CN108880620B - Power line communication signal reconstruction method - Google Patents
Power line communication signal reconstruction method Download PDFInfo
- Publication number
- CN108880620B CN108880620B CN201810950418.7A CN201810950418A CN108880620B CN 108880620 B CN108880620 B CN 108880620B CN 201810950418 A CN201810950418 A CN 201810950418A CN 108880620 B CN108880620 B CN 108880620B
- Authority
- CN
- China
- Prior art keywords
- power line
- line communication
- communication signal
- signal
- decomposition coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000004891 communication Methods 0.000 title claims abstract description 147
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 67
- 108010076504 Protein Sorting Signals Proteins 0.000 claims abstract description 51
- 239000011159 matrix material Substances 0.000 claims description 33
- 239000000126 substance Substances 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 7
- 230000009466 transformation Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000002950 deficient Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 description 12
- 230000001105 regulatory effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 230000011218 segmentation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/54—Systems for transmission via power distribution lines
- H04B3/542—Systems for transmission via power distribution lines the information being in digital form
-
- 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
- H04B2203/5404—Methods of transmitting or receiving signals via power distribution lines
Landscapes
- 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 invention provides a power line communication signal reconstruction method which can reconstruct and generate a power line communication signal sequence without missing data. The method comprises the following steps: acquiring a power line communication signal sequence, and converting the power line communication signal sequence into a two-dimensional signal; decomposing the two-dimensional signal, and obtaining a power line communication signal decomposition coefficient; calculating the actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter; adjusting the power line communication signal decomposition coefficient according to the calculated actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter; and generating a power line communication signal sequence without missing data according to the adjusted power line communication signal decomposition coefficient. The invention relates to the field of electric power.
Description
Technical Field
The invention relates to the field of electric power, in particular to a power line communication signal 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 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.
To solve the foregoing technical problem, an embodiment of the present invention provides a method for reconstructing a power line communication signal, including:
acquiring a power line communication signal sequence, and converting the power line communication signal sequence into a two-dimensional signal;
decomposing the two-dimensional signal, and obtaining a power line communication signal decomposition coefficient;
calculating the actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter;
adjusting the power line communication signal decomposition coefficient according to the calculated actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter;
and generating a power line communication signal sequence without missing data according to the adjusted power line communication signal decomposition coefficient.
Further, the acquiring the power line communication signal sequence and converting the power line communication signal sequence into a two-dimensional signal includes:
acquiring power line communication signal sequences P (1), P (2), …, P (N), and converting the power line communication signal sequences into a matrix form to obtain a signal matrix, wherein N is the length of the power line communication signal sequences;
the signal matrix is converted into a two-dimensional signal.
Further, the acquiring power line communication signal sequences P (1), P (2), …, P (n), and converting them into a matrix form to obtain a signal matrix includes:
dividing the power line communication signal sequence P (1), P (2), …, P (N) into N according to the sequence of the power line communication signal sequence P (1), P (2), …, P (N)RSegments, each segment containing NCThe number of the data is one,
wherein, the symbol
Representing 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 two-dimensional signal obtained after conversion is:
nr＝1,2,…,NR
nc＝1,2,…,NC
wherein the content of the first and second substances,
a two-dimensional signal is represented by,
representing a signal matrix
N of (2)rLine, n-thcColumn elements.
Further, the decomposing the two-dimensional signal and obtaining the power line communication signal decomposition coefficient includes:
by the formula
Decomposing the two-dimensional signal to obtain a power line communication signal decomposition coefficient
Wherein the content of the first and second substances,
represents a power line communication signal transformation operator,
operator for representing power line communication signal transformation
The conjugate of (a) to (b),
representing a parameter.
Further, power line communication signal transformation operator
The calculation formula of (2) is as follows:
wherein the content of the first and second substances,
is composed of
Weight function in the domain, argument being
Is composed of
Weight function in the domain, argument being
Superscript i denotes imaginary units.
Further, the adjusting the power line communication signal decomposition coefficient according to the calculated actual edge probability distribution of each parameter in the decomposition coefficient and the mean and mean square error of each parameter includes:
determining theoretical probability distribution of power line communication signal decomposition coefficients according to the obtained mean value and mean square error of each parameter;
adjusting the frequency of occurrence of the decomposition coefficient of the power line communication signal according to the difference between the actual marginal probability distribution and the theoretical probability distribution of each parameter obtained by calculation and according to a preset adjustment principle to obtain a new decomposition coefficient of the power line communication signal
Further, the preset adjustment principle comprises:
and sequentially adjusting the occurrence frequency of the decomposition coefficients according to the sequence of the absolute values of the decomposition coefficients from small to large.
