CN109981141B - Method for anti-interference processing of measurement data in cable communication measurement process - Google Patents

Method for anti-interference processing of measurement data in cable communication measurement process Download PDF

Info

Publication number
CN109981141B
CN109981141B CN201910229440.7A CN201910229440A CN109981141B CN 109981141 B CN109981141 B CN 109981141B CN 201910229440 A CN201910229440 A CN 201910229440A CN 109981141 B CN109981141 B CN 109981141B
Authority
CN
China
Prior art keywords
interference
value
data
scanning
points
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
CN201910229440.7A
Other languages
Chinese (zh)
Other versions
CN109981141A (en
Inventor
曹威艳
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.)
Nanjing Xunce Technology Co ltd
Shanghai TransCom Instruments Co Ltd
Original Assignee
Nanjing Xunce Technology Co ltd
Shanghai TransCom Instruments Co Ltd
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 Nanjing Xunce Technology Co ltd, Shanghai TransCom Instruments Co Ltd filed Critical Nanjing Xunce Technology Co ltd
Priority to CN201910229440.7A priority Critical patent/CN109981141B/en
Publication of CN109981141A publication Critical patent/CN109981141A/en
Application granted granted Critical
Publication of CN109981141B publication Critical patent/CN109981141B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/02Details
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/02Details
    • H04B3/46Monitoring; Testing
    • H04B3/487Testing crosstalk effects

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Biology (AREA)
  • Algebra (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)

Abstract

The invention relates to a method for anti-interference processing of measurement data in the cable communication measurement process, which comprises the following steps: (1) collecting data and analyzing the probability of occurrence of interference times; (2) counting the scanning times, judging whether the counted times are 3, if so, performing anti-interference processing, and continuing the step (3); otherwise, continuously counting the scanning times and continuing the step (2); (3) circulating the data, and calculating the average value and the absolute value of the difference between the average value and the data; (4) judging whether the standing-wave ratio is larger than a preset DTF standing-wave ratio anti-interference threshold value or not, and if so, performing anti-interference treatment; otherwise, the counted times are cleared, and the step (2) is continued. The method for anti-interference processing of the measurement data in the cable communication measurement process is adopted, in order to improve the reliability of information transmission of the communication system and resist various novel interferences, and the communication system is protected by the form of algorithm to be capable of accurately, real-timely and uninterruptedly transmitting information in the interference environment.

