CN107276707B - Black broadcast automatic analysis method based on multi-attribute analysis and intelligent identification device - Google Patents
Black broadcast automatic analysis method based on multi-attribute analysis and intelligent identification device Download PDFInfo
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Abstract
The invention relates to a black broadcast automatic analysis method and an intelligent identification device based on multi-attribute analysis. The device comprises a monitoring command center and one or more remote control monitoring stations, wherein the remote control monitoring stations receive the measurement data of the broadcast signals to be measured and upload the measurement data to a monitoring command center maintenance monitoring database MDB, and meanwhile, the monitoring command center maintains a station database SDB and stores the legal station information of the area. The method and the device extract the frequency attribute, the geographic position attribute, the channel occupancy rate attribute, the emission time rule attribute, the bandwidth attribute, the polarization mode attribute and the voice attribute of each frequency point from the collected measurement data, automatically analyze the legality of each attribute of the frequency points, and comprehensively analyze whether the broadcast signal is a 'black broadcast' signal. The invention can effectively improve the working efficiency of signal monitoring and acquisition in the process of black broadcast investigation, improve the accuracy of suspicious signal identification and effectively improve the investigation efficiency of black broadcast.
Description
Technical Field
The invention relates to the field of communication, in particular to a black broadcast automatic analysis method and an intelligent identification device based on multi-attribute analysis.
Background
In recent years, lawless persons are increasingly rampant in appropriating to set up radio broadcasting stations (commonly called "black broadcasting") and to transmit sound or video signals to audiences in certain areas in a broadcasting manner. The ' black broadcasting ' is an illegal station which is not authorized by a national or local radio management organization, according to relevant regulations of the radio frequency division of the people's republic of China, the 87-108MHz band in China is mainly distributed to a radio and television department for frequency modulation broadcasting, and the 108-137MHz band is mainly distributed to a civil aviation department for aviation radio navigation and aviation mobile use, and when the legal frequency modulation broadcasting station is set, sufficient scientific demonstration can be carried out on site selection, frequency selection, equipment type selection and the like, and harmful interference can not be caused to the aviation band. However, the "black broadcasting" station is used as an illegal station, and due to the reasons of large transmission power, insufficient suppression of out-of-band spurious emission of the transmitter, disordered use of frequency, disordered arrangement place and the like, harmonic waves and intermodulation of the transmitter may be generated, so that the hidden trouble of serious interference to other normal working frequency bands, particularly civil aviation communication, exists. Meanwhile, receiver intermodulation may occur due to nonlinearity of receiving devices such as filters, amplifiers and demodulators of airborne mobile communication equipment. Under the conditions, harmonic waves or intermodulation signals of broadcast signals can fall into a mobile aviation frequency band to cause interference on airborne equipment, and when the interference is serious, sound signals of frequency modulation broadcast can be demodulated in the civil aviation frequency band, so that the normal and safe operation of the aircraft is seriously influenced. The black broadcast occupies frequency resources, influences normal broadcast communication, interferes navigation of civil aviation communication, spreads various illegal information and disturbs radio communication management order, and is always a key striking target of national and local governing departments.
Conventionally, for an illegal station such as "black broadcast" which is not authorized by the national or local radio regulatory agency, the station is generally clearly different from the legal broadcast station in terms of radio frequency information, geographical location, and broadcast content. The traditional black broadcast investigation method is generally divided into three steps of signal monitoring and acquisition, suspicious signal screening and site determination and investigation.
(1) The signal monitoring and acquisition is to comprehensively master the signal condition in the local frequency modulation broadcast frequency band, the general process is that firstly, a fixed monitoring station is utilized to continuously monitor all broadcast signals in the 87-108MHz frequency band in all weather, and information such as radio frequency information, geographic information, voice content and the like of all signals in the frequency band is acquired;
(2) the 'suspicious signal screening' is to carry out comprehensive judgment and analysis according to a certain screening standard to screen out suspicious signals on the premise that the radio frequency information, the geographic information, the voice content and other information of the 'black broadcast' signals and the legal signals are obviously different;
(3) the 'on-site determination and investigation' is to investigate 'black broadcasting' by means of intersection direction finding positioning of a fixed monitoring station, hiking approach finding of a portable receiver and the like.
