireless industrial and commerce and trade joint
The prescribed bandwidth (9~450kHz) of meeting (Association of Radio Industries and Businesses, ARIB),
With the prescribed bandwidth (3~500kHz) of China.Narrowband power line communication technology mostly uses single carrier modulation technique, such as PSK technology,
The technologies such as DSSS technology and linear frequency modulation Chirp, traffic rate are less than 1Mbits/s；Power-line broadband communication technology refers to the band tolerance
Be scheduled between 1.6~30MHz, traffic rate is usually in the power-line carrier communication of 1Mbps or more, use using OFDM as core
A variety of spread spectrum technics of the heart.
Although electric line communication system has a wide range of applications, and technology relative maturity, in electric line communication system
A large amount of branch and electrical equipment, can generate a large amount of noise in power line channel；And wherein random impulsive noise has very
Big randomness, noise intensity is high, does great damage to electric line communication system, therefore, for the suppression of random impulsive noise
Technology processed is always the emphasis of domestic and foreign scholars' research；And noise model and Gaussian Profile is not met.Therefore, traditional needle
Power-line carrier communication system is no longer desirable for the communication system of Gaussian noise design, it is necessary to study corresponding noise suppressed skill
Art reduces the bit error rate to improve electric line communication system signal-to-noise ratio, guarantees electric line communication system quality.In practical applications,
Some simple nonlinear technologies are often applied to eliminate power line channel noise, such as Clipping, Blanking and
Clipping/Blanking technology, but these research methods all must under certain state of signal-to-noise could works fine,
The elimination of impact noise is only only accounted for, in a power line communication system, certain commercial power line transmitters are characterized in low hair
Power is penetrated, in some special circumstances, transmission power can possibly even be lower than 18w, and therefore, in certain special circumstances, signal will
It is submerged in much noise, leads to electric line communication system low signal-to-noise ratio situation.
With the application of non-linear electric appliance and universal, ambient noise shows more apparent in mesolow transmission and distribution networks
Non-stationary and non-Gaussian feature, common low-pass filter are difficult to reach ideal in non-stationary and non-Gaussian noise environment
Filter effect is difficult to filter out non-stationary non-Gaussian noise, has seriously affected the performance of plc communication system.
Summary of the invention
The object of the present invention is to provide a kind of PLC signal filtering method and system using application of mixture theory, the side proposed
The difference of PLC modulated signal, impulsive noise and ambient noise in signal hybrid representation field is utilized in method, passes through Mixture matrix
Distinguish PLC modulated signal, impulsive noise and ambient noise.The method proposed has preferable noise filtering performance, calculates
It is very simple.
To achieve the above object, the present invention provides following schemes:
A kind of PLC signal filtering method using application of mixture theory, comprising:
Step 1, the PLC signal sequence S of actual measurement is inputted；
Step 2, the PLC signal sequence S is carried out filtering out noise processed according to application of mixture theory, the signal after filtering out noise
Sequence is divided into two parts: SPLCAnd SIM；Specifically,SPLCFor PLC modulated signal；SIMFor
Impulsive noise in PLC channel.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；For mixed moment
Battle array.
A kind of PLC signal filtering system using application of mixture theory, comprising:
Module is obtained, the PLC signal sequence S of actual measurement is inputted；
Filter module carries out filtering out noise processed, after filtering out noise according to application of mixture theory to the PLC signal sequence S
Signal sequence is divided into two parts: SPLCAnd SIM；Specifically,SPLCFor PLC modulated signal；
SIMFor the impulsive noise in PLC channel.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；It is mixed
Close matrix.
The specific embodiment provided according to the present invention, the invention discloses following technical effects:
Although electric line communication system has a wide range of applications, and technology relative maturity, in electric line communication system
A large amount of branch and electrical equipment, can generate a large amount of noise in power line channel；With the application of non-linear electric appliance and general
And ambient noise shows more apparent non-stationary and non-Gaussian feature, common low pass in mesolow transmission and distribution networks
Filter is difficult to reach ideal filter effect in non-stationary and non-Gaussian noise environment, is difficult to filter out non-stationary non-gaussian and make an uproar
Sound has seriously affected the performance of plc communication system.
The object of the present invention is to provide a kind of PLC signal filtering method and system using application of mixture theory, the side proposed
The difference of PLC modulated signal, impulsive noise and ambient noise in signal hybrid representation field is utilized in method, passes through Mixture matrix
Distinguish PLC modulated signal, impulsive noise and ambient noise.The method proposed has preferable noise filtering performance, calculates
It is very simple.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described.It is clear that drawings in the following description are only some embodiments of the invention,
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings
Other attached drawings.
