CN109194369A - A kind of electric-power wire communication signal self-adapting reconstruction method - Google Patents

A kind of electric-power wire communication signal self-adapting reconstruction method Download PDF

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CN109194369A
CN109194369A CN201811055368.2A CN201811055368A CN109194369A CN 109194369 A CN109194369 A CN 109194369A CN 201811055368 A CN201811055368 A CN 201811055368A CN 109194369 A CN109194369 A CN 109194369A
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matrix
electric
wire communication
signal
power wire
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翟明岳
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Guangdong University of Petrochemical Technology
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Guangdong University of Petrochemical Technology
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines
    • H04B3/542Systems for transmission via power distribution lines the information being in digital form

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)

Abstract

The present invention provides a kind of electric-power wire communication signal self-adapting reconstruction method, can reconstruct the electric-power wire communication signal sequence for generating not missing data.The described method includes: acquisition electric-power wire communication signal sequence, is converted into signal matrix;According to the signal matrix being converted to, transformation operator matrix is constructed;Construct calculation matrix;Determine reconstruction weights, according to the calculation matrix of obtained transformation operator matrix, reconstruction weights and building, iteration updates signal matrix, until current iteration number is equal to the length of electric-power wire communication signal sequence;Currently available signal matrix is converted, the electric-power wire communication signal sequence of not missing data is generated.The present invention relates to the communications fields.

