CN104158611B - Wireless signal Interference Detection system and method based on spectrum analysis - Google Patents

Wireless signal Interference Detection system and method based on spectrum analysis Download PDF

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Publication number
CN104158611B
CN104158611B CN201410411897.7A CN201410411897A CN104158611B CN 104158611 B CN104158611 B CN 104158611B CN 201410411897 A CN201410411897 A CN 201410411897A CN 104158611 B CN104158611 B CN 104158611B
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signal
sum
doubtful
spectrum
time
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CN104158611A (en
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杜军朝
刘惠
张立勇
李曙聪
王增祥
王探云
刘思聪
韩路
孙继东
张应昌
李聪奇
华腾飞
张美清
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Xidian University
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Xidian University
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Abstract

The present invention relates to a kind of wireless signal Interference Detection system based on spectrum analysis.This system includes: data acquisition unit: for collecting the wireless signal in environment, collected wireless signal is carried out fast Fourier transform FFT, to obtain the FFT data with spectrum information, sends collected wireless signal to data pre-processing unit；Data pre-processing unit: for obtaining time-domain information and spectrum information from collected wireless signal, and described time-domain information and spectrum information are passed to feature extraction unit；Feature extraction unit: for the time-domain information acquired in described data pre-processing unit and spectrum information are carried out feature extraction, and send extracted spectrum signature to Classification and Identification unit；Classification and Detection unit: the spectrum signature for being extracted described feature extraction unit is trained and Classification and Identification, sends the result after training and Classification and Identification to display unit；Display unit: be used for providing interactive interface, thus show recognition result.

Description

Wireless signal Interference Detection system and method based on spectrum analysis
Technical field
The invention belongs to wireless communication field, relate to interference source feature extraction, disturbance ecology based on decision tree, Digital Signal Processing and Pattern classification techniques, and it is specifically related to wireless signal based on spectrum analysis interference Detecting system and method.
Background technology
In recent years, along with the fast development of information technology and being continuously increased of communication service kind, user couple The requirement of network is more and more higher.Traditional computer network can not meet this business need enriched constantly Ask.In order to tackle demand, WLAN (WLAN, Wireless Local Area Network) technology should Transport and give birth to.Because WLAN has motility, mobility, the spy that quickly accesses and be easily installed and extend Point, it is widely used.But due to 2.4G ISM (Industrial, Scientific and Medical) Frequency range exists plurality of wireless networks equipment, such as microwave oven, wireless phone, bluetooth equipment, wireless camera Machines etc., the interference that these equipment produces will severely impact the network performance of WLAN.The most effectively detect These interference have very important significance at wireless communication field.
At present, two kinds of cooperation modes of existence between special signal detection network and the network that access is provided: Kind of separate mode, i.e. for the equipment of signal detection be by difference for providing the equipment of network insertion Controller manages, the two without any alternately；Another kind is integration mode, i.e. setting for signal detection Equipment that is standby and that be used for providing network insertion is to be managed by identical controller, for the clothes of signal detection Business device also can process the monitoring data from access point.For being directed to network structure, integration mode compares Have in independent mode can be managed collectively, make full use of access network resource, detect and position convenient etc. excellent Point.
Wireless signal Interference Detection actually needs to be continuously monitored by signal of eating dishes without rice or wine.When eating dishes without rice or wine, signal energy exceedes During threshold value, carry out fast Fourier transform (FFT, Fast Fourier Transformation), and further Output is to WLAN receiver and various evaluator (Classifier).Wherein, WLAN receiver judges dry Whether be WLAN signal, and analyze MAC information further if disturbing, various evaluators judge that non-WLAN believes Number the type of interference source.
Existing interferer signal detection technology major part is all based on frequency spectrum.By analyzing various interference signals Spectrum threshold value, extract spectrum signature and carry out simple classification to carry out interferer signal detection.Existing skill These sorting techniques in art are excessively simple and easily interference signal carried out mistake classification.Therefore, existing Technology needs a kind of wireless signal Interference Detection system and method based on spectrum analysis, thus realizes dry Disturb the quick of signal and accurately identify.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, it is provided that a kind of wireless communication based on spectrum analysis Number Interference Detection system and method, it is achieved the detection of wireless signal interference and analysis.
According to an invention, it is provided that a kind of wireless signal Interference Detection system based on spectrum analysis, its feature Being, described system includes:
Data acquisition unit (710): for collecting the wireless signal in environment, to collected wireless signal Carrying out fast Fourier transform FFT, to obtain the FFT data with spectrum information, wherein said have frequency spectrum The FFT data of information at least includes: wireless signal strength, the wireless signal persistent period, wireless signal time Between stamp and wireless signal at the bottom of make an uproar, and by collected wireless signal and have spectrum information FFT data pass Give data pre-processing unit (720)；
Data pre-processing unit (720): for obtaining time-domain information and from tool from collected wireless signal The FFT data having spectrum information obtains spectrum information, and sends described time-domain information and spectrum information to spy Levy extraction unit (730)；
Feature extraction unit (730): for extracting temporal signatures from acquired time-domain information, and from institute The spectrum information obtained extracts spectrum signature, and sends temporal signatures and spectrum signature to classification and Detection unit (740)；
Classification and Detection unit (740): for the temporal signatures transmitted according to feature unit (730) and frequency spectrum Feature carries out classification and Detection to wireless signal to be detected, and sends classification and Detection result to result and show Unit (750)；
Display unit (750): be used for providing interactive interface, thus show classification and Detection result.
According on the other hand, it is provided that a kind of wireless signal interference detection method based on spectrum analysis, its feature Being, described method includes:
A. collect the wireless signal in environment, collected wireless signal carried out fast Fourier transform FFT, To obtain the FFT data with spectrum information, the wherein said FFT data with spectrum information at least includes: Make an uproar at the bottom of wireless signal strength, wireless signal persistent period, the timestamp of wireless signal and wireless signal；
B. obtain time-domain information from collected wireless signal and obtain from the FFT data with spectrum information Spectrum information；
C. extract temporal signatures from acquired time-domain information, and it is special to extract frequency spectrum from acquired spectrum information Levy；
D. according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, to determine point Class testing result；And
E., interactive interface is provided, thus shows classification and Detection result by described interactive interface.
Preferably, wherein said extract temporal signatures from acquired time-domain information and include: according to acquired Time-domain information, determines the percentage load that the interference signal in certain interference source presented within the cycle, and According to acquired time-domain information, determine the interference signal persistent period within preset time in certain interference source；
And extract spectrum signature from acquired spectrum information to include:
According to acquired spectrum information, determine that the reception signal that the interference signal in certain interference source is met is strong Degree indicating RSSI value；
According to acquired spectrum information, determine the specific frequency spectrum disturbing signal to be met in certain interference source Mid frequency.
Preferably, according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, with Determine that classification and Detection result includes:
A) acquisition has the FFT data of spectrum information；
B) mid frequency of the signal to be detected obtained according to mid frequency subelement, it is judged that signal to be detected is The no characteristic condition meeting microwave oven mid frequency；
If c) meeting the characteristic condition of microwave oven mid frequency, then judge the most whether be that microwave oven detects mould Formula；Otherwise, step a) is carried out；
D) if microwave oven detection pattern, then judge that whether the signal intensity of signal to be detected is more than setting threshold Value MWO_DET_THRESH；Otherwise, step a) is carried out；
If e) signal intensity is more than setting threshold value MWO_DET_THRESH, then judge signal to be detected Whether meet microwave oven MWO narrow band spectrum feature, specifically include: find spectrum peak peak_val and Peak peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak Centered by peak_bin, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold upr_sum, middle width downwards Degree threshold value center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold upr_sum, middle amplitude threshold When center_sum and lower amplitude threshold lwr_sum meets pre-conditioned, determine that signal to be detected meets MWO Narrow band spectrum feature；Otherwise, step a) is carried out；
If f) signal to be detected meets MWO narrow band spectrum feature, it is determined that currently detected doubtful MWO Interference signal；Otherwise, step a) is carried out；
G) judge whether to detect that doubtful MWO disturbs signal first；If it is, initialize doubtful MWO Nuisance counter, and record the initial time doubtful MWO interference signal being detected, carry out step a)； If not detecting that doubtful MWO disturbs signal first, then doubtful MWO nuisance counter is updated；
H) by the time of advent of current doubtful MWO interference signal with doubtful MWO interference signal detected Initial time subtracts each other to obtain time difference, it is judged that time difference whether overtime threshold value；If time difference is more than Time threshold, then reset doubtful MWO nuisance counter, carry out step a)；
If i) time difference is not more than time threshold, then obtain multiple by dutycycle duty_cucle unit The dutycycle Duty_cycle feature of MWO interference signal, if dutycycle Duty_cycle feature meets micro- Ripple stove signal characteristic, then confirm microwave oven interference to be detected；Otherwise, reset doubtful MWO nuisance counter, Carry out step a)；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold lwr_sum full Foot is pre-conditioned is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) the preset MWO_INT_DET_THRESH of center_sum > amplitude；
Preferably, according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, with Determine that classification and Detection result includes:
A) acquisition has the FFT data of spectrum information；
B) judge the most whether be that FHSS detects pattern；
C) if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value FHSS_DET_THRESH；Otherwise, step a) is carried out；
If d) signal intensity is more than setting threshold value FHSS_DET_THRESH, then judge signal to be detected Whether meet FHSS narrow band spectrum feature, specifically include: find spectrum peak peak_val and peak value position Put peak_bin, define amplitude threshold according to spectrum peak peak_val, in peak peak_bin being The heart, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold upr_sum, middle amplitude threshold downwards Center_sum, lower amplitude threshold lwr_sum, as upper amplitude threshold upr_sum, middle amplitude threshold center_sum When meeting pre-conditioned with lower amplitude threshold lwr_sum, determine that signal to be detected meets FHSS narrow band spectrum special Levy；Otherwise, step a) is carried out；