Further, the generating a powerline communication signal sequence without missing data according to the adjusted decomposition coefficient of the powerline communication signal comprises:
according to the obtained new power line communication signal decomposition coefficient
By the formula
Obtaining a power line communication signal without data loss
According to the obtained power line communication signal without data loss
Constructing new signal matrix
The obtained signal matrix
The 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.
Further, the signal matrix
Expressed as:
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 two-dimensional signal; decomposing the two-dimensional signal, and obtaining a power line communication signal decomposition coefficient; calculating the actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter; adjusting the power line communication signal decomposition coefficient according to the calculated actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter; and generating a power line communication signal sequence without missing data according to the adjusted power line communication signal decomposition coefficient, 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 power line communication signal reconstruction method according to an embodiment of the present invention;
fig. 2 is a detailed flowchart of a power line communication signal 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 reconstruction method aiming at the problem that data is lost when the existing PLC signal is transmitted through a medium-low voltage power network.
As shown in fig. 1, a method for 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 two-dimensional signal;
s102, decomposing the two-dimensional signal, and obtaining a power line communication signal decomposition coefficient;
s103, calculating the actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter;
s104, adjusting the power line communication signal decomposition coefficient according to the actual marginal probability distribution of each parameter in the decomposition coefficient obtained by calculation and the mean value and mean square error of each parameter;
and S105, generating a power line communication signal sequence without missing data according to the adjusted power line communication signal decomposition coefficient.
The power line communication signal reconstruction method comprises the steps of collecting a power line communication signal sequence and converting the power line communication signal sequence into a two-dimensional signal; decomposing the two-dimensional signal, and obtaining a power line communication signal decomposition coefficient; calculating the actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter; adjusting the power line communication signal decomposition coefficient according to the calculated actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter; and generating a power line communication signal sequence without missing data according to the adjusted power line communication signal decomposition coefficient, 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 power line communication signal reconstruction method according to the embodiment of the present invention, the detailed description is provided, as shown in fig. 2, the power line communication signal reconstruction method may specifically include the following steps:
a1, collecting power line communication signal sequence
The method comprises the steps of acquiring power line communication signal sequences P (1), P (2), …, P (N), wherein N is the length of the power line communication signal sequence, and the power line communication signal sequence can also be called as a power line communication data sequence.
A2, segmenting the power line communication signal sequences P (1), P (2), …, P (n) and rearranging the segmented data 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 P (1), P (2), …, P (N) into N according to the sequence of the power line communication signal sequence P (1), P (2), …, P (N)RSegments, each segment containing NCThe number of the data is one,
wherein, the symbol
Meaning 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 can be expressed as
A3, signal matrix
Conversion to two-dimensional signals
nr＝1,2,…,NR
nc＝1,2,…,NC
Wherein the content of the first and second substances,
representing a signal matrix
N of (2)rLine, n-thcColumn elements.
A4, for two-dimensional signals
Is decomposed
By the formula
For two-dimensional signals
Decomposing to obtain decomposition coefficient of power line communication signal
Wherein the content of the first and second substances,
represents a power line communication signal transformation operator,
operator for representing power line communication signal transformation
The conjugate of (a) to (b),
representing a parameter.
In this embodiment, the power line communication signal transformation operator
The calculation formula of (2) is as follows:
wherein the content of the first and second substances,
is composed of
Weight function in the domain, argument being
A gaussian function may be selected in general;
is composed of
Weight function in the domain, argument being
The superscript i denotes the imaginary unit whose square is equal to-1.
A5, obtaining the marginal probability distribution of each parameter in the decomposition coefficient of the power line communication signal
And each ginsengMean value of quantity
Sum mean square error
Decomposing the obtained power line communication signal according to a general method
Sequence, evaluating each parameter
Edge probability distribution of
And each parameter is obtained
Mean value of
Sum mean square error
A6, adjusting decomposition coefficient of power line communication signal
A6.1, according to the obtained mean value and mean square error of each parameter, obtaining the theoretical probability distribution of the power line communication signal decomposition coefficient:
where norm [ m, σ ] represents a gaussian distribution with mean m and mean variance σ.