Description

A kind of electric-power wire communication signal self-adapting reconstruction method
Technical field
The present invention relates to the communications fields, particularly relate to a kind of electric-power wire communication signal self-adapting reconstruction method.
Background technique
Power line communication (Power Line Communications, PLC) compares various cable communicating technologies, there is nothing It needs rewiring, be easy to the advantages that networking, have broad application prospects.Power line communication technology is 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 the power-line carrier communication of 3k~500kHz.Including Europe The prescribed bandwidth (3~148.5kHz) of CENELEC, the prescribed bandwidth (9~490kHz) of US Federal Communication Committee (FCC), Japanese wireless industrial and commerce and trade federation (Association of Radio Industries and Businesses, ARIB) Prescribed bandwidth (9~450kHz), and China prescribed bandwidth (3~500kHz).Narrowband power line communication technology mostly uses list Carrier modulation technique, such as PSK technology, the technologies such as DSSS technology and linear frequency modulation Chirp, traffic rate is less than 1Mbits/s.It is wide With power line communication technology refer to limited bandwidth between 1.6~30MHz, traffic rate usually 1Mbps or more power line carry Communication techniques use a variety of spread spectrum technics with orthogonal frequency division multiplexing (OFDM) for core.
Although electric line communication system has a wide range of applications, and technology relative maturity, communicated relative to optical fiber etc. System, PLC signal are transmitted by mesolow electric power networks, and structure is complicated for electric power networks, and branch is numerous, especially power network Network is not to set for transmission high-frequency communication signal, many and diverse electrical equipment meeting severe jamming PLC signal in electric power networks, can not It causes PLC signal transmission errors with avoiding, will cause more serious shortage of data.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of electric-power wire communication signal self-adapting reconstruction methods, existing to solve There is PLC signal present in technology to be transmitted by mesolow electric power networks, there are problems that shortage of data.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of electric-power wire communication signal self-adapting reconstruction method, Include:
Electric-power wire communication signal sequence is acquired, signal matrix is converted into;
According to the signal matrix being converted to, transformation operator matrix is constructed;
Construct calculation matrix;
Determine reconstruction weights, according to the calculation matrix of obtained transformation operator matrix, reconstruction weights and building, iteration updates Signal matrix, until current iteration number is equal to the length of electric-power wire communication signal sequence;
Currently available signal matrix is converted, the electric-power wire communication signal sequence of not missing data is generated.
Further, the acquisition electric-power wire communication signal sequence, being converted into signal matrix includes:
Acquire electric-power wire communication signal sequence pori=[P1,P2,…,PN], wherein N is electric-power wire communication signal sequence Length;
According to the precedence of electric-power wire communication signal sequence, electric-power wire communication signal sequence is divided into NRSection, every section contains There is NCA data,Wherein, symbolIt is rounded in expression;
If N < NR×NC, then by the insufficient part zero padding of final stage;
It is the form of matrix by the data permutation after segmentation, one piece of data is a line, obtains signal matrix
Further, the signal matrix that the basis is converted to, building transformation operator matrix include:
By signal matrixBe converted to 2D signal;
Determine the signal transformation operator of 2D signal;
It translates the signals into operator and is converted to matrix form, obtain transformation operator matrix.
Further, the 2D signal obtained after conversion are as follows:
nr=1,2 ..., NR
nc=1,2 ..., NC
Wherein,Indicate 2D signal,Indicate signal matrixN-thrRow, n-thcColumn element.
Further, signal transformation operator indicates are as follows:
Wherein,Indicate signal transformation operator,Indicate parameter;ForDomain In weighting function, independent variable is ForWeighting function in domain, independent variable areSubscript i indicates empty Number unit.
Further, transformation operator matrix is expressed as:
Wherein, D indicates transformation operator matrix;FormulaIt indicates in transformation operator matrix D, N-thrRow, n-thcThe element of column isD is NR×NCTie up matrix.
Further, the form of the calculation matrix of building are as follows:
Wherein, R indicates calculation matrix;I is unit matrix;0 is null matrix.
Further, the determining reconstruction weights, according to the measurement of obtained transformation operator matrix, reconstruction weights and building Matrix, iteration update signal matrix, until the length that current iteration number is equal to electric-power wire communication signal sequence includes:
Signal matrix is updated by signal matrix iterative formula iteration, until current iteration number is believed equal to power line communication Iteration is terminated when the length N of number sequence, obtains the signal matrix of not missing dataWherein, signal matrix iteration Formula indicates are as follows:
Wherein,Indicate the signal matrix that kth time iteration obtains;Indicate the signal matrix that -1 iteration of kth obtains;α Indicate reconstruction weights;Indicate threshold operator;It indicates to matrixIn all elements carry out threshold operation;xijRepresenting matrixThe i-th row, jth column element;σmaxIt indicatesThe maximum value of middle all elements absolute value; σminIt indicatesThe minimum value of middle all elements absolute value.
Further, described to convert currently available signal matrix, the power line for generating not missing data is logical Believe that signal sequence includes:
The matrix P that will be obtainedrecThe first row data as first segment, the second row data as second segment, and so on, Last line data connect these sections as final stage in sequence, and intercept one number of N number of data composition of front According to sequence, this data sequence is exactly the electric-power wire communication signal sequence of not missing data.
The advantageous effects of the above technical solutions of the present invention are as follows:
In above scheme, electric-power wire communication signal sequence is acquired, signal matrix is converted into;According to the letter being converted to Number matrix constructs transformation operator matrix;Construct calculation matrix;It determines reconstruction weights, according to obtained transformation operator matrix, reconstructs The calculation matrix of weight and building, iteration update signal matrix, until current iteration number is equal to electric-power wire communication signal sequence Length;Currently available signal matrix is converted, the electric-power wire communication signal sequence of not missing data is generated, thus Electric-power wire communication signal sequence is reconstructed, electric-power wire communication signal is solved and is transmitted by mesolow electric power networks, there are data The problem of missing.
Detailed description of the invention
Fig. 1 is the flow diagram of electric-power wire communication signal self-adapting reconstruction method provided in an embodiment of the present invention;
Fig. 2 is the detailed process schematic diagram of electric-power wire communication signal self-adapting reconstruction method provided in an embodiment of the present invention;