However, the above method has the following two problems:
firstly, the automation degree of monitoring and collecting work is low. In signal monitoring and acquisition, the current situation that the automation degree of monitoring equipment in most domestic areas is low is limited, multiple monitoring personnel are usually required to continuously perform special monitoring work for several days, a large amount of manpower and material resources are consumed, an automatic analysis method for broadcast signals is lacked, and the working efficiency of signal monitoring and acquisition is seriously influenced.
Secondly, the intelligent degree of suspicious signal identification is not high. In the "suspect signal screening", although the screening criterion is determined by the difference between the radio frequency information, the geographic information and the voice content of the "black broadcast" signal and the legal signal, the difference is not unique in actual operation. Taking only the transmission frequency as an example, the transmission frequency is a basic attribute of the station and is also the most central technical parameter in the radio monitoring work, and the "black broadcast" can be typically divided into two types, i.e., "same-frequency transmission" and "different-frequency transmission". "inter-frequency transmission" refers to the illegal transmission of radio station at frequency point which is not authorized by the national or local radio regulatory agency, and is generally judged by comparing with the local station database. However, there are also cases where misjudgment is caused by an incomplete database of stations or an incomplete matching of the geographical range of the selected station. The 'same frequency transmission' is transmitted by stations illegally on frequency points approved for legal stations, and such signals also need to be further discriminated according to actual conditions. The result is that the screening of suspicious signals in actual work often depends on whether the working experience of a front-line technician is rich or not, the subjectivity is strong, a uniform standard cannot be formed, a uniform and intelligent identification method and strategy are lacked, and the accuracy of suspicious signal identification is severely restricted.
In summary, in the radio management work, an automatic analysis method and an intelligent identification device aiming at the "black broadcasting" are needed, which can effectively improve the working efficiency of signal monitoring and acquisition and improve the accuracy of suspicious signal identification.
Disclosure of Invention
Aiming at the problems, the invention provides a black broadcast automatic analysis method and an intelligent identification device based on multi-attribute analysis.
The invention provides a black broadcast intelligent recognition device based on multi-attribute analysis, which comprises a monitoring command center and one or more remote control monitoring stations, wherein the monitoring command center is a control node, and the remote control monitoring stations are remote control nodes. The ultrashort wave monitoring network consists of a monitoring command center, a remote monitoring station and a communication link between the monitoring command center and the remote monitoring station.
The remote control node receives and measures the broadcast signals to be detected, and uploads the measured data to the control node through the intranet to maintain a specific list storage unit with frequency as a main key, wherein the unit is called a Monitoring Database (MDB). The MDB also stores advertisement characteristic words, including music, comment books, drug advertisements and other contents or words conforming to drug advertisement low-custom characteristics.
The control node maintains a specific list storage unit with frequency as a main key, which is responsible for storing legal Station information of the region, and the unit is called a Station Database (SDB), and the stored information includes but is not limited to frequency, transmission bandwidth, Station geographical longitude, Station geographical latitude and other information.
The control node pushes a frequency point set to be detected to each remote control node, extracts the frequency attribute, the geographic position attribute, the channel occupancy degree attribute, the emission time rule attribute, the bandwidth attribute, the polarization mode attribute and the voice attribute of each frequency point from the measurement data collected by the remote control nodes, automatically analyzes the legality of each attribute of the frequency points, analyzes whether the broadcast signal is a 'black broadcast' signal or not by using a legality formula, intelligently identifies an illegal station, and finally outputs an identification result. The legality formula is weighted summation of all attribute values of the frequency points, and the obtained summation value is compared with a legality threshold to judge legality.
The method for automatically analyzing the validity of the frequency attribute comprises the following steps:
sequentially inputting the frequency point set to be detected into the SDB, and checking the frequency point validity of the frequency attribute; the frequency attribute of the frequency point registered in the SDB is legal.