A6.2 adjusting power line communication signal decomposition coefficient according to difference of parametric probability distribution
According to 4 parameters
Actual edge probability distribution of
And theoretical distribution
According to the preset adjustment principle, the frequency of the occurrence of the decomposition coefficient of the power line communication signal is adjusted to obtain a new decomposition coefficient of the power line communication signal
In this embodiment, the preset adjustment principle includes:
starting from the coefficient with the smallest absolute value of the decomposition coefficients, the actual distribution is made to fit as closely as possible to the theoretical distribution, i.e.: the error between the actual distribution and the theoretical distribution of the parameters is made smaller than a preset value (for example, 10%);
according to the sequence of the absolute values of the decomposition coefficients from small to large, the frequency of the occurrence of the decomposition coefficients is sequentially adjusted to make the decomposition coefficients coincide with the theoretical distribution as much as possible;
after adjustment, a new power line communication signal decomposition coefficient is obtained
A7, obtaining new power line communication signal
A7.1 the power line communication signal decomposition coefficient
The power line communication signal corresponding to the decomposition coefficient sequence is the power line communication signal without missing data. Specifically, the method comprises the following steps:
according to the obtained new power line communication signal decomposition coefficient
By the formula
Obtaining a power line communication signal without data loss
A7.2 constructing a new power line communication signal matrix
Obtained by
As a new signal matrix
N of (2)rLine, n-thcThe column elements, namely:
a8, rearranging data to obtain a power line communication signal sequence without missing data
The obtained signal matrix
As a first segment, and the second line data as a second segmentAnd by analogy, the last row of data is taken as the last section, the sections are connected in sequence, the N pieces of data in the front are intercepted to form a data sequence, and the data sequence is a power line communication signal sequence without missing data.
The power line communication signal reconstruction method can effectively recover the missing power line communication signal. If the loss of the collected power line communication signal sequence is not more than 20% of the total data, the error of the signal sequence recovered by the algorithm is not more than 5%.
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 (1)
1. A power line communication signal reconstruction method, comprising:
acquiring a power line communication signal sequence, and converting the power line communication signal sequence into a two-dimensional signal;
decomposing the two-dimensional signal, and obtaining a power line communication signal decomposition coefficient;
calculating the actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter;
adjusting the power line communication signal decomposition coefficient according to the calculated actual marginal probability distribution of each parameter in the decomposition coefficient and the mean value and mean square error of each parameter;
generating a power line communication signal sequence without missing data according to the adjusted power line communication signal decomposition coefficient;
wherein, the acquiring the power line communication signal sequence and converting the power line communication signal sequence into a two-dimensional signal comprises:
acquiring power line communication signal sequences P (1), P (2), …, P (N), and converting the power line communication signal sequences into a matrix form to obtain a signal matrix, wherein N is the length of the power line communication signal sequences;
converting the signal matrix into a two-dimensional signal;
wherein, the acquiring power line communication signal sequences P (1), P (2), …, P (n), converting them into a matrix form, and obtaining a signal matrix includes:
dividing the power line communication signal sequence P (1), P (2), …, P (N) into N according to the sequence of the power line communication signal sequence P (1), P (2), …, P (N)RSegments, each segment containing NCThe number of the data is one,
wherein, the symbol
Representing upper rounding;
if N < 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
Wherein, the two-dimensional signal obtained after conversion is:
nr＝1,2,…,NR
nc＝1,2,…,NC
wherein the content of the first and second substances,
a two-dimensional signal is represented by,
representing a signal matrix
N of (2)rLine, n-thcA column element;
wherein, decomposing the two-dimensional signal, and obtaining the power line communication signal decomposition coefficient comprises:
by the formula
Decomposing the two-dimensional signal to obtain a power line communication signal decomposition coefficient
Wherein the content of the first and second substances,
represents a power line communication signal transformation operator,
operator for representing power line communication signal transformation
The conjugate of (a) to (b),
representing a parameter;
wherein the power line communication signal transformation operator
The calculation formula of (2) is as follows:
wherein the content of the first and second substances,
is composed of
Weight function in the domain, argument being
Is composed of
Weight function in the domain, argument being
Superscript i represents the imaginary unit;
wherein, according to the actual marginal probability distribution of each parameter in the decomposition coefficient obtained by calculation and the mean value and mean square error of each parameter, the adjustment of the power line communication signal decomposition coefficient comprises the following steps:
determining theoretical probability distribution of power line communication signal decomposition coefficients according to the obtained mean value and mean square error of each parameter;
adjusting the frequency of occurrence of the decomposition coefficient of the power line communication signal according to the difference between the actual marginal probability distribution and the theoretical probability distribution of each parameter obtained by calculation and according to a preset adjustment principle to obtain a new decomposition coefficient of the power line communication signal
