CN109039379B - Power line communication signal filtering method - Google Patents

Power line communication signal filtering method Download PDF

Info

Publication number
CN109039379B
CN109039379B CN201810948674.2A CN201810948674A CN109039379B CN 109039379 B CN109039379 B CN 109039379B CN 201810948674 A CN201810948674 A CN 201810948674A CN 109039379 B CN109039379 B CN 109039379B
Authority
CN
China
Prior art keywords
power line
line communication
communication signal
decomposition coefficient
signal
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.)
Active
Application number
CN201810948674.2A
Other languages
Chinese (zh)
Other versions
CN109039379A (en
Inventor
翟明岳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong University of Petrochemical Technology
Original Assignee
Guangdong University of Petrochemical Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangdong University of Petrochemical Technology filed Critical Guangdong University of Petrochemical Technology
Priority to CN201810948674.2A priority Critical patent/CN109039379B/en
Publication of CN109039379A publication Critical patent/CN109039379A/en
Application granted granted Critical
Publication of CN109039379B publication Critical patent/CN109039379B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines
    • H04B3/56Circuits for coupling, blocking, or by-passing of signals

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 filtering method for a power line communication signal, which can effectively filter out pulse noise in the power line communication signal. 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; determining a power line communication signal decomposition coefficient threshold according to the solved power line communication signal decomposition coefficient; judging whether the amplitude of the solved power line communication signal decomposition coefficient is larger than or equal to a power line communication signal decomposition coefficient threshold value or not, if so, taking the decomposition coefficient for filtering noise as the solved power line communication signal decomposition coefficient, and otherwise, taking the decomposition coefficient for filtering noise as a preset value; and generating a noiseless power line communication signal sequence by using the obtained decomposition coefficient for filtering the noise. The invention relates to the field of electric power.