The method for automatically analyzing the legality of the geographic position attribute comprises the following steps:
and each remote control node measures the direction indicating degree of each frequency point, the measurement result is returned to the control node for intersection positioning, the intersection positioning result is compared with the SDB, and the validity of the geographic position is checked.
The method for automatically analyzing the validity of the channel occupancy degree attribute comprises the following steps:
and each remote control node measures the channel occupancy of each frequency point, returns the measurement result to the control node, compares the measurement result with a Monitoring Database (MDB), and checks the channel occupancy attribute legality.
The method for automatically analyzing the validity of the emission time regular attribute comprises the following steps:
each remote control node measures the emission time rule of each frequency point, the measurement result is returned to the control node, and the similarity comparison is carried out between the measurement result and the historical emission time rule in a Monitoring Database (MDB), and the validity of the emission time rule is verified. And if the similarity between the current transmission time rule and the historical transmission time rule is less than a set threshold value, the transmission time rule of the detected broadcast signal is considered to be abnormal.
The method for automatically analyzing the validity of the bandwidth attribute comprises the following steps:
and each remote control node measures the signal bandwidth of each frequency point, returns the measurement result to the control node, compares the measurement result with the signal bandwidth in the MDB and checks the validity of the bandwidth attribute.
The method for automatically analyzing the legality of the polarization mode attribute comprises the following steps:
each remote control node measures the polarization mode of each frequency point, the measurement result is returned to the monitoring command center, the polarization mode of the broadcast signal is judged according to the incoming wave level measured by the vertical polarization antenna and the horizontal polarization antenna of the remote control node, and the legality of the attribute of the polarization mode is checked; if the polarization is horizontal polarization, the polarization mode attribute is legal.
The method for automatically analyzing the legality of the voice attribute comprises the following steps:
recording the suspicious signal, judging the playing content by multiple times of acquisition and statistics by using a keyword recognition technology, comparing the playing content with the MDB, and checking the legality of the voice attribute; and if the probability of words containing music, comment books and drug advertisement contents or conforming to the low-custom characteristics of the drug advertisements exceeds a set threshold, judging that the voice attribute is abnormal.
Correspondingly, the intelligent black broadcast identification method based on the intelligent black broadcast identification device comprises the following steps:
the control node pushes a frequency point set to be detected to each remote control node, extracts the frequency attribute, the geographic position attribute, the channel occupancy degree attribute, the emission time rule attribute, the bandwidth attribute, the polarization mode attribute and the voice attribute of each frequency point from the measurement data collected by the remote control nodes, automatically judges the legality of the frequency attribute, the geographic position attribute, the channel occupancy degree attribute, the emission time rule attribute, the bandwidth attribute, the polarization mode attribute and the voice attribute of a certain broadcast signal to be identified according to the statistical data in the MDB, calculates whether the broadcast signal is a black broadcast signal or not by using a legality formula on the basis of the legality of each attribute, intelligently identifies the black broadcast signal or not on the basis of the legality of each attribute, and finally outputs an identification result. The legality formula is weighted summation of all attributes of the frequency point, an obtained summation value is compared with a legality threshold, and if the summation value is lower than the legality threshold, the legality of the frequency point is judged to be abnormal; otherwise, the validity of the frequency point is judged to be normal.
The invention has the advantages and positive effects that:
the invention is an ultrashort wave monitoring network composed of one or more remote monitoring stations (remote control nodes) for receiving the broadcast signals to be detected, acquiring the information such as radio frequency information, geographic information and voice content of the required broadcast signals, and transmitting the measured data to a monitoring command center (control node). A Station Database (SDB) of the control node is responsible for storing information such as frequency, transmission bandwidth, station geographical longitude and station geographical latitude of a legal station; the Monitoring Database (MDB) is responsible for storing historical Monitoring data. Based on the content, the monitored and collected radio frequency information, geographic information, voice content and other information of the broadcast signals of the frequency point set in a certain frequency band to be detected are divided into attributes such as frequency attribute, geographic position attribute, channel occupancy rate, emission time rule attribute, bandwidth attribute, polarization mode attribute, voice attribute and the like by using an attribute analysis method, automatic analysis is carried out, whether the broadcast signals are legal stations or not is analyzed by using a legal degree formula, black broadcast signals are intelligently identified, and finally an identification result is output.
