CN112104392A - PLC channel impulse noise detection method and system using state matrix - Google Patents
PLC channel impulse noise detection method and system using state matrix Download PDFInfo
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Abstract
The embodiment of the invention discloses a PLC channel impulse noise detection method and a system by using a state matrix, wherein the method comprises the following steps: step 101, acquiring a signal sequence S acquired according to a time sequence; 102, acquiring a pulse noise type sample matrix B through actual investigation; step 103, solving a feature vector p; step 104 of obtaining candidate impulse noise event vector e and candidate state matrix alpha*(ii) a Step 105, obtaining a state matrix alpha; step 106 determines impulse noise.
Description
Technical Field
The invention relates to the field of communication, in particular to a method and a system for detecting pulse noise of a PLC channel.
Background
Compared with various wired communication technologies, the power line communication has the advantages of no need of rewiring, easiness in networking and the like, and has wide application prospect. The power line communication technology is divided into narrowband power line communication (NPL) and broadband power line communication (BPL); the narrow-band power line communication refers to a power line carrier communication technology with the bandwidth limited between 3k and 500 kHz; the power line communication technology includes a prescribed bandwidth (3148.5kHz) of european CENELEC, a prescribed bandwidth (9490kHz) of the Federal Communications Commission (FCC) in the united states, a prescribed bandwidth (9450kHz) of the japan wireless industry and business Association (ARIB), and a prescribed bandwidth (3500kHz) of china. The narrow-band power line communication technology mainly 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 a bandwidth limited between 1.630MHz and a communication rate generally above 1Mbps, and adopts various spread spectrum communication technologies with OFDM as a core.
Although power line communication systems are widely used and the technology is relatively mature, a large number of branches and electrical devices in the power line communication system generate a large amount of noise in the power line channel; random impulse noise has high randomness and high noise intensity, and seriously damages a power line communication system, so that the technology for inhibiting the random impulse noise is always the key point for the research of scholars at home and abroad; and the noise model does not fit into a gaussian distribution. Therefore, the traditional communication system designed aiming at the gaussian noise is not suitable for a power line carrier communication system any more, and a corresponding noise suppression technology must be researched to improve the signal-to-noise ratio of the power line communication system, reduce the bit error rate and ensure the quality of the power line communication system. In practical applications, some simple non-linear techniques are often applied to eliminate power line channel noise, such as Clipping, Blanking and Clipping/Blanking techniques, but these research methods must work well under a certain signal-to-noise ratio, and only the elimination of impulse noise is considered, in the power line communication system, some commercial power line transmitters are characterized by low transmission power, and in some special cases, the transmission power may be even lower than 18w, so that in some special cases, the signal will be submerged in a large amount of noise, resulting in a low signal-to-noise ratio condition of the power line communication system.
Disclosure of Invention
With the application and popularization of nonlinear electrical appliances, background noise in a medium and low voltage power transmission and distribution network presents obvious non-stationarity and non-Gaussian characteristics, pulse noise becomes more common and more serious, and to filter the pulse noise, the pulse noise is detected first, and then corresponding measures can be further taken, but the existing method and system lack sufficient attention on the detection of the pulse noise.
The invention aims to provide a PLC channel impulse noise detection method and a PLC channel impulse noise detection system using a state matrix. The method has better robustness and simpler calculation.