Description

Power line communication signal filtering method
Technical Field
The invention relates to the field of electric power, in particular to a power line communication signal filtering 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 power line communication systems are widely used and the technology is relatively mature, the large number of branches and electrical equipment in the power line communication system generate a large amount of noise in the power line channel. The random impulse noise has high randomness and high noise intensity, and causes serious damage to a power line communication system.
With the application and popularization of nonlinear electrical appliances (such as a juicer, a coffee maker, a soybean milk maker and the like using a motor), more and more pulse noises appear in PLC signals, the instantaneous power of the noises is very high, and the noises have obvious non-stationarity and non-Gaussian characteristics, so that a low-pass filter used in the prior art has poor performance in the aspect of filtering the pulse noises, and the performance of a PLC system is seriously influenced.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a power line communication signal filtering method to solve the problem that a low-pass filter in the prior art cannot effectively filter out pulse noise in a power line communication signal.
In order to solve the above technical problem, an embodiment of the present invention provides a power line communication signal filtering method, 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;
determining a power line communication signal decomposition coefficient threshold according to the solved power line communication signal decomposition coefficient;
judging whether the amplitude of the solved power line communication signal decomposition coefficient is larger than or equal to a power line communication signal decomposition coefficient threshold value or not, if so, taking the decomposition coefficient for filtering noise as the solved power line communication signal decomposition coefficient, and otherwise, taking the decomposition coefficient for filtering noise as a preset value;
and generating a noiseless power line communication signal sequence by using the obtained decomposition coefficient for filtering the noise.
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:
according to the sequence of the power line communication signal sequences P (1), P (2), …, P (N), the power is transmittedThe line communication signal sequence P (1), P (2), …, P (N) is divided into NRSegments, each segment containing NCThe number of the data is one,
Figure BDA0001770923770000021
wherein, the symbol
Figure BDA0001770923770000022
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
Figure BDA0001770923770000023
Further, the two-dimensional signal obtained after conversion is:
Figure BDA0001770923770000024
nr=1,2,…,NR
nc=1,2,…,NC
wherein the content of the first and second substances,
Figure BDA0001770923770000031
a two-dimensional signal is represented by,
Figure BDA0001770923770000032
representing a signal matrix
Figure BDA0001770923770000033
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
Figure BDA0001770923770000034
Decomposing the two-dimensional signal to obtain a power line communication signal decomposition coefficient
Figure BDA0001770923770000035
Wherein the content of the first and second substances,
Figure BDA0001770923770000036
represents a power line communication signal transformation operator,
Figure BDA0001770923770000037
operator for representing power line communication signal transformation
Figure BDA0001770923770000038
The conjugate of (a) to (b),
Figure BDA0001770923770000039
representing a parameter.
Further, power line communication signal transformation operator
Figure BDA00017709237700000310
The calculation formula of (2) is as follows:
Figure BDA00017709237700000311
wherein the content of the first and second substances,
Figure BDA00017709237700000312
is composed of
Figure BDA00017709237700000313
Weight function in the domain, argument being
Figure BDA00017709237700000314
Figure BDA00017709237700000315
Is composed of
Figure BDA00017709237700000316
Weight function in the domain, argument being
Figure BDA00017709237700000317
Superscript i denotes imaginary units.
Further, the determining a power line communication signal decomposition coefficient threshold value according to the solved power line communication signal decomposition coefficient comprises:
calculating the mean value c of the power line communication signal decomposition coefficient amplitudemean
Solving the mean square error sigma of the power line communication signal decomposition coefficient amplitude;
determining a power line communication signal decomposition coefficient threshold value tau: τ ═ cmean+0.712*σ。
Further, the decomposition coefficient for filtering noise is expressed as:
Figure BDA00017709237700000318
wherein the content of the first and second substances,
Figure BDA00017709237700000319
is a decomposition coefficient for filtering noise, and represents a decomposition coefficient of the power line communication signal after the noise has been filtered; | indicates the amplitude of the extracted |.
Further, the generating a noise-free power line communication signal sequence by using the obtained noise-filtered decomposition coefficient includes:
according to the obtained decomposition coefficient of the filtered noise
Figure BDA00017709237700000320
By the formula
Figure BDA00017709237700000321
Obtaining a noise-free power line communication signal
Figure BDA00017709237700000322
According to the obtained noiseless electricityForce line communication signal
Figure BDA00017709237700000323
Constructing new signal matrix
Figure BDA0001770923770000041
The obtained signal matrix
Figure BDA0001770923770000042
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 N data in the front are intercepted to form a data sequence, and the data sequence is a noiseless power line communication signal sequence.
Further, the signal matrix
Figure BDA0001770923770000043
Expressed as:
Figure BDA0001770923770000044