If e) signal to be detected meets FHSS narrow band spectrum feature, it is determined that currently detected doubtful FHSS Interference signal；Otherwise, step a) is carried out；
F) judge whether to detect that doubtful FHSS disturbs signal first；If it is, initialize doubtful FHSS Nuisance counter, record detects the initial time of doubtful FHSS interference signal simultaneously；Carry out step a)；
If not detecting that doubtful FHSS disturbs signal first, doubtful FHSS nuisance counter is updated；
G) by the time of advent of current doubtful FHSS interference signal with doubtful FHSS interference signal detected Initial time subtracts each other to obtain time difference, it is judged that time difference whether overtime threshold value；
If time difference is more than time threshold, then resets doubtful FHSS nuisance counter, carry out step a)；
If h) time difference is not more than time threshold, then judge that the value of doubtful FHSS nuisance counter is the biggest In number of hops threshold value；If the value of FHSS nuisance counter is more than number of hops threshold value, then confirm to detect FHSS disturbs；Otherwise, reset doubtful FHSS nuisance counter, carry out step a)；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold lwr_sum full Foot is pre-conditioned is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) the preset FHSS_CENTER_THRESH of center_sum > amplitude；
Preferably, according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, with Determine that classification and Detection result includes:
A) acquisition has the FFT data of spectrum information；
B) judge the most whether be that WiFi detects pattern；
C) if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value WIFI_DET_THRESH；Otherwise, step a) is carried out；
If d) signal intensity is more than setting threshold value WIFI_DET_THRESH, then judge that signal to be detected is No meeting WiFi spectrum signature, wherein WiFi spectrum signature exceedes in being broader frequency spectrum, and WiFi frequency spectrum The frequency spectrum numerical value of half is more than 1/4th of peak value, when similar multiple letter being detected in the given time Number protensive features time, determine that signal to be detected meets WiFi spectrum signature；Otherwise, step a) is carried out；
If e) signal to be detected meets WiFi spectrum signature, it is determined that currently detected doubtful WiFi disturbs Signal；Otherwise, step a) is carried out；
F) judge whether to detect that doubtful WiFi disturbs signal first；If it is, initialize doubtful WiFi Nuisance counter, record detects the initial time of doubtful WiFi interference signal otherwise simultaneously, carries out step a)；
If not detecting that doubtful WiFi disturbs signal first, doubtful WiFi nuisance counter is updated,
G) by current doubtful WiFi interference signal the time of advent with detect doubtful WiFi interference signal rise Time beginning subtracts each other to obtain time difference, it is judged that whether time difference is more than time threshold, if time difference is more than Between threshold value, then reset doubtful WiFi nuisance counter, carry out step a)；
If h) time difference is not more than time threshold, then judge that the value of doubtful WiFi nuisance counter is the biggest In counter threshold, if the value of doubtful WiFi nuisance counter is more than counter threshold, then confirm to detect WiFi disturbs；Otherwise, reset doubtful WiFi nuisance counter, carry out step a)；
Preferably, according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, with Determine that classification and Detection result includes:
A) acquisition has the FFT data of spectrum information；
B) judge the most whether be that continuous wave CW detects pattern；
C) if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value CW_DET_THRESH, otherwise, carries out step a)；
If d) signal intensity is more than setting threshold value CW_DET_THRESH, then judge that signal to be detected is No meet CW narrow band spectrum feature, specifically include: find spectrum peak peak_val and peak Peak_bin, defines amplitude threshold according to spectrum peak peak_val, centered by peak peak_bin, Upwards downwards in the middle of respectively take three frequency spectrum points as upper amplitude threshold upr_sum, middle amplitude threshold center_sum, Lower amplitude threshold lwr_sum, when upper amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude When threshold value lwr_sum meets pre-conditioned, determine that signal to be detected meets CW narrow band spectrum feature；Otherwise, Carry out step a)；
If e) signal to be detected meets CW narrow band spectrum feature, it is determined that doubtful CW interference letter detected Number；
F) persistent period of doubtful CW interference signal is accumulated；
G) by the initial time phase of the time of advent of current doubtful CW interference signal with doubtful CW interference signal Subtract to obtain time difference, it is judged that whether time difference is more than time threshold CW_INT_CONFIRM_WIN；If Time difference is more than time threshold CW_INT_CONFIRM_WIN, it is determined that detect that CW disturbs, output CW detects information；Otherwise, step a) is carried out；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold lwr_sum full Foot is pre-conditioned is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > amplitude threshold CW_INT_DET_THRESH.
Described offer interactive interface, thus show that classification and Detection result includes by described interactive interface: from Classification and Detection result obtains the classification of interference source, quantity and temporal information, by described interactive interface to user Show the classification of described interference source, quantity and temporal information.
The present invention has the advantage that compared with prior art
The information collecting device that data acquisition module of the present invention is used is common commercial AP, rather than frequency spectrum divides The dedicated test peripheral hardwares such as analyzer, therefore universality is strong, and beneficially third party AP equipment carries out secondary development.
Existing interference detection technique major part is all based on frequency spectrum, by analyzing various interference source signals Spectrum threshold value, extraction spectrum signature in addition simple classification.These sorting techniques are excessively simple, easily cause Mistake classification to signal source, and native system combines the temporal signatures of interference signal, by building decision tree, Interference source is carried out the most careful classification, thus improves classification accuracy.
Accompanying drawing explanation
By the following detailed description of the preferred illustrative embodiment that reads in conjunction with the accompanying drawings, can be more preferably geographical Solve feature and the advantage of the present invention, wherein:
Fig. 1 is the wireless signal interference check function based on spectrum analysis according to the preferred embodiment for the present invention The structural representation of module；
Fig. 2 is the wireless signal interference detection method based on spectrum analysis according to the preferred embodiment for the present invention Indicative flowchart；
Fig. 3 is the flow chart of the method for detecting microwave oven signal according to the preferred embodiment for the present invention；
Fig. 4 be according to the preferred embodiment for the present invention for detecting FHSS (FHSS, Frequency Hopping Spread Sprectrum) flow chart of method of signal；
Fig. 5 is the flow chart of the method for detecting WiFi signal according to the preferred embodiment for the present invention；
Fig. 6 is the flow chart of the method for detecting continuous wave signal according to the preferred embodiment for the present invention；
Fig. 7 is the wireless signal Interference Detection system based on spectrum analysis according to the preferred embodiment for the present invention Structure chart；And
Fig. 8 is the wireless signal interference detection method based on spectrum analysis according to the preferred embodiment for the present invention Flow chart.
It should be noted that these accompanying drawings are intended to the general characteristic of description method, particular exemplary embodiment party The structure used in formula and/or material, and be intended to description provided below is supplemented.But, these are attached Figure is not drawn to, and is not fine structure or the property accurately reflecting the embodiment arbitrarily provided Can characteristic, and also should not be construed as to be entered by the illustrative embodiments numerical range to being comprised or attribute Row definition or restriction.Use in various figures same or identical reference be intended to instruction exist same or Identical element or feature.
Detailed description of the invention
Although illustrative embodiments can carry out various amendment and use alternative form, but its embodiment Be given in the accompanying drawings as embodiment, and will be described in detail herein.It is to be understood, however, that Illustrative embodiments should be defined to particular forms disclosed, on the contrary, illustrative embodiments is intended to Contain all modifications, equivalent and the substitute fallen in the range of right to be gone.In the description of whole accompanying drawing, Identical reference represents identical element.
It is typically some form of also, it should be noted the software of illustrative embodiments realizes aspect Encode on program recorded medium, or realize on some type of transmission medium.Computer-readable medium Can be magnetic (such as, floppy disk or hard disk drive) or light (such as, compact disc read write, or " CD ROM "), it is possible to it is read-only or random-access.Similarly, transmission medium can be twisted-pair feeder, coaxial Cable, optical fiber or other suitable transmission medium well known in the art.Illustrative embodiments is not limited to appoint What specifies these aspects realized.
The present invention will be further described below in conjunction with the accompanying drawings.
Fig. 1 is the wireless signal interference check function based on spectrum analysis according to the preferred embodiment for the present invention Structural representation.Fig. 1 shows logical structure and the data stream of wireless signal interference check function.
With reference to Fig. 1, the system of the wireless signal Interference Detection based on spectrum analysis of the present invention includes (with function The mode of module illustrates): data acquisition module 10, data preprocessing module 20, characteristic extracting module 30, classification and Detection module 40, result display module 50.
Preferably, data acquisition module 10, for collecting the wireless signal in environment.Preferably, described number Data acquisition submodule (not shown) and FFT sample submodule 101 is farther included according to acquisition module 10. Data acquisition submodule is for collecting the wireless signal in environment, and transmits radio signals to FFT sample Submodule 101.Preferably, FFT sample submodule 101, collected wireless signal is carried out fast Fourier Conversion FFT, to obtain the FFT data with spectrum information.Preferably, there is described in the FFT of spectrum information Data at least include: radio signal strength, radio signal persistent period, the timestamp of radio signal Make an uproar with at the bottom of radio signal.Preferably, FFT sample submodule 101 will have the FFT data of spectrum information It is sent to data preprocessing module 20 with collected wireless signal.
Preferably, data preprocessing module 20: for having the FFT data of spectrum information and collected Wireless signal carries out pretreatment to extract time-domain information and spectrum information, by the data obtained by pretreatment Pass to characteristic extracting module 30.Preferably, data preprocessing module 20 includes: time-domain information extracts submodule Block 201 and spectrum information extract submodule 202.Collected wireless signal is passed by data preprocessing module 20 Give time-domain information and extract submodule 201, and the FFT data with spectrum information is sent to frequency spectrum letter Breath extracts submodule 202.Preferably, time-domain information extracts submodule 201 directly from data acquisition module 10 Data acquisition submodule obtain the wireless signal that gathered.Preferably, spectrum information extracts submodule 202 The FFT data with spectrum information is directly obtained from the FFT sample submodule 101 of data acquisition module 10.