In order to achieve the purpose, the invention provides the following scheme:
a PLC channel impulse noise detection method using a state matrix comprises the following steps:
step 101, acquiring a signal sequence S acquired according to a time sequence;
step 102, obtaining an impulse noise type sample matrix B through actual investigation, specifically: the ith row and the jth column of the impulse noise type sample matrix B have BijA j-th sampling value representing impulse noise belonging to an i-th type;
wherein:
i represents the serial number of impulse noise type, and the value range is i ═ 1,2, ·, Ni
j represents the sample number with the value range of j ═ 1,2, ·, N
N is the length of the signal sequence S;
Nithe total number of impulse noise types;
step 103, solving a feature vector p, specifically: the ith element of the feature vector p is piAnd expressing the characteristic value of the impulse noise of the type i, and the calculation formula is as follows:
wherein:
k ═ 1,2, ·, N: the sequence number of the differential characteristic value;
*: representing any independent variable
If the element serial number j is less than or equal to 0, setting the element serial number to be 1;
if the element serial number j is more than or equal to N, setting the element serial number as N;
step 104 of obtaining candidate impulse noise event vector e and candidate state matrix alpha*The method specifically comprises the following steps:
e=[em]1×N
wherein:
the mth element of the candidate impulse noise event vector e is emThe calculation method comprises the following steps: at all less than or equal toOf said characteristic value piTo select the maximum value pqAnd order em=q;
z is a first summation parameter;
the candidate state matrix α*The row o and column m elements ofThe calculation formula is as follows:
m=1,2,···,NE: candidate impulse noise event sequence numbers
sl: the l-th element of the signal sequence S
l: second sum parameter
If the element serial number l is less than or equal to 0, setting the element serial number to be 1;
if the element serial number l is larger than or equal to N, setting the element serial number as N;
m0: mean value of the signal sequence S
o=1,2,···,Ni: impulse noise type serial number
Step 105, obtaining a state matrix α, specifically: the element of the o row and the u column of the state matrix alpha is alphao,uThe calculation method comprises the following steps: at αo,uOf the possible two values 0,1, the formula is chosen such thatIs taken as ao,uA value of (d);
wherein:
po: eigenvalues of type o impulse noise
pq: eigenvalues of type q impulse noise
q=1,2,···,Ni: impulse noise type number;
u is a third summation parameter;
step 106, determining the impulse noise, specifically: for the ith row and jth column element α in the state matrix αijIf α isij1, then that impulse noise of type i is present at data point j; if α isij0 indicates that at data point j, impulse noise of type i is not present.
A PLC channel impulse noise detection system using a state matrix, comprising:
the module 201 acquires a signal sequence S acquired in time sequence;
the module 202 obtains an impulse noise type sample matrix B through actual investigation, specifically: the ith row and the jth column of the impulse noise type sample matrix B have BijA j-th sampling value representing impulse noise belonging to an i-th type;
wherein:
i represents the serial number of impulse noise type, and the value range is i ═ 1,2, ·, Ni
j represents the sample number with the value range of j ═ 1,2, ·, N
N is the length of the signal sequence S;
Nithe total number of impulse noise types;
the module 203 calculates a feature vector p, specifically: the ith element of the feature vector p is piAnd expressing the characteristic value of the impulse noise of the type i, and the calculation formula is as follows:
wherein:
k ═ 1,2, ·, N: the sequence number of the differential characteristic value;
*: representing any independent variable
If the element serial number j is less than or equal to 0, setting the element serial number to be 1;
if the element serial number j is more than or equal to N, setting the element serial number as N;
module 204 finds candidate impulse noise event vector e and candidate state matrix α*The method specifically comprises the following steps:
e=[em]1×N
wherein:
the mth element of the candidate impulse noise event vector e is emThe calculation method comprises the following steps: at all less than or equal toOf said characteristic value piTo select the maximum value pqAnd order em=q;
z is a first summation parameter;
the candidate state matrix α*The row o and column m elements ofThe calculation formula is as follows:
m=1,2,···,NE: candidate impulse noise event sequence numbers
sl: the l-th element of the signal sequence S
l: second sum parameter
If the element serial number l is less than or equal to 0, setting the element serial number to be 1;
if the element serial number l is larger than or equal to N, setting the element serial number as N;
m0: mean value of the signal sequence S
o=1,2,···,Ni: impulse noise type serial number
The module 205 calculates a state matrix α, specifically: the element of the o row and the u column of the state matrix alpha is alphao,uThe calculation method comprises the following steps: at αo,uOf the possible two values 0,1, the formula is chosen such thatIs taken as ao,uA value of (d);
wherein:
po: eigenvalues of type o impulse noise
pq: eigenvalues of type q impulse noise
q=1,2,···,Ni: impulse noise type number;
u is a third summation parameter;
the module 206 determines impulse noise, specifically: for the ith row and jth column element α in the state matrix αijIf α isij1, then that impulse noise of type i is present at data point j; if α isij0 indicates that at data point j, impulse noise of type i is not present.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
with the application and popularization of nonlinear electrical appliances, background noise in a medium and low voltage power transmission and distribution network presents obvious non-stationarity and non-Gaussian characteristics, pulse noise becomes more common and more serious, and to filter the pulse noise, the pulse noise is detected first, and then corresponding measures can be further taken, but the existing method and system lack sufficient attention on the detection of the pulse noise.