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; determining a power line communication signal decomposition coefficient threshold according to the solved power line communication signal decomposition coefficient; judging whether the amplitude of the solved power line communication signal decomposition coefficient is larger than or equal to a power line communication signal decomposition coefficient threshold value or not, if so, taking the decomposition coefficient for filtering noise as the solved power line communication signal decomposition coefficient, and otherwise, taking the decomposition coefficient for filtering noise as a preset value; the obtained decomposition coefficient for filtering the noise is utilized to generate a noiseless power line communication signal sequence, so that the pulse noise in the power line communication signal is effectively and quickly filtered, but the high-fidelity function is realized on the useful signal, the distortion of the useful signal is not caused, and the performance of a power line communication system is improved.
Drawings
Fig. 1 is a schematic flowchart of a power line communication signal filtering method according to an embodiment of the present invention;
fig. 2 is a detailed flowchart of a power line communication signal filtering 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 filtering method for a power line communication signal, aiming at the problem that the existing low-pass filter cannot effectively filter out pulse noise in the power line communication signal.
As shown in fig. 1, a method for filtering a power line communication signal according to an embodiment of the present invention
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, determining a power line communication signal decomposition coefficient threshold value according to the solved power line communication signal decomposition coefficient;
s104, judging whether the amplitude of the solved power line communication signal decomposition coefficient is larger than or equal to a power line communication signal decomposition coefficient threshold value, if so, taking the decomposition coefficient for filtering noise as the solved power line communication signal decomposition coefficient, and otherwise, taking the decomposition coefficient for filtering noise as a preset value;
and S105, generating a noiseless power line communication signal sequence by using the obtained decomposition coefficient of the filtered noise.
The filtering method of the power line communication signal, provided by the embodiment of the invention, is used for 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; determining a power line communication signal decomposition coefficient threshold according to the solved power line communication signal decomposition coefficient; judging whether the amplitude of the solved power line communication signal decomposition coefficient is larger than or equal to a power line communication signal decomposition coefficient threshold value or not, if so, taking the decomposition coefficient for filtering noise as the solved power line communication signal decomposition coefficient, and otherwise, taking the decomposition coefficient for filtering noise as a preset value; the obtained decomposition coefficient for filtering the noise is utilized to generate a noiseless power line communication signal sequence, so that the pulse noise in the power line communication signal is effectively and quickly filtered, but the high-fidelity function is realized on the useful signal, the distortion of the useful signal is not caused, and the performance of a power line communication system is improved.
In order to better understand the power line communication signal filtering method according to the embodiment of the present invention, the power line communication signal filtering method is described in detail, as shown in fig. 2, the power line communication signal filtering 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,
Figure BDA0001770923770000051
wherein, the symbol
Figure BDA0001770923770000052
Meaning that the upper rounding, for example,
Figure BDA0001770923770000053
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
Figure BDA0001770923770000061
A3, signal matrix
Figure BDA0001770923770000062
Conversion to two-dimensional signals
Figure BDA0001770923770000063
Figure BDA0001770923770000064
nr=1,2,…,NR
nc=1,2,…,NC
Wherein the content of the first and second substances,
Figure BDA0001770923770000065
representing a signal matrix
Figure BDA0001770923770000066
N of (2)rLine, n-thcColumn elements.
A4, for two-dimensional signals
Figure BDA0001770923770000067
Is decomposed
By the formula
Figure BDA0001770923770000068
To twoDimension signal
Figure BDA0001770923770000069
To carry out
Decomposing to obtain decomposition coefficient of power line communication signal
Figure BDA00017709237700000610
Wherein the content of the first and second substances,
Figure BDA00017709237700000611
represents a power line communication signal transformation operator,
Figure BDA00017709237700000612
operator for representing power line communication signal transformation
Figure BDA00017709237700000613
The conjugate of (a) to (b),
Figure BDA00017709237700000614
representing a parameter.
In this embodiment, the power line communication signal transformation operator
Figure BDA00017709237700000615
The calculation formula of (2) is as follows:
Figure BDA00017709237700000616
wherein the content of the first and second substances,
Figure BDA00017709237700000617
is composed of
Figure BDA00017709237700000618
Weight function in the domain, argument being
Figure BDA00017709237700000619
A gaussian function may be selected in general;
Figure BDA00017709237700000620
is composed of
Figure BDA00017709237700000621
Weight function in the domain, argument being
Figure BDA00017709237700000622
The superscript i denotes the imaginary unit whose square is equal to-1.
A5, determining a power line communication signal decomposition coefficient threshold, wherein the specific steps may include:
a51, obtaining a mean value c of the decomposition coefficient amplitude of the power line communication signalmean
A52, solving the mean square error sigma of the amplitude of the power line communication signal decomposition coefficient;
a53, determining a power line communication signal decomposition coefficient threshold value tau: τ ═ cmean+0.712*σ。
A6, determining the decomposition coefficient for filtering noise
Figure BDA00017709237700000623
Wherein the content of the first and second substances,
Figure BDA00017709237700000624
is a decomposition coefficient for filtering noise, and represents a decomposition coefficient of the power line communication signal after the noise has been filtered; | indicates the amplitude of the extracted |.
