CN109309513A - 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 PDFInfo
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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；According to the calculation matrix of obtained transformation operator matrix 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
Technical Field
The present invention relates to the field of communications, and in particular, to a power line communication signal adaptive reconstruction method.
Background
Compared with various wired communication technologies, Power Line Communications (PLC) has the advantages of no need of rewiring, easy networking and the like, and has a wide application prospect. The power line communication technology is classified into Narrowband over power line (NPL) and Broadband over power line (BPL). The narrow-band power line communication refers to a power line carrier communication technology with the bandwidth limited to 3 k-500 kHz. Including the regulated bandwidth of CENELEC in Europe (3-148.5 kHz), the regulated bandwidth of the Federal Communications Commission (FCC) in the United states (9-490 kHz), the regulated bandwidth of the Association of Radio Industries and Businesses (ARIB) in Japan (9-450 kHz), and the regulated bandwidth of China (3-500 kHz). The narrow-band power line communication technology mostly adopts a single carrier modulation technology, such as a PSK technology, a DSSS technology, a Chirp technology and the like, and the communication speed is less than 1 Mbits/s. The broadband power line communication technology refers to a power line carrier communication technology with the bandwidth limited between 1.6-30 MHz and the communication rate generally above 1Mbps, and adopts various spread spectrum communication technologies with Orthogonal Frequency Division Multiplexing (OFDM) as a core.
Although the power line communication system has wide application and relatively mature technology, compared with communication systems such as optical fibers and the like, the PLC signal is transmitted through a medium-low voltage power network, the power network has a complex structure and numerous branches, and particularly, the power network is not designed for transmitting a high-frequency communication signal, complex electrical equipment in the power network can seriously interfere with the PLC signal, so that a PLC signal transmission error is inevitably caused, and relatively serious data loss is caused.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a power line communication signal adaptive reconstruction method to solve the problem of data loss caused by transmission of a PLC signal through a medium-low voltage power network in the prior art.
In order to solve the foregoing technical problem, an embodiment of the present invention provides a power line communication signal adaptive reconstruction method, including:
acquiring a power line communication signal sequence, and converting the power line communication signal sequence into a signal matrix;
constructing a transformation operator matrix according to the signal matrix obtained by conversion;
constructing a measurement matrix;
iteratively updating the signal matrix according to the obtained transformation operator matrix and the constructed measurement matrix until the current iteration number is equal to the length of the power line communication signal sequence;
and converting the currently obtained signal matrix to generate a power line communication signal sequence without missing data.
Further, the acquiring the power line communication signal sequence and converting the power line communication signal sequence into a signal matrix includes:
collecting power line communication signal sequence pori＝[P1,P2,…,PN]Wherein, N is the length of the power line communication signal sequence;
dividing the power line communication signal sequence into N according to the sequence of the power line communication signal sequenceRSegments, each segment containing NCThe number of the data is one,wherein, the symbolRepresenting upper rounding;
if N is present<NR×NCZero-filling the deficient part of the last section;
rearranging the segmented data into a matrix form, wherein one segment of data is one row to obtain a signal matrix
Further, the constructing a transform operator matrix according to the converted signal matrix includes:
signal matrixConverting into a two-dimensional signal;
determining a signal transformation operator of the two-dimensional signal;
and converting the signal transformation operator into a matrix form to obtain a transformation operator matrix.
Further, the two-dimensional signal obtained after conversion is:
nr＝1,2,…,NR
nc＝1,2,…,NC
wherein,a two-dimensional signal is represented by,representing a signal matrixN of (2)rLine, n-thcColumn elements.
Further, the signal transformation operator is represented as:
wherein,a representation of the signal transformation operator is shown,representing a parameter;is composed ofWeight function in the domain, argument beingIs composed ofWeight function in the domain, argument beingSuperscript i denotes imaginary units.
Further, the transform operator matrix is represented as:
wherein D represents a transformation operator matrix; formula (II)Representing the nth of the transformation operator matrix DrLine, n-thcThe elements of the column areD is NR×NCA dimension matrix.
Further, the measurement matrix is constructed in the form of:
wherein R represents a measurement matrix; i is an identity matrix; 0 is a zero matrix.