The scheme of the invention can effectively improve the working efficiency of signal monitoring and acquisition in the process of black broadcast investigation, improve the accuracy of suspicious signal identification and effectively improve the investigation efficiency of black broadcast.
Drawings
FIG. 1 is a block diagram of an intelligent recognition device for black broadcasting according to the present invention;
FIG. 2 is a flow chart of the automated analysis of the frequency point attributes in the method of the present invention;
FIG. 3 is a flow chart of automated analysis of geographic attributes in the method of the present invention;
FIG. 4 is a flow chart of the automatic analysis of the channel occupancy and emission time regularity attributes in the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
The invention provides a black broadcast automatic analysis method and an intelligent recognition device based on multi-attribute analysis, aiming at the problems of low signal monitoring and acquisition efficiency and low suspicious signal recognition accuracy of the traditional black broadcast investigation method, which can effectively divide the monitored and acquired radio frequency information, geographic information, voice content and other information of broadcast signals of a frequency point set in a certain frequency band to be detected into attributes such as frequency attribute, geographic position attribute, channel occupancy degree attribute, emission time rule attribute, bandwidth attribute, polarization mode attribute, voice attribute and the like by using an attribute analysis method, carry out automatic analysis, analyze whether the broadcast signals are legal stations or not by using a legal degree formula, intelligently recognize the black broadcast signals, and finally output recognition results. The invention is beneficial to improving the working efficiency in daily monitoring and provides powerful support for rapidly finding and searching illegal broadcast signals.
The intelligent black broadcast identification device is realized based on an ultrashort wave monitoring network. The ultrashort wave monitoring network consists of a monitoring command center, one or more remote monitoring stations and a communication link between the monitoring command center and the remote monitoring stations. The monitoring command center is a control node, and the remote control monitoring station is a remote control node. The remote control node consists of an antenna, a receiver and accessory equipment thereof, is a fixed monitoring station generally, and can be replaced by portable or movable monitoring equipment in some special cases. The following embodiments of the present invention use a stationary monitoring station.
Example one
The Station Database (SDB) is responsible for storing information about the regular stations that have been approved by the radio regulatory agency, including but not limited to frequency, transmission bandwidth, Station geographical longitude, Station geographical latitude, etc., and the SDB sets the frequency as the primary key.
Monitoring Database (MDB) responsible for maintaining the usage of n from the pastsThe ultra-short wave fixed monitoring station continuously measures historical statistical data of frequency points f including but not limited to channel occupancy, emission rule, signal level value, signal bandwidth and other data, and the MDB sets frequency as a main key.
Analysis initialization:
when the intelligent black broadcast identification task needs to be executed, if the initial broadcast frequency of the frequency band needs to be detected is fsThe termination broadcast frequency is feThen its range is [ fs,fe]. Generally, take fs＝87MHz，fe108 MHz. That is, the frequency range is divided into equal parts by steps l, and generally l is 100KHz, so that the number n of frequency points to be detected is easily knownf，
And obtaining a set of frequency points to be detected as
A control node in an ultrashort wave monitoring network divides measurement data of a broadcast signal of a frequency point set in a certain frequency band to be detected, which is monitored and collected by a remote control node, into radio frequency information, geographic information, voice content and other information by using an attribute analysis method, and carries out automatic analysis on the attributes by using an attribute analysis method to divide the attributes into frequency attributes, geographic position attributes, channel occupancy, emission time rule attributes, bandwidth attributes, polarization mode attributes, voice attributes and the like, analyzes whether the broadcast signal is a legal station or not by using a legal degree formula, intelligently identifies a 'black broadcast' signal, and finally outputs an identification result.