A7, obtaining new power line communication signal
A71, the obtained decomposition coefficient for filtering noise
Figure BDA0001770923770000071
The power line communication signal corresponding to the decomposition coefficient sequence is the required noiseless power line communication signal. Specifically, the method comprises the following steps:
according to the obtained decomposition coefficient of the filtered noise
Figure BDA0001770923770000072
By the formula
Figure BDA0001770923770000073
Obtaining a noise-free power line communication signal
Figure BDA0001770923770000074
A72, constructing a new power line communication signal matrix
Figure BDA0001770923770000075
Obtained by
Figure BDA0001770923770000076
As a new signal matrix
Figure BDA0001770923770000077
N of (2)rLine, n-thcThe column elements, namely:
Figure BDA0001770923770000078
a8, rearranging data to obtain a noiseless power line communication signal sequence
The obtained signal matrix
Figure BDA0001770923770000079
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 N data in the front are intercepted to form a data sequence, and the data sequence is a noiseless power line communication signal sequence.
The filtering method for the power line communication signals can effectively filter out pulse noise in the power line communication signals. After the noise is filtered, the signal-to-noise ratio of the PLC signal can be improved by about 3 dB.
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 method for filtering a power line communication signal, 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;
determining a power line communication signal decomposition coefficient threshold according to the solved power line communication signal decomposition coefficient;
judging whether the amplitude of the solved power line communication signal decomposition coefficient is larger than or equal to a power line communication signal decomposition coefficient threshold value or not, if so, taking the decomposition coefficient for filtering noise as the solved power line communication signal decomposition coefficient, and otherwise, taking the decomposition coefficient for filtering noise as a preset value;
generating a noiseless power line communication signal sequence by using the obtained decomposition coefficient for filtering the noise;
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:
according toThe sequence of the plc signal sequences P (1), P (2), …, P (N) is to divide the plc signal sequences P (1), P (2), …, P (N) into NRSegments, each segment containing NCThe number of the data is one,
Figure FDA0003014494240000011
wherein, the symbol
Figure FDA0003014494240000012
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
Figure FDA0003014494240000013
Wherein, the two-dimensional signal obtained after conversion is:
Figure FDA0003014494240000014
nr=1,2,…,NR
nc=1,2,…,NC
wherein the content of the first and second substances,
Figure FDA0003014494240000015
a two-dimensional signal is represented by,
Figure FDA0003014494240000016
representing a signal matrix
Figure FDA0003014494240000017
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
Figure FDA0003014494240000021
Decomposing the two-dimensional signal to obtain a power line communication signal decomposition coefficient
Figure FDA0003014494240000022
Wherein the content of the first and second substances,
Figure FDA0003014494240000023
represents a power line communication signal transformation operator,
Figure FDA0003014494240000024
operator for representing power line communication signal transformation
Figure FDA0003014494240000025
The conjugate of (a) to (b),
Figure FDA0003014494240000026
representing a parameter;
wherein the power line communication signal transformation operator
Figure FDA0003014494240000027
The calculation formula of (2) is as follows:
Figure FDA0003014494240000028
wherein the content of the first and second substances,
Figure FDA0003014494240000029
is composed of
Figure FDA00030144942400000210
Weight function in the domain, argument being
Figure FDA00030144942400000211
Figure FDA00030144942400000212
Is composed of
Figure FDA00030144942400000213
Weight function in the domain, argument being
Figure FDA00030144942400000214
Superscript i represents the imaginary unit;
wherein, the determining the power line communication signal decomposition coefficient threshold value according to the solved power line communication signal decomposition coefficient comprises:
calculating the mean value c of the power line communication signal decomposition coefficient amplitudemean
Solving the mean square error sigma of the power line communication signal decomposition coefficient amplitude;
determining a power line communication signal decomposition coefficient threshold value tau: τ ═ cmean+0.712*σ;
Wherein the decomposition coefficient for filtering noise is expressed as:
Figure FDA00030144942400000215
wherein the content of the first and second substances,
Figure FDA00030144942400000216
is a decomposition coefficient for filtering noise, and represents a decomposition coefficient of the power line communication signal after the noise has been filtered; | indicates the amplitude of the extracted |;
wherein, the generating a power line communication signal sequence without noise by using the obtained decomposition coefficient of the filtered noise comprises:
according to the obtained decomposition coefficient of the filtered noise
Figure FDA00030144942400000217
By the formula
Figure FDA00030144942400000218
Obtaining a noise-free power line communication signal
Figure FDA00030144942400000219
Based on the obtained noiseless power line communication signal
Figure FDA00030144942400000220
Constructing new signal matrix
Figure FDA00030144942400000221
The obtained signal matrix
Figure FDA00030144942400000222
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 front N data to form a data sequence, wherein the data sequence is a noiseless power line communication signal sequence;
wherein the signal matrix
Figure FDA0003014494240000031
Expressed as:
Figure FDA0003014494240000032
CN201810948674.2A 2018-08-20 2018-08-20 Power line communication signal filtering method Active CN109039379B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810948674.2A CN109039379B (en) 2018-08-20 2018-08-20 Power line communication signal filtering method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810948674.2A CN109039379B (en) 2018-08-20 2018-08-20 Power line communication signal filtering method

