CN102694607A - Networked software radio signal monitoring method aiming at mobile interference source and system thereof - Google Patents
Networked software radio signal monitoring method aiming at mobile interference source and system thereof Download PDFInfo
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Abstract
A networked software radio signal monitoring method aiming at a mobile interference source and a system thereof are disclosed. The invention relates to the radio communication monitoring method aiming at a high speed motion interference source. The method is characterized in that: a broadband radio signal receiving module, a large capacity digit signal processing module and a high speed network and high performance calculating center are comprised; monitoring nodes formed by the broadband radio signal receiving module and the large capacity digit signal processing module are used, a large amount of the monitoring nodes are distributed in a whole monitoring area, all the monitoring nodes are interconnected with each other through a high speed network and are connected to the high performance calculating center; through carrying out fusion analysis on information reported by the plurality of monitoring nodes and according to a preset interference source template, the calculating center carries out interference source identification, motion interference source track drafting and tracking, and interference source motion track prediction and issues a specific monitoring instruction for the monitoring nodes according to the prediction. By using the method, the identification, the tracking and the prediction of the plurality of motion interference sources can be simultaneously supported.
Description
Technical field
The invention belongs to wireless signal monitoring field, be specifically related to a kind of to the networked software wireless signal monitoring method that moves interference source.
Background technology
Radio monitoring adopts advanced technological means and certain device that radio transmission frequencies, frequency error, transmitted bandwidth etc. are measured, and voice signal is monitored, and pirate radio and interference source direction finding is located investigate and prosecute etc.
The radio prediction is meant detection, search, intercepts and captures the radio signal in the radio control region; And the activity of this radio signal being analyzed, discern, keeping watch on and obtaining technical information such as its technical parameter, operating characteristic and radiation position; He is an important means foundation of effectively implementing radio control, also is the important branch of radio spectrum management.
Mobile position of interference source such as low-latitude flying thing, surface car changes fast, and is short to the duration of disturbance in normal signal source, is difficult to catch fast at single-point, thereby easily communication system integral body caused lasting, large-scale Communication Jamming and destruction.
The detection method of current mobile wireless interference source is: two radio detection nodes and an arithmetic element are arranged in a surveyed area; The time difference of two fixing two nodes of radio detection node measurement interference signal arrival when having interference source to pass through this zone; Arithmetic element calculates the interior interfering nodes position of detection range and the motion track of current detection node; Because the restriction of operational capability; When the motion artifacts source speed is big, can not calculate continuous movement locus, and the movement locus of the interference source in will realizing is in a big way described; Must realize not having the support of network can only be through a lot of monitored area through add up the movement locus that each surveyed area data are depicted interference source afterwards.
Summary of the invention
The objective of the invention is to provide a kind of method and system to the networked software wireless signal monitoring that moves interference source; Realizing identification, tracking and prediction, thereby solved the wireless signal monitoring problem of mobile interference sources such as low-latitude flying thing, surface car to the interference source of fast moving.
The networked software wireless signal monitoring method that the present invention proposes; Interference range to the high-speed motion interference source exists is wide, and is short in the regional area interference signal duration, but in overall region the continuous characteristics of interference signal; Use a plurality of monitoring nodes that can monitor regional area; Be connected to the rear end cloud computing platform through express network, cloud computing platform merges the data that a plurality of monitoring nodes are monitored in the rear end, to realize the monitoring to a plurality of monitoring nodes monitored area union zone.
Wherein, monitoring node is realized by the common software radio platforms of integrated wideband reception antenna, wideband wireless signal receiver module, high-speed ADC module and high-performance FPGA.As shown in Figure 1.
Move the interference source monitoring system: this system is connected mutually through express network by the monitoring node of One's name is legion, and is connected with HLRS.Monitoring node is distributed in different zones, and the merging through the monitored area is to realize the monitoring to extensive area.Monitoring node can be realized two-way communicating by letter with HLRS; HLRS can carry out real-time processing to the data that monitoring node provides; According to the logical communication link convergence analysis of the discrete point that monitors on space-time; Confirm that the track fusion of moving interference source obtains information available, thereby further monitoring node is controlled.As shown in Figure 2.