Further, the iteratively updating the signal matrix according to the obtained transform operator matrix and the constructed measurement matrix until the current iteration number is equal to the length of the power line communication signal sequence includes:
iteratively updating the signal matrix through a signal matrix iteration formula until the current iteration times are equal to the length N of the power line communication signal sequence, and obtaining the signal matrix without missing dataWherein the signal matrix iterative formula is represented as:
wherein,representing a signal matrix obtained by the (k + 1) th iteration;representing a signal matrix obtained by the k iteration;representing a threshold operator;representation pair matrix D and matrixProduct of (2)Performing threshold operation on all elements in the sequence; x is the number ofijRepresentation matrixRow i, column j elements; sigmamaxTo representMaximum value of absolute value of all elements in the list; sigmaminTo representThe minimum of the absolute values of all elements in (c).
Further, the converting the currently obtained signal matrix to generate the power line communication signal sequence without missing data includes:
the obtained matrix PrecThe first row of data is used as a first section, the second row of data is used as a second section, and so on, the last row of data is used as a last section, the sections are connected in sequence, the first N data are intercepted to form a data sequence, and the data sequence is a power line communication signal sequence without missing data.
The technical scheme of the invention has the following beneficial effects:
in the scheme, a power line communication signal sequence is collected and converted into a signal matrix; constructing a transformation operator matrix according to the signal matrix obtained by conversion; constructing a measurement matrix; iteratively updating the signal matrix according to the obtained transformation operator matrix and the constructed measurement matrix until the current iteration number is equal to the length of the power line communication signal sequence; and converting the currently obtained signal matrix to generate a power line communication signal sequence without missing data, so as to reconstruct the power line communication signal sequence and solve the problem of data missing caused by the transmission of the power line communication signal through a medium-low voltage power network.
Drawings
Fig. 1 is a schematic flowchart of a method for adaptively reconstructing a power line communication signal according to an embodiment of the present invention;
fig. 2 is a detailed flowchart of a power line communication signal adaptive reconstruction method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of data segmentation and matrix arrangement provided in the embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides a power line communication signal self-adaptive reconstruction method aiming at the problem of data loss in the existing transmission of PLC signals through a medium-low voltage power network.
As shown in fig. 1, a method for adaptively reconstructing a power line communication signal according to an embodiment of the present invention includes:
s101, acquiring a power line communication signal sequence, and converting the power line communication signal sequence into a signal matrix;
s102, constructing a transformation operator matrix according to the signal matrix obtained by conversion;
s103, constructing a measurement matrix;
s104, iteratively updating the signal matrix according to the obtained transformation operator matrix and the constructed measurement matrix until the current iteration number is equal to the length of the power line communication signal sequence;
and S105, converting the currently obtained signal matrix to generate a power line communication signal sequence without missing data.
The adaptive reconstruction method of the power line communication signal, provided by the embodiment of the invention, comprises the steps of collecting a power line communication signal sequence and converting the power line communication signal sequence into a signal matrix; constructing a transformation operator matrix according to the signal matrix obtained by conversion; constructing a measurement matrix; iteratively updating the signal matrix according to the obtained transformation operator matrix and the constructed measurement matrix until the current iteration number is equal to the length of the power line communication signal sequence; and converting the currently obtained signal matrix to generate a power line communication signal sequence without missing data, so as to reconstruct the power line communication signal sequence and solve the problem of data missing caused by the transmission of the power line communication signal through a medium-low voltage power network.
In order to better understand the adaptive reconstruction method for the power line communication signal according to the embodiment of the present invention, the detailed description thereof is given, as shown in fig. 2, the adaptive reconstruction method for the power line communication signal may specifically include the following steps:
a1, collecting power line communication signal sequence
Collecting power line communication signal sequence pori＝[P1,P2,…,PN]Where N is the length of the power line communication signal sequence, where the power line communication signal sequence may also be referred to as a power line communication data sequence.
A2, transmitting the power line communication signal sequence pori＝[P1,P2,…,PN]Segmentation is performed and the segmented data is rearranged into a signal matrix P, the data segmentation and matrix arrangement being as shown in fig. 3.
A21, dividing the power line communication signal sequence into N according to the sequence of the power line communication signal sequenceRSegments, each segment containing NCThe number of the data is one,wherein, the symbolMeaning that the upper rounding, for example, the purpose of this is that all data is involved in the operation and not discarded.
In general, N isR256 or 512 or 1024, in practical applications, NRThe value of (a) is determined by the actual application scenario.
