CN108055088B - Abnormal radio signal monitoring method and device and radio monitoring equipment - Google Patents

Abnormal radio signal monitoring method and device and radio monitoring equipment Download PDF

Info

Publication number
CN108055088B
CN108055088B CN201711153417.1A CN201711153417A CN108055088B CN 108055088 B CN108055088 B CN 108055088B CN 201711153417 A CN201711153417 A CN 201711153417A CN 108055088 B CN108055088 B CN 108055088B
Authority
CN
China
Prior art keywords
signal
frequency
preset
radio signal
radio
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
CN201711153417.1A
Other languages
Chinese (zh)
Other versions
CN108055088A (en
Inventor
杜小猛
郭彬
徐浩
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.)
Shenzhen Rongxing Industrial Development Co ltd
Original Assignee
Shenzhen Rongxing Industrial Development 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 Shenzhen Rongxing Industrial Development Co ltd filed Critical Shenzhen Rongxing Industrial Development Co ltd
Priority to CN201711153417.1A priority Critical patent/CN108055088B/en
Publication of CN108055088A publication Critical patent/CN108055088A/en
Application granted granted Critical
Publication of CN108055088B publication Critical patent/CN108055088B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing

Landscapes

  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)

Abstract

The invention is applicable to the field of radio monitoring, and provides a method and a device for monitoring abnormal radio signals and radio monitoring equipment. The method comprises the following steps: taking the level value data of the radio signal with any frequency in the preset signal level range as a total analysis source, and averagely dividing the level value data of the radio signal with any frequency in the preset signal level range into a plurality of fragment analysis sources according to the preset signal level interval; counting the occurrence times of each level in each segment analysis source to obtain the maximum occurrence times and the minimum occurrence times; calculating the ratio of the maximum occurrence number to the minimum occurrence number in each fragment analysis source; if the ratio is larger than the preset ratio, the radio signal of the corresponding frequency of the fragment analysis source with the ratio larger than the preset ratio is judged to be a trigger signal, namely an abnormal radio signal. The method can more reasonably, quickly and accurately find out the potential difference signals, is particularly important for examination room monitoring and activity guarantee, and is suitable for the future development trend of radio monitoring.