Description

Method for anti-interference processing of measurement data in cable communication measurement process
Technical Field
The invention relates to the field of wireless communication, in particular to the field of cable communication measurement, and specifically relates to a method for performing anti-interference processing on measurement data in the cable communication measurement process.
Background
With the development of national economy, wireless communication has been widely used in various fields of national economy and daily life of people, and particularly, the number of various wireless communication devices used in society has sharply increased due to rapid development of public mobile communication.
In a practical cable system, there may be a variety of factors that interfere with the accurate transmission of cable information. If the measured data is not processed, the jump of the data at a certain moment is very large due to external factors such as environment and the like or some internal factors and the like, the data does not conform to the specified data information range, and the deviation index and the error are large. Therefore, an abstract algorithm program and concrete hardware are combined based on the situation, and accurate information transmission is ensured.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method for performing anti-interference processing on measurement data in the cable communication measurement process, which meets the requirements of accuracy, real-time performance and reliability.
In order to achieve the above object, the method for performing anti-interference processing on measurement data in the cable communication measurement process of the present invention comprises:
the method for anti-interference processing of the measurement data in the cable communication measurement process is mainly characterized by comprising the following steps:
(1) collecting data and analyzing the probability of occurrence of interference times;
(2) counting the scanning times, judging whether the counted times are 3, if so, performing anti-interference processing, and continuing the step (3); otherwise, continuously counting the scanning times and continuing the step (2);
(3) circulating the data, and calculating the average value and the absolute value of the difference between the average value and the data;
(4) judging whether the standing-wave ratio is larger than a preset DTF standing-wave ratio anti-interference threshold value or not, and if so, performing anti-interference treatment; otherwise, the counted times are cleared, and the step (2) is continued.
Preferably, the anti-interference processing in step (2) and step (4) specifically includes the following steps:
(1-1) summing and calculating an average value dAvg and a variance value dVariance according to the acquired data, the number of scanning points and the number of scanning times;
(1-2) judging whether the variance value is larger than a preset variance threshold value, if so, taking the point as an interference point, and removing the interference point; otherwise, continuing the subsequent steps.
Preferably, the method further comprises the steps of:
(5) carrying out calculation and anti-interference processing again;
(6) judging whether the numerical value accumulated by the interference points is larger than a preset value or not, and if so, canceling the anti-interference processing; otherwise, continuing the step (2).
Preferably, the step (5) specifically comprises the following steps:
(5.1) calculating an average value dAvg2 and an absolute value of a difference value between the average value dAvg2 and the data according to the data subjected to anti-interference processing;
(5.2) judging whether the absolute value is larger than the DTF standing-wave ratio anti-interference threshold value or not, and if so, performing anti-interference processing again; otherwise, the counted times are cleared, and the step (2) is continued.
Preferably, the step (1) of calculating the sum specifically includes:
the sum is calculated according to the following formula:
sum=sum+s11[scantime][scanpoint];
wherein s is11[][]For the original data obtained by the measuring instrument, scanpoint is the number of scanning points, and scantime is the number of scanning times.
Preferably, the calculating the average value dAvg in the step (1) specifically comprises:
the average value dAvg was calculated according to the following formula:
dAvg=sum÷scantime;
wherein scanpoint is the number of scanning points, and sum is the calculated summation value.
Preferably, the calculating the variance value dVariance in the step (1) includes:
the variance value dVariance is calculated according to the following formula:
Figure GDA0003108861050000021
wherein s is11[][]For the original data obtained by the measuring instrument, scanpoint is the number of scanning points, scantime is the number of scanning times, and dAvg is the variance value obtained by calculation.
Preferably, the step (6) of accumulating and calculating the number of interference points specifically includes:
the number of interference points is cumulatively calculated according to the following formula:
temp=badpoint×100÷scanpoint;
wherein, badpoint is the number of interference points, scanpoint is the number of scanning points.
Preferably, the preset value in the step (6) is 15.
The method for anti-interference processing of the measured data in the cable communication measurement process is adopted, in order to improve the reliability of information transmission of the communication system and resist various novel interferences, the communication anti-interference technology is adopted, and the communication system is protected in an algorithm form to accurately, real-timely and uninterruptedly transmit information in an interference environment.
Drawings
Fig. 1 is a schematic flow chart of a method for performing interference rejection processing on measurement data in a cable communication measurement process according to the present invention.
Fig. 2 is a schematic diagram of interference rejection processing of the method for performing interference rejection processing on measurement data in a cable communication measurement process according to the present invention.
Fig. 3 is a measurement diagram illustrating a first embodiment of a method for performing interference rejection processing on measurement data in a cable communication measurement process according to the present invention.
Fig. 4 is a measurement schematic diagram of a second embodiment of the method for performing interference rejection processing on measurement data in the cable communication measurement process according to the present invention.
Detailed Description
In order to more clearly describe the technical contents of the present invention, the following further description is given in conjunction with specific embodiments.
The method for anti-interference processing of the measurement data in the cable communication measurement process based on the system comprises the following steps:
(1) collecting data and analyzing the probability of occurrence of interference times;
(2) counting the scanning times, judging whether the counted times are 3, if so, performing anti-interference processing, and continuing the step (3); otherwise, continuously counting the scanning times and continuing the step (2);
(3) circulating the data, and calculating the average value and the absolute value of the difference between the average value and the data;
(4) judging whether the standing-wave ratio is larger than a preset DTF standing-wave ratio anti-interference threshold value or not, and if so, performing anti-interference treatment; otherwise, resetting the counted times, and continuing the step (2);