Fig. 3 is data sectional provided in an embodiment of the present invention and matrix arrangement schematic diagram.
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool Body embodiment is described in detail.
The present invention is transmitted for the problem that existing PLC signal by mesolow electric power networks, there are shortage of data, A kind of electric-power wire communication signal self-adapting reconstruction method is provided.
As shown in Figure 1, electric-power wire communication signal self-adapting reconstruction method provided in an embodiment of the present invention, comprising:
S101 acquires electric-power wire communication signal sequence, is converted into signal matrix;
S102 constructs transformation operator matrix according to the signal matrix being converted to;
S103 constructs calculation matrix;
S104 determines reconstruction weights, according to the calculation matrix of obtained transformation operator matrix, reconstruction weights and building, repeatedly In generation, updates signal matrix, until current iteration number is equal to the length of electric-power wire communication signal sequence;
S105 converts currently available signal matrix, generates the electric-power wire communication signal sequence of not missing data Column.
Electric-power wire communication signal self-adapting reconstruction method described in the embodiment of the present invention acquires electric-power wire communication signal sequence Column, are converted into signal matrix;According to the signal matrix being converted to, transformation operator matrix is constructed;Construct calculation matrix;Really Determine reconstruction weights, according to the calculation matrix of obtained transformation operator matrix, reconstruction weights and building, iteration updates signal matrix, Until current iteration number is equal to the length of electric-power wire communication signal sequence;Currently available signal matrix is converted, it is raw At the electric-power wire communication signal sequence of not missing data, to reconstruct electric-power wire communication signal sequence, power line communication is solved Signal is transmitted by mesolow electric power networks, there are problems that shortage of data.
Electric-power wire communication signal self-adapting reconstruction method described in embodiment for a better understanding of the present invention, carries out it It is described in detail, as shown in Fig. 2, the electric-power wire communication signal self-adapting reconstruction method can specifically include following steps:
A1 acquires electric-power wire communication signal sequence
Acquire electric-power wire communication signal sequence pori=[P1,P2,…,PN], wherein N is electric-power wire communication signal sequence Length, wherein electric-power wire communication signal sequence is alternatively referred to as power line communication data sequence.
A2, by electric-power wire communication signal sequence pori=[P1,P2,…,PN] carry out segmentation and by the data after segmentation again It is arranged as a signal matrix P, data sectional and matrix arrangement are as shown in Figure 3.
Electric-power wire communication signal sequence is divided into N according to the precedence of electric-power wire communication signal sequence by A21RSection, often Duan Hanyou NCA data,Wherein, symbolIt is rounded in expression, for example, It does so Purpose is that all data are involved in operation, does not give up data.
Under normal circumstances, NR=256 or 512 or 1024, in practical applications, NRValue determined by practical application scene.
A22, if N < NR×NC, then by the insufficient part zero padding of final stage.
Data permutation after segmentation is the form of matrix by A23, and one piece of data is a line, so signal matrix P is total There is NRRow, NCColumn, signal matrix P are represented by
A3, by signal matrixBe converted to 2D signal
nr=1,2 ..., NR
nc=1,2 ..., NC
Wherein,Indicate 2D signal,Indicate signal matrixN-thrRow, n-thcColumn element.
A4 determines 2D signalSignal transformation operator
Signal transformation operatorIt indicates are as follows:
Wherein,Indicate parameter;ForWeighting function in domain, independent variable areGeneral feelings It can choose Gaussian function under condition;ForWeighting function in domain, independent variable areSubscript i indicates imaginary number list Position.
A5 constructs transformation operator matrix D
Translate the signals into operatorBe converted to matrix form:
Wherein,It indicates in transformation operator matrix D, n-thrRow, n-thcThe element of column isTherefore, matrix D NR×NCTie up matrix.
A6 constructs calculation matrix R
The general type of calculation matrix R can indicate are as follows:
Wherein, I is unit matrix, indicates the section of not shortage of data;0 is null matrix, indicates the section of shortage of data.
In the present embodiment, the value of calculation matrix is determined by signal matrix, it is assumed that the 2nd row the 3rd arranges in signal matrix Data have missing, then in calculation matrix the 3rd column element of the 2nd row be 0, be otherwise 1.
A7, interative computation
Assuming that currently carry out kth time iteration, the signal matrix obtained in k times isIn upper primary (i.e. kth -1 time) institute Obtained signal matrix isK=1,2 ..., N, and order matrix
A71 determines signal matrix Pk
Reconstruction weights are determined, according to the calculation matrix of obtained transformation operator matrix, reconstruction weights and building, more new signal Matrix PkAre as follows:
Wherein, α indicates reconstruction weights, α ∈ [0,1];Threshold operator is indicated, for carrying out threshold value to the data in bracket Operation;It indicates to matrix(wherein, productA matrix) in all elements carry out threshold operation, threshold operation is to matrixIn element one by one carry out;xijRepresenting matrixThe i-th row, jth column element;σmaxIt indicatesThe maximum value of middle all elements absolute value; σminIt indicatesThe minimum value of middle all elements absolute value.
A72, judges whether current iteration number is equal to the length N of electric-power wire communication signal sequence, if k=N, iteration It terminates, obtains the PLC signal matrix of not missing dataEnter step A8;Otherwise, k=k+1 return step A71 Continue iteration.
A8 rearranges data, by the PLC signal matrix P of obtained not missing datarecBe converted to power line communication Signal sequence obtains the electric-power wire communication signal sequence of not missing data
The matrix P that will be obtainedrecThe first row data as first segment, the second row data as second segment, and so on, Last line data connect these sections as final stage in sequence, and intercept one number of N number of data composition of front According to sequence, this data sequence is exactly the electric-power wire communication signal sequence of not missing data, as required.
Electric-power wire communication signal self-adapting reconstruction method described in the embodiment of the present invention can effectively restore the electric power of missing Line signal of communication.If the electric-power wire communication signal sequence deletion of acquisition is no more than the 20% of total data, data after recovery with Error between the real data of acquisition is no more than 4%;And the electric-power wire communication signal as described in the embodiment of the present invention is adaptive It answers reconstructing method using iterative manner, calculates simple and quick.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art For, without departing from the principles of the present invention, several improvements and modifications can also be made, these improvements and modifications It should be regarded as protection scope of the present invention.