A22 if N<NR×NCThe insufficient part of the last segment is zero-filled.
A23, rearranging the segmented data into matrix form, one segment of data is one row, so that the signal matrix P has N in totalRLine, NCThe column, signal matrix P can be represented as
A3, signal matrixConversion to two-dimensional signals
nr＝1,2,…,NR
nc＝1,2,…,NC
Wherein,a two-dimensional signal is represented by,representing a signal matrixN of (2)rLine, n-thcColumn elements.
A4, determining twoDimension signalSignal transformation operator of
Signal transformation operatorExpressed as:
wherein,representing a parameter;is composed ofWeight function in the domain, argument beingA gaussian function may be selected in general;is composed ofWeight function in the domain, argument beingSuperscript i denotes imaginary units.
A5, constructing a transformation operator matrix D
Transforming a signal into an operatorConversion to matrix form:
wherein,representing the nth of the transformation operator matrix DrLine, n-thcThe elements of the column areThus, the matrix D is NR×NCA dimension matrix.
A6, constructing a measurement matrix R
The general form of the measurement matrix R can be expressed as:
wherein, I is an identity matrix which represents a segment without data loss; 0 is a zero matrix, representing a segment with a missing data.
In this embodiment, the value of the measurement matrix is determined by the signal matrix, and if data in the 2 nd row and the 3 rd column in the signal matrix is missing, the element in the 2 nd row and the 3 rd column in the measurement matrix is 0, otherwise, 1.
A7, iterative operation
Assuming that the (k + 1) th iteration is currently performed, the signal matrix obtained in the (k + 1) th iteration isThe signal matrix obtained at the last (i.e., kth) time isk＝1,2,…,N-1。
A71, determining a signal matrix
Updating the signal matrix according to the obtained transformation operator matrix and the constructed measurement matrixComprises the following steps:
wherein,a representation threshold operator for performing a threshold operation on the data in parentheses;representation pair matrix D and matrixProduct of (2)(wherein, the product ofIs a matrix) is subjected to a threshold operation, which is a thresholding operation on the matrixOne for each element in (a); x is the number ofijRepresentation matrixRow i, column j elements; sigmamaxTo representMaximum value of absolute value of all elements in the list; sigmaminTo representThe minimum of the absolute values of all elements in (c).
A72, judging whether the current iteration number is equal to the length N of the power line communication signal sequence, if k is equal to N, terminating the iteration and obtaining the PLC signal matrix without missing dataEntering step A8; otherwise, k +1 returns to step a71 to continue the iteration.
A8, rearranging data, and obtaining the PLC signal matrix P without missing datarecConverting the data into a power line communication signal sequence to obtain a power line communication signal sequence without missing data
The obtained matrix PrecAs a first segment of the first row of data,and taking the second row of data as a second section, and so on, taking the last row of data as a last section, connecting the sections in sequence, and intercepting the front N data to form a data sequence, wherein the data sequence is a power line communication signal sequence without missing data, and the data sequence is the required data.
The adaptive reconstruction method for the power line communication signals, provided by the embodiment of the invention, can effectively recover the missing power line communication signals. If the loss of the collected power line communication signal sequence is not more than 20% of the total data, the error between the recovered data and the collected actual data is not more than 4%; in addition, the adaptive reconstruction method for the power line communication signals adopts an iteration mode, so that the calculation is simple and fast.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (9)
1. A power line communication signal adaptive reconstruction method is characterized by comprising the following steps:
acquiring a power line communication signal sequence, and converting the power line communication signal sequence into a signal matrix;
constructing a transformation operator matrix according to the signal matrix obtained by conversion;
constructing a measurement matrix;
iteratively updating the signal matrix according to the obtained transformation operator matrix and the constructed measurement matrix until the current iteration number is equal to the length of the power line communication signal sequence;
and converting the currently obtained signal matrix to generate a power line communication signal sequence without missing data.
