CN111950410B - Online electromagnetic environment monitoring device and method based on radio fingerprint identification - Google Patents
Online electromagnetic environment monitoring device and method based on radio fingerprint identification Download PDFInfo
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Abstract
The invention relates to an online electromagnetic environment monitoring device and a method thereof based on radio fingerprint identification, which are used for acquiring electromagnetic waves in a target frequency band, converting the electromagnetic waves into digital signals to obtain effective sample signals, completing time-frequency domain transformation and obtaining characteristic parameters of the sample signals after spectrum analysis; comparing and judging according to the frequency database, if the same-frequency interference of the authorized frequency band is judged, extracting a radio fingerprint from the sample signal through a radio fingerprint identification algorithm, and then comparing and analyzing the sample signal with a radio fingerprint database module to obtain a result; and (3) carrying out interference degree analysis on the primary result of interference identification by combining the same-frequency interference protection and adjacent-frequency interference protection conditions corresponding to the authorized frequency point signal system, so as to obtain a monitoring result. The invention can continuously and dynamically monitor the electromagnetic environment, does not depend on demodulation of signals, can realize simultaneous monitoring of signals with multiple frequency bands and multiple systems, and can accurately identify the same-frequency interference through a radio fingerprint algorithm.
Description
Technical Field
The invention relates to the technical field of urban rail transit and high-speed railway monitoring, in particular to an online electromagnetic environment monitoring device and method based on radio fingerprint identification.
Background
At present, the urban rail transit industry in China rapidly develops, the network scale and the operation mileage are continuously enlarged, and the total business mileage of the high-speed railway in China is 3.5 thousands of meters. The reliable operation and communication quality of wireless communication systems such as wireless scheduling and wireless train control in high-speed railways and rail transit systems are critical factors for ensuring the safety of passengers in relation to the high-efficiency and stable operation of subways and high-speed railways, however, with the application of various wireless communication systems, the operation environment of the system faces the threat of wireless electromagnetic interference from the outside at all times, and the situation of failure, shutdown or degraded operation caused by wireless interference occurs to different degrees in subway lines of each city is also frequently faced by the threat from telecom operators and other illegal stations by the high-speed railway wireless scheduling system.
To avoid this, electromagnetic environment testing along the line is typically or is performed. However, the electromagnetic environment test in the conventional sense has more defects. Firstly, the traditional test belongs to discrete type one-way test, only aims at specific time and place, organizes testers and simple equipment to carry out one-way test, cannot continuously, comprehensively and dynamically monitor in an overall process, and the test result is only responsible for a test sampling value at this time, so that interference generated by an external unauthorized base station and a terminal which are randomly generated cannot be monitored and identified in real time at a later operation stage; secondly, the data acquisition and interference analysis processes are separated, the conclusion is mostly dependent on human analysis, and the measurement precision is closely related to the level and the rigor of the testers; thirdly, besides the fact that individual standard signals can be tested in a mode of demodulating signal analysis contents, signals in other frequency bands need to be used in a basic spectrum analyzer, and requirements on service capacity of testers are high. Fourth, it is difficult to identify the co-frequency interference signal by manual mode, the operation of the switch of the railway base station must be matched to eliminate interference, a large number of points are needed to be matched for detection, and the development difficulty is high. In addition, the traditional mode has higher test cost and is related to the number of data acquisition points, the number of systems, the frequency range and the test times; the actual application effect is poor as a whole, and the actual operation requirement is difficult to meet.
In recent years, the high-speed railway industry has appeared equipment for automatic testing or online monitoring of the GSM-R system, but only stays in monitoring the wireless electromagnetic environment of the single-system signal of the GSM-R system. The on-line monitoring equipment is used for identifying and processing the same-frequency interference in two general modes; signal demodulation is carried out, and the signal demodulation is realized at the rear end through the contrast analysis of various base stations or signaling identifiers; or by a fast fourier transform based technique such as digital fluorescence spectrum display.
If the same-frequency interference identification is realized in a demodulation mode, the monitoring equipment must be configured with radio frequency and baseband equipment in corresponding frequency bands, and for the urban rail transit field with more wireless systems, the software and hardware scale of the monitoring equipment in the implementation mode becomes huge, and the cost is quite expensive. For realizing the same-frequency interference identification scheme by the digital fluorescence spectrum display technology, the interference signal and the useful signal are essentially required to be incompletely overlapped in the time domain, the interference signal strength is limited, and the low-energy signals of the same time and same frequency point cannot be identified. Both schemes are very limited in practical application and still have serious monitoring loopholes.