Monitoring node once can monitor and handle in real time the spectral range more than the 100MHz, can carry out continuous sweep to the wireless signal in the 0-5.8GHz scope through dynamic renewal centre frequency.The scope that monitoring node can be monitored is to be the circle of radius with r rice, and mobile object moves with the speed of v meter per second.Then monitoring node time that can monitor mobile object from 0 second (when mobile node along the tangent line of the circle of monitoring node guarded region through) to 2r/v second (when the diameter of mobile node along the circle of monitoring node guarded region passes through).The time of monitoring node scanning 100MHz signal demand is Ts second, and scanning entire spectrum scope 0-F MHz required time is F*Ts/100 second.Under the situation of not specifying specific swept frequency range, monitor node needs the continuous entire spectrum scope is scanned.Therefore can to scan the number of times Cs computing formula that moves interference source following for single monitoring node:
0＜＝Cs＜＝200*r/(v*F*Ts) (1)
When the v=200 meter per second, F=5800MHz, r=10000 rice, Ts=0.01 are during second, and then the Cs maximum is 172.4 times.
(3 when above there being 3; Can appoint and get 3 monitoring nodes) monitoring node monitor move interference source after; According to receiving signal strength signal intensity S and free space propagation model; Under the situation of different supposition transmitted powers, calculate the position candidate (position candidate is the circle of radius with transmission range L for being the center of circle with the monitoring node) that moves interference source.
Shown in the left side among Fig. 3, when the transmitted power of the mobile interference source of hypothesis is Pt1, MS1; MS2 and MS3 utilize the free space propagation model according to the signal strength signal intensity that receives separately, calculate candidate region separately; But do not occur simultaneously in three candidate regions; Shown in Fig. 3 the right, when the transmitted power of the mobile interference source of supposing reduces to Pt2, MS1; The candidate region that MS2 and MS3 calculate just in time meets at a bit, and this point is promptly through obtaining the position of a mobile interference source after the data fusion that in the cloud computing platform of backstage, a plurality of monitoring nodes is collected.The position of a plurality of mobile interference sources that obtain through more combination calculation that move interference sources more, and calculate the position desired value that moves interference source through the mode of probability.
Through the mobile position of interference source that obtains in the different time is merged the track that obtains moving interference source; When having a plurality of mobile interference source; Need utilize the logical relation of interference position on sequential to carry out data fusion, thereby distinguish the different tracks that move interference source.Can calculate its movement velocity, direction according to the historical track that moves interference source equally, thereby can predict, thereby monitor node is controlled, improve the specific aim of monitor node control its motion and interference range.
When certain monitoring node monitors mobile interference source in the specific frequency spectrum scope after; Can be through after being aggregated into the backstage cloud computing platform; Notify neighbours' monitoring node to get into the pattern of paying close attention to; To reduce the swept frequency range of neighbours' monitoring node, move the number of times that interference source is monitored to thereby improve, increase and move the positional precision that interference source is monitored by fusion.
Description of drawings
Fig. 1 is the detector structure that is used for monitoring node
Fig. 2 is for moving interference source monitoring system framework
Fig. 3 is for moving interference source computational methods sketch map
Embodiment
Monitoring node: use USRP/USRP2 platform and WBX wide frequency RF receiving front-end.
USRP has 4 high speed analog-digital converters (ADCs), every symbol 12 bits, 64M symbol/second; Other has 4 high-speed figure analog converters (DACs), every symbol 14 bits, 128M symbol/second; These 4 input and output passages are connected on the Cyclone EP1C12 FPGA of Altera; FPGA and then be connected to USB2 interface chip-Cypress FX2 and be connected on the computer, USRP only is connected to computer through high speed USB 2 interfaces and uses.
USRP2 is allowing the more broadband signal of use with precision (14 of the 100MHz) ADCs of more speed and Geng Gao with (16 of 400MHz) DACs, has increased the dynamic range of signal.To the DSP optimizing application large-scale field programmable gate array (FPGA) can be at dealing with complicated waveform under the high sampling rate.Gigabit Ethernet network interface makes application program can use USRP2 [3] to send or accept the radio frequency bandwidth of 50MHz simultaneously.In USRP2 [3], FPGA has occurred such as high-speed sampling processors such as digital up converter and low-converters.Can be on host computer than the operation of low sampling rate, even can have 32 risc microcontrollers and have large user to design on the FPGA of free space very much to do.The configuration of USRP2 [3] and firmware are stored in the SD flash card, need not special hardware and just can easily programme.Express network: the private internet outlet of using 2M to export is carried out all monitoring nodes interconnected, and inserts HLRS through the internet interface of 20M, is Centroid with the HLRS, constitutes the logical topology structure of a star.
HLRS: use ten thousand net cloud service Xiang cloud V-types, processor 8 nuclears, internal memory 16G, hard disk 750G, bandwidth 1G shares, the 2M upper limit.