Wherein, the preset adjustment principle comprises:
sequentially adjusting the occurrence frequency of the decomposition coefficients according to the sequence of the absolute values of the decomposition coefficients from small to large;
wherein the generating a power line communication signal sequence without missing data according to the adjusted power line communication signal decomposition coefficient comprises:
according to the obtained new power line communication signal decomposition coefficient
By the formula
Obtaining a power line communication signal without data loss
According to the obtained power line communication signal without data loss
Constructing new signal matrix
The obtained signal matrix
Taking the first row of data as a first section, 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 first N data to form a data sequence, wherein the data sequence is a power line communication signal sequence without missing data;
wherein the signal matrix
Expressed as:
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810950418.7A CN108880620B (en) | 2018-08-20 | 2018-08-20 | Power line communication signal reconstruction method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810950418.7A CN108880620B (en) | 2018-08-20 | 2018-08-20 | Power line communication signal reconstruction method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108880620A CN108880620A (en) | 2018-11-23 |
| CN108880620B true CN108880620B (en) | 2021-06-11 |
Family
ID=64320978
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810950418.7A Expired - Fee Related CN108880620B (en) | 2018-08-20 | 2018-08-20 | Power line communication signal reconstruction method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108880620B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112307997B (en) * | 2020-11-06 | 2022-02-08 | 华北电力大学 | Power signal reconstruction method and system by using main mode decomposition |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102968356A (en) * | 2011-12-30 | 2013-03-13 | 中国科学院上海光学精密机械研究所 | Data processing method of cloud storage system |
| CN105335252A (en) * | 2015-10-22 | 2016-02-17 | 浪潮电子信息产业股份有限公司 | Data protection method, device and system |
| CN106201764A (en) * | 2016-06-29 | 2016-12-07 | 北京三快在线科技有限公司 | A kind of date storage method and device, a kind of data reconstruction method and device |
| CN107832170A (en) * | 2017-10-31 | 2018-03-23 | 北京金风科创风电设备有限公司 | Method and device for recovering missing data |
| CN107979602A (en) * | 2017-12-01 | 2018-05-01 | 西安交通大学 | A kind of method for detecting abnormality based on semi-supervised statistics in cellular network |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020114407A1 (en) * | 2001-02-21 | 2002-08-22 | Vladimir Katzman | Clock and data recovery unit with loss of signal and error detection |
-
2018
- 2018-08-20 CN CN201810950418.7A patent/CN108880620B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102968356A (en) * | 2011-12-30 | 2013-03-13 | 中国科学院上海光学精密机械研究所 | Data processing method of cloud storage system |
| CN105335252A (en) * | 2015-10-22 | 2016-02-17 | 浪潮电子信息产业股份有限公司 | Data protection method, device and system |
| CN106201764A (en) * | 2016-06-29 | 2016-12-07 | 北京三快在线科技有限公司 | A kind of date storage method and device, a kind of data reconstruction method and device |
| CN107832170A (en) * | 2017-10-31 | 2018-03-23 | 北京金风科创风电设备有限公司 | Method and device for recovering missing data |
| CN107979602A (en) * | 2017-12-01 | 2018-05-01 | 西安交通大学 | A kind of method for detecting abnormality based on semi-supervised statistics in cellular network |
Non-Patent Citations (1)
| Title |
|---|
| 面向时序数据的矩阵分解;黄晓宇，潘嵘，李磊，梁冰，陈康，蔡文学;《软件学报》;20150930;第2262-2277页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108880620A (en) | 2018-11-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103457638B (en) | Restraining device and restraining method for burst impulse noise of power line communication channel | |
| Lin et al. | Impulsive noise mitigation in powerline communications using sparse Bayesian learning | |
| CN108880621B (en) | Adaptive filtering method for power line communication signals | |
| CN109257068B (en) | Adaptive filtering method for power line communication signals | |
| CN205249269U (en) | Receiver | |
| CN105356886B (en) | Power line noise compression method and device based on compressed sensing | |
| CN109257069B (en) | Adaptive filtering method for power line communication signals | |
| CN110909480B (en) | Denoising method and denoising device for water turbine vibration signal | |
| CN108880620B (en) | Power line communication signal reconstruction method | |
| CN109039379B (en) | Power line communication signal filtering method | |
| CN109309513B (en) | Adaptive reconstruction method for power line communication signals | |
| CN109150245B (en) | Method and system for filtering nonstationary and non-Gaussian noise in PLC communication signal | |
| CN110611522B (en) | PLC signal reconstruction method and system using multiple regular optimization theory | |
| CN110719123B (en) | PLC signal reconstruction method and system using subspace optimization theory | |
| CN110336591B (en) | PLC signal filtering method and system by utilizing signal separation | |
| CN116632791A (en) | Pilot protection method for outgoing line based on composite transient energy low-frequency characteristics | |
| CN105656516A (en) | Method for regulating middle-voltage power carrier power | |
| CN111934716B (en) | Power line communication signal filtering method and system | |
| CN108964719B (en) | Adaptive reconstruction method for power line communication signal | |
| CN110661549B (en) | PLC signal reconstruction method and system by utilizing dictionary atoms | |
| CN111786700A (en) | PLC signal filtering method and system utilizing Ke's energy scale | |
| CN112383326B (en) | PLC signal filtering method and system using spectral mode threshold | |
| CN112187319A (en) | PLC signal reconstruction method and system using Dantzig selector | |
| Lin | Robust transceivers to combat impulsive noise in powerline communications | |
| CN112290976A (en) | PLC signal filtering method and system using learning algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210611 |