Disclosure of Invention
The invention aims to provide an on-line electromagnetic environment monitoring device and method based on radio fingerprint identification, which overcome the defects of the prior art and realize simultaneous monitoring of signals with multiple frequency bands and multiple systems.
The technical scheme adopted by the invention is as follows:
on-line electromagnetic environment monitoring device based on radio fingerprint identification, its characterized in that:
the device comprises:
a radio frequency receiving module: collecting electromagnetic waves in a target frequency band;
digital-to-analog conversion and sampling module: converting the electromagnetic wave analog signal into a digital signal, setting a threshold value, and extracting an effective sample signal in a target frequency band;
the time-frequency domain transformation digital processing module: completing time-frequency domain transformation on the acquired sample signals, and obtaining characteristic parameters of the sample signals after spectrum analysis;
a frequency database module: the method is used for storing authorized frequency and frequency point information;
a radio fingerprint database module: for storing the radio fingerprint information of the authorized base station, terminal equipment;
interference identification module: comparing and judging according to the authorized frequency, the frequency point information and the characteristic parameters of the sample signal and the frequency database, and if the same frequency interference of the authorized frequency band is judged, extracting a radio fingerprint from the sample signal through a radio fingerprint identification algorithm, and further comparing and analyzing the sample signal with a radio fingerprint database module to obtain a result;
and a result analysis module: and the primary result of interference identification is used for carrying out interference degree analysis by combining the conditions of the same-frequency interference protection and adjacent-frequency interference protection corresponding to the authorized frequency point signal system to obtain a monitoring result.
The radio frequency receiving module comprises a receiving antenna, a filter, a low-noise amplifier, a radio frequency local oscillator and a mixer, and is used for collecting electromagnetic waves in a target frequency band, receiving, filtering, amplifying and down-converting radio frequency signals.
The time-frequency domain transformation digital processing module completes time-frequency domain transformation on the acquired sample signals through a processing mode based on fast Fourier transformation, and spectrum analysis is carried out through an energy domain and feature domain sensing algorithm to obtain feature parameters of the sample signals, wherein the feature parameters comprise a center frequency point, a frequency bandwidth and an amplitude.
The frequency database module has a dynamic updating function.
The radio fingerprint database module is provided with a threshold value, and for new fingerprints outside an authorized database which occur regularly at a certain frequency, the new fingerprints automatically belong to a white list and have a dynamic updating function.
The interference recognition module performs comparison and judgment according to the frequency database:
when the adjacent frequency interference of the authorized frequency point is judged, further carrying out amplitude analysis;
and when the same-frequency interference of the authorized frequency band is judged, the radio fingerprint is extracted from the sample signal through a radio fingerprint identification algorithm, and then the sample signal is further compared with a radio fingerprint database module for analysis to obtain a result.
The online electromagnetic environment monitoring method based on radio fingerprint identification is characterized by comprising the following steps of:
the method comprises the following steps:
s1, remotely setting system parameters on line or locally, and configuring radio fingerprints of an authorized frequency point, an authorized base station and terminal equipment, sensitivity information for interference identification and requirements in an electromagnetic environment monitoring device;
s2, arranging one or more monitoring device front-end devices near the target area, and collecting electromagnetic wave signals within the range of the target frequency band on site;
s3, performing radio frequency down conversion, digital-to-analog conversion and spectrum analysis on the collected effective sample signals; comparing the result with an authorized frequency database to obtain a preliminary analysis result;
s4, pushing the preliminarily analyzed adjacent frequency signals to an adjacent frequency interference analysis flow;
s5, pushing the preliminarily analyzed same-frequency signals to a same-frequency interference analysis flow, starting a radio fingerprint extraction processing function of the interference signals, comparing the radio fingerprint extraction processing function with a fingerprint library of authorized equipment, and judging whether the radio fingerprint extraction processing function is an unauthorized base station or a terminal;
s6, reporting the adjacent frequency and same frequency interference analysis results to background equipment of the monitoring device, quantitatively judging the interference degree, obtaining the monitoring result, and attaching time and place information to the event analysis result.