Description

Abnormal radio signal monitoring method and device and radio monitoring equipment
Technical Field
The invention belongs to the field of radio monitoring, and particularly relates to a method and a device for monitoring abnormal radio signals and radio monitoring equipment.
Background
With the development of modern communication technology, examination cheating means are continuously renewed, high-tech content is gradually brought, a specialized and integrated situation is presented, cheating and anti-cheating are carried out in a new way in a lasting way, and a traditional examination management mode is challenged. The high-tech cheating means is not only used for judicial examinations, college entrance examinations, social certificates, qualification examinations and the like, but also enters various colleges and universities, seriously damages fair and fair examination environments and brings great negative effects to the society. The high-tech cheating means in various examinations mainly utilizes radio technology to perform cheating activities. Therefore, radio monitoring for examination rooms is strengthened, and cheating activities on examinations by radio means are urgently needed, and radio management departments face new challenges and put higher requirements on radio monitoring work.
In the method for monitoring abnormal radio signals in the prior art, signal background noise in a period of time is generally collected, a statistical sample threshold in the period of time is generated, a signal real-time monitoring level is compared with a signal sample maximum value, and abnormal signals exceeding the sample are found out. However, the method for monitoring abnormal radio signals in the prior art only judges the signal difference according to the maximum value of the sample, and is not suitable for signals with large change amplitude, such as instantaneous signals, jump signals and the like.
Disclosure of Invention
The invention aims to provide a method and a device for monitoring and intervening processing of abnormal radio signals, a computer readable storage medium and radio monitoring equipment, aiming at solving the problem that the method for monitoring abnormal radio signals in the prior art only judges the signal difference according to the maximum value of a sample and is not suitable for signals with large change amplitude, such as transient signals, jump signals and the like.
In a first aspect, the present invention provides a method for monitoring an abnormal radio signal, the method including:
taking the level value data of the radio signal with any frequency in the preset signal level range as a total analysis source, and averagely dividing the level value data of the radio signal with any frequency in the preset signal level range into a plurality of fragment analysis sources according to the preset signal level interval;
counting the occurrence times of each level in each segment analysis source to obtain the maximum occurrence times and the minimum occurrence times;
calculating the ratio of the maximum occurrence number to the minimum occurrence number in each fragment analysis source;
if the ratio is larger than the preset ratio, the radio signal of the corresponding frequency of the fragment analysis source with the ratio larger than the preset ratio is judged to be a trigger signal, namely an abnormal radio signal.
In a second aspect, the present invention provides an abnormal radio signal monitoring apparatus, comprising:
the segment analysis source dividing module is used for taking the level value data of the radio signal with any frequency in the preset signal level range as a total analysis source and averagely dividing the level value data of the radio signal with any frequency in the preset signal level range into a plurality of segment analysis sources according to preset signal level intervals;
the statistical module is used for counting the occurrence times of each level in each segment analysis source to obtain the maximum occurrence times and the minimum occurrence times;
the calculation module is used for calculating the ratio of the maximum occurrence frequency to the minimum occurrence frequency in each fragment analysis source;
and the judging module is used for judging that the radio signal with the corresponding frequency of the fragment analysis source with the specific value larger than the preset specific value is a trigger signal, namely an abnormal radio signal, if the specific value is larger than the preset specific value.
In a third aspect, the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the abnormal radio signal monitoring method as described above.
In a fourth aspect, the present invention provides a radio monitoring device comprising:
one or more processors;
a memory; and
one or more computer programs, wherein said one or more computer programs are stored in said memory and configured to be executed by said one or more processors, characterized in that said processors, when executing said computer programs, implement the steps of the method for monitoring abnormal radio signals as described above.
In a fifth aspect, the present invention provides a method for intervention processing of an abnormal radio signal, the method comprising:
when the abnormal radio signals judged by the monitoring method of the abnormal radio signals are subjected to intervention processing, the main frequency signals of the abnormal radio signals are taken as the center, and the channels with the left and right step lengths of the main frequency signals are processed as the same signals after being intelligently legal;
and increasing the sample threshold value of each frequency point.
In a sixth aspect, the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method for intervention processing of an abnormal radio signal as described above.
In a seventh aspect, the present invention provides a radio monitoring device, comprising:
one or more processors;
a memory; and
one or more computer programs, wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, which when executing the computer programs implement the steps of the method of intervention processing of an abnormal radio signal as described above.