(5) carrying out calculation and anti-interference processing again;
(5.1) calculating an average value dAvg2 and an absolute value of a difference value between the average value dAvg2 and the data according to the data subjected to anti-interference processing;
(5.2) judging whether the absolute value is larger than the DTF standing-wave ratio anti-interference threshold value or not, and if so, performing anti-interference processing again; otherwise, resetting the counted times, and continuing the step (2);
(6) judging whether the numerical value accumulated by the interference points is larger than a preset value or not, and if so, canceling the anti-interference processing; otherwise, continuing the step (2).
(1-1) summing and calculating an average value dAvg and a variance value dVariance according to the acquired data, the number of scanning points and the number of scanning times;
(1-2) judging whether the variance value is larger than a preset variance threshold value, if so, taking the point as an interference point, and removing the interference point; otherwise, continuing the subsequent steps.
Preferably, the step (1) of calculating the sum specifically includes:
the sum is calculated according to the following formula:
sum=sum+s11[scantime][scanpoint];
wherein s is11[][]For the original data obtained by the measuring instrument, scanpoint is the number of scanning points, and scantime is the number of scanning times.
Preferably, the calculating the average value dAvg in the step (1) specifically comprises:
the average value dAvg was calculated according to the following formula:
dAvg=sum÷scantime;
wherein scanpoint is the number of scanning points, and sum is the calculated summation value.
Preferably, the calculating the variance value dVariance in the step (1) includes:
the variance value dVariance is calculated according to the following formula:
Figure GDA0003108861050000041
wherein s is11[][]For the original data obtained by the measuring instrument, scanpoint is the number of scanning points, scantime is the number of scanning times, and dAvg is the variance value obtained by calculation.
Preferably, the step (6) of accumulating and calculating the number of interference points specifically includes:
the number of interference points is cumulatively calculated according to the following formula:
temp=badpoint×100÷scanpoint;
wherein, badpoint is the number of interference points, scanpoint is the number of scanning points.
Preferably, the preset value in the step (6) is 15.
In the specific implementation mode of the invention, the antenna feeder analyzer is mainly used for measuring, communication information is collected in the measuring process, and anti-interference processing is carried out according to the collected information and the preset maximum scanning point number of the DSP.
In cable systems, interference information is generated due to various factors, and therefore, interference resistance processing is required. The anti-interference algorithm processing is divided into two types: algorithm processing in DTF format and algorithm processing in non-DTF format. The specific process is as follows:
the original data are collected through a measuring instrument, scanning and counting are achieved through the analysis of the probability of the occurrence frequency of interference, and anti-interference processing needs to be carried out on the data every three times.
The anti-interference algorithm is realized as follows: the measuring instrument obtains the original data s11[scantime][scanpoint]Scanning point number scanpoint, scanning counting number scantime according to variance calculation, summation sum of three groups of point numbers, average dAvg of three groups of same point number, variance calculation value dVariance according to obtained average value, and anti-interference processing result s12[scanpoint]The obtained variance is further equal to the preset variance of the same point of multiple scanningAnd comparing the thresholds, namely whether the interference points are eliminated, and when the obtained variance is larger than a preset threshold, determining the interference points and eliminating the interference points.
And after the first anti-interference processing, circulating the data again, solving an average value dAvg2, taking an absolute value of the average value and the data difference value, then comparing the absolute value with a standing-wave ratio and DTF (delay tolerant function) standing-wave ratio anti-interference threshold dInterference, and if the absolute value is larger than the preset threshold, performing anti-interference processing again to further enable the measurement result to be more accurate. The algorithm is processed as follows:
(1) selecting a measurement format of an antenna feeder line, connecting a vector network to obtain an interference source, setting interference signal source information to obtain original data s11[][]Sum, relational expression 1 is as follows:
sum=sum+s11[scantime][scanpoint]… … (expression 1);
(2) from the resulting sum, averaging dAvg, relational expression 2 is as follows:
dAvg ÷ sum ÷ scantime … … (expression 2);
(3) from the mean variance dVariance, relational expression 3 is as follows:
Figure GDA0003108861050000051
(4) and comparing the obtained variance dVariance value with a preset variance threshold value of the same point scanned for multiple times, and if the variance dVariance value is greater than the preset value, performing anti-interference processing.
(5) Averaging the data subjected to anti-interference processing once, namely dAvg2, taking an absolute value from a data difference value, comparing the absolute value with a standing-wave ratio (DTF) standing-wave ratio anti-interference threshold value dInterference, and performing anti-interference processing again if the absolute value is larger than the threshold value, wherein a relational expression 4:
|dAvg2-s12[scanpoint]|>dInterference;
s12[scanpiont]=s12[scanpoint-1](ii) a … … (expression 4);
(6) in the process, the accumulated calculation of the interference point badPoint is carried out, and if the number of the points is more, the anti-interference processing is cancelled. If the relation 5 is satisfied, the anti-interference processing is cancelled:
badpoint × 100 ÷ scanpoint > 15 … … (expression 5);
now, turning on a vector network interference signal source, in the process of measuring an acquired signal, according to whether anti-interference processing is performed by a configuration switch in a configuration file generated in a program, when the switch is turned on, selecting a measurement mode, setting a frequency range wider than the vector network frequency width (500 MHZ-550 MHZ), and scanning according to the acquired interference signal, as shown in fig. 3, selecting a frequency width of 460 MHZ-600 MHZ, and a value at a frequency point of 527.2500MHZ of-30.005 dB. When the immunity switch is closed, the same parameters are measured, and the result is-3.274 dB at the 527.2500MHz frequency point, as shown in FIG. 4. By contrast, the algorithm enables the acquired signal to be closer to an accurate value and to fluctuate less.
The method for anti-interference processing of the measured data in the cable communication measurement process is adopted, in order to improve the reliability of information transmission of the communication system and resist various novel interferences, the communication anti-interference technology is adopted, and the communication system is protected in an algorithm form to accurately, real-timely and uninterruptedly transmit information in an interference environment.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.