Example two
The present embodiment provides a broadcast signal frequency attribute verification method, which is described in conjunction with the contents of the first embodiment:
for the sake of simplicity, the description will be made only in the case of a single frequency point f. As shown in fig. 2, the frequency point f is input into SDB to check the validity information of the frequency attribute, and the response returned is the frequency point validity r (f). If the returned information indicates that the point is not registered in the SDB, the frequency point attribute PRoF (f) is judged to be abnormal; otherwise, the frequency point attribute is judged to be legal.
According to the method of the second embodiment, the detection of the frequency attribute of the broadcast signal is realized.
EXAMPLE III
The present embodiment provides a method for determining a geographic location attribute of a broadcast signal, which is described with reference to the first embodiment and the content in fig. 3:
for the sake of simplicity, the description will be made only in the case of a single frequency point f. Let n at a timesThe ultra-short wave fixed monitoring station can be used for judging the validity of the geographical position of the frequency point f at the same time, and if the kth ultra-short wave fixed monitoring station SkThe measured direction indicating degree is A(k)(f) In that respect Is easy to know if SkCan give the degree of direction, then Ak∈ [0,360 ]) if S is caused by one or more factorskIf the direction degree can not be measured, returning to Ak＝NULL。
Then the direction set with f as the primary key is mapped into
If A (f) at least more than two values are not NULL and can be intersected, the geographical position information G (f) of the target can be obtained by utilizing the multi-station cross positioning principle, and compared with the position information in the station database SDB: if it is consistent, the geographical location attribute PRoG (f) is considered as "legal"; conversely, the geographic location attribute is considered "illegal".
If A (f) at most one value is not NULL or at least two values are not NULL but can not be converged, the geographic position attribute is judged to be 'unable to judge'.
According to the method of the third embodiment, the detection of the geographic position attribute of the broadcast signal is realized.
Example four
The embodiment provides a method for determining an occupancy rate attribute of a broadcast signal channel, which is described with reference to the first embodiment:
for the sake of simplicity, the description will be made only in the case of a single frequency point f. If the kth ultrashort wave fixed monitoring station SkThe measured channel occupancy is O(k)(f) Obviously, O(k)(f)∈[0,100％]Then the channel occupancy rate set with the frequency point f as the main key is mapped into
And compared to the channel occupancy information in the MDB: if so, the channel occupancy attribute PRoO (f) is considered to be "legal"; conversely, the channel occupancy attribute is considered "abnormal".
Initializing a monitoring database MDB by using channel occupation information permitted by a management department in a station database SDB for the frequency bands which are not monitored, and verifying after comparison; and for frequency bands with historical monitoring data and records, the data accumulated in the existing monitoring database can be used for comparison and analysis.
According to the method of the fourth embodiment, the detection of the occupancy degree attribute of the broadcast signal channel is realized.
EXAMPLE five
The present embodiment provides a method for determining an attribute of a broadcast signal emission time rule, which is described with reference to the contents of the first embodiment:
for the sake of simplicity, the description will be made only in the case of a single frequency point f. Set up the fixed monitoring station S of kth ultrashort wavekMeasured byFrequency point f is obtained in a certain continuous time period t1,t2],t1,
Is a set of integers, nhThe number of statistics defined as equal divisions, for example, the statistical period of the occupancy of the channel per hour is 1 hour, the statistical period of the occupancy of the channel per day is 24 hours, and so on.
The frequency point f is at SkIs defined as a transmission time law of 1 × nhThe vector of (c) is as follows:
wherein,
fixed monitoring station S for representing ultrashort waveskAnd measuring the channel occupancy rate of the frequency point f in the 1 st statistical period, and so on.
It is known that two vectors a ═ in an n-dimensional space (a)1，a2，…，ai，…，an) And B ═ B1，b2，…，bi，…，bn) Then, the euclidean distance d (a, B) between a and B is defined as follows:
the difference between the current emission time rule and the historical value of the frequency point to be measured can be measured by using the Euclidean distance, and the TS is obtained by the formula(k)(f) And TSH(k)(f) The euclidean distance therebetween is also defined as the similarity of the emission time regularity of the frequency point f:
TS(k)(f) fixed monitoring station S for representing ultrashort waveskMeasuring the current emission time rule, TSH, of the frequency point f(k)(f) Fixed monitoring station S for representing ultrashort waveskAnd (5) measuring the historical emission time rule of the frequency point f.