S2, extracting effective sample signals in a target frequency band from electromagnetic wave signals according to a set threshold value and by means of a characteristic domain algorithm and a software radio technology, and performing interference identification on the effective sample signals; and identifying parameters of a center frequency point, a bandwidth and a signal amplitude of the signal through an energy domain algorithm and a fast Fourier transform algorithm, and primarily and qualitatively distinguishing the signal belonging to adjacent frequency interference or co-frequency interference signals according to information in an authorization database.
The identification of co-channel interference is achieved by a radio fingerprint based identification algorithm.
The quantized adjacent frequency/common frequency interference analysis flow is as follows: and (3) sending the frequency and amplitude information of the signal which is primarily characterized as adjacent frequency/same frequency interference to a background, and quantitatively comparing the background with the preset radio frequency index parameters of the on-site engineering equipment and the standard protocol parameters of the corresponding wireless communication system to judge whether the intensity of the adjacent frequency/same frequency interference can damage the on-site engineering equipment.
The invention has the following advantages:
the invention discloses an on-line monitoring device of a wireless electromagnetic environment and a method for identifying and analyzing monitoring target interference, which aim at a target frequency band, and realize electromagnetic environment monitoring, interference analysis and alarm reporting in a full period in a 24-hour continuous and dynamic monitoring mode. The device is based on a software radio architecture and a unified algorithm platform, is not limited by a specific wireless communication system and an air interface protocol, does not depend on demodulation of signals, can realize simultaneous monitoring of signals with multiple frequency bands and multiple systems through selective configuration of a few optional matching devices, and can accurately identify co-channel interference through a radio fingerprint algorithm.
Drawings
Fig. 1 is a schematic diagram of a monitoring device networking.
Fig. 2 is a schematic diagram of the logic structure of the monitoring device.
Fig. 3 is a flow chart of an on-line monitoring signal processing.
Detailed Description
The present invention will be described in detail with reference to the following embodiments.
The invention relates to an online electromagnetic environment monitoring device based on radio fingerprint identification, which comprises:
a radio frequency receiving module: collecting electromagnetic waves in a target frequency band;
digital-to-analog conversion and sampling module: converting the electromagnetic wave analog signal into a digital signal, setting a threshold value, and extracting an effective sample signal in a target frequency band;
the time-frequency domain transformation digital processing module: completing time-frequency domain transformation on the acquired sample signals, and obtaining characteristic parameters of the sample signals after spectrum analysis;
a frequency database module: the method is used for storing authorized frequency and frequency point information;
a radio fingerprint database module: for storing the radio fingerprint information of the authorized base station, terminal equipment;
interference identification module: comparing and judging according to the authorized frequency, the frequency point information and the characteristic parameters of the sample signal and the frequency database, and if the same frequency interference of the authorized frequency band is judged, extracting a radio fingerprint from the sample signal through a radio fingerprint identification algorithm, and further comparing and analyzing the sample signal with a radio fingerprint database module to obtain a result;
and a result analysis module: and the primary result of interference identification is used for carrying out interference degree analysis by combining the conditions of the same-frequency interference protection and adjacent-frequency interference protection corresponding to the authorized frequency point signal system to obtain a monitoring result.
The radio frequency receiving module comprises a receiving antenna, a filter, a low-noise amplifier, a radio frequency local oscillator and a mixer, and is used for collecting electromagnetic waves in a target frequency band, receiving, filtering, amplifying and down-converting radio frequency signals. The monitored frequency range comprises 350MHz, 800MHz, 900MHz, 1.8GHz, 2.4GHz and 5GHz; the monitored wireless signal system comprises PDT, TETRA, GSM-R, LTE-M and 802.11 series.
Digital-to-analog conversion and sampling module: and converting the analog signal into a digital signal, setting a threshold value, and extracting an effective sample signal in a target frequency band. The analog-to-digital conversion is realized by a high-speed ADC with the sampling rate of more than 200Msps and more than 11 bits.
The time-frequency domain transformation digital processing module completes time-frequency domain transformation on the acquired sample signals through a processing mode based on Fast Fourier Transformation (FFT), and carries out frequency spectrum analysis through an energy domain and characteristic domain sensing algorithm to obtain characteristic parameters of the sample signals, wherein the characteristic parameters comprise a center frequency point, a frequency bandwidth and an amplitude.
The frequency database module has a dynamic updating function.