The invention aims to provide a PLC channel impulse noise detection method and a PLC channel impulse noise detection system using a state matrix. The method has better robustness and simpler calculation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a schematic flow chart of the system of the present invention;
FIG. 3 is a flow chart illustrating an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
FIG. 1 is a schematic flow chart of a PLC channel impulse noise detection method using a state matrix
Fig. 1 is a schematic flow chart of a PLC channel impulse noise detection method using a state matrix according to the present invention. As shown in fig. 1, the method for detecting impulse noise of a PLC channel using a state matrix specifically includes the following steps:
step 101, acquiring a signal sequence S acquired according to a time sequence;
step 102, obtaining an impulse noise type sample matrix B through actual investigation, specifically: the ith row and the jth column of the impulse noise type sample matrix B have BijA j-th sampling value representing impulse noise belonging to an i-th type;
wherein:
i represents the serial number of impulse noise type, and the value range is i ═ 1,2, ·, Ni
j represents the sample number with the value range of j ═ 1,2, ·, N
N is the length of the signal sequence S;
Nithe total number of impulse noise types;
step 103, solving a feature vector p, specifically: the ith element of the feature vector p is piAnd expressing the characteristic value of the impulse noise of the type i, and the calculation formula is as follows:
wherein:
k ═ 1,2, ·, N: the sequence number of the differential characteristic value;
*: representing any independent variable
If the element serial number j is less than or equal to 0, setting the element serial number to be 1;
if the element serial number j is more than or equal to N, setting the element serial number as N;
step 104 of obtaining candidate impulse noise event vector e and candidate state matrix alpha*The method specifically comprises the following steps:
e=[em]1×N
wherein:
the mth element of the candidate impulse noise event vector e is emThe calculation method comprises the following steps: at all less than or equal toOf said characteristic value piTo select the maximum value pqAnd order em=q;
z is a first summation parameter;
the above-mentionedCandidate state matrix alpha*The row o and column m elements ofThe calculation formula is as follows:
m=1,2,···,NE: candidate impulse noise event sequence numbers
sl: the l-th element of the signal sequence S
l: second sum parameter
If the element serial number l is less than or equal to 0, setting the element serial number to be 1;
if the element serial number l is larger than or equal to N, setting the element serial number as N;
m0: mean value of the signal sequence S
o=1,2,···,Ni: impulse noise type serial number
Step 105, obtaining a state matrix α, specifically: the element of the o row and the u column of the state matrix alpha is alphao,uThe calculation method comprises the following steps: at αo,uOf the possible two values 0,1, the formula is chosen such thatIs taken as ao,uA value of (d);
wherein:
po: eigenvalues of type o impulse noise
pq: eigenvalues of type q impulse noise
q=1,2,···,Ni: impulse noise type number;
u is a third summation parameter;
step 106, determining the impulse noise, specifically: for the ith row and jth column element α in the state matrix αijIf α isij1, then that impulse noise of type i is present at data point j; if α isij0 indicates that at data point j, impulse noise of type i is not present.
FIG. 2 is a structural view of a PLC channel impulse noise detection system using a state matrix
Fig. 2 is a schematic structural diagram of a PLC channel impulse noise detection system using a state matrix according to the present invention. As shown in fig. 2, the PLC channel impulse noise detection system using a state matrix includes the following structures:
the module 201 acquires a signal sequence S acquired in time sequence;
the module 202 obtains an impulse noise type sample matrix B through actual investigation, specifically: the ith row and the jth column of the impulse noise type sample matrix B have BijA j-th sampling value representing impulse noise belonging to an i-th type;
wherein:
i represents the serial number of impulse noise type, and the value range is i ═ 1,2, ·, Ni
j represents the sample number with the value range of j ═ 1,2, ·, N
N is the length of the signal sequence S;
Nithe total number of impulse noise types;
module 203 finds feature vectorsp, specifically: the ith element of the feature vector p is piAnd expressing the characteristic value of the impulse noise of the type i, and the calculation formula is as follows:
wherein:
k ═ 1,2, ·, N: the sequence number of the differential characteristic value;
*: representing any independent variable
If the element serial number j is less than or equal to 0, setting the element serial number to be 1;
if the element serial number j is more than or equal to N, setting the element serial number as N;
module 204 finds candidate impulse noise event vector e and candidate state matrix α*The method specifically comprises the following steps:
e=[em]1×N
wherein:
mth element of the candidate impulse noise event vector eIs emThe calculation method comprises the following steps: at all less than or equal toOf said characteristic value piTo select the maximum value pqAnd order em=q;
z is a first summation parameter;
the candidate state matrix α*The row o and column m elements ofThe calculation formula is as follows:
m=1,2,···,NE: candidate impulse noise event sequence numbers
sl: the l-th element of the signal sequence S
l: second sum parameter
If the element serial number l is less than or equal to 0, setting the element serial number to be 1;
if the element serial number l is larger than or equal to N, setting the element serial number as N;
m0: mean value of the signal sequence S
o=1,2,···,Ni: impulse noise type serial number
The module 205 calculates a state matrix α, specifically: the element of the o row and the u column of the state matrix alpha is alphao,uThe calculation method comprises the following steps: at αo,uOf the possible two values 0,1, the formula is chosen such thatIs taken as ao,uA value of (d);
wherein:
po: eigenvalues of type o impulse noise
pq: eigenvalues of type q impulse noise
q=1,2,···,Ni: impulse noise type number;
u is a third summation parameter;
the module 206 determines impulse noise, specifically: for the ith row and jth column element α in the state matrix αijIf α isij1, then that impulse noise of type i is present at data point j; if α isij0 indicates that at data point j, impulse noise of type i is not present.