If so, set the threshold ηtsIs the judgment condition of the regular similarity of the emission time of the frequency point f, obviously, if SimT (TS)(k)(f),TSH(k)(f))＜ηtsIf the measured broadcast signal emission time law is abnormal, the broadcast signal emission time law attribute PRoT (f) is judged to be abnormal; otherwise, the attribute of the broadcast signal emission time rule is judged to be normal, and the data in the MDB is updated.
According to the method of the fifth embodiment, the analysis of the attribute of the broadcast signal emission time rule is realized.
As shown in fig. 4, the attribute of the broadcast signal transmission time regularity is judged to be abnormal by comparing the transmission time regularity, such as no transmission in the daytime at night, only a few hours and irregular transmission each day, or only a few days each month. It is also compared whether the radio management authority approved and licensed wireless station transmission time matches the actual transmission time.
EXAMPLE six
The present embodiment provides a method for determining a bandwidth attribute of a broadcast signal, which is described with reference to the content of the first embodiment:
generally, the intermediate frequency analysis equipment of an ultrashort wave fixed monitoring station should accurately measure the bandwidth of the measured signal. For the sake of simplicity, the description will be made only in the case of a single frequency point f. If the kth ultrashort wave fixed monitoring station SkThe signal bandwidth of the measured frequency point f is BD(k)(f) Obviously, the signal bandwidth set with the frequency point f as the main key is mapped into
At the same time, the data in BD (f) and MDB are compared, if ηbdFor the determination of the difference between the two, obviously, if the current data is the one in MDBThe difference of the data is greater than ηbdIf the bandwidth of the detected signal is considered to be abnormal, the broadcast signal bandwidth attribute PRoB (f) is judged to be abnormal, otherwise, the broadcast signal bandwidth attribute is judged to be normal, and the data in the MDB is updated.
According to the method of the sixth embodiment, the detection of the bandwidth attribute of the broadcast signal is realized.
EXAMPLE seven
The present embodiment provides a method for determining broadcast signal polarization mode attributes, which, with reference to the content of the first embodiment, takes a polarization mode as an example to explain:
generally, the if analysis equipment of a remote control node should be configured with multiple sets of antennas, including at least one or more vertically polarized antennas and one or more horizontally polarized antennas. In practical application, a group of vertical polarization antennas and a group of horizontal polarization antennas are used for respectively receiving signals, and the polarization mode of waves can be judged by comparing the receiving level difference. In practice, regular broadcast television signals are generally horizontally polarized, and "black broadcast" is generally vertically polarized.
Considering only the simplest condition, for a single frequency point f, for the kth ultrashort wave fixed monitoring station SkMeasured incoming wave level of vertically polarized antenna is lv(k)(f) Measured incoming wave level of horizontally polarized antenna is lh(k)(f) If η is usedlevelFor the judgment condition of the difference between the two, obviously, if ηlevel≤lh(k)(f)-lv(k)(f) If the incoming wave is only horizontally polarized, the broadcast signal polarization mode attribute PRoP (f) is judged to be normal, otherwise, the broadcast signal polarization mode attribute is judged to be abnormal.
According to the method of the seventh embodiment, the detection of the polarization mode attribute of the broadcast signal is realized.
Example eight
The present embodiment provides a method for determining a voice attribute of a broadcast signal, which, with reference to the content of the first embodiment, takes a voice keyword as an example to explain:
the suspicious signal is recorded and the recorded sound is transmitted,and utilizing keyword recognition technology, collecting and counting for several times to judge the played content, comparing with Monitoring Data Base (MDB), if the probability of words containing the content of playing music, comment and medicine advertisement or conforming to the low-custom characteristics of medicine advertisement exceeds a certain threshold ηvIf yes, the voice attribute PRoV (f) of the frequency point f is judged to be abnormal; otherwise, the voice attribute of f is judged to be normal.