Fig. 1 is method flow schematic diagram of the invention；
Fig. 2 is system structure diagram of the invention；
Fig. 3 is the flow diagram of present invention specific implementation case.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.Obviously, the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
A kind of flow diagram of the PLC signal filtering method using application of mixture theory of Fig. 1
Fig. 1 is a kind of flow diagram of the PLC signal filtering method using application of mixture theory of the present invention.As shown in Figure 1, institute
A kind of PLC signal filtering method using application of mixture theory for stating specifically includes the following steps:
Step 1, the PLC signal sequence S of actual measurement is inputted；
Step 2, the PLC signal sequence S is carried out filtering out noise processed according to application of mixture theory, the signal after filtering out noise
Sequence is divided into two parts: SPLCAnd SIM；Specifically,SPLCFor PLC modulated signal；SIM
For the impulsive noise in PLC channel.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；For mixing
Matrix.
Before the step 2, the method also includes:
Step 3, the optimum prediction vector m is soughtOPT, correction matrix B, forward direction matrix L and hybrid matrix
The step 3 includes:
Step 301, phase transition matrix P is sought, specifically:
P=diag [p1,p2,…,pN]
Wherein:
N: the length of the signal sequence S
I: imaginary unit
tn: the aliasing factor, the integer of random distribution in [1, N] range
Step 302, delay matrix is sought, specifically:
D=IFFT [P]
Wherein:
IFFT [*]: inverse Fourier transform
Step 303, the hybrid matrix is soughtSpecifically:
Wherein:
D-1: the inverse matrix of matrix D
Step 304, the correction matrix B is sought, specifically:
Wherein:
D-1: the inverse matrix of matrix D
I: unit matrix
Step 305, the forward direction matrix L is sought, specifically:
L=B-1
Wherein:
B-1: the inverse matrix of matrix B
Step 306, the optimum prediction vector m is soughtOPT, specifically:
Step 1: initialization, specifically:
m1=S: predictive vector
K=1: iteration control parameter；
Step 2: update, specifically:
Step 3: iteration ends, specially
Iteration control parameter k adds 1, repeats second step, until the difference of adjacent iteration result twice is less than 0.001
Only, k=K, m at this timeOPT=mK。
A kind of structure of PLC signal filtering system using application of mixture theory of Fig. 2 is intended to
Fig. 2 is a kind of structural schematic diagram of the PLC signal filtering system using application of mixture theory of the present invention.As shown in Fig. 2, institute
Stating a kind of using the PLC signal filtering system of application of mixture theory includes with flowering structure:
Module 401 is obtained, the PLC signal sequence S of actual measurement is inputted；
Filter module 402 carries out filtering out noise processed, after filtering out noise according to application of mixture theory to the PLC signal sequence S
Signal sequence be divided into two parts: SPLCAnd SIM；Specifically,SPLCIt modulates and believes for PLC
Number；SIMFor the impulsive noise in PLC channel.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；
For hybrid matrix.
The system, further includes:
Computing module 403 seeks the optimum prediction vector mOPT, correction matrix B, forward direction matrix L and hybrid matrix
The computing module 403, further includes the following units, specifically:
Converting unit 4031 seeks phase transition matrix P, specifically:
P=diag [p1,p2,…,pN]
Wherein:
N: the length of the signal sequence S
I: imaginary unit
tn: the aliasing factor, the integer of random distribution in [1, N] range
Delay cell 4032 seeks delay matrix, specifically:
D=IFFT [P]
Wherein:
IFFT [*]: inverse Fourier transform
First computing unit 4033, seeks the hybrid matrixSpecifically:
Wherein:
D-1: the inverse matrix of matrix D
Second computing unit 4034 seeks the correction matrix B, specifically:
Wherein:
D-1: the inverse matrix of matrix D
I: unit matrix
Third computing unit 4035 seeks the forward direction matrix L, specifically:
L=B-1
Wherein:
B-1: the inverse matrix iteration unit 4036 of matrix B seeks the optimum prediction vector mOPT, specifically:
Step 1: initialization, specifically:
m1=S: predictive vector
K=1: iteration control parameter；
Step 2: update, specifically:
Step 3: iteration ends, specially
Iteration control parameter k adds 1, repeats second step, until the difference of adjacent iteration result twice is less than 0.001
Only, k=K, m at this timeOPT=mK。
A specific implementation case is provided below, further illustrates the solution of the present invention
Fig. 3 is the flow diagram of present invention specific implementation case.As shown in figure 3, specifically includes the following steps:
1. inputting the PLC signal sequence of actual measurement
S=[s1,s2,…,sN-1,sN]
Wherein:
S: the PLC signal data sequence of actual measurement, length N
si, i=1,2 ..., N: serial number i actual measurement PLC signal
2. seeking phase transition matrix
P=diag [p1,p2,…,pN]
Wherein:
N: the length of the signal sequence S
I: imaginary unit
tn: the aliasing factor, the integer of random distribution in [1, N] range
3. seeking delay matrix
D=IFFT [P]
Wherein:
IFFT [*]: inverse Fourier transform
4. seeking hybrid matrix
Wherein:
D-1: the inverse matrix of matrix D
5. seeking correction matrix
Wherein:
D-1: the inverse matrix of matrix D
I: unit matrix
6. to matrix before seeking
L=B-1
Wherein:
B-1: the inverse matrix of matrix B
7. seeking optimum prediction vector
Step 1: initialization, specifically:
m1=S: predictive vector
K=1: iteration control parameter；
Step 2: update, specifically:
Step 3: iteration ends, specially
Iteration control parameter k adds 1, repeats second step, until the difference of adjacent iteration result twice is less than 0.001
Only, k=K, m at this timeOPT=mK。
8. filtering
The PLC signal sequence S is carried out filtering out noise processed according to application of mixture theory, the signal sequence after filtering out noise point
For two parts: SPLAnd SIM；Specifically,SPLCFor PLC modulated signal；SIMFor PLC letter
Impulsive noise in road.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；For hybrid matrix.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so description is relatively simple, related place is referring to method part illustration
.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (5)
1. a kind of PLC signal filtering method using application of mixture theory characterized by comprising
Step 1, the PLC signal sequence S of actual measurement is inputted；
Step 2, the PLC signal sequence S is carried out filtering out noise processed according to application of mixture theory, the signal sequence after filtering out noise
It is divided into two parts: SPLCAnd SIM；Specifically,SPLCFor PLC modulated signal；SIMFor PLC
Impulsive noise in channel.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；For hybrid matrix.