Claims (9)
1. the radio communication monitoring method of a mobile interference source; It is characterized in that: a plurality of monitoring nodes carry out high-precision FFT conversion with the signal that receives and discern based on the signal of modulation; Arrive HLRS through Network Transmission; Computer center carries out convergence analysis according to the predefined interference source template that storage in the historical monitoring information obtains through the information that a plurality of monitoring nodes are reported, and confirms to move the track of interference source.
2. radio communication monitoring method as claimed in claim 1 further comprises and moves interference source tracking or motion track prediction.
3. radio communication monitoring method as claimed in claim 2 further comprises according to prediction monitoring node is issued specific monitoring instruction.
4. radio communication monitoring method as claimed in claim 1; It is characterized in that said monitoring node once can monitor and handle in real time the spectral range more than the 100MHz; Can carry out continuous sweep to the wireless signal in the 0-5.8GHz scope through dynamic renewal centre frequency; The number of times Cs computing formula that said monitoring node can scan mobile interference source is following: 0＜=Cs＜=200*r/ (v*F*Ts), and wherein r is the radius of circular monitoring range, v is for moving the speed of interference source; F is the spectral range of continuous sweep, and Ts is the time of single pass.
5. radio communication monitoring method as claimed in claim 1; It is characterized in that monitoring node according to receiving signal strength signal intensity S and free space propagation model,, calculate the mobile interference source position candidate of each monitoring node monitoring through supposing different transmitted powers; Said position candidate is for being the center of circle with the monitoring node; With transmission range L is the circle of radius, when the corresponding position candidate of different monitoring nodes intersects at a point, confirms to move the transmitted power and the position thereof of interference source.
6. radio communication monitoring method as claimed in claim 1 is characterized in that through the mobile position of interference source that obtains in the different time is merged the track that obtains moving interference source.
7. radio communication monitoring method as claimed in claim 1 is characterized in that when having a plurality of mobile interference source, utilizing the logical relation of discrete interference position on space-time that monitors to carry out data fusion, thereby distinguishing the different tracks that move interference sources.
8. radio communication monitoring method as claimed in claim 1; Further comprise when certain monitoring node monitors mobile interference source in the specific frequency spectrum scope after; Notify neighbours' monitoring node to get into the pattern of paying close attention to through the HLRS forwarding; To reduce the swept frequency range of neighbours' monitoring node, move the number of times that interference source is monitored to thereby improve, increase and move the positional precision that interference source is monitored by fusion.
9. the wireless communication monitoring system of a mobile interference source; It is characterized in that comprising the detector, express network and the HLRS that are positioned at monitoring node; Said detector comprises the wireless signal receiver module and the large capacity digital signal processing module of wideband reception antenna, wideband, and a plurality of monitoring nodes are distributed in the whole monitored area, has overlapping between monitoring node but does not overlap; Each monitoring node is responsible for area monitoring; All monitoring nodes are combined and are covered whole monitored area, and all monitoring nodes are interconnected at together through express network, and are connected to HLRS.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103152114A (en) * | 2013-02-22 | 2013-06-12 | 云南大学 | Mobile coordinated radio monitoring method |
| WO2014067057A1 (en) * | 2012-10-30 | 2014-05-08 | 华为技术有限公司 | Method, device and system for collecting and identifying interference |
| CN105007327A (en) * | 2015-07-28 | 2015-10-28 | 北京邮电大学 | Novel cloud computing network system and method based on SDR |
| CN105738867A (en) * | 2016-01-31 | 2016-07-06 | 吉林省广播电视研究所(吉林省新闻出版广电局科技信息中心) | Illegal radio station rapid positioning and monitoring method adopting high-precision clock |
| CN105871485A (en) * | 2016-05-18 | 2016-08-17 | 成都福兰特电子技术股份有限公司 | Gridding centralized type aviation interference monitoring system and method thereof |