According to the method of the eighth embodiment, the detection of the voice attribute of the broadcast signal is realized.
Example nine
The present embodiment provides a method for determining broadcast signal validity through multi-attribute analysis, and is described with reference to the contents of the first to eighth embodiments:
according to the statistical data in the MDB, on the basis of carrying out automatic analysis on the frequency attribute, the geographic position attribute, the channel occupancy rate and the emission time rule attribute, the bandwidth attribute, the polarization mode attribute, the voice attribute and other attributes of a certain broadcast signal to be identified, whether the broadcast signal is a legal station or not is analyzed by using a legality formula, the black broadcast signal is intelligently identified, and finally, an identification result is output.
Firstly, defining a station legal degree multidimensional vector:
R(f)＝(PRoF(f),PRoG(f),PRoO(f),PRoT(f),PRoB(f),PRoP(f),PRoV(f))
the station compliance may be described by the following definition:
R(f)＝α1PRoF(f)+α2PRoG(f)+α3PRoO(f)+α4PRoT(f)
+α5PRoB(f)+α6PRoP(f)+α7PRoV(f)
wherein 0 is not more than αi≤1,
The weight of which is determined by the mass of historical data in the MDB. Each attribute value of the broadcast signal represents a value for which the attribute is a legal similarity, and the resulting legality score characterizes the transmitting station legality probability.
(1) Praf (f) denotes a frequency attribute of a broadcast signal of frequency f;
(2) prog (f) represents a geographical location attribute of a broadcast signal of frequency f;
(3) PRoO (f) represents the channel occupancy property for broadcast signals of frequency f;
(4) prot (f) represents the emission time law attribute of the broadcast signal with frequency f;
(5) prob (f) denotes a bandwidth attribute of a broadcast signal of frequency f;
(6) prp (f) represents the polarization attribute of the broadcast signal at frequency f;
(7) prov (f) represents the voice attribute of a broadcast signal of frequency f;
if R (f) is below the threshold of validity ηRIf yes, judging the validity of the frequency point f to be abnormal; otherwise, the validity of the frequency point f is judged to be normal.
According to the method of the ninth embodiment, the identification of whether the broadcast signal is a legal station is realized.
In summary, in each embodiment of the present invention, based on the station database and the monitoring database, the information such as radio frequency information, geographic information, and voice content of the broadcast signal of the frequency point set in a certain frequency band to be detected is divided into attributes such as a frequency attribute, a geographic position attribute, a channel occupancy rate, a transmission time rule attribute, a bandwidth attribute, a polarization mode attribute, and a voice attribute by using an attribute analysis method, and is subjected to automatic analysis, whether the broadcast signal is a legal station is analyzed by using a legal degree formula, a "black broadcast" signal is intelligently identified, and an identification result is finally output. The scheme of the invention can distinguish the automatic detection of the black broadcast more accurately, and can effectively improve the searching efficiency of the black broadcast.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
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, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (5)
1. A black broadcast intelligent recognition device based on multi-attribute analysis is characterized by comprising a monitoring command center and one or more remote control monitoring stations, wherein the monitoring command center is a control node, and the remote control monitoring stations are remote control nodes; the ultrashort wave monitoring network consists of a monitoring command center, a remote control monitoring station and a communication link between the monitoring command center and the remote control monitoring station;
the remote control node receives and measures the broadcast signals to be detected, and uploads the measured data to a maintenance Monitoring Database (MDB) in the control node through an internal network, wherein the MDB is a specific list storage unit with frequency as a main key; the MDB also stores the content of music, comment and drug advertisement or words according with the characteristics of the drug advertisement;
the control node maintains a station database SDB, wherein the SDB is a specific list storage unit with frequency as a main key; the SDB stores legal station information of a region, and the stored information comprises frequency, transmission bandwidth, station geographical longitude and geographical latitude;