Preferably, time-domain information extracts submodule 201 and extracts time-domain information from collected wireless signal.Time Domain information extracts submodule 201 and is used for recording and extract timestamp information in wireless signal samples point, sends to Characteristic extracting module 30.Preferably, spectrum information extracts submodule 202 from the FFT number with spectrum information According to extracting spectrum information.Spectrum information extracts submodule 202 and is used for recording and extracting in wireless signal samples point Spectrum information, sends characteristic extracting module 30 to preferably, time-domain information extract submodule 201 directly by time Domain information is sent to characteristic extracting module 30, and spectrum information extracts submodule 202 directly by spectrum information It is sent to characteristic extracting module 30.Preferably, time-domain information and spectrum information are sent out by data preprocessing module 20 Give characteristic extracting module 30
Preferably, characteristic extracting module 30 is for extracting submodule to data preprocessing module 20 or time-domain information Block 201 sends spectrum information and carries out feature extraction, determine the parameter in time-domain information, and will be extracted Feature sends classification and Detection module 40 to.Preferably, characteristic extracting module 30 includes dutycycle Duty_Cycle Submodule 301, persistent period submodule 302, received signal strength indicator (RSSI, Received Signal Strength Indication) value submodule 303, mid frequency submodule 304.
Preferably, dutycycle Duty_Cycle submodule 301 is believed according to from data preprocessing module 20 or time domain Breath extracts the time-domain information that submodule 201 receives, and determines that the interference signal in certain interference source presented within the cycle Percentage load, i.e. dutycycle.Preferably, dutycycle Duty_Cycle is used as by classification and Detection module 40 Critical parameter during detection microwave oven interference signal.
Preferably, persistent period submodule 302 extracts son according to from data preprocessing module 20 or time-domain information The time-domain information that module 201 receives, when determining interference lasting within preset time of signal in certain interference source Between.Preferably, the judgement of the interference signal that the persistent period is used as detection interference source by classification and Detection module 40 is joined Number.
Preferably, RSSI value submodule 303 and mid frequency submodule 304 are for from data preprocessing module 20 or frequency domain information extract the frequency domain information that submodule 202 receives and carry out feature extraction, thus obtain when continuing Between, RSSI value and mid frequency.
Preferably, RSSI value submodule 303 extracts submodule according to from data preprocessing module 20 or frequency domain information The frequency domain information that block 202 receives, determines the lowest signal intensity that the interference signal in certain interference source is met, I.e. received signal strength indicator.Preferably, lowest signal intensity is used as detection interference by classification and Detection module 40 The critical parameter of the interference signal in source.Preferably, mid frequency subelement 304 is according to from data prediction mould Block 20 or frequency domain information extract the frequency domain information that submodule 202 receives, and determine that the interference signal of interference source is expired The mid frequency of the specific frequency spectrum of foot.Mid frequency is used as the interference of detection interference source by classification and Detection module 40 The critical parameter of signal.
Preferably, characteristic extracting module 30 by dutycycle Duty_Cycle, the persistent period, RSSI value and in Frequency of heart is sent to sorting device module 40.Preferably, each submodule in characteristic extracting module 30 can be straight Connect and foregoing is sent to sorting device module 40.
Preferably, classification and Detection module 40 for the time-domain information transmitted according to characteristic module (30) and is obtained The spectrum signature taken carries out classification and Detection to signal to be detected, and sends classification and Detection result to result and show Show module 50.Preferably, classification and Detection module 40 includes microwave oven signal disturbing detection sub-module 401, FHSS Signal disturbing detection sub-module 402, WiFi signal Interference Detection submodule 403 and continuous wave signal interference Detection sub-module 404.
Preferably, microwave oven signal disturbing detection sub-module 401, for detecting the microwave in interference signal source Stove signal, and testing result is sent result display module 50 to, to show.Preferably, microwave The microwave oven signal that stove signal disturbing detection sub-module 401 detects in interference signal source includes: a) obtains and has The FFT data of spectrum information；B) mid frequency of the signal to be detected obtained according to mid frequency submodule, Judge whether signal to be detected meets the characteristic condition of microwave oven mid frequency；If c) meeting microwave oven center The characteristic condition of frequency, then judge the most whether be that microwave oven detects pattern.D) if microwave oven detects mould Formula, then judge that whether the signal intensity of signal to be detected is more than setting threshold value MWO_DET_THRESH.Excellent Selection of land, setting threshold value MWO_DET_THRESH can be arbitrarily rational numerical value, such as, 3,4.5, 5 or 6.Preferably, it is unsatisfactory for the characteristic condition of microwave oven mid frequency when signal to be detected, is being currently not Microwave oven detects pattern or when the signal intensity of signal to be detected no more than sets threshold value During MWO_DET_THRESH, microwave oven signal disturbing detection sub-module 401 reacquires has frequency spectrum letter The FFT data of breath, i.e. obtains the new FFT data with spectrum information.
Preferably, the microwave oven signal in microwave oven signal disturbing detection sub-module sensed signal sources also includes: If e) signal intensity is more than setting threshold value MWO_DET_THRESH, then whether judge signal to be detected Meet microwave oven (MWO, MicroWave Oven) narrow band spectrum feature, specifically include: find spectral peak Value peak_val and peak peak_bin, defines amplitude threshold according to spectrum peak peak_val, with Centered by peak peak_bin, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold downwards Upr_sum, middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold When upr_sum, middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meet pre-conditioned, determine Signal to be detected meets MWO narrow band spectrum feature.
Preferably, the microwave oven signal in microwave oven signal disturbing detection sub-module sensed signal sources also includes: If f) signal to be detected meets MWO narrow band spectrum feature, it is determined that currently detected doubtful MWO does Disturb signal；Further, it may be judged whether detect that doubtful MWO disturbs signal first；If it is, just Beginningization doubtful MWO nuisance counter, and record the initial time doubtful MWO interference signal being detected, Then, microwave oven signal disturbing detection sub-module 401 reacquires the FFT data with spectrum information, i.e. Obtain the new FFT data with spectrum information；If not detecting that doubtful MWO disturbs signal first, Then doubtful MWO nuisance counter is updated, such as, make enumerator add 1.Preferably, if letter to be detected Number be unsatisfactory for MWO narrow band spectrum feature, then microwave oven signal disturbing detection sub-module 401 reacquires tool There is the FFT data of spectrum information, i.e. obtain the new FFT data with spectrum information.Preferably, g) By current doubtful MWO interference signal the time of advent with detect doubtful MWO interference signal initial time Between subtract each other to obtain time difference, it is judged that time difference whether overtime threshold value；Preferably, time threshold is for appointing Meaning suitably value, such as, 450ms, 500ms or 600ms.If time difference is more than time threshold, then Resetting doubtful MWO nuisance counter, microwave oven signal disturbing detection sub-module 401 reacquires has frequency The FFT data of spectrum information, i.e. obtains the new FFT data with spectrum information.Preferably, if h) Time difference is not more than time threshold, then obtain multiple MWO by dutycycle duty_cucle module 301 and do Disturb the dutycycle Duty_cycle feature of signal, if dutycycle Duty_cycle feature meets microwave oven signal Feature, then confirm microwave oven interference to be detected；Otherwise, doubtful MWO nuisance counter, microwave oven are reset Signal disturbing detection sub-module 401 reacquires the FFT data with spectrum information, i.e. obtains new having The FFT data of spectrum information.Preferably, the quantity of the plurality of MWO interference signal is any appropriate Value, such as, 5,6,8 or 10.
Preferably, during microwave oven signal disturbing detection sub-module 401 detects, narrow band spectrum feature institute The condition met is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > MWO_INT_DET_THRESH,
Wherein the value of MWO_INT_DET_THRESH is any reasonable value, such as 180,198,200 Or 210 etc..
Preferably, FHSS signal disturbing detection sub-module 402, for detecting the FHSS in interference signal source Signal, and testing result is sent result display module 50 to, to show.Preferably, FHSS The FHSS signal that signal disturbing detection sub-module 402 detects in interference signal source includes: a) obtains and has frequency The FFT data of spectrum information.B) judge the most whether be that FHSS detects pattern.C) if it is, judge Whether the signal intensity of signal to be detected is more than setting threshold value FHSS_DET_THRESH.Preferably, set Threshold value FHSS_DET_THRESH can be the most rational numerical value, such as, 8,9.5,10 or 11 etc.. Preferably, it is being currently not FHSS detection pattern or when the signal intensity of signal to be detected no more than sets threshold During value FHSS_DET_THRESH, FHSS signal disturbing detection sub-module 402 reacquires has frequency spectrum The FFT data of information, i.e. obtains the new FFT data with spectrum information.
Preferably, FHSS signal disturbing detection sub-module 402 detects the FHSS signal in interference signal source also Including: if d) signal intensity is more than setting threshold value FHSS_DET_THRESH, then judge letter to be detected Number whether meet FHSS narrow band spectrum feature, specifically include: find spectrum peak peak_val and peak value Position peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak peak_bin is Center, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold upr_sum, middle amplitude threshold downwards Center_sum, lower amplitude threshold lwr_sum, as upper amplitude threshold upr_sum, middle amplitude threshold center_sum When meeting pre-conditioned with lower amplitude threshold lwr_sum, determine that signal to be detected meets FHSS narrow band spectrum special Levy.