In the invention, level value data of the radio signal with any frequency in a preset signal level range is averagely divided into a plurality of fragment analysis sources according to preset signal level intervals; and judging that the radio signal of the corresponding frequency of the fragment analysis source with the ratio of the maximum occurrence frequency to the minimum occurrence frequency in each fragment analysis source larger than a preset ratio is a trigger signal, namely an abnormal radio signal. Therefore, the spectrum signals are analyzed in an all-round mode, the single and complex logic of the original scanning analysis is simplified, potential difference signals are found out more reasonably, quickly and accurately, automatic monitoring and intervention on the signals are achieved, the accuracy of signal samples is improved, abnormal signals can be screened quickly, the real-time performance of signal processing is improved, the method is particularly important for examination room monitoring and activity guarantee, and the method is suitable for the future development trend of radio monitoring.
Drawings
Fig. 1 is a flowchart of a method for monitoring an abnormal radio signal according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of abnormal radio signal level distribution according to a first embodiment of the present invention.
Fig. 3 is a functional block diagram of an abnormal radio signal monitoring apparatus according to a second embodiment of the present invention.
Fig. 4 is a block diagram of a detailed structure of a radio monitoring device according to a fourth embodiment of the present invention.
Fig. 5 is a flowchart of an intervention processing method for an abnormal radio signal according to a fifth embodiment of the present invention.
Fig. 6 is a schematic diagram of signal spectrum monitoring according to a fifth embodiment of the present invention.
Fig. 7 is a specific structural block diagram of a radio monitoring device according to a seventh embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
The first embodiment is as follows:
referring to fig. 1, a method for monitoring an abnormal radio signal according to an embodiment of the present invention includes the following steps: it should be noted that, if the result is substantially the same, the abnormal radio signal monitoring method of the present invention is not limited to the flow sequence shown in fig. 1.
S101, taking level value data of the radio signal with any frequency in a preset signal level range as a total analysis source, and averagely dividing the level value data of the radio signal with any frequency in the preset signal level range into a plurality of fragment analysis sources according to preset signal level intervals;
for example, the preset signal level range is-30 to 120dbuv, the preset signal level interval is 10, that is, 150 data are used as a total analysis source, a preset number of data are taken as a segment analysis source according to the level sequence from large to small for the level value data of the radio signal with any frequency in the preset signal level range, the level value data of the radio signal with any frequency in the preset signal level range are averagely divided into a plurality of segment analysis sources according to the preset signal level interval, for example, 10 data are taken as a segment analysis source according to the sequence from large to small for 150 data, and 150 data are averagely divided into 15 segment analysis sources. As shown in the table below.
Level of electricity Number of occurrences Probability of occurrence
120 0 0%
119 0 0%
。。。 。。。 。。。
50 3 0.1%
。。。 。。。 。。。
40 30 1%
。。。 。。。 。。。
10 100 3%
。。。 。。。 。。。
-30 0 0%
S102, counting the occurrence frequency of each level in each segment analysis source to obtain the maximum occurrence frequency and the minimum occurrence frequency.
S103, calculating the ratio of the maximum occurrence number to the minimum occurrence number in each fragment analysis source.
And S104, if the ratio is larger than the preset ratio, judging that the radio signal with the frequency corresponding to the fragment analysis source with the ratio larger than the preset ratio is a trigger signal, namely an abnormal radio signal.
For example, if the preset ratio is 10, the ratio between the maximum occurrence number and the minimum occurrence number in the segment analysis source (50,40) is 30/3> -10, and the radio signal of the frequency corresponding to the segment analysis source (50,40) is determined as the trigger signal.
The trigger signals take the level as the ordinate and the occurrence frequency as the abscissa, the trigger signals form S-shaped regular distribution in two dimensions, and the trigger signals are abnormal radio signals with high probability. As shown in fig. 2, the entire level dynamic range is divided into several intervals: [ -30, -10]: a noise floor area in a no-signal state; [ -10,10]: a normal signal area, wherein the signal is in a normal transmitting state; [10,30]: a jump region to which a signal falls when switching between normal and triggered; [30,40]: and in the trigger area, the signal is rapidly triggered from a normal state to a strong emission state.
In the first embodiment of the present invention, before S101, the method may further include the following steps:
a signal template is created that includes reference samples of a frequency spectrum in the signal.
After S103, if the ratio of the maximum occurrence number to the minimum occurrence number of all the fragmentation analysis sources is smaller than the preset ratio, the signal is compared with the maximum value of the reference sample, and if the ratio is larger than the maximum value of the reference sample, the signal is determined to be a trigger signal, that is, an abnormal radio signal.
Example two:
referring to fig. 3, a device for monitoring abnormal radio signals according to a second embodiment of the present invention includes:
the segment analysis source dividing module 11 is configured to use level value data of the radio signal with any frequency in a preset signal level range as a total analysis source, and equally divide the level value data of the radio signal with any frequency in the preset signal level range into a plurality of segment analysis sources at preset signal level intervals;
a counting module 12, configured to count occurrence times of each level in each segment analysis source, so as to obtain a maximum occurrence time and a minimum occurrence time;
a calculating module 13, configured to calculate a ratio between the maximum occurrence number and the minimum occurrence number in each segment analysis source;
the determining module 14 is configured to determine, if the ratio is greater than the preset ratio, that the radio signal with the frequency corresponding to the analysis source of the segment with the ratio greater than the preset ratio is a trigger signal, that is, an abnormal radio signal.
The abnormal radio signal monitoring device and the abnormal radio signal monitoring method provided by the second embodiment of the invention belong to the same concept, and the specific implementation process is detailed in the whole specification and is not described herein again.
Example three:
a third embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for monitoring an abnormal radio signal according to the first embodiment of the present invention is implemented.
Example four:
fig. 4 shows a specific block diagram of a radio monitoring device provided in the fourth embodiment of the present invention, where a radio monitoring device 100 includes: one or more processors 101, a memory 102, and one or more computer programs, wherein the processors 101 and the memory 102 are connected by a bus, the one or more computer programs are stored in the memory 102 and configured to be executed by the one or more processors 101, and the processor 101 implements the steps of the abnormal radio signal monitoring method provided as an embodiment of the present invention when executing the computer programs.
Example five:
referring to fig. 5, the intervention processing method for abnormal radio signals according to the fifth embodiment of the present invention includes the following steps: it should be noted that, if the result is substantially the same, the intervention processing method for abnormal radio signals according to the present invention is not limited to the flow sequence shown in fig. 5.
S201, when performing intervention processing on the abnormal radio signal determined by the abnormal radio signal monitoring method provided in the embodiment of the present invention, taking the main frequency signal of the abnormal radio signal as a center, and processing a channel with a left-right step length of the main frequency signal as the same signal after intelligently validating.
In the fifth embodiment of the present invention, the intelligent method specifically includes: and comparing the level value of the channel in the step length with the level value of the main frequency, and if the level value is smaller than the level value of the main frequency, the signals are considered to be the same signal.
Referring to fig. 6, each frequency point is an abnormal radio signal, and when a 97.1MHz main signal is taken as an example and is subjected to a legal process, a comparison signal is searched for from both ends, and when the comparison signal is an abnormal radio signal and the level of the comparison signal is less than that of the current signal, the comparison signal is determined to be a signal within the bandwidth of the main frequency signal. As shown in the following table:
Figure GDA0002689992300000071
through comparison, it is determined that comparison signals 97, 97.2, and 97.3 are all signals within the bandwidth of 97.1, and after the intelligence is legal, these signals are all legal signals.
S202, increasing the sample threshold value of each frequency point.
In the fifth embodiment of the present invention, S202 specifically is:
and receiving the manually set sample threshold value of each frequency point, wherein the sample threshold value of each frequency point is generally raised upwards as a whole.
Example six:
sixth embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps of the method for intervention processing of an abnormal radio signal according to fifth embodiment of the present invention are implemented.
Example seven:
fig. 7 shows a specific block diagram of a radio monitoring device according to an eighth embodiment of the present invention, where a radio monitoring device 200 includes: one or more processors 201, a memory 202, and one or more computer programs, wherein the processors 201 and the memory 202 are connected by a bus, the one or more computer programs are stored in the memory 202 and configured to be executed by the one or more processors 201, and the processor 201 implements the steps of the intervention processing method for abnormal radio signals as provided by embodiment five of the present invention when executing the computer programs.
In the embodiment of the invention, level value data of any frequency radio signal in a preset signal level range is averagely divided into a plurality of fragment analysis sources according to preset signal level intervals; and judging that the radio signal of the corresponding frequency of the fragment analysis source with the ratio of the maximum occurrence frequency to the minimum occurrence frequency in each fragment analysis source larger than a preset ratio is a trigger signal, namely an abnormal radio signal. Therefore, the spectrum signals are analyzed in an all-round mode, the single and complex logic of the original scanning analysis is simplified, potential difference signals are found out more reasonably, quickly and accurately, automatic monitoring and intervention on the signals are achieved, the accuracy of signal samples is improved, abnormal signals can be screened quickly, the real-time performance of signal processing is improved, the method is particularly important for examination room monitoring and activity guarantee, and the method is suitable for the future development trend of radio monitoring.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. A method of monitoring for abnormal radio signals, the method comprising:
taking the level value data of the radio signal with any frequency in the preset signal level range as a total analysis source, and averagely dividing the level value data of the radio signal with any frequency in the preset signal level range into a plurality of fragment analysis sources according to the preset signal level interval;
counting the occurrence times of each level in each segment analysis source to obtain the maximum occurrence times and the minimum occurrence times;
calculating the ratio of the maximum occurrence number to the minimum occurrence number in each fragment analysis source;
if the ratio is larger than the preset ratio, the radio signal of the corresponding frequency of the fragment analysis source with the ratio larger than the preset ratio is judged to be a trigger signal, namely an abnormal radio signal.
2. The method as claimed in claim 1, wherein before the level value data of the radio signal of any frequency within the preset signal level range is equally divided into a plurality of segment analysis sources at the preset signal level intervals with the level value data of the radio signal of any frequency within the preset signal level range as a total analysis source, the method further comprises:
a signal template is created that includes reference samples of a frequency spectrum in the signal.
3. The method as claimed in claim 1, wherein the step of dividing the level value data of the radio signal of any frequency in the predetermined signal level range into a plurality of fragment analysis sources at predetermined signal level intervals is performed by taking the level value data of the radio signal of any frequency in the predetermined signal level range as a total analysis source:
the level value data of the radio signals with any frequency in the preset signal level range is used as a total analysis source, a preset number of data are taken as a segment analysis source according to the level sequence from large to small of the level value data of the radio signals with any frequency in the preset signal level range, and the level value data of the radio signals with any frequency in the preset signal level range are averagely divided into a plurality of segment analysis sources according to preset signal level intervals.
4. The method of claim 1, wherein after calculating the ratio of the maximum number of occurrences to the minimum number of occurrences in each of the analysis sources of fragments, the method further comprises:
and if the ratio of the maximum occurrence times to the minimum occurrence times of all the fragment analysis sources is smaller than the preset ratio, comparing the signal with the maximum value of the reference sample, and if the ratio is larger than the maximum value of the reference sample, judging that the signal is a trigger signal, namely an abnormal radio signal.
5. An abnormal radio signal monitoring apparatus, comprising:
the segment analysis source dividing module is used for taking the level value data of the radio signal with any frequency in the preset signal level range as a total analysis source and averagely dividing the level value data of the radio signal with any frequency in the preset signal level range into a plurality of segment analysis sources according to preset signal level intervals;
the statistical module is used for counting the occurrence times of each level in each segment analysis source to obtain the maximum occurrence times and the minimum occurrence times;
the calculation module is used for calculating the ratio of the maximum occurrence frequency to the minimum occurrence frequency in each fragment analysis source;
and the judging module is used for judging that the radio signal with the corresponding frequency of the fragment analysis source with the specific value larger than the preset specific value is a trigger signal, namely an abnormal radio signal, if the specific value is larger than the preset specific value.
6. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for monitoring abnormal radio signals according to any one of claims 1 to 4.
7. A radio monitoring device, comprising:
one or more processors;
a memory; and
one or more computer programs, wherein said one or more computer programs are stored in said memory and configured to be executed by said one or more processors, characterized in that said processors, when executing said computer programs, implement the steps of the method for monitoring abnormal radio signals according to any one of claims 1 to 4.
8. A method for intervention processing of an abnormal radio signal, the method comprising:
when the abnormal radio signal judged by the abnormal radio signal monitoring method according to any one of claims 1 to 4 is subjected to intervention processing, a channel with left and right step lengths of the main frequency signal is treated as the same signal after being intelligently legal by taking the main frequency signal of the abnormal radio signal as a center;
and increasing the sample threshold value of each frequency point.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of intervention processing of an anomalous radio signal as claimed in claim 8.
10. A radio monitoring device, comprising:
one or more processors;
a memory; and
one or more computer programs, wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, characterized in that the processors, when executing the computer programs, implement the steps of the method of intervention processing of an abnormal radio signal as claimed in claim 8.
CN201711153417.1A 2017-11-20 2017-11-20 Abnormal radio signal monitoring method and device and radio monitoring equipment Active CN108055088B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711153417.1A CN108055088B (en) 2017-11-20 2017-11-20 Abnormal radio signal monitoring method and device and radio monitoring equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711153417.1A CN108055088B (en) 2017-11-20 2017-11-20 Abnormal radio signal monitoring method and device and radio monitoring equipment