The following provides an embodiment for further illustrating the invention
FIG. 3 is a flow chart illustrating an embodiment of the present invention. As shown in fig. 3, the method specifically includes the following steps:
step 301, acquiring a signal sequence S acquired according to a time sequence;
step 302, obtaining an impulse noise type sample matrix B through actual investigation, specifically: the ith row and the jth column of the impulse noise type sample matrix B have BijA j-th sampling value representing impulse noise belonging to an i-th type;
wherein:
i represents the serial number of impulse noise type, and the value range is i ═ 1,2, ·, Ni
j represents the sample number with the value range of j ═ 1,2, ·, N
N is the length of the signal sequence S;
Nithe total number of impulse noise types;
step 303, obtaining a feature vector p, specifically: the ith element of the feature vector p is piAnd expressing the characteristic value of the impulse noise of the type i, and the calculation formula is as follows:
wherein:
k ═ 1,2, ·, N: the sequence number of the differential characteristic value;
*: representing any independent variable
If the element serial number j is less than or equal to 0, setting the element serial number to be 1;
if the element serial number j is more than or equal to N, setting the element serial number as N;
step 304 finds candidate impulse noise event vector e and candidate state matrix alpha*The method specifically comprises the following steps:
e=[em]1×N
wherein:
the mth element of the candidate impulse noise event vector e is emThe calculation method comprises the following steps: at all less than or equal toOf said characteristic value piTo select the maximum value pqAnd order em=q;
z is a first summation parameter;
the candidate state matrix α*The row o and column m elements ofThe calculation formula is as follows:
m=1,2,···,NE: candidate impulse noise event sequence numbers
sl: the l-th element of the signal sequence S
l: second sum parameter
If the element serial number l is less than or equal to 0, setting the element serial number to be 1;
if the element serial number l is larger than or equal to N, setting the element serial number as N;
m0: mean value of the signal sequence S
o=1,2,···,Ni: impulse noise type serial number
Step 305 finds a state matrix α, specifically: the element of the o row and the u column of the state matrix alpha is alphao,uThe calculation method comprises the following steps: at αo,uOf the possible two values 0,1, the formula is chosen such thatIs taken as ao,uA value of (d);
wherein:
po: eigenvalues of type o impulse noise
pq: eigenvalues of type q impulse noise
q=1,2,···,Ni: impulse noise type number;
u is a third summation parameter;
step 306, determining the impulse noise, specifically: for the ith row and jth column element α in the state matrix αijIf α isij1, then that impulse noise of type i is present at data point j; if α isij0 indicates that at data point j, impulse noise of type i is not present.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is simple because the system corresponds to the method disclosed by the embodiment, and the relevant part can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (2)
1. A PLC channel impulse noise detection method using a state matrix is characterized by comprising the following steps:
step 101, acquiring a signal sequence S acquired according to a time sequence;
step 102, obtaining an impulse noise type sample matrix B through actual investigation, specifically: the ith row and the jth column of the impulse noise type sample matrix B have BijA j-th sampling value representing impulse noise belonging to an i-th type;
wherein:
i represents the serial number of impulse noise type, and the value range is i ═ 1,2, ·, Ni
j represents the sample number with the value range of j ═ 1,2, ·, N
N is the length of the signal sequence S;
Nithe total number of impulse noise types;
step 103, solving a feature vector p, specifically: the ith element of the feature vector p is piAnd expressing the characteristic value of the impulse noise of the type i, and the calculation formula is as follows:
wherein
k ═ 1,2, ·, N: the sequence number of the differential characteristic value;
*: representing any independent variable
If the element serial number j is less than or equal to 0, setting the element serial number to be 1;
if the element serial number j is more than or equal to N, setting the element serial number as N;
step 104 of obtaining candidate impulse noise event vector e and candidate state matrix alpha*The method specifically comprises the following steps:
e=[em]1×N
wherein:
the mth element of the candidate impulse noise event vector e is emThe calculation method comprises the following steps: at all less than or equal toOf said characteristic value piTo select the maximum value pqAnd order em=q;
z is a first summation parameter;
the candidate state matrix α*The row o and column m elements ofThe calculation formula is as follows:
m=1,2,···,NE: candidate impulse noise event sequence numbers
sl: the l-th element of the signal sequence S
l: second sum parameter
If the element serial number l is less than or equal to 0, setting the element serial number to be 1;
if the element serial number l is larger than or equal to N, setting the element serial number as N;
m0: mean value of the signal sequence S
o=1,2,···,Ni: impulse noise type serial number
Step 105, obtaining a state matrix α, specifically: the element of the o row and the u column of the state matrix alpha is alphao,uThe calculation method comprises the following steps: at αo,uOf the possible two values 0,1, the formula is chosen such thatIs taken as ao,uA value of (d);
wherein:
po: eigenvalues of type o impulse noise
pq: eigenvalues of type q impulse noise
q=1,2,···,Ni: impulse noise type number;
u is a third summation parameter;
step 106, determining the impulse noise, specifically: for the ith row and jth column element α in the state matrix αijIf α isij1, then that impulse noise of type i is present at data point j; if α isij0 indicates that at data point j, impulse noise of type i is not present.
2. A PLC channel impulse noise detection system using a state matrix, comprising:
the module 201 acquires a signal sequence S acquired in time sequence;
the module 202 obtains an impulse noise type sample matrix B through actual investigation, specifically: the ith row and the jth column of the impulse noise type sample matrix B have BijA j-th sampling value representing impulse noise belonging to an i-th type;
wherein:
i represents the serial number of impulse noise type, and the value range is i ═ 1,2, ·, Ni
j represents the sample number with the value range of j ═ 1,2, ·, N
N is the length of the signal sequence S;
Nithe total number of impulse noise types;
the module 203 calculates a feature vector p, specifically: the ith element of the feature vector p is piAnd expressing the characteristic value of the impulse noise of the type i, and the calculation formula is as follows:
wherein:
k ═ 1,2, ·, N: the sequence number of the differential characteristic value;
*: representing any independent variable
If the element serial number j is less than or equal to 0, setting the element serial number to be 1;
if the element serial number j is more than or equal to N, setting the element serial number as N;
module 204 finds candidate impulse noise event vector e and candidate state matrix α*The method specifically comprises the following steps:
e=[em]1×N
wherein:
the mth element of the candidate impulse noise event vector e is emThe calculation method comprises the following steps: at all less than or equal toOf said characteristic value piTo select the maximum value pqAnd order em=q;
z is a first summation parameter;
the candidate state matrix α*The row o and column m elements ofThe calculation formula is as follows:
m=1,2,···,NE: candidate impulse noise event sequence numbers
sl: the l-th element of the signal sequence S
l: second sum parameter
If the element serial number l is less than or equal to 0, setting the element serial number to be 1;
if the element serial number l is larger than or equal to N, setting the element serial number as N;
m0: mean value of the signal sequence S
o=1,2,···,Ni: impulse noise type serial number
The module 205 calculates a state matrix α, specifically: the element of the o row and the u column of the state matrix alpha is alphao,uThe calculation method comprises the following steps: at αo,uOf the possible two values 0,1, the formula is chosen such thatIs taken as ao,uA value of (d);
wherein:
po: eigenvalues of type o impulse noise
pq: eigenvalues of type q impulse noise
q=1,2,···,Ni: impulse noise type number;
u is a third summation parameter;
the module 206 determines impulse noise, specifically: for the ith row and jth column element α in the state matrix αijIf α isij1, then that impulse noise of type i is present at data point j; if α isij0 indicates that at data point j, impulse noise of type i is not present.
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CN111585542A (en) * | 2019-02-15 | 2020-08-25 | 广东石油化工学院 | Method and filter for filtering power signal impulse noise |
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