Preferably, FHSS signal disturbing detection sub-module 402 detects the FHSS signal in interference signal source also Including: if e) signal to be detected meets FHSS narrow band spectrum feature, it is determined that currently detected doubtful FHSS Interference signal；Further, it may be judged whether detect that doubtful FHSS disturbs signal first；If it is, just Beginningization doubtful FHSS nuisance counter, record detects the initial time of doubtful FHSS interference signal simultaneously； Then, FHSS signal disturbing detection sub-module 402 reacquires the FFT data with spectrum information, i.e. obtains Take the new FFT data with spectrum information；If not detecting that doubtful FHSS disturbs signal first, Doubtful FHSS nuisance counter is updated, such as, makes enumerator add 1.Preferably, if signal to be detected Be unsatisfactory for FHSS narrow band spectrum feature, then FHSS signal disturbing detection sub-module 402 reacquires and has frequency The FFT data of spectrum information, i.e. obtains the new FFT data with spectrum information.Preferably, f) will be current Doubtful FHSS interference signal the time of advent and detect doubtful FHSS interference signal initial time subtract each other with Obtain time difference, it is judged that time difference whether overtime threshold value；Preferably, time threshold is any appropriate Value, such as,.If time difference is more than time threshold, then reset doubtful FHSS nuisance counter, FHSS Signal disturbing detection sub-module 402 reacquires the FFT data with spectrum information, i.e. obtains new having The FFT data of spectrum information.Preferably, if g) time difference is not more than time threshold, then judge doubtful Whether the value of FHSS nuisance counter is more than number of hops threshold value.Preferably, if FHSS nuisance counter Value more than number of hops threshold value, then confirm to detect that FHSS disturbs；Otherwise, doubtful FHSS interference is reset Enumerator, FHSS signal disturbing detection sub-module 402 reacquires the FFT data with spectrum information, i.e. Obtain the new FFT data with spectrum information.Preferably, number of hops threshold value can be any reasonably Numerical value, such as, 2,3,4 or 5.
Preferably, detect process in FHSS signal disturbing detection sub-module 402 and collect, narrow band spectrum feature institute The condition met is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > FHSS_CENTER_THRESH,
Wherein the value of FHSS_CENTER_THRESH can be any reasonable value, such as, 80,95, 100 or 110 etc..
Preferably, WiFi signal Interference Detection submodule 403, for detecting the WiFi letter in interference signal source Number, and testing result is sent result display module 50 to, to show.Preferably, WiFi signal The WiFi signal that Interference Detection submodule 403 detects in interference signal source includes: a) obtains and has frequency spectrum letter The FFT data of breath.B) judge the most whether be that WiFi detects pattern.C) if it is, judge to be detected Whether the signal intensity of signal is more than setting threshold value WIFI_DET_THRESH.Preferably, threshold value is set WIFI_DET_THRESH can be the most rational numerical value, such as, 6,7.5,8 or 9 etc..Preferably, It is being currently not WiFi detection pattern or when the signal intensity of signal to be detected no more than sets threshold value During WIFI_DET_THRESH, WiFi signal Interference Detection submodule 403 reacquires has spectrum information FFT data, i.e. obtain the new FFT data with spectrum information.
Preferably, the WiFi signal that WiFi signal Interference Detection submodule 403 detects in interference signal source is also wrapped Include: if d) signal intensity is more than setting threshold value WIFI_DET_THRESH, then judge that signal to be detected is No meet WiFi spectrum signature.Preferably, WiFi spectrum signature is in broader frequency spectrum, and WiFi frequency spectrum Exceed the frequency spectrum numerical value of half more than 1/4th of peak value.Preferably, many when detecting in the given time During the protensive features of individual continuous similar signal, determine that signal to be detected meets WiFi spectrum signature.Preferably, The scheduled time can be any reasonable value, such as, 300ms, 450ms, 500ms or 600ms.Preferably Ground, multiple continuous similar signal may be greater than any number of continuous similar signal equal to 2, such as, 3, 5,7,10 etc..
Preferably, the WiFi signal in WiFi signal Interference Detection submodule 403 sensed signal sources also includes: If e) signal to be detected meets WiFi spectrum signature, it is determined that currently detected doubtful WiFi disturbs signal； Further, it may be judged whether detect that doubtful WiFi disturbs signal first；If it is, initialize doubtful WiFi nuisance counter, record detects the initial time of doubtful WiFi interference signal simultaneously；Then, WiFi Signal disturbing detection sub-module 403 reacquires the FFT data with spectrum information, i.e. obtains new having The FFT data of spectrum information.If not detecting that doubtful WiFi disturbs signal, to doubtful WiFi first Nuisance counter updates, and such as, makes enumerator add 1.Preferably, if signal to be detected is unsatisfactory for WiFi Spectrum signature, then WiFi signal Interference Detection submodule 403 reacquires the FFT data with spectrum information, I.e. obtain the new FFT data with spectrum information.Preferably, arriving current doubtful WiFi interference signal The initial time reaching the time and doubtful WiFi interference signal detected subtracts each other to obtain time difference, it is judged that time difference Whether overtime threshold value.Preferably, time threshold is the value of any appropriate, such as, 300ms, 450ms, 500ms or 600ms.If time difference is more than time threshold, then reset doubtful WiFi nuisance counter, WiFi signal Interference Detection submodule 403 reacquires the FFT data with spectrum information, i.e. obtains new There is the FFT data of spectrum information.Preferably, if g) time difference is not more than time threshold, then judge to doubt Like the value of WiFi nuisance counter whether more than counter threshold.Preferably, if doubtful WiFi interference counts The value of device is more than counter threshold, then confirm to detect that WiFi disturbs；Otherwise, doubtful WiFi interference is reset Enumerator, WiFi signal Interference Detection submodule 402 reacquires the FFT data with spectrum information, i.e. Obtain the new FFT data with spectrum information.Preferably, counter threshold can be any rational number Value, such as, 3,4,5 or 6.
Preferably, continuous wave signal Interference Detection submodule 404, the continuous wave signal in sensed signal sources, And testing result is sent result display module 50 to, to show.Preferably, continuous wave signal is done Disturb the continuous wave signal that detection sub-module 404 detects in interference signal source to include: a) obtain and there is spectrum information FFT data.B) judge the most whether be that continuous wave (CW, Continuous Wave) detects pattern. C) if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value CW_DET_THRESH. Preferably, setting threshold value CW_DET_THRESH can be arbitrarily rational numerical value, such as, 8,9.5, 10 or 11 etc..Preferably, it is being currently not CW detection pattern or is working as the signal intensity of signal to be detected not More than when setting threshold value CW_DET_THRESH, CW signal disturbing detection sub-module 404 reacquires tool There is the FFT data of spectrum information, i.e. obtain the new FFT data with spectrum information.
Preferably, continuous wave CW signal disturbing detection sub-module 404 detects the continuous wave in interference signal source Signal also includes: if d) signal intensity is more than setting threshold value CW_DET_THRESH, then judge to be checked Survey whether signal meets CW narrow band spectrum feature, specifically include: find spectrum peak peak_val and peak Value position peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak peak_bin Centered by, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold upr_sum, middle amplitude threshold downwards Center_sum, lower amplitude threshold lwr_sum, as upper amplitude threshold upr_sum, middle amplitude threshold center_sum When meeting pre-conditioned with lower amplitude threshold lwr_sum, determine that signal to be detected meets CW narrow band spectrum special Levy.
Preferably, during continuous wave CW signal disturbing detection sub-module 404 detects, arrowband frequency The condition that spectrum signature is met is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > CW_INT_DET_THRESH,
Wherein the value of CW_INT_DET_THRESH can be the most extremely, such as 80,95,100 Or 110.
Preferably, continuous wave signal Interference Detection submodule 404 detects the continuous wave signal in interference signal source Also include: if e) signal to be detected meets CW narrow band spectrum feature, it is determined that detect that doubtful CW does Disturb signal.Preferably, the persistent period of doubtful CW interference signal is accumulated.Preferably, f) will be the most doubtful The time of advent of CW interference signal, the initial time with doubtful CW interference signal subtracted each other to obtain time difference, Judge that whether time difference is more than time threshold CW_INT_CONFIRM_WIN.Preferably, time threshold is The value of any appropriate, such as 1200ms, 1300ms, 1400ms or 1500ms.If time difference is more than the time Threshold value CW_INT_CONFIRM_WIN, it is determined that detect that CW disturbs, output CW detects information. Otherwise, CW signal disturbing detection sub-module 404 reacquires the FFT data with spectrum information, i.e. obtains Take the new FFT data with spectrum information.
Preferably, above-mentioned microwave oven signal disturbing detection sub-module 401, FHSS signal disturbing detection sub-module 402, WiFi signal Interference Detection submodule 403 and continuous wave signal Interference Detection submodule 404 can be also Send out ground to perform, be sequentially performed or perform by random time order.
Preferably, result display module 50 is used for providing interactive interface, shows final classification and Detection result.Knot Really display module 50 includes class indication submodule 501 and result display word modules 502.Preferably, classification Labeling submodule 501 is for obtaining the classification of interference source, quantity and temporal information from classification and Detection result.Excellent Selection of land, result display sub-module 502 is used for the classification of interference source, the quantity that the system that displays to the user that detects And temporal information.
Fig. 2 is the wireless signal interference detection method based on spectrum analysis according to the preferred embodiment for the present invention Indicative flowchart.With reference to Fig. 2, the wireless signal interference detection method based on spectrum analysis of the present invention is total Comprise the steps: on body
Method is from the beginning of at step S201；
Step S202, obtains the FFT data with spectrum information.The wireless signal Interference Detection side of the present invention Method is to process the access point AP data got, and AP mainly collects the interference signal number of surrounding According to, the data collected are carried out FFT, sends algorithm to.Wherein FFT data comprises and is currently needed for All kinds of parameters of detection signal, make an uproar including at the bottom of the intensity of current demand signal, at that time data time stamp, current demand signal Etc. all kinds of parameters.Current FFT data contains the attribute about signal likely used.