Publications (2)

Publication Number Publication Date
CN109039379A CN109039379A (en) 2018-12-18
CN109039379B true CN109039379B (en) 2021-06-11

Family

ID=64632079

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810948674.2A Active CN109039379B (en) 2018-08-20 2018-08-20 Power line communication signal filtering method

Country Status (1)

Country Link
CN (1) CN109039379B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110299933A (en) * 2019-06-29 2019-10-01 广东石油化工学院 A kind of PLC signal filtering method and system based on signal expression
CN110705426B (en) * 2019-09-25 2021-09-21 广东石油化工学院 Power signal filtering method and system by using deblurring operator

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020907A (en) * 2012-12-04 2013-04-03 上海交通大学 DSPI (digital speckle pattern interferometry) fringe filtering system based on BEEMD (bidimensional ensemble empirical mode decomposition)
CN103398295A (en) * 2013-07-04 2013-11-20 东北大学 Device and method for compressing pipeline magnet leakage signal data
CN105245240A (en) * 2015-10-23 2016-01-13 国家电网公司 Power microwave communication system wavelet noise reduction method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9998174B2 (en) * 2016-10-18 2018-06-12 Ikanos Communications, Inc. Power line communication interference probing and measurement on digital subscriber lines

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103020907A (en) * 2012-12-04 2013-04-03 上海交通大学 DSPI (digital speckle pattern interferometry) fringe filtering system based on BEEMD (bidimensional ensemble empirical mode decomposition)
CN103398295A (en) * 2013-07-04 2013-11-20 东北大学 Device and method for compressing pipeline magnet leakage signal data
CN105245240A (en) * 2015-10-23 2016-01-13 国家电网公司 Power microwave communication system wavelet noise reduction method

Also Published As

Publication number Publication date
CN109039379A (en) 2018-12-18

Similar Documents

Publication Publication Date Title
CN108880621B (en) Adaptive filtering method for power line communication signals
CN109257068B (en) Adaptive filtering method for power line communication signals
CN109257069B (en) Adaptive filtering method for power line communication signals
CN102098025B (en) Design method and design device for cascade filter
CN107359905B (en) Digital front end and frame detection method for frequency division power line carrier communication
CN105356886B (en) Power line noise compression method and device based on compressed sensing
CN109039379B (en) Power line communication signal filtering method
CN111711470B (en) Broadband power line carrier communication implementation method and device
CN108123724B (en) Communication system based on short wave narrow-band waveform
CN110336591B (en) PLC signal filtering method and system by utilizing signal separation
CN109150245B (en) Method and system for filtering nonstationary and non-Gaussian noise in PLC communication signal
CN111641435A (en) PLC signal filtering method and system utilizing Fenchel conjugation
CN108880620B (en) Power line communication signal reconstruction method
CN109309513B (en) Adaptive reconstruction method for power line communication signals
CN111934716B (en) Power line communication signal filtering method and system
CN112491448B (en) Power line carrier communication frequency band selection method and device based on D4 wavelet and computer readable storage medium
CN111541635A (en) PLC signal filtering method and system using t distribution
CN111641434A (en) PLC signal filtering method and system using complete vector
CN111800165A (en) PLC signal filtering method and system using singular value matrix
Saber et al. On the Multiple Access Technique for 5G Wireless Networks
CN104935534A (en) Channel estimation method and device based on demodulation reference signal
Sheng-en et al. Subband processing based symbol-rate estimation method for MFSK signal
CN112383326B (en) PLC signal filtering method and system using spectral mode threshold
CN112165342B (en) Noise detection method and system by using mode feature vector
CN116032310B (en) Signal self-adaptive detection reconstruction method based on channelized filtering

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