2. The adaptive reconstruction method for power line communication signals according to claim 1, wherein the acquiring the sequence of power line communication signals and converting the sequence of power line communication signals into the signal matrix comprises:
collecting power line communication signal sequence pori＝[P1,P2,…,PN]Wherein, N is the length of the power line communication signal sequence;
dividing the power line communication signal sequence into N according to the sequence of the power line communication signal sequenceRSegments, each segment containing NCThe number of the data is one,wherein, the symbolRepresenting upper rounding;
if N is present<NR×NCZero-filling the deficient part of the last section;
rearranging the segmented data into a matrix form, wherein one segment of data is one row to obtain a signal matrix
3. The adaptive reconstruction method for power line communication signals according to claim 2, wherein the constructing a transformation operator matrix according to the transformed signal matrix comprises:
signal matrixConverting into a two-dimensional signal;
determining a signal transformation operator of the two-dimensional signal;
and converting the signal transformation operator into a matrix form to obtain a transformation operator matrix.
4. The adaptive reconstruction method for power line communication signals according to claim 3, wherein the two-dimensional signals obtained after conversion are:
nr＝1,2,…,NR
nc＝1,2,…,NC
wherein,a two-dimensional signal is represented by,representing a signal matrixN of (2)rLine, n-thcColumn elements.
5. The power line communication signal adaptive reconstruction method according to claim 4, characterized in that the signal transformation operator is represented as:
wherein,a representation of the signal transformation operator is shown,representing a parameter;is composed ofWeight function in the domain, argument being Is composed ofWeight function in the domain, argument beingSuperscript i denotes imaginary units.
6. The power line communication signal adaptive reconstruction method according to claim 5, characterized in that the transform operator matrix is represented as:
wherein D represents a transformation operator matrix; formula (II)Representing the nth of the transformation operator matrix DrLine, n-thcThe elements of the column areD is NR×NCA dimension matrix.
7. The adaptive reconstruction method for power line communication signals according to claim 6, wherein the measurement matrix is constructed in the form of:
wherein R represents a measurement matrix; i is an identity matrix; 0 is a zero matrix.
8. The adaptive reconstruction method for power line communication signals according to claim 7, wherein iteratively updating the signal matrix according to the obtained transformation operator matrix and the constructed measurement matrix until the current iteration number is equal to the length of the power line communication signal sequence comprises:
iteratively updating the signal matrix through a signal matrix iteration formula until the current iteration times are equal to the length N of the power line communication signal sequence, and obtaining the signal matrix without missing dataWherein the signal matrix iterative formula is represented as:
wherein,representing a signal matrix obtained by the (k + 1) th iteration;representing a signal matrix obtained by the k iteration;representing a threshold operator;representation pair matrix D and matrixProduct of (2)Performing threshold operation on all elements in the sequence; x is the number ofijRepresentation matrixRow i, column j elements; sigmamaxTo representMaximum value of absolute value of all elements in the list; sigmaminTo representThe minimum of the absolute values of all elements in (c).
9. The adaptive reconstruction method for power line communication signals according to claim 8, wherein the converting the currently obtained signal matrix to generate the power line communication signal sequence without missing data comprises:
the obtained matrix PrecThe first row of data is used as a first section, the second row of data is used as a second section, and so on, the last row of data is used as a last section, the sections are connected in sequence, the first N data are intercepted to form a data sequence, and the data sequence is a power line communication signal sequence without missing data.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110161560A (en) * | 2019-04-29 | 2019-08-23 | 广东石油化工学院 | A kind of detection method and device of microseismic event |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040125669A1 (en) * | 2002-12-27 | 2004-07-01 | Lee Ju Yeab | Flash memory device capable of repairing a word line |