Step S203, whether detection current time information meets threshold value.Signal time threshold value is as a signal Basic feature, different signals has different accumulated time effects, it is therefore desirable to during to signal lasting Between carry out record, the most different signals is within the respective cycle, it may have the different persistent period, different Signal should meet its basic signal duration.
If meeting current demand signal also within the time of record, next step operation can be entered, enter step step S204；If it is the most recorded beyond corresponding time threshold to be unsatisfactory for i.e. current demand signal, therefore can sentence Disconnected, if to meet corresponding interference source feature, i.e. enter step S210.
Step S204, detects whether current signal intensity meets threshold value.Signal strength threshold is as a letter Number basic feature, its effect is mainly used to distinguish the data the letter whether signal of current acquisition includes Breath, is used for distinguishing useful signal and noise signal.Different interference source signals has different signal threshold values. Different signals is set different threshold values by algorithm, and then as distinguishing the key step of signal.
If meeting i.e. current demand signal is a useful data signal, the signal received the most at present is probably One tone signal, needs to give up.Dividing of next step can be carried out when signal intensity meets given threshold value Analysis, i.e. enters step S205.When signal intensity is unsatisfactory for given threshold value, enter step S210.
Step S205, it is judged that spectrum signature, classification arrowband and broader frequency spectrum.Different signal source signals has Certain regularity, some signals have the strongest autgmentability on frequency spectrum, all can produce in the widest bandwidth Raw interference, and some interference source embodies the narrow wave characteristic of a kind of impact on frequency spectrum.Spectrum waveform is as letter Number key character distinguished, can be directly narrow ripple and wide ripple signal by signal distinguishing.
If broadband, i.e. current demand signal detect as broadband signal, need to carry out wide band detection, i.e. enter step Rapid S210, and then carry out step S211, method terminates.If arrowband, i.e. current demand signal detect into Narrow band signal, needs to carry out narrow band detection, i.e. enters step S206.
Step S210, it is judged that whether be currently first record.Because the detection of signal is to enter within a period of time Row, it is therefore necessary to make a distinction time started and the end time of certain signal, wherein detect it is first Detection then should carry out the initialization of all kinds of enumerator, for special signal detection, if detecting dry first Disturbing signal and then initialize various enumerator, the initial time of record interference simultaneously, otherwise to necessary particular count Device is updated adding 1.
If primary detection needs to carry out time initialization, and then characterizes the initial time detected, i.e. enter step Rapid S207；If not being primary detection, i.e. should by above current record information accumulation to corresponding enumerator, Necessary enumerator is updated, i.e. enters step S209.
Step S207, initializes corresponding enumerator, and record currently disturbs initial time.Current interference Initial time is mainly used to characterize the initial interference time of current demand signal.
Step S209, calculates current spectral bandwidth and end time.Spectral bandwidth is as another of signal spectrum Key character, different signals can occupy the frequency spectrum of different in width, such as microwave oven can occupy 2.4G frequency spectrum High-frequency part, and bluetooth can at frequency modulation on different channels.Therefore on corresponding channel, accumulation Persistent period is to judge one important parameter of signal.
Step S208, updates corresponding enumerator, simultaneously record current spectral RSSI, mid frequency and time Stamp.Differentiation detection for signal mainly makes these parameters differentiate, it is therefore desirable to carry out these data Real-time change, to ensure the correct detection of current demand signal.
Fig. 3 is the flow chart of the method for detecting microwave oven signal according to the preferred embodiment for the present invention. Preferably, utilize microwave oven signal disturbing detection sub-unit 401 to the microwave oven letter detecting in interference signal source Number, and testing result is sent result display unit 750 to, to show.Detection interference signal source In microwave oven signal from the beginning of at step S301.
Step S302, a) acquisition has the FFT data of spectrum information.
Step S303, according to the mid frequency of the signal to be detected that mid frequency subelement obtains, it is judged that to be checked Survey whether signal meets the characteristic condition of microwave oven mid frequency.
Step S304, if meeting the characteristic condition of microwave oven mid frequency, then judges whether be currently microwave Stove detection pattern.
Step S305, if microwave oven detection pattern, then judges that the signal intensity of signal to be detected is the biggest In setting threshold value MWO_DET_THRESH.Preferably, setting threshold value MWO_DET_THRESH can Think the most reasonably numerical value, such as, 3,4.5,5 or 6.Preferably, it is unsatisfactory for micro-when signal to be detected The characteristic condition of ripple stove mid frequency, it is being currently not microwave oven detection pattern or when the letter of signal to be detected Number intensity is not more than when setting threshold value MWO_DET_THRESH, and method returns step S302.
Step S306, if signal intensity is more than setting threshold value MWO_DET_THRESH, then judges to treat Whether detection signal meets microwave oven (MWO, MicroWave Oven) narrow band spectrum feature, specifically includes: Find spectrum peak peak_val and peak peak_bin, define width according to spectrum peak peak_val Degree threshold value, centered by peak peak_bin, upwards centre respectively takes three frequency spectrum points as upper width downwards Degree threshold value upr_sum, middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold When upr_sum, middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meet pre-conditioned, determine Signal to be detected meets MWO narrow band spectrum feature.
Step S307, if signal to be detected meets MWO narrow band spectrum feature, it is determined that currently detected Doubtful MWO disturbs signal.Further, it may be judged whether detect that doubtful MWO disturbs signal first.
Step S308, if it is, initialize doubtful MWO nuisance counter, and record detects doubtful Like the initial time of MWO interference signal, then, method returns step S302.
Step S309, if not detecting that doubtful MWO disturbs signal first, then does doubtful MWO Disturb enumerator to update, such as, make enumerator add 1.Preferably, if to be unsatisfactory for MWO narrow for signal to be detected Band spectrum signature, then method returns step S302.
Step S310, by current doubtful MWO interference signal the time of advent with detect that doubtful MWO does The initial time disturbing signal subtracts each other to obtain time difference, it is judged that time difference whether overtime threshold value.Preferably, Time threshold is the value of any appropriate, such as, 300ms, 450ms, 500ms or 600ms.
Step S311, if time difference is more than time threshold, then resets doubtful MWO nuisance counter, side Method returns step S302.
Step S312, if time difference is not more than time threshold, then by dutycycle duty_cucle unit 301 Obtain the dutycycle Duty_cycle feature of multiple MWO interference signal.
Step S313, it is judged that whether dutycycle Duty_cycle feature meets microwave oven signal characteristic.
Step S314, if dutycycle Duty_cycle feature meets microwave oven signal characteristic, then confirms detection To microwave oven interference, method terminates at step S315；Otherwise, reset doubtful MWO nuisance counter, Method returns step S302.Preferably, the quantity of the plurality of MWO interference signal is the value of any appropriate, Such as, 5,6,8 or 10.
Preferably, during microwave oven signal disturbing detection sub-unit 401 detects, narrow band spectrum feature institute The condition met is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > MWO_INT_DET_THRESH,
Wherein the value of MWO_INT_DET_THRESH is any reasonable value, such as 180,198,200 Or 210 etc..
Fig. 4 be according to the preferred embodiment for the present invention for detecting FHSS (FHSS, Frequency Hopping Spread Sprectrum) flow chart of method of signal.Preferably, the present invention utilizes FHSS Signal disturbing detection sub-unit 402 detects the FHSS signal in interference signal source, and by testing result transmission To result display unit 750, to show.Preferably, FHSS signal disturbing detection sub-unit 402 is examined Survey the FHSS signal in interference signal source from the beginning of at step S401.
Step S402, obtains the FFT data with spectrum information.
Step S403, it is judged that the most whether be that FHSS detects pattern.
Step S404, if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value FHSS_DET_THRESH.Preferably, setting threshold value FHSS_DET_THRESH can be arbitrarily to close The numerical value of reason, such as, 8,9.5,10 or 11 etc..Preferably, be currently not FHSS detection pattern or Person is when the signal intensity of signal to be detected is not more than and sets threshold value FHSS_DET_THRESH, and method returns Step S402.
Step S405, if signal intensity is more than setting threshold value FHSS_DET_THRESH, then judges to be checked Survey signal whether meet FHSS narrow band spectrum feature, specifically include: find spectrum peak peak_val and Peak peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak peak_bin Centered by, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold upr_sum, middle amplitude threshold downwards Center_sum, lower amplitude threshold lwr_sum, as upper amplitude threshold upr_sum, middle amplitude threshold center_sum When meeting pre-conditioned with lower amplitude threshold lwr_sum, determine that signal to be detected meets FHSS narrow band spectrum special Levy.
Step S406, if signal to be detected meets FHSS narrow band spectrum feature, it is determined that currently detected Doubtful FHSS disturbs signal；Further, it may be judged whether detect that doubtful FHSS disturbs signal first.
Step S407, if it is, initialize doubtful FHSS nuisance counter, record detects doubtful simultaneously Initial time like FHSS interference signal；Then, method returns step S402.
Step S408, if not detecting that doubtful FHSS disturbs signal first, disturbs doubtful FHSS Enumerator updates, and such as, makes enumerator add 1.Preferably, if signal to be detected is unsatisfactory for FHSS arrowband Spectrum signature, then method returns step S402.
Step S409, by current doubtful FHSS interference signal the time of advent with detect that doubtful FHSS does The initial time disturbing signal subtracts each other to obtain time difference, it is judged that time difference whether overtime threshold value；Preferably, Time threshold is the value of any appropriate, such as, 300ms, 450ms, 500ms or 600ms.If the time Difference more than time threshold, then resets doubtful FHSS nuisance counter, and method returns step S402.
Step S410, if time difference is not more than time threshold, then judges doubtful FHSS nuisance counter Whether value is more than number of hops threshold value.
Step S411, if the value of FHSS nuisance counter is more than number of hops threshold value, then confirms to detect FHSS disturbs, and method terminates at step S412.