The radio fingerprint database module stores radio fingerprint (Radio Frequency Fingerprinting) information of the authorized base station and the terminal equipment, sets a threshold value, automatically belongs to a white list for new fingerprints outside the authorized base which appear regularly at a certain frequency, and has the functions of dynamic updating and learning.
The interference recognition module performs comparison and judgment according to the frequency database: when the adjacent frequency interference of the authorized frequency point is judged, further carrying out amplitude analysis; and when the same-frequency interference of the authorized frequency band is judged, the radio fingerprint is extracted from the sample signal through a radio fingerprint identification algorithm, and then the sample signal is further compared with a radio fingerprint database module for analysis to obtain a result.
The functional modules of the monitoring device are logically arranged in rows, and when the monitoring device is realized, a plurality of functional modules can be combined on the same physical module, and the functional modules can be further split into a plurality of physical or functional modules, but the functions are consistent.
Preferably, the front-end acquisition device of the monitoring device is an outdoor device, and has a protection level of IP65 or above.
Preferably, the front-end acquisition equipment of the monitoring device is fixed or mobile.
Preferably, the monitoring device is an on-line type, and can continuously monitor for 24 hours by 7 days; but the monitoring results may be uploaded in real time or semi-real time.
Preferably, the monitoring device is capable of dynamically learning and updating a database.
Preferably, the monitoring device can realize multipoint collaborative sensing in a distributed monitoring mode; and the frequency spectrum sensing accuracy is improved in a training mode.
Preferably, the monitoring device is based on a software radio mode, can realize the monitoring of one or more standards and one or more frequency bands through a small amount of changes of radio frequency devices, and does not depend on digital demodulation.
Preferably, the power taking mode of the monitoring device can be realized through a remote power supply mode, a storage battery mode or a solar energy field mode. The front-end equipment of the monitoring device is provided with a solar panel and a storage battery. The centralized power supply mode is that the machine room side alternating current and direct current power supply equipment is remotely powered through a power supply cable. The battery power supply mode is that the mobile device adopts a built-in battery to supply power. Various power supply modes can realize stable and reliable power supply effect.
Preferably, the data backhaul scheme of the front-end device of the monitoring device may be implemented through an optical fiber backhaul or an internet of things (wired or wireless) backhaul.
Preferably, the monitoring device radio fingerprint identification algorithm can be implemented by using a transient signal-based fingerprint extraction technology or a steady signal-based fingerprint extraction technology, for example, using algorithms such as bispectrum, energy entropy, color moment, support vector machine, wavelet analysis, hilbert yellow transform and the like.
The online electromagnetic environment monitoring method based on the radio fingerprint identification, which is implemented on the basis of the device, comprises the following steps:
s1, remotely setting system parameters on line or locally, and configuring radio fingerprints of an authorized frequency point, an authorized base station and terminal equipment, sensitivity information for interference identification and requirements in an electromagnetic environment monitoring device;
s2, arranging one or more monitoring device front-end devices near the target area, and collecting electromagnetic wave signals within the range of the target frequency band on site;
s3, performing radio frequency down conversion, digital-to-analog conversion and spectrum analysis on the collected effective sample signals; comparing the result with an authorized frequency database to obtain a preliminary analysis result;
s4, pushing the preliminarily analyzed adjacent frequency signals to an adjacent frequency interference analysis flow;
s5, pushing the preliminarily analyzed same-frequency signals to a same-frequency interference analysis flow, starting a radio fingerprint extraction processing function of the interference signals, comparing the radio fingerprint extraction processing function with a fingerprint library of authorized equipment, and judging whether the radio fingerprint extraction processing function is an unauthorized base station or a terminal;
s6, reporting the adjacent frequency and same frequency interference analysis results to background equipment of the monitoring device, quantitatively judging the interference degree, obtaining the monitoring result, and attaching time and place information to the event analysis result.
The method comprises the following steps:
and S2, extracting effective sample signals in a target frequency band from the electromagnetic wave signals according to a set threshold value by means of a characteristic domain algorithm and a software radio technology, and carrying out interference identification on the effective sample signals. And identifying parameters such as a center frequency point, a bandwidth, a signal amplitude and the like of the signal through an energy domain algorithm and a fast Fourier transform algorithm, and primarily and qualitatively distinguishing the signal belonging to adjacent frequency interference or co-frequency interference signals according to information in an authorization database.
The device has the same-frequency interference identification function, and the same-frequency interference identification is realized by a radio fingerprint identification algorithm.
