Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic black broadcast analysis method and intelligent identification device based on multi-attribute analysis

An automatic analysis and identification device technology, applied in the field of communication, can solve the problems of low degree of automation in monitoring and collection work, low degree of automation, large manpower and material resources, etc., and achieve the effect of improving investigation efficiency, accuracy, and work efficiency

Active Publication Date: 2017-10-20
国家无线电监测中心
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] First, the automation of monitoring and collection work is low
In "signal monitoring and collection", limited to the low degree of automation of monitoring equipment in most parts of the country, it usually requires multiple monitoring personnel to carry out special monitoring work without interruption for several days, which consumes a lot of manpower and material resources. The automatic analysis method of the broadcast signal has seriously affected the work efficiency of signal monitoring and collection
[0009] Second, the suspicious signal identification is not highly intelligent
This has led to the fact that the screening of suspicious signals in actual work often depends on whether the front-line technicians have rich work experience, is highly subjective, fails to form a unified standard, and lacks a unified and intelligent identification method and strategy, which seriously restricts improve the accuracy of suspicious signal identification

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic black broadcast analysis method and intelligent identification device based on multi-attribute analysis
  • Automatic black broadcast analysis method and intelligent identification device based on multi-attribute analysis
  • Automatic black broadcast analysis method and intelligent identification device based on multi-attribute analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] The station database (Station Database, SDB) is responsible for storing the relevant information of the formal stations approved by the radio regulatory agency, including but not limited to frequency, transmission bandwidth, station geographic longitude, station geographic latitude and other information. The SDB sets the frequency as primary key.

[0044] Monitoring Database (Monitoring Database, MDB), responsible for maintaining n s An ultrashort wave fixed monitoring station carries out continuous measurement historical statistical data on data such as frequency point f including but not limited to channel occupancy, emission law, signal level value and signal bandwidth, and MDB sets frequency as the primary key.

[0045] Analysis initialization:

[0046] When it is necessary to perform black broadcast intelligent identification tasks, if the initial broadcast frequency of the detection frequency band is f s , the termination broadcasting frequency is f e , then it...

Embodiment 2

[0051] This embodiment provides a method for verifying the frequency attribute of a broadcast signal, which is described in conjunction with the content of the first embodiment above:

[0052] For simplicity, only the case of a single frequency point f is used for illustration. Such as figure 2 As shown, the frequency point f is input into the SDB to verify the legality information of the frequency attribute, and the returned response is the frequency point legality R(f). If the returned information indicates that this point is not registered in the SDB, it is judged that the frequency point attribute PRoF(f) is "abnormal"; otherwise, the frequency point attribute is judged to be "legal".

[0053] According to the method described in the second embodiment, the detection of the frequency attribute of the broadcast signal is realized.

Embodiment 3

[0055] This embodiment provides a method for judging the geographic location attribute of a broadcast signal, combined with the first embodiment above and image 3 The content is explained:

[0056] For simplicity, only the case of a single frequency point f is used for illustration. Let there be n at a certain moment s A fixed ultrashort wave monitoring station can be used to judge the legality of the geographic location of the frequency point f at the same time, if the kth fixed ultrashort wave monitoring station S k The measured orientation is A (k) (f). It is easy to know that if S k can give the orientation, then A k ∈[0,360); if S is caused by one or more factors k If the orientation cannot be measured, return A k = NULL.

[0057] Then the orientation degree set mapping with f as the primary key is

[0058]

[0059] If at least two values ​​of A(f) are not NULL and can intersect, using the principle of multi-station cross positioning, the geographic location ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an automatic black broadcast analysis method and intelligent identification device based on multi-attribute analysis. The device comprises a monitoring command center and one or more remote monitoring stations, the remote monitoring station receives measurement data of a to-be-measured broadcast signal and uploads the measurement data to the monitoring command center to maintain a monitoring database MDB, meanwhile maintaining a station database SDB by the monitoring command center, and storing the legal station information of the area. According to the method and device, the frequency attributes, geographic position attributes, channel occupancy attributes, launch time rule attributes, bandwidth attributes, polarization manner attributes and voice attributes of frequency points are extracted from the collected measurement data, the validity of the attributes of the frequency points are automatically analyzed, and whether the broadcast signal is a black broadcast signal is comprehensively analyzed. By adoption of the method and device, the working efficiency of signal monitoring and collection in a black broadcast investigation process can be effectively improved, the accuracy of identifying suspected signals is improved, and the black broadcast investigation efficiency is improved.

Description

technical field [0001] The present invention relates to the communication field, in particular to an automatic black broadcast analysis method and an intelligent identification device based on multi-attribute analysis. Background technique [0002] In recent years, it has become increasingly rampant for lawbreakers to set up wireless broadcasting stations (commonly known as "black broadcasting") without authorization, and to transmit sound or video signals to audiences in a certain area by means of broadcasting. "Black broadcasting" is an illegal station that has not been authorized by the national or local radio management agency. According to the relevant regulations on the radio frequency division of the People's Republic of China, the 87-108MHz frequency band in my country is mainly allocated to the radio and television department for FM broadcasting, while the 108-137MHz frequency band It is mainly allocated to the civil aviation department for aviation radio navigation ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04H60/29
CPCH04H60/29
Inventor 段洪涛崔军峰范振雄黄伟宁武迎兵汪庭霁吕冰张小飞李景春
Owner 国家无线电监测中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com