Otherwise, resetting doubtful FHSS nuisance counter, method returns step S402.Preferably, frequency hopping time Number threshold value can be any rational numerical value, such as, 6,7,8 or 9.
Preferably, detect process in FHSS signal disturbing detection sub-unit 402 and collect, narrow band spectrum feature institute The condition met is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > FHSS_CENTER_THRESH,
Wherein the value of FHSS_CENTER_THRESH can be any reasonable value, such as, 80,95, 100 or 110 etc..
Fig. 5 is the flow chart of the method for detecting WiFi signal according to the preferred embodiment for the present invention. Preferably, the present invention utilizes the WiFi that WiFi signal Interference Detection subelement 403 detects in interference signal source Signal, and testing result is sent result display unit 750 to, to show.Preferably, WiFi Signal disturbing detection sub-unit 403 detects the WiFi signal in interference signal source from the beginning of step 501 place.
Step 502, obtains the FFT data with spectrum information.
Step 503, it is judged that the most whether be that WiFi detects pattern.
Step 504, if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value WIFI_DET_THRESH.Preferably, setting threshold value WIFI_DET_THRESH can be the most rationally Numerical value, such as, 6,7.5,8 or 9 etc..Preferably, it is being currently not WiFi detection pattern or is working as When the signal intensity of signal to be detected is not more than setting threshold value WIFI_DET_THRESH, return step S502。
Step S505, if signal intensity is more than setting threshold value WIFI_DET_THRESH, then judges to be checked Survey whether signal meets WiFi spectrum signature.Preferably, WiFi spectrum signature is broader frequency spectrum, and WiFi Frequency spectrum exceedes the frequency spectrum numerical value of half more than 1/4th of peak value.Preferably, when examining in the given time When measuring the protensive features of multiple continuous similar signal, determine that signal to be detected meets WiFi spectrum signature.Excellent Selection of land, the scheduled time can be any reasonable value, such as, 300ms, 450ms, 500ms or 600ms. Preferably, multiple continuous similar signal may be greater than any number of continuous similar signal equal to 2, example As, 3,5,7,10 etc..
Step S506, if signal to be detected meets WiFi spectrum signature, it is determined that currently detected doubtful WiFi disturbs signal.Further, it may be judged whether detect that doubtful WiFi disturbs signal first.
Step S507 is if it is, initialize doubtful WiFi nuisance counter, and record detects doubtful simultaneously The initial time of WiFi interference signal；Then, step S502 is returned.
Step S508, if not detecting that doubtful WiFi disturbs signal, to doubtful WiFi interferometer first Number device updates, and such as, makes enumerator add 1.Preferably, if signal to be detected is unsatisfactory for WiFi frequency spectrum spy Levy, then return step S502.
Step 509, it is preferable that by current doubtful WiFi interference signal the time of advent with detect doubtful The initial time of WiFi interference signal subtracts each other to obtain time difference, it is judged that time difference whether overtime threshold value. Preferably, time threshold is the value of any appropriate, such as, 300ms, 450ms, 500ms or 600ms. If time difference is more than time threshold, then reset doubtful WiFi nuisance counter, return step 502.
Step S510, if time difference is not more than time threshold, then judges the value of doubtful WiFi nuisance counter Whether more than counter threshold.Step S511, if the value of doubtful WiFi nuisance counter is more than counter threshold, Then confirming to detect that WiFi disturbs, method terminates at step S512；Otherwise, doubtful WiFi interference is reset Enumerator, returns step S502.Preferably, counter threshold can be any rational numerical value, such as, 3, 4,5 or 6.
Fig. 6 is the flow chart of the method for detecting continuous wave signal according to the preferred embodiment for the present invention. Preferably, the continuous wave letter during the present invention utilizes continuous wave signal Interference Detection subelement 404 sensed signal sources Number, and testing result is sent result display unit 750 to, to show.Preferably, continuous wave letter Number Interference Detection subelement 404 detects the continuous wave signal in interference signal source from the beginning of step 601 place.
Step S602, obtains the FFT data with spectrum information.
Step S603, it is judged that the most whether be that continuous wave (CW, Continuous Wave) detects pattern.
Step S604, if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value CW_DET_THRESH.Preferably, setting threshold value CW_DET_THRESH can be the most reasonably Numerical value, such as, 8,9.5,10 or 11 etc..Preferably, it is being currently not CW detection pattern or when treating When the signal intensity of detection signal is not more than setting threshold value CW_DET_THRESH, return step S602.
Step S605, if signal intensity is more than setting threshold value CW_DET_THRESH, then judges to be checked Survey whether signal meets CW narrow band spectrum feature, specifically include: find spectrum peak peak_val and peak Value position peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak peak_bin Centered by, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold upr_sum, middle amplitude threshold downwards Center_sum, lower amplitude threshold lwr_sum, as upper amplitude threshold upr_sum, middle amplitude threshold center_sum When meeting pre-conditioned with lower amplitude threshold lwr_sum, determine that signal to be detected meets CW narrow band spectrum special Levy.
Preferably, during continuous wave CW signal disturbing detection sub-unit 404 detects, arrowband frequency The condition that spectrum signature is met is:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > CW_INT_DET_THRESH,
Wherein the value of CW_INT_DET_THRESH can be the most extremely, such as 80,95,100 Or 110.
Step S606, if signal to be detected meets CW narrow band spectrum feature, it is determined that doubtful CW detected Interference signal.Preferably, the persistent period of doubtful CW interference signal is accumulated.
Step S607, by the time of advent of current doubtful CW interference signal and rising of doubtful CW interference signal Time beginning subtracts each other to obtain time difference, it is judged that whether time difference is more than time threshold CW_INT_CONFIRM_WIN.Preferably, time threshold is the value of any appropriate, such as, 300ms, 450ms, 500ms or 600ms.
Step S608, if time difference is more than time threshold CW_INT_CONFIRM_WIN, it is determined that detection Disturbing to CW, output CW detects information, and method terminates in step 609 place.Otherwise, step S602 is returned.
Fig. 7 is the wireless signal Interference Detection system based on spectrum analysis according to the preferred embodiment for the present invention Structure chart.With reference to Fig. 7, the system of the wireless signal Interference Detection based on spectrum analysis of the present invention includes (illustrating with hardware implementation mode): data acquisition unit 710, data pre-processing unit 720, feature Extraction unit 730, classification and Detection unit 740, result display unit 750.
Preferably, data acquisition unit 710, for collecting the wireless signal in environment.Preferably, described number Data acquisition subelement (not shown) and FFT sample subelement 711 is farther included according to collecting unit 710. Data acquisition subelement is for collecting the wireless signal in environment, and transmits radio signals to FFT sample Subelement 711.Preferably, FFT sample subelement 712, collected wireless signal is carried out fast Fourier Conversion FFT, to obtain the FFT data with spectrum information.Preferably, there is described in the FFT of spectrum information Data at least include: radio signal strength, radio signal persistent period, the timestamp of radio signal Make an uproar with at the bottom of radio signal.Preferably, FFT sample subelement 712 will have the FFT data of spectrum information It is sent to data pre-processing unit 720 with collected wireless signal.
Preferably, data pre-processing unit 720: for having the FFT data of spectrum information and collected Wireless signal carry out pretreatment to extract time-domain information and spectrum information, by the number obtained by pretreatment According to passing to feature extraction unit 730.Preferably, data pre-processing unit 720 includes: time-domain information extracts Subelement 721 and spectrum information extract subelement 722.Data pre-processing unit 720 is by collected wireless communication Number send time-domain information to and extract subelement 721, and the FFT data with spectrum information is sent to frequency Spectrum information extracts subelement 722.Preferably, time-domain information extracts subelement 721 directly from data acquisition unit The data acquisition subelement of 710 obtains the wireless signal gathered.Preferably, spectrum information extracts subelement 722 directly obtain the FFT with spectrum information from the FFT sample subelement 711 of data acquisition unit 710 Data.
Preferably, time-domain information extracts subelement 721 and extracts time-domain information from collected wireless signal.Time Domain information extracts subelement 721 and is used for recording and extract timestamp information in wireless signal samples point, sends to Feature extraction unit 730.Preferably, spectrum information extracts subelement 722 from the FFT with spectrum information Data extract spectrum information.Spectrum information extracts subelement 722 and is used for recording and extract wireless signal samples point Intermediate frequency spectrum information, sends feature extraction unit 730 to preferably, and it is direct that time-domain information extracts subelement 721 Time-domain information is sent to feature extraction unit 730, and spectrum information extracts subelement 722 directly by frequency spectrum Information is sent to feature extraction unit 730.Preferably, data pre-processing unit 720 is by time-domain information and frequency spectrum Information is sent to feature extraction unit 730
Preferably, feature extraction unit 730 is for extracting son to data pre-processing unit 720 or time-domain information Unit 721 sends spectrum information and carries out feature extraction, determines the parameter in time-domain information, and will be extracted Feature send classification and Detection unit 740 to.Preferably, feature extraction unit 730 includes dutycycle Duty_Cycle subelement 731, persistent period subelement 732, received signal strength indicator (RSSI, Received Signal Strength Indication) value subelement 733, mid frequency subelement 734.
Preferably, dutycycle Duty_Cycle subelement 731 is according to from data pre-processing unit 720 or time domain The time-domain information that information retrieval subelement 721 receives, determine the interference signal in certain interference source within the cycle in Existing percentage load, i.e. dutycycle.Preferably, classification and Detection unit 740 is by dutycycle Duty_Cycle It is used as critical parameter during detection microwave oven interference signal.
Preferably, persistent period subelement 732 extracts according to from data pre-processing unit 720 or time-domain information The time-domain information that subelement 721 receives, determines interference signal the continuing within preset time in certain interference source Time.Preferably, the persistent period is used as interference the sentencing of signal of detection interference source by classification and Detection unit 740 Determine parameter.