The adjacent frequency/common frequency interference analysis flow is quantized: and (3) sending the frequency and amplitude information of the signal which is primarily characterized as adjacent frequency/same frequency interference to a background, and quantitatively comparing the background with the preset radio frequency index parameters of the on-site engineering equipment and the standard protocol parameters of the corresponding wireless communication system to judge whether the intensity of the adjacent frequency/same frequency interference can damage the on-site engineering equipment.
Referring to the drawings, the invention is further described in detail by taking an online electromagnetic environment monitoring implementation of an 800MHz frequency band where a subway TETRA system is located as an example. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The device is composed of front-end equipment for on-line monitoring of electromagnetic environment and background equipment of a monitoring center. The specific equipment comprises the following functional modules:
a radio frequency receiving module: the method is used for collecting radio wave signals, sweeping the frequency of a target frequency band, and realizing the receiving, filtering and amplifying of radio frequency signals, and down-conversion of the radio frequency signals. Specifically, the device consists of an 800MHz receiving antenna, a filter, a low noise amplifier, a radio frequency local oscillator, a mixer and the like.
Digital-to-analog conversion and sampling module: the analog intermediate frequency signal is converted into a digital signal after being sampled by an ADC, a threshold value is set to extract an effective sample signal in a target frequency band, wherein the analog-to-digital conversion is realized by a high-speed ADC with the sampling rate of more than 11 bits and the sampling rate of more than 200 Msps.
The time-frequency domain transformation digital processing module: completing time-frequency domain transformation on the collected sample signals by a processing mode based on Fast Fourier Transformation (FFT); and performing spectrum analysis in an energy domain and feature domain sensing mode to obtain the feature parameters such as a center frequency point, a frequency bandwidth, an amplitude and the like of the sample signal.
Interference identification module: and comparing and judging according to the information of the authorized frequency point and the characteristic parameters of the sample signal and the frequency database of the device. And judging the adjacent frequency interference of the authorized frequency point, and further carrying out amplitude analysis. And judging the same-frequency interference of the authorized frequency band, extracting a radio fingerprint from the sample signal through a radio fingerprint identification algorithm, and further comparing and analyzing the sample signal with a radio fingerprint database module of the device to obtain a result.
A frequency database module: and the method is used for storing the authorized frequency and the frequency point information. Has the function of dynamic update.
A radio fingerprint database module: for storing the radio fingerprint (Radio Frequency Fingerprinting) information of the authorized base station, terminal device. Has dynamic updating and learning functions. Setting a threshold value, and automatically attributing new fingerprints outside an authorized library to a white list, wherein the new fingerprints appear regularly at a certain frequency.
And a result analysis module: and the primary result of interference identification is used for carrying out interference degree analysis by combining the conditions of common-frequency interference protection, adjacent-frequency interference protection and the like corresponding to the authorized frequency point signal system, so as to obtain a monitoring result.
An online electromagnetic environment monitoring method based on radio fingerprint identification, which is realized by an online electromagnetic environment monitoring device based on radio fingerprint identification, comprises the following steps:
s1, setting system parameters, defining a sweep frequency range in 806-821MHz and 851-866MHz, and configuring information such as radio fingerprints of all base stations, vehicle-mounted stations, fixed stations, handheld stations and other terminal equipment in the project, wherein the information is authorized to frequency points of the project without committee;
s2, arranging front-end equipment of a plurality of monitoring devices at a certain density near the subway line, and collecting electromagnetic wave signals in the frequency range of 806-821MHz and 851-866MHz on site; 24 hours of online collection is required.
S3, performing radio frequency down conversion, digital-to-analog conversion and FFT spectrum analysis on the collected effective sample signals. Comparing the signal with an authorized frequency database, and preliminarily judging whether the acquired signal is an adjacent frequency signal or a same frequency signal;
s4, pushing the preliminarily analyzed adjacent frequency signals to an adjacent frequency interference analysis flow;
s5, pushing the preliminarily analyzed same-frequency signals to a same-frequency interference analysis flow, starting a radio fingerprint extraction processing function of the interference signals, comparing the radio fingerprint extraction processing function with a fingerprint library of authorized equipment, and judging whether the radio fingerprint extraction processing function is an unauthorized base station or a terminal;
s6, reporting the preliminary analysis results of adjacent frequency interference and same frequency interference to the background equipment through the internet of things return unit. For the TETRA system, the same-frequency interference protection ratio is 19dB, the adjacent-frequency interference protection ratio is-45 dB, and the interference degree is quantitatively judged to obtain the monitoring result. And attach time and place information to the event analysis result.