the control node determines the initial broadcast frequency and the termination broadcast frequency of the broadcast signal to be detected, equally divides the frequency range and determines the frequency point set to be detected; the control node pushes a frequency point set to be detected to each remote control node, extracts the frequency attribute, the geographic position attribute, the channel occupancy degree attribute, the emission time rule attribute, the bandwidth attribute, the polarization mode attribute and the voice attribute of each frequency point from the measurement data collected by the remote control nodes, automatically analyzes the legality of each attribute of the frequency points, and calculates whether the broadcast signal is a 'black broadcast' signal by using a legality formula; the legality formula is weighted summation of all attribute values of the frequency points, and the obtained summation value is compared with a legality threshold;
the method for automatically analyzing the validity of the voice attribute comprises the following steps: recording the suspicious signal, judging the playing content by multiple times of acquisition and statistics by using a keyword recognition technology, comparing the playing content with the MDB, and checking the legality of the voice attribute; if the probability of words containing music, comment books and drug advertisement contents or conforming to the drug advertisement low-custom characteristics exceeds a set threshold, judging the voice attribute as abnormal;
the method for automatically analyzing the validity of the channel occupancy attribute comprises the following steps: each remote control node measures the channel occupancy rate of each frequency point, the measurement result is returned to the control node and is compared with the MDB, and the channel occupancy rate attribute validity is checked;
the method for automatically analyzing the validity of the emission time regular attribute comprises the following steps: each remote control node measures the emission time rule of each frequency point, the measurement result is returned to the control node, the similarity comparison is carried out between the measurement result and the historical emission time rule in the MDB, and the validity of the emission time rule is checked; if the similarity between the current transmission time rule and the historical transmission time rule is smaller than a set threshold value, the transmission time rule of the detected broadcast signal is considered to be abnormal;
the method for automatically analyzing the legality of the polarization mode attribute comprises the following steps: each remote control node measures the polarization mode of each frequency point, the measurement result is returned to the control node, the polarization mode of the broadcast signal is judged according to the incoming wave level measured by the vertical polarization antenna and the horizontal polarization antenna of the remote control node, and if the polarization mode is horizontal polarization, the polarization mode attribute is legal.
2. The intelligent black broadcasting identification device of claim 1, wherein the frequency attribute, the method for automatically analyzing the validity thereof, comprises:
and (4) sequentially inputting the frequency point set to be detected into the SDB, checking the validity of the frequency attribute, and checking the validity of the frequency attribute of the frequency point registered in the SDB.
3. The intelligent black broadcast identification device according to claim 1, wherein the geographic location attribute, the method for automatically analyzing the validity thereof, comprises:
and each remote control node measures the direction indicating degree of each frequency point, the measurement result is returned to the control node for intersection positioning, the intersection positioning result is compared with the SDB, and the validity of the geographic position is checked.
4. The intelligent black broadcast identification device according to claim 1, wherein the bandwidth attribute, the method for automatically analyzing the validity thereof, comprises:
and each remote control node measures the signal bandwidth of each frequency point, returns the measurement result to the control node, compares the measurement result with the signal bandwidth in the MDB and checks the validity of the bandwidth attribute.
5. The intelligent black broadcast identification method implemented by the intelligent black broadcast identification device according to claim 1, wherein the obtained summation value is compared with a validity threshold, and if the summation value is lower than the validity threshold, the validity of the frequency point is determined to be abnormal; otherwise, the validity of the frequency point is judged to be normal.
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| CN107835096A (en) * | 2017-11-21 | 2018-03-23 | 成都奥特为科技有限公司 | Signal archives economy, signal recognition method and system |
| CN108512617B (en) * | 2018-04-18 | 2020-11-24 | 成都大公博创信息技术有限公司 | Automatic early warning method and device for potential interference of aviation frequency band |
| CN109495201B (en) * | 2018-12-04 | 2020-05-19 | 苏州恩巨网络有限公司 | Station identification method, device and equipment |
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| CN110971324B (en) * | 2019-03-29 | 2021-07-30 | 国家无线电监测中心检测中心 | Black broadcast signal monitoring method |
| CN110995374B (en) * | 2019-03-29 | 2022-06-21 | 国家无线电监测中心检测中心 | Black broadcast signal monitoring system |
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