| CN106375027A (en) * | 2016-08-31 | 2017-02-01 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring system and method for radio |
| CN107426312A (en) * | 2017-07-21 | 2017-12-01 | 云南大学 | A kind of cognitive radio monitoring method and system based on WEB service |
| CN107659272A (en) * | 2017-09-21 | 2018-02-02 | 天津光电通信技术有限公司 | A kind of new up-converter circuit |
| CN108206797A (en) * | 2016-12-20 | 2018-06-26 | 天津大学（青岛）海洋工程研究院有限公司 | A kind of modulation mode of communication signal self-adaptive identification method based on software radio |
| CN109612568A (en) * | 2018-11-22 | 2019-04-12 | 北京航天易联科技发展有限公司 | A kind of mobile method for interference source identification of vibration source |
| CN110011980A (en) * | 2019-03-13 | 2019-07-12 | 北京邮电大学 | A kind of method and system positioning legitimate user and eavesdropping user |
| CN110677865A (en) * | 2019-09-25 | 2020-01-10 | 北京邮电大学 | Method for positioning external interference source of mobile communication network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1439198A (en) * | 1999-04-28 | 2003-08-27 | Isco国际股份有限公司 | Interference detection, identification, extraction and reporting |
| CN1515125A (en) * | 2000-10-03 | 2004-07-21 | 艾利森公司 | System and method for quantifying accuracy of interference analysis in wireless telecommunications networks |
| US20050100119A1 (en) * | 2003-11-07 | 2005-05-12 | Atheros Communications, Inc. | Adaptive interference immunity control |
| CN201656990U (en) * | 2010-04-08 | 2010-11-24 | 成都西锐科技有限公司 | Intelligent radio interference search system |
-
2011
- 2011-03-25 CN CN2011100731037A patent/CN102694607A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1439198A (en) * | 1999-04-28 | 2003-08-27 | Isco国际股份有限公司 | Interference detection, identification, extraction and reporting |
| CN1515125A (en) * | 2000-10-03 | 2004-07-21 | 艾利森公司 | System and method for quantifying accuracy of interference analysis in wireless telecommunications networks |
| US20050100119A1 (en) * | 2003-11-07 | 2005-05-12 | Atheros Communications, Inc. | Adaptive interference immunity control |
| CN201656990U (en) * | 2010-04-08 | 2010-11-24 | 成都西锐科技有限公司 | Intelligent radio interference search system |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014067057A1 (en) * | 2012-10-30 | 2014-05-08 | 华为技术有限公司 | Method, device and system for collecting and identifying interference |
| US9686700B2 (en) | 2012-10-30 | 2017-06-20 | Huawei Technologies Co., Ltd. | Method, device and system for collecting and identifying interference |
| CN103152114A (en) * | 2013-02-22 | 2013-06-12 | 云南大学 | Mobile coordinated radio monitoring method |
| CN105007327A (en) * | 2015-07-28 | 2015-10-28 | 北京邮电大学 | Novel cloud computing network system and method based on SDR |
| CN105007327B (en) * | 2015-07-28 | 2018-08-14 | 北京邮电大学 | A kind of novel cloud computing network system and its method based on SDR |
| CN105738867A (en) * | 2016-01-31 | 2016-07-06 | 吉林省广播电视研究所(吉林省新闻出版广电局科技信息中心) | Illegal radio station rapid positioning and monitoring method adopting high-precision clock |
| CN105871485A (en) * | 2016-05-18 | 2016-08-17 | 成都福兰特电子技术股份有限公司 | Gridding centralized type aviation interference monitoring system and method thereof |
| CN106375027B (en) * | 2016-08-31 | 2019-03-26 | 成都九华圆通科技发展有限公司 | A kind of intelligent cloud monitoring System and method for for radio |
| CN106375027A (en) * | 2016-08-31 | 2017-02-01 | 成都九华圆通科技发展有限公司 | Intelligent cloud monitoring system and method for radio |
| CN108206797A (en) * | 2016-12-20 | 2018-06-26 | 天津大学（青岛）海洋工程研究院有限公司 | A kind of modulation mode of communication signal self-adaptive identification method based on software radio |
| CN107426312A (en) * | 2017-07-21 | 2017-12-01 | 云南大学 | A kind of cognitive radio monitoring method and system based on WEB service |
| CN107659272A (en) * | 2017-09-21 | 2018-02-02 | 天津光电通信技术有限公司 | A kind of new up-converter circuit |
| CN109612568A (en) * | 2018-11-22 | 2019-04-12 | 北京航天易联科技发展有限公司 | A kind of mobile method for interference source identification of vibration source |
| CN109612568B (en) * | 2018-11-22 | 2021-06-29 | 北京航天易联科技发展有限公司 | Vibration source moving interference source identification method |
| CN110011980A (en) * | 2019-03-13 | 2019-07-12 | 北京邮电大学 | A kind of method and system positioning legitimate user and eavesdropping user |
| CN110677865A (en) * | 2019-09-25 | 2020-01-10 | 北京邮电大学 | Method for positioning external interference source of mobile communication network |
| CN110677865B (en) * | 2019-09-25 | 2020-08-04 | 北京邮电大学 | Method for positioning external interference source of mobile communication network |
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Application publication date: 20120926 |