Preferably, RSSI value subelement 733 and mid frequency subelement 734 are for from data pre-processing unit 720 or frequency domain information extract the frequency domain information that subelement 722 receives and carry out feature extraction, thus obtain when continuing Between, RSSI value and mid frequency.
Preferably, RSSI value subelement 733 extracts son according to from data pre-processing unit 720 or frequency domain information The frequency domain information that unit 722 receives, determines that the lowest signal that the interference signal in certain interference source is met is strong Degree, i.e. received signal strength indicator.Preferably, lowest signal intensity is used as inspection by classification and Detection unit 740 Survey the critical parameter of the interference signal of interference source.Preferably, mid frequency subelement 734 is according to pre-from data Processing unit 720 or frequency domain information extract the frequency domain information that subelement 722 receives, and determine the interference of interference source The mid frequency of the specific frequency spectrum that signal is met.It is dry that mid frequency is used as detection by classification and Detection unit 740 Disturb the critical parameter of the interference signal in source.
Preferably, feature extraction unit 730 by dutycycle Duty_Cycle, the persistent period, RSSI value and in Frequency of heart is sent to sorting device unit 740.Preferably, each subelement in feature extraction unit 730 can Directly foregoing will be sent to sorting device unit 740 respectively.
Preferably, classification and Detection unit 740 for the time-domain information transmitted according to feature unit 730 and is obtained The spectrum signature taken carries out classification and Detection to signal to be detected, and sends classification and Detection result to result and show Show unit 750.Preferably, classification and Detection unit 740 include microwave oven signal disturbing detection sub-unit 741, FHSS signal disturbing detection sub-unit 742, WiFi signal Interference Detection subelement 743 and continuous wave signal Interference Detection subelement 744.
Preferably, microwave oven signal disturbing detection sub-unit 741, for detecting the microwave in interference signal source Stove signal, and testing result is sent result display unit 750 to, to show.Preferably, FHSS signal disturbing detection sub-unit 742, for detecting the FHSS signal in interference signal source, and will Testing result sends result display unit 750 to, to show.Preferably, WiFi signal Interference Detection Subelement 743, for detecting the WiFi signal in interference signal source, and sends testing result to result Display unit 750, to show.Preferably, continuous wave signal Interference Detection subelement 744, it is used for examining Survey the continuous wave signal in signal source, and testing result is sent result display unit 750 to, to carry out Display.
Fig. 8 is the wireless signal interference detection method based on spectrum analysis according to the preferred embodiment for the present invention Flow chart.
Step 801, collects the wireless signal in environment, collected wireless signal is carried out fast Fourier transform FFT, to obtain the FFT data with spectrum information, wherein said have the FFT data of spectrum information extremely Include less: at the bottom of wireless signal strength, wireless signal persistent period, the timestamp of wireless signal and wireless signal Make an uproar；
Step 802, obtains time-domain information and from the FFT with spectrum information from collected wireless signal Data acquisition spectrum information；
Step 803, extracts temporal signatures from acquired time-domain information, and carries from acquired spectrum information Take spectrum signature；
Step 804, carries out classification and Detection according to temporal signatures and spectrum signature to wireless signal to be detected, with Determine classification and Detection result；And
Step 805, it is provided that interactive interface, thus show classification and Detection result by described interactive interface.

Claims (10)

1. a wireless signal Interference Detection system based on spectrum analysis, it is characterised in that described system System includes:
Data acquisition unit (710): for collecting the wireless signal in environment, to collected wireless communication Number carry out fast Fourier transform FFT, to obtain the FFT data with spectrum information, wherein said tool The FFT data having spectrum information at least includes: wireless signal strength, wireless signal persistent period, nothing Make an uproar at the bottom of the timestamp of line signal and wireless signal, and collected wireless signal is believed with having frequency spectrum The FFT data of breath sends data pre-processing unit (720) to；
Data pre-processing unit (720): for from collected wireless signal obtain time-domain information and from The FFT data with spectrum information obtains spectrum information, and described time-domain information and spectrum information is passed Give feature extraction unit (730)；
Feature extraction unit (730): be used for from acquired time-domain information extraction temporal signatures, and from Acquired spectrum information extracts spectrum signature, and temporal signatures and spectrum signature send to classification inspection Survey unit (740)；
Classification and Detection unit (740): for the temporal signatures transmitted according to feature extraction unit (730) and frequency Spectrum signature carries out classification and Detection to wireless signal to be detected, and sends to aobvious by classification and Detection result Show unit (750)；
Display unit (750): be used for providing interactive interface, thus show classification and Detection result.
System the most according to claim 1, it is characterised in that
Described data acquisition unit (710) including:
Data acquisition subelement (711), for collecting the wireless signal in environment, and by wireless signal It is sent to FFT sample subelement (712)；
FFT sample subelement (712), carries out fast Fourier transform FFT to collected wireless signal, To obtain the FFT data with spectrum information, and will have the FFT data transmission of spectrum information To data pre-processing unit (720)；
Described data pre-processing unit (720) including:
Time-domain information extracts subelement (721): for extracting time-domain information from collected wireless signal, And described time-domain information is sent to feature extraction unit (730)；
Spectrum information extracts subelement (722): for extracting frequency spectrum from the FFT data with spectrum information Information, and described spectrum information is sent to feature extraction unit (730)；
Described display unit (750) including:
Class indication subelement (751): for obtaining the classification of interference source, quantity from classification and Detection result And temporal information；And
Result display subelement (752) is used for the classification of interference source, the number that the system that displays to the user that detects Amount and temporal information.
System the most according to claim 1, described feature extraction unit (730) including:
Dutycycle Duty_Cycle subelement (731), according to receive from data pre-processing unit (720) Time-domain information, determines the percentage load that the interference signal in certain interference source presented within the cycle, When wherein dutycycle Duty_Cycle is used as detection microwave oven interference signal by classification and Detection unit (740) Critical parameter；
Persistent period subelement (732): according to the time-domain information received from data pre-processing unit (720), Determine the interference signal persistent period within preset time in certain interference source, wherein classification and Detection unit (740) persistent period is used as the critical parameter of the interference signal of detection interference source；
RSSI value subelement (733): according to the spectrum information received from data pre-processing unit (720), Determine the received signal strength indicator RSSI value that the interference signal in certain interference source is met, Qi Zhongfen RSSI value is used as the critical parameter of the interference signal of detection interference source by class detector unit (740)；And
Mid frequency subelement (734): according to the spectrum information received from data pre-processing unit (720), Determine the mid frequency of the specific frequency spectrum disturbing signal to be met in certain interference source, wherein classification and Detection Mid frequency is used as the critical parameter of the interference signal of detection interference source by unit (740).
System the most according to claim 1, classification and Detection unit (740) including:
Microwave oven signal disturbing identification subelement (741), for detecting the microwave oven letter in interference signal source Number, and detection is sent to display unit (750)；
Wherein the microwave oven signal in detection interference signal source includes:
Obtain the FFT data with spectrum information；
Mid frequency according to the signal to be detected that mid frequency subelement obtains, it is judged that signal to be detected Whether meet the characteristic condition of microwave oven mid frequency；
If meeting the characteristic condition of microwave oven mid frequency, then judge the most whether be microwave oven detection Pattern；
If microwave oven detection pattern, then judge that whether the signal intensity of signal to be detected is more than setting Threshold value MWO_DET_THRESH；
If signal intensity is more than setting threshold value MWO_DET_THRESH, then judge letter to be detected Number whether meet microwave oven MWO narrow band spectrum feature, specifically include: find spectrum peak peak_val And peak peak_bin, define amplitude threshold according to spectrum peak peak_val, with peak value position Centered by putting peak_bin, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold downwards Upr_sum, middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold When upr_sum, middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meet pre-conditioned, Determine that signal to be detected meets MWO narrow band spectrum feature；
If signal to be detected meets MWO narrow band spectrum feature, it is determined that currently detected doubtful MWO disturbs signal；
Judge whether to detect that doubtful MWO disturbs signal first；If it is, initialize doubtful MWO nuisance counter, and record the initial time doubtful MWO interference signal being detected；As Fruit is not to detect that doubtful MWO disturbs signal first, then update doubtful MWO nuisance counter；
By current doubtful MWO interference signal the time of advent with detect doubtful MWO disturb signal Initial time subtract each other to obtain time difference, it is judged that time difference whether overtime threshold value；If the time Difference more than time threshold, then resets doubtful MWO nuisance counter；
If time difference is not more than time threshold, then obtain multiple by dutycycle duty_cucle unit The dutycycle Duty_cycle feature of MWO interference signal, if dutycycle Duty_cycle character symbol Close microwave oven signal characteristic, then confirm microwave oven interference to be detected；Otherwise, reset doubtful MWO to do Disturb enumerator；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold Lwr_sum meets:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) the preset MWO_INT_DET_THRESH of center_sum > amplitude.
System the most according to claim 1, classification and Detection unit (740) including:
FHSS signal disturbing identification subelement (742): for detecting the FHSS letter in interference signal source Number, identification information is sent to display unit (750)；
Wherein the FHSS signal in detection interference signal source includes:
Obtain the FFT data with spectrum information；
Judge the most whether be that FHSS detects pattern；
If it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value FHSS_DET_THRESH；
If signal intensity is more than setting threshold value FHSS_DET_THRESH, then judge letter to be detected Number whether meet FHSS narrow band spectrum feature, specifically include: find spectrum peak peak_val and Peak peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak Centered by peak_bin, upwards downwards in the middle of respectively take three frequency spectrum points as upper amplitude threshold upr_sum, Middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold upr_sum, When middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meets pre-conditioned, determine and treat Detection signal meets FHSS narrow band spectrum feature；
If signal to be detected meets FHSS narrow band spectrum feature, it is determined that currently detected doubtful FHSS disturbs signal；
Judge whether to detect that doubtful FHSS disturbs signal first；If it is, initialize doubtful FHSS nuisance counter, record detects the initial time of doubtful FHSS interference signal simultaneously；As Fruit is not to detect that doubtful FHSS disturbs signal first, updates doubtful FHSS nuisance counter；
By current doubtful FHSS interference signal the time of advent with detect doubtful FHSS disturb signal Initial time subtract each other to obtain time difference, it is judged that time difference whether overtime threshold value；If the time Difference more than time threshold, then resets doubtful FHSS nuisance counter；
If time difference is not more than time threshold, then whether judge the value of doubtful FHSS nuisance counter More than number of hops threshold value；If the value of FHSS nuisance counter is more than number of hops threshold value, the most really Recognize and detect that FHSS disturbs；Otherwise, doubtful FHSS nuisance counter is reset；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold Lwr_sum meets:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) the preset FHSS_CENTER_THRESH of center_sum > amplitude.