| CN101382670A (en) * | 2007-09-04 | 2009-03-11 | 上海广电Nec液晶显示器有限公司 | Liquid crystal display device signal lead repairing structure and repairing method thereof |
| EP2134018A1 (en) * | 2008-05-23 | 2009-12-16 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method for recovery of lost and/ or corrupted data |
| CN101944362A (en) * | 2010-09-14 | 2011-01-12 | 北京大学 | Integer wavelet transform-based audio lossless compression encoding and decoding method |
| WO2012069824A1 (en) * | 2010-11-26 | 2012-05-31 | Towers Watson Limited | A method and apparatus for analysing data representing attributes of physical entities |
| CN103425998A (en) * | 2013-08-23 | 2013-12-04 | 西安电子科技大学 | Method for identifying SAR target under shielding conditions |
| CN103744828A (en) * | 2013-12-30 | 2014-04-23 | 中国人民解放军重庆通信学院 | Measurement value missing compression sensing reconstruction method |
| CN103873170A (en) * | 2014-03-26 | 2014-06-18 | 哈尔滨工业大学 | Compressed sensing spectrum detecting method under blind sparse condition |
| CN103888145A (en) * | 2014-03-28 | 2014-06-25 | 电子科技大学 | Method for reconstructing signals |
| CN103929649A (en) * | 2014-04-28 | 2014-07-16 | 广西大学 | Reconstruction method for video compressed sensing |
| CN104090159A (en) * | 2014-07-16 | 2014-10-08 | 国家电网公司 | Electric energy measuring method and device |
| CN104125459A (en) * | 2014-07-28 | 2014-10-29 | 西安电子科技大学 | Support set and signal value detection based video compressive sensing reconstruction method |
| US20140368701A1 (en) * | 2013-06-12 | 2014-12-18 | Lilong SHI | Cloning image data patch in hole of pixel array (patch and clone) |
| CN104865568A (en) * | 2015-06-02 | 2015-08-26 | 西安电子科技大学 | Sparse reconstruction-based broadband radar high-speed group-target resolving method |
| CN106685427A (en) * | 2016-12-15 | 2017-05-17 | 华南理工大学 | Sparse signal reconstruction method based on information consistency |
| CN107612865A (en) * | 2017-10-12 | 2018-01-19 | 国网天津市电力公司电力科学研究院 | A kind of signal de-noising method applied to low-voltage powerline carrier communication |
-
2018
- 2018-09-11 CN CN201811055178.0A patent/CN109309513B/en not_active Expired - Fee Related
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040125669A1 (en) * | 2002-12-27 | 2004-07-01 | Lee Ju Yeab | Flash memory device capable of repairing a word line |
| CN101382670A (en) * | 2007-09-04 | 2009-03-11 | 上海广电Nec液晶显示器有限公司 | Liquid crystal display device signal lead repairing structure and repairing method thereof |
| EP2134018A1 (en) * | 2008-05-23 | 2009-12-16 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method for recovery of lost and/ or corrupted data |
| CN101944362A (en) * | 2010-09-14 | 2011-01-12 | 北京大学 | Integer wavelet transform-based audio lossless compression encoding and decoding method |
| WO2012069824A1 (en) * | 2010-11-26 | 2012-05-31 | Towers Watson Limited | A method and apparatus for analysing data representing attributes of physical entities |
| US20140368701A1 (en) * | 2013-06-12 | 2014-12-18 | Lilong SHI | Cloning image data patch in hole of pixel array (patch and clone) |
| CN103425998A (en) * | 2013-08-23 | 2013-12-04 | 西安电子科技大学 | Method for identifying SAR target under shielding conditions |
| CN103744828A (en) * | 2013-12-30 | 2014-04-23 | 中国人民解放军重庆通信学院 | Measurement value missing compression sensing reconstruction method |
| CN103873170A (en) * | 2014-03-26 | 2014-06-18 | 哈尔滨工业大学 | Compressed sensing spectrum detecting method under blind sparse condition |
| CN103888145A (en) * | 2014-03-28 | 2014-06-25 | 电子科技大学 | Method for reconstructing signals |
| CN103929649A (en) * | 2014-04-28 | 2014-07-16 | 广西大学 | Reconstruction method for video compressed sensing |
| CN104090159A (en) * | 2014-07-16 | 2014-10-08 | 国家电网公司 | Electric energy measuring method and device |
| CN104125459A (en) * | 2014-07-28 | 2014-10-29 | 西安电子科技大学 | Support set and signal value detection based video compressive sensing reconstruction method |
| CN104865568A (en) * | 2015-06-02 | 2015-08-26 | 西安电子科技大学 | Sparse reconstruction-based broadband radar high-speed group-target resolving method |
| CN106685427A (en) * | 2016-12-15 | 2017-05-17 | 华南理工大学 | Sparse signal reconstruction method based on information consistency |
| CN107612865A (en) * | 2017-10-12 | 2018-01-19 | 国网天津市电力公司电力科学研究院 | A kind of signal de-noising method applied to low-voltage powerline carrier communication |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110161560A (en) * | 2019-04-29 | 2019-08-23 | 广东石油化工学院 | A kind of detection method and device of microseismic event |
| CN110161560B (en) * | 2019-04-29 | 2020-08-25 | 广东石油化工学院 | Method and device for detecting microseismic event |
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