Publications (2)

Publication Number Publication Date
CN108055088A CN108055088A (en) 2018-05-18
CN108055088B true CN108055088B (en) 2020-12-22

Family

ID=62120309

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711153417.1A Active CN108055088B (en) 2017-11-20 2017-11-20 Abnormal radio signal monitoring method and device and radio monitoring equipment

Country Status (1)

Country Link
CN (1) CN108055088B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109752600B (en) * 2019-01-14 2021-06-08 电子科技大学 Abnormal electromagnetic signal analysis system and method based on software defined radio technology
CN113626540B (en) * 2021-08-26 2024-04-12 深圳市科立讯数据技术有限公司 Ultrashort wave radio signal monitoring data analysis system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001153891A (en) * 1999-11-30 2001-06-08 Hioki Ee Corp Method of determining waveform for electric measuring instrument
CN1996766A (en) * 2006-12-26 2007-07-11 深圳市嵘兴实业发展有限公司 The method for automatic determination of the background noise and its system
CN102098115A (en) * 2009-12-11 2011-06-15 华为技术有限公司 Method, device and system for detecting pulse noise
CN106936517A (en) * 2015-12-28 2017-07-07 镇江高科信息科技有限公司 A kind of automatic recognition system and its method of abnormal radio signal

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001153891A (en) * 1999-11-30 2001-06-08 Hioki Ee Corp Method of determining waveform for electric measuring instrument
CN1996766A (en) * 2006-12-26 2007-07-11 深圳市嵘兴实业发展有限公司 The method for automatic determination of the background noise and its system
CN102098115A (en) * 2009-12-11 2011-06-15 华为技术有限公司 Method, device and system for detecting pulse noise
CN106936517A (en) * 2015-12-28 2017-07-07 镇江高科信息科技有限公司 A kind of automatic recognition system and its method of abnormal radio signal

Also Published As

Publication number Publication date
CN108055088A (en) 2018-05-18

Similar Documents

Publication Publication Date Title
CN108090567B (en) Fault diagnosis method and device for power communication system
CN108667856B (en) Network anomaly detection method, device, equipment and storage medium
CN102624468B (en) Automatic broadband detection method based on dual fast Fourier transformation (FFT)
CN111263403B (en) Method and device for balancing load among multi-frequency cells under LTE network
US10075842B2 (en) Physical cell identifier allocation method and apparatus
US10237793B2 (en) Access control method and apparatus, and network device
CN108055088B (en) Abnormal radio signal monitoring method and device and radio monitoring equipment
CN108243429B (en) Network coverage detection method and system for indoor distribution system
CN112181767A (en) Method and device for determining software system exception and storage medium
CN110636540A (en) Network uplink interference pre-evaluation method and device
CN105205736A (en) Rapid detection method for power load abnormal data based on empirical mode decomposition
CN110516752A (en) Clustering cluster method for evaluating quality, device, equipment and storage medium
CN104361259B (en) A kind of transformer violation operation characteristic analysis method
Chirov et al. Adaptive Spectrum Monitoring Algorithm for Cognitive Radio Systems
CN111819550B (en) Data processing method and network equipment
CN112821972A (en) Frequency point signal processing method and device, terminal and storage medium
CN107770813A (en) LTE uplink interference sorting techniques based on PCA Yu two-dimentional degree of bias feature
CN114465681B (en) Multi-node cooperation spectrum sensing method and device for electric power Internet of things
CN107886113B (en) Electromagnetic spectrum noise extraction and filtering method based on chi-square test
CN112954728B (en) Network thickness evaluation method and device, storage medium and computer equipment
CN109870621B (en) Operation judgment method and device
CN111931861A (en) Anomaly detection method for heterogeneous data set and computer-readable storage medium
WO2022188467A1 (en) Interference detection method, apparatus and device, and storage medium
Gao et al. Fast spectrum sensing: A combination of channel correlation and Markov model
Lung et al. A new evolutionary model for detecting multiple optima

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