System the most according to claim 1, classification and Detection unit (740) including:
WiFi signal disturbance ecology subelement (743): for detecting the WiFi signal in interference signal source, Identification information is sent to display unit (750)；
Wherein the WiFi signal in detection interference signal source includes:
Obtain the FFT data with spectrum information；
Judge the most whether be that WiFi detects pattern；
If it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value WIFI_DET_THRESH；
If signal intensity is more than setting threshold value WIFI_DET_THRESH, then judge letter to be detected Number whether meeting WiFi spectrum signature, wherein WiFi spectrum signature is broader frequency spectrum, and WiFi The frequency spectrum numerical value exceeding half in frequency spectrum is more than 1/4th of peak value, when detecting in the given time During the protensive features of multiple continuous similar signal, determine that signal to be detected meets WiFi spectrum signature；
If signal to be detected meets WiFi spectrum signature, it is determined that currently detected doubtful WiFi does Disturb signal；
Judge whether to detect that doubtful WiFi disturbs signal first；If it is, initialize doubtful WiFi Nuisance counter, record detects the initial time of doubtful WiFi interference signal simultaneously；Else if It not to detect that doubtful WiFi disturbs signal first, doubtful WiFi nuisance counter is updated；
By the time of advent of current doubtful WiFi interference signal with doubtful WiFi interference signal detected Initial time subtracts each other to obtain time difference, it is judged that whether time difference is more than time threshold, if time difference More than time threshold, then reset doubtful WiFi nuisance counter；
If time difference is not more than time threshold, then whether judge the value of doubtful WiFi nuisance counter More than counter threshold, if the value of doubtful WiFi nuisance counter is more than counter threshold, then confirm Detect that WiFi disturbs；Otherwise, doubtful WiFi nuisance counter is reset.
System the most according to claim 1, classification and Detection unit (740) including:
Continuous wave signal disturbance ecology subelement (404): for detecting the continuous wave letter in interference signal source Number, identification information is sent to display unit (750)；
Wherein the continuous wave signal in detection interference signal source includes:
Obtain the FFT data with spectrum information；
Judge the most whether be that continuous wave CW detects pattern；
If it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value CW_DET_THRESH；
If signal intensity is more than setting threshold value CW_DET_THRESH, then judge signal to be detected Whether meet CW narrow band spectrum feature, specifically include: find spectrum peak peak_val and peak value Position peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak Centered by peak_bin, upwards downwards in the middle of respectively take three frequency spectrum points as upper amplitude threshold upr_sum, Middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold upr_sum, When middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meets pre-conditioned, determine and treat Detection signal meets CW narrow band spectrum feature；
If signal to be detected meets CW narrow band spectrum feature, it is determined that detect that doubtful CW disturbs Signal；
Accumulate the persistent period of doubtful CW interference signal；
Initial time by the time of advent of current doubtful CW interference signal with doubtful CW interference signal Subtract each other to obtain time difference, it is judged that whether time difference is more than time threshold CW_INT_CONFIRM_WIN；If time difference is more than time threshold CW_INT_CONFIRM_WIN, it is determined that detect that CW disturbs, output CW detect information；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold Lwr_sum meets:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > amplitude threshold CW_INT_DET_THRESH.
8. a wireless signal interference detection method based on spectrum analysis, it is characterised in that described side Method includes:
A. collect the wireless signal in environment, collected wireless signal is carried out fast Fourier transform FFT, to obtain the FFT data with spectrum information, the wherein said FFT with spectrum information Data at least include: wireless signal strength, the wireless signal persistent period, the timestamp of wireless signal and Make an uproar at the bottom of wireless signal；
B. time-domain information is obtained and from the FFT data with spectrum information from collected wireless signal Obtain spectrum information；
C. extract temporal signatures from acquired time-domain information, and extract from acquired spectrum information Spectrum signature；
D. according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, with really Determine classification and Detection result；And
E., interactive interface is provided, thus shows classification and Detection result by described interactive interface.
Method the most according to claim 8, wherein said when acquired time-domain information extracts Characteristic of field includes: according to acquired time-domain information, determines that the interference signal in certain interference source exists The percentage load presented in cycle, and according to acquired time-domain information, determine certain interference source Interference the signal persistent period within preset time；
And extract spectrum signature from acquired spectrum information to include:
According to acquired spectrum information, determine the reception letter that the interference signal in certain interference source is met Number intensity indicating RSSI value；
According to acquired spectrum information, determine the specific frequency that the interference signal in certain interference source is met The mid frequency of spectrum.
Method the most according to claim 8, according to temporal signatures and spectrum signature to be detected Wireless signal carry out classification and Detection, to determine that classification and Detection result includes:
A1) acquisition has the FFT data of spectrum information；
B1) mid frequency of the signal to be detected obtained according to mid frequency subelement, it is judged that letter to be detected Number whether meet the characteristic condition of microwave oven mid frequency；
C1) if meeting the characteristic condition of microwave oven mid frequency, then judge the most whether be microwave oven inspection Survey pattern；Otherwise, step a1 is carried out)；
D1) if microwave oven detection pattern, then judge that whether the signal intensity of signal to be detected is more than setting Determine threshold value MWO_DET_THRESH；Otherwise, step a1 is carried out)；
E1) if signal intensity is more than setting threshold value MWO_DET_THRESH, then judge to be detected Whether signal meets microwave oven MWO narrow band spectrum feature, specifically includes: find spectrum peak Peak_val and peak peak_bin, defines amplitude threshold according to spectrum peak peak_val, Centered by peak peak_bin, upwards centre respectively takes three frequency spectrum points as upper amplitude threshold downwards Value upr_sum, middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold Value upr_sum, middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meets default bar During part, determine that signal to be detected meets MWO narrow band spectrum feature；Otherwise, step a1 is carried out)；
F1) if signal to be detected meets MWO narrow band spectrum feature, it is determined that currently detected doubtful MWO disturbs signal；Otherwise, step a1 is carried out)；
G1) judge whether to detect that doubtful MWO disturbs signal first；If it is, initialize doubtful MWO nuisance counter, and record the initial time doubtful MWO interference signal being detected, enter Row step a1)；If not detecting that doubtful MWO disturbs signal, then to doubtful MWO first Nuisance counter updates；
H1) by current doubtful MWO interference signal the time of advent with detect that doubtful MWO disturbs The initial time of signal subtracts each other to obtain time difference, it is judged that time difference whether overtime threshold value；If Time difference is more than time threshold, then reset doubtful MWO nuisance counter, carry out step a1)；
I1) if time difference is not more than time threshold, then obtain many by dutycycle duty_cucle unit The dutycycle Duty_cycle feature of individual MWO interference signal, if dutycycle Duty_cycle is special Levy and meet microwave oven signal characteristic, then confirm microwave oven interference to be detected；Otherwise, doubtful MWO is reset Nuisance counter, carries out step a1)；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold Lwr_sum meets:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) the preset MWO_INT_DET_THRESH of center_sum > amplitude；
Or, according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, To determine that classification and Detection result includes:
A2) acquisition has the FFT data of spectrum information；
B2) judge the most whether be that FHSS detects pattern；
C2) if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value FHSS_DET_THRESH；Otherwise, step a2 is carried out)；
D2) if signal intensity is more than setting threshold value FHSS_DET_THRESH, then judge to be detected Whether signal meets FHSS narrow band spectrum feature, specifically includes: find spectrum peak peak_val with And peak peak_bin, define amplitude threshold according to spectrum peak peak_val, with peak Centered by peak_bin, upwards downwards in the middle of respectively take three frequency spectrum points as upper amplitude threshold upr_sum, Middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold upr_sum, When middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meets pre-conditioned, determine and treat Detection signal meets FHSS narrow band spectrum feature；Otherwise, step a2 is carried out)；
E2) if signal to be detected meets FHSS narrow band spectrum feature, it is determined that currently detected doubtful FHSS disturbs signal；Otherwise, step a2 is carried out)；
F2) judge whether to detect that doubtful FHSS disturbs signal first；If it is, initialize doubtful FHSS nuisance counter, record detects the initial time of doubtful FHSS interference signal simultaneously；Enter Row step a2)；
If not detecting that doubtful FHSS disturbs signal, to doubtful FHSS nuisance counter first Update；
G2) by current doubtful FHSS interference signal the time of advent with detect doubtful FHSS interference letter Number initial time subtract each other to obtain time difference, it is judged that time difference whether overtime threshold value；
If time difference is more than time threshold, then resets doubtful FHSS nuisance counter, carry out step a2)；
H2) if time difference is not more than time threshold, then judge that the value of doubtful FHSS nuisance counter is No more than number of hops threshold value；If the value of FHSS nuisance counter is more than number of hops threshold value, then Confirm to detect that FHSS disturbs；Otherwise, reset doubtful FHSS nuisance counter, carry out step a2)；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold Lwr_sum meets:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) the preset FHSS_CENTER_THRESH of center_