The front-end equipment of the monitoring device has IP67 protection level and higher outdoor survivability in a field solar power supply mode interval.
The technical means disclosed by the scheme of the invention is not limited to the technical means disclosed in the specific embodiment, and also comprises the technical scheme formed by any combination of the technical features.
The content of the invention is not limited to the examples listed, and any equivalent transformation to the technical solution of the invention that a person skilled in the art can take on by reading the description of the invention is covered by the claims of the invention.
Claims (7)
1. On-line electromagnetic environment monitoring device based on radio fingerprint identification, its characterized in that:
the device comprises:
a radio frequency receiving module: collecting electromagnetic waves in a target frequency band;
digital-to-analog conversion and sampling module: converting the electromagnetic wave analog signal into a digital signal, setting a threshold value, and extracting an effective sample signal in a target frequency band;
the time-frequency domain transformation digital processing module: completing time-frequency domain transformation on the acquired sample signals, and obtaining characteristic parameters of the sample signals after spectrum analysis;
a frequency database module: the method is used for storing authorized frequency and frequency point information;
a radio fingerprint database module: for storing the radio fingerprint information of the authorized base station, terminal equipment;
interference identification module: comparing and judging according to the authorized frequency, the frequency point information and the characteristic parameters of the sample signal and the frequency database, and if the same frequency interference of the authorized frequency band is judged, extracting a radio fingerprint from the sample signal through a radio fingerprint identification algorithm, and further comparing and analyzing the sample signal with a radio fingerprint database module to obtain a result;
and a result analysis module: the method comprises the steps of carrying out interference degree analysis on a preliminary result of interference identification by combining with the conditions of same-frequency interference protection and adjacent-frequency interference protection corresponding to a signal system of an authorized frequency point to obtain a monitoring result;
the frequency database module has a dynamic updating function;
setting a threshold value in a radio fingerprint database module, and automatically attaching new fingerprints outside an authorized library, which occur regularly at a certain frequency, to a white list, thereby having a dynamic updating function;
the interference recognition module performs comparison and judgment according to the frequency database:
when the adjacent frequency interference of the authorized frequency point is judged, further carrying out amplitude analysis;
and when the same-frequency interference of the authorized frequency band is judged, the radio fingerprint is extracted from the sample signal through a radio fingerprint identification algorithm, and then the sample signal is further compared with a radio fingerprint database module for analysis to obtain a result.
2. The online electromagnetic environment monitoring device based on radio fingerprint recognition according to claim 1, wherein:
the radio frequency receiving module comprises a receiving antenna, a filter, a low-noise amplifier, a radio frequency local oscillator and a mixer, and is used for collecting electromagnetic waves in a target frequency band, receiving, filtering, amplifying and down-converting radio frequency signals.
3. The online electromagnetic environment monitoring device based on radio fingerprint recognition according to claim 2, wherein:
the time-frequency domain transformation digital processing module completes time-frequency domain transformation on the acquired sample signals through a processing mode based on fast Fourier transformation, and spectrum analysis is carried out through an energy domain and feature domain sensing algorithm to obtain feature parameters of the sample signals, wherein the feature parameters comprise a center frequency point, a frequency bandwidth and an amplitude.
4. A method of monitoring an online electromagnetic environment monitoring device based on radio fingerprinting according to any of claims 1-3, characterized in that:
the method comprises the following steps:
s1, remotely setting system parameters on line or locally, and configuring radio fingerprints of an authorized frequency point, an authorized base station and terminal equipment, sensitivity information for interference identification and requirements in an electromagnetic environment monitoring device;
s2, arranging one or more monitoring device front-end devices near the target area, and collecting electromagnetic wave signals within the range of the target frequency band on site;
s3, performing radio frequency down conversion, digital-to-analog conversion and spectrum analysis on the collected effective sample signals; comparing the result with an authorized frequency database to obtain a preliminary analysis result;
s4, pushing the preliminarily analyzed adjacent frequency signals to an adjacent frequency interference analysis flow;
s5, pushing the preliminarily analyzed same-frequency signals to a same-frequency interference analysis flow, starting a radio fingerprint extraction processing function of the interference signals, comparing the radio fingerprint extraction processing function with a fingerprint library of authorized equipment, and judging whether the radio fingerprint extraction processing function is an unauthorized base station or a terminal;
s6, reporting the adjacent frequency and same frequency interference analysis results to background equipment of the monitoring device, quantitatively judging the interference degree, obtaining the monitoring result, and attaching time and place information to the event analysis result.