2. the method according to claim 1, wherein before the step 2, the method also includes:
Step 3, the optimum prediction vector m is soughtOPT, correction matrix B, forward direction matrix L and hybrid matrix
3. according to the method described in claim 2, it is characterized in that, the step 3 includes:
Step 301, phase transition matrix P is sought, specifically:
P=diag [p1,p2,…,pN]
Wherein:
N: the length of the signal sequence S
I: imaginary unit
tn: the aliasing factor, the integer of random distribution in [1, N] range
Step 302, delay matrix is sought, specifically:
D=IFFT [P]
Wherein:
IFFT [*]: inverse Fourier transform
Step 303, the hybrid matrix is soughtSpecifically:
Wherein:
D-1: the inverse matrix of matrix D
Step 304, the correction matrix B is sought, specifically:
Wherein:
D-1: the inverse matrix of matrix D
I: unit matrix
Step 305, the forward direction matrix L is sought, specifically:
L=B-1
Wherein:
B-1: the inverse matrix of matrix B
Step 306, the optimum prediction vector m is soughtOPT, specifically:
Step 1: initialization, specifically:
m1=S: predictive vector
K=1: iteration control parameter；
Step 2: update, specifically:
Step 3: iteration ends, specially
Iteration control parameter k adds 1, repeats second step, until adjacent iteration result twice difference less than 0.001 until,
K=K at this time, mOPT=mK。
4. a kind of PLC signal filtering system using application of mixture theory characterized by comprising
Module is obtained, the PLC signal sequence S of actual measurement is inputted；
Filter module carries out filtering out noise processed, the signal after filtering out noise according to application of mixture theory to the PLC signal sequence S
Sequence is divided into two parts: SPLCAnd SIM；Specifically,SPLCFor PLC modulated signal；SIMFor
Impulsive noise in PLC channel.Wherein, mOPTFor optimum prediction vector；B is correction matrix；L is preceding to matrix；For mixed moment
Battle array.
5. system according to claim 4, which is characterized in that further include:
Computing module seeks the optimum prediction vector mOPT, correction matrix B, forward direction matrix L and hybrid matrix
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050052988A1 (en) * | 2003-09-08 | 2005-03-10 | Tsatsanis Michail Konstantinos | Decision feedback transceiver for multichannel communication system |
| CN106332170A (en) * | 2016-08-24 | 2017-01-11 | 国网重庆市电力公司客户服务中心 | Broadband carrier communication performance detecting system |
| CN109257069A (en) * | 2018-09-11 | 2019-01-22 | 广东石油化工学院 | Electric-power wire communication signal adaptive filter method |
-
2019
- 2019-08-31 CN CN201910819138.7A patent/CN110535492A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050052988A1 (en) * | 2003-09-08 | 2005-03-10 | Tsatsanis Michail Konstantinos | Decision feedback transceiver for multichannel communication system |
| CN106332170A (en) * | 2016-08-24 | 2017-01-11 | 国网重庆市电力公司客户服务中心 | Broadband carrier communication performance detecting system |
| CN109257069A (en) * | 2018-09-11 | 2019-01-22 | 广东石油化工学院 | Electric-power wire communication signal adaptive filter method |
Non-Patent Citations (2)
| Title |
|---|
| ZHAI MING-YUE等: ""Adaptive resource allocation for multi-user multi-server power-line"", 《J. CENT. SOUTH UNIV. TECHNOL》 * |
| 翟明岳: ""EMD-TFPF算法的电力线通信噪声消除技术研究"", 《电力系统保护与控制》 * |
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Application publication date: 20191203 |
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