Claims (9)

1. a kind of electric-power wire communication signal self-adapting reconstruction method characterized by comprising
Electric-power wire communication signal sequence is acquired, signal matrix is converted into;
According to the signal matrix being converted to, transformation operator matrix is constructed;
Construct calculation matrix;
Reconstruction weights are determined, according to the calculation matrix of obtained transformation operator matrix, reconstruction weights and building, iteration more new signal Matrix, until current iteration number is equal to the length of electric-power wire communication signal sequence;
Currently available signal matrix is converted, the electric-power wire communication signal sequence of not missing data is generated.
2. electric-power wire communication signal self-adapting reconstruction method according to claim 1, which is characterized in that the acquisition electric power Line sequence of communication signals, being converted into signal matrix includes:
Acquire electric-power wire communication signal sequence pori=[P1,P2,…,PN], wherein N is the length of electric-power wire communication signal sequence;
According to the precedence of electric-power wire communication signal sequence, electric-power wire communication signal sequence is divided into NRSection, every section contains NCIt is a Data,Wherein, symbolIt is rounded in expression;
If N < NR×NC, then by the insufficient part zero padding of final stage;
It is the form of matrix by the data permutation after segmentation, one piece of data is a line, obtains signal matrix
3. electric-power wire communication signal self-adapting reconstruction method according to claim 2, which is characterized in that described according to conversion Obtained signal matrix, building transformation operator matrix include:
By signal matrixBe converted to 2D signal;
Determine the signal transformation operator of 2D signal;
It translates the signals into operator and is converted to matrix form, obtain transformation operator matrix.
4. electric-power wire communication signal self-adapting reconstruction method according to claim 3, which is characterized in that obtained after conversion 2D signal are as follows:
nr=1,2 ..., NR
nc=1,2 ..., NC
Wherein,Indicate 2D signal,Indicate signal matrixN-thrRow, n-thcColumn element.
5. electric-power wire communication signal self-adapting reconstruction method according to claim 4, which is characterized in that signal transformation operator It indicates are as follows:
Wherein,Indicate signal transformation operator,Indicate parameter;ForIn domain Weighting function, independent variable areForWeighting function in domain, independent variable areSubscript i indicates imaginary number list Position.
6. electric-power wire communication signal self-adapting reconstruction method according to claim 5, which is characterized in that transformation operator matrix It indicates are as follows:
Wherein, D indicates transformation operator matrix;FormulaIt indicates in transformation operator matrix D, n-thr Row, n-thcThe element of column isD is NR×NCTie up matrix.
7. electric-power wire communication signal self-adapting reconstruction method according to claim 6, which is characterized in that the measurement square of building The form of battle array are as follows:
Wherein, R indicates calculation matrix;I is unit matrix;0 is null matrix.
8. electric-power wire communication signal self-adapting reconstruction method according to claim 7, which is characterized in that the determining reconstruct Weight, according to the calculation matrix of obtained transformation operator matrix, reconstruction weights and building, iteration updates signal matrix, until working as Preceding the number of iterations be equal to electric-power wire communication signal sequence length include:
Signal matrix is updated by signal matrix iterative formula iteration, until current iteration number is equal to electric-power wire communication signal sequence Iteration is terminated when the length N of column, obtains the signal matrix of not missing dataWherein, signal matrix iterative formula table It is shown as:
Wherein,Indicate the signal matrix that kth time iteration obtains;Indicate the signal matrix that -1 iteration of kth obtains;α is indicated Reconstruction weights;Indicate threshold operator;It indicates to matrixIn all elements carry out threshold operation;xijRepresenting matrixThe i-th row, jth column element;σmaxIt indicatesThe maximum value of middle all elements absolute value; σminIt indicatesThe minimum value of middle all elements absolute value.
9. electric-power wire communication signal self-adapting reconstruction method according to claim 8, which is characterized in that described to be obtained current To signal matrix converted, the electric-power wire communication signal sequence for generating not no missing data includes:
The matrix P that will be obtainedrecThe first row data as first segment, the second row data as second segment, and so on, finally Data line connects these sections as final stage in sequence, and the N number of data for intercepting front form a data sequence Column, this data sequence is exactly the electric-power wire communication signal sequence of not missing data.
CN201811055368.2A 2018-09-11 2018-09-11 A kind of electric-power wire communication signal self-adapting reconstruction method Withdrawn CN109194369A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104904246A (en) * 2013-01-10 2015-09-09 诺基亚技术有限公司 Handling calibration data
CN106199602A (en) * 2016-08-31 2016-12-07 电子科技大学 A kind of Staggered SAR echo signal method for reconstructing
US20180054217A1 (en) * 2016-08-19 2018-02-22 Samsung Electronics Co., Ltd. Erasure code data protection and recovery computation system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104904246A (en) * 2013-01-10 2015-09-09 诺基亚技术有限公司 Handling calibration data
US20180054217A1 (en) * 2016-08-19 2018-02-22 Samsung Electronics Co., Ltd. Erasure code data protection and recovery computation system and method
CN106199602A (en) * 2016-08-31 2016-12-07 电子科技大学 A kind of Staggered SAR echo signal method for reconstructing

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
宋和平 等: "稀疏信号重构的残差最小化追踪", 《信息与控制》 *

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