5. The method for monitoring the online electromagnetic environment monitoring device based on radio fingerprint recognition according to claim 4, wherein:
s2, extracting effective sample signals in a target frequency band from electromagnetic wave signals according to a set threshold value and by means of a characteristic domain algorithm and a software radio technology, and performing interference identification on the effective sample signals; and identifying parameters of a center frequency point, a bandwidth and a signal amplitude of the signal through an energy domain algorithm and a fast Fourier transform algorithm, and primarily and qualitatively distinguishing the signal belonging to adjacent frequency interference or co-frequency interference signals according to information in an authorization database.
6. The method for monitoring the online electromagnetic environment monitoring device based on radio fingerprint recognition according to claim 5, wherein:
the identification of co-channel interference is achieved by a radio fingerprint based identification algorithm.
7. The method for monitoring the online electromagnetic environment monitoring device based on radio fingerprint recognition according to claim 6, wherein:
the quantized adjacent frequency/common frequency interference analysis flow is as follows: and (3) sending the frequency and amplitude information of the signal which is primarily characterized as adjacent frequency/same frequency interference to a background, and quantitatively comparing the background with the preset radio frequency index parameters of the on-site engineering equipment and the standard protocol parameters of the corresponding wireless communication system to judge whether the intensity of the adjacent frequency/same frequency interference can damage the on-site engineering equipment.
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| CN113038519B (en) * | 2021-03-15 | 2023-04-07 | 上海应用技术大学 | Intelligent monitoring system for rail transit train-ground wireless communication and decision tree method |
| CN113671249B (en) * | 2021-08-27 | 2023-06-02 | 中国科学院云南天文台 | Real-time omnibearing scanning radio environment monitoring system |
| CN113869185B (en) * | 2021-09-24 | 2024-05-14 | 哈尔滨工程大学 | Reconfigurable signal acquisition and analysis system and method based on dynamic link library |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103038662A (en) * | 2010-06-08 | 2013-04-10 | Q－Track股份有限公司 | Method and apparatus for determining location using signals-of-opportunity |
| CN204945316U (en) * | 2015-09-09 | 2016-01-06 | 国家电网公司 | The harvester of live detection electromagnetic interference (EMI) is put in office of transformer station |
| CN108449752A (en) * | 2018-03-15 | 2018-08-24 | 浙江大学 | A kind of pseudo-base station evidence taking equipment and the long-range evidence collecting method of pseudo-base station based on radio-frequency fingerprint |
| CN109374985A (en) * | 2018-08-17 | 2019-02-22 | 中国电子科技集团公司电子科学研究院 | Electromagnetic environment monitor method, system and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10237770B2 (en) * | 2013-03-15 | 2019-03-19 | DGS Global Systems, Inc. | Systems, methods, and devices having databases and automated reports for electronic spectrum management |
| EP3276527B1 (en) * | 2014-06-02 | 2020-09-16 | Bastille Networks, Inc. | Electromagnetic threat detection and mitigation in the internet of things |
-
2020
- 2020-07-31 CN CN202010757168.2A patent/CN111950410B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103038662A (en) * | 2010-06-08 | 2013-04-10 | Q－Track股份有限公司 | Method and apparatus for determining location using signals-of-opportunity |
| CN204945316U (en) * | 2015-09-09 | 2016-01-06 | 国家电网公司 | The harvester of live detection electromagnetic interference (EMI) is put in office of transformer station |
| CN108449752A (en) * | 2018-03-15 | 2018-08-24 | 浙江大学 | A kind of pseudo-base station evidence taking equipment and the long-range evidence collecting method of pseudo-base station based on radio-frequency fingerprint |
| CN109374985A (en) * | 2018-08-17 | 2019-02-22 | 中国电子科技集团公司电子科学研究院 | Electromagnetic environment monitor method, system and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| "基于射频记录与回放的航空无线电信号监测系统的实现";薛昭;<城市建设理论研究(电子版>;20180715;全文 * |
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