Claims (5)

1. A method for anti-interference processing of measurement data in cable communication measurement process is characterized in that the method comprises the following steps:
(1) collecting data and analyzing the probability of occurrence of interference times;
(2) counting the scanning times, judging whether the counted times are 3, if so, performing anti-interference processing, and continuing the step (3); otherwise, continuously counting the scanning times and continuing the step (2);
(3) circulating the data, and calculating the average value and the absolute value of the difference between the average value and the data;
(4) judging whether the standing-wave ratio is larger than a preset DTF standing-wave ratio anti-interference threshold value or not, and if so, performing anti-interference treatment; otherwise, resetting the counted times, and continuing the step (2);
the anti-interference processing in the step (2) and the step (4) specifically comprises the following steps:
(1-1) summing and calculating an average value dAvg and a variance value dVariance according to the acquired data, the number of scanning points and the number of scanning times;
(1-2) judging whether the variance value is larger than a preset variance threshold value, if so, taking the point as an interference point, and removing the interference point; otherwise, continuing the subsequent steps;
the step (1-1) of calculating the summation of the collected data, the number of scanning points and the number of scanning times specifically comprises the following steps:
the sum is calculated according to the following formula:
sum=sum+s11[scantime][scanpoint];
wherein s is11[][]For original data obtained by a measuring instrument, scanpoint is the number of scanning points, and scantime is the number of scanning times;
calculating an average value dAvg in the step (1-1), specifically:
the average value dAvg was calculated according to the following formula:
dAvg=sum÷scantime;
wherein scanpoint is the number of scanning points, and sum is the calculated sum value;
in the step (1-1), the variance value dVariance is calculated, which specifically comprises:
the variance value dVariance is calculated according to the following formula:
Figure FDA0003108861040000011
wherein s is11[][]For the original data obtained by the measuring instrument, scanpoint is the number of scanning points, scantime is the number of scanning times, and dAvg is the variance value obtained by calculation.
2. The method for interference rejection of measurement data during cable communication measurement according to claim 1, wherein said method further comprises the steps of:
(5) carrying out calculation and anti-interference processing again;
(6) judging whether the numerical value accumulated by the interference points is larger than a preset value or not, and if so, canceling the anti-interference processing; otherwise, continuing the step (2).
3. The method for anti-interference processing of measurement data in cable communication measurement process according to claim 2, wherein the step (5) specifically includes the following steps:
(5.1) calculating an average value dAvg2 and an absolute value of a difference value between the average value dAvg2 and the data according to the data subjected to anti-interference processing;
(5.2) judging whether the absolute value is larger than the DTF standing-wave ratio anti-interference threshold value or not, and if so, performing anti-interference processing again; otherwise, the counted times are cleared, and the step (2) is continued.
4. The method for performing interference rejection processing on measurement data in a cable communication measurement process according to claim 2, wherein the step (6) of accumulating and calculating the number of interference points specifically comprises:
the number of interference points is cumulatively calculated according to the following formula:
temp=badpoint×100÷scanpoint;
wherein, badpoint is the number of interference points, scanpoint is the number of scanning points.
5. The method for interference rejection of measurement data during cable communication measurement according to claim 2, wherein the predetermined value in step (6) is 15.
CN201910229440.7A 2019-03-25 2019-03-25 Method for anti-interference processing of measurement data in cable communication measurement process Active CN109981141B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910229440.7A CN109981141B (en) 2019-03-25 2019-03-25 Method for anti-interference processing of measurement data in cable communication measurement process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910229440.7A CN109981141B (en) 2019-03-25 2019-03-25 Method for anti-interference processing of measurement data in cable communication measurement process

Publications (2)

Publication Number Publication Date
CN109981141A CN109981141A (en) 2019-07-05
CN109981141B true CN109981141B (en) 2021-09-24

Family

ID=67080472

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910229440.7A Active CN109981141B (en) 2019-03-25 2019-03-25 Method for anti-interference processing of measurement data in cable communication measurement process

Country Status (1)

Country Link
CN (1) CN109981141B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1296456A2 (en) * 2001-09-25 2003-03-26 Zarlink Semiconductor Limited Radio frequency tuner front end and tuner
CN103581972A (en) * 2012-08-03 2014-02-12 中国移动通信集团甘肃有限公司 Indoor distributed antenna feed system failure processing device and method
CN103596637A (en) * 2012-08-13 2014-02-19 华为技术有限公司 Antenna fault detection method and device
CN105652090A (en) * 2014-11-14 2016-06-08 上海贝尔股份有限公司 Device and method used for measuring voltage standing wave ratio
CN109150327A (en) * 2018-08-28 2019-01-04 维沃移动通信有限公司 A kind of antenna detection method, antenna detection device and mobile terminal

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7127220B2 (en) * 2002-12-23 2006-10-24 Spectrasite Communications Inc Apparatus and method to monitor and control power

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1296456A2 (en) * 2001-09-25 2003-03-26 Zarlink Semiconductor Limited Radio frequency tuner front end and tuner
CN103581972A (en) * 2012-08-03 2014-02-12 中国移动通信集团甘肃有限公司 Indoor distributed antenna feed system failure processing device and method
CN103596637A (en) * 2012-08-13 2014-02-19 华为技术有限公司 Antenna fault detection method and device
CN105652090A (en) * 2014-11-14 2016-06-08 上海贝尔股份有限公司 Device and method used for measuring voltage standing wave ratio
CN109150327A (en) * 2018-08-28 2019-01-04 维沃移动通信有限公司 A kind of antenna detection method, antenna detection device and mobile terminal

Also Published As

Publication number Publication date
CN109981141A (en) 2019-07-05

Similar Documents

Publication Publication Date Title
CN112307969B (en) Pulse signal classification identification method and device and computer equipment
CN114025379B (en) Broadband multi-signal detection method, device and equipment
CN106291487A (en) A kind of radar based on AGC voltage and echo data receives power and RCS method of estimation
CN108120875B (en) Target signal broadband detection method based on rapid spectrum template matching
CN107071788B (en) Spectrum sensing method and device in cognitive wireless network
JP2011044937A (en) Radio station identification device, radio station identification method, radio station identification program
US7916814B2 (en) Method and apparatus for real-time pulse parameter estimator
CN112019284A (en) Narrow-band signal time difference calculation method and system under low signal-to-noise ratio
CN113300986B (en) Unmanned aerial vehicle image transmission signal and hotspot signal identification method, medium and computer equipment
CN109981141B (en) Method for anti-interference processing of measurement data in cable communication measurement process
US10241188B2 (en) Method and apparatus for obtaining time of arrival TOA when mobile terminal is located
CN116931026B (en) Abnormality determination method for satellite navigation signals
CN114113943A (en) Transformer partial discharge detection system, method and equipment based on current and ultrasonic signals
CN117054998A (en) Cluster target detection method and system based on information entropy background stability
CN112285665A (en) Signal detection method and device, millimeter wave radar module, equipment and medium
CN108718223B (en) Blind spectrum sensing method for non-cooperative signals
CN114584227B (en) Automatic burst signal detection method
CN113219296B (en) Transmission line traveling wave fault data segment self-adaptive intercepting method
CN111562467B (en) Halo-starting judgment method and system based on ground synthetic electric field measurement data
CN115474228A (en) State detection method, device, terminal and storage medium
JP5252430B2 (en) Signal detection method, program, information storage medium, and sensor
CN114513226A (en) Method and device for estimating parameters of frequency hopping network station, frequency hopping monitoring equipment and storage medium
CN111385757A (en) Technology for eliminating heterogeneity of indoor positioning WiFi fingerprint database equipment
CN112763989B (en) CDIF-based jitter signal sorting method
CN111246415B (en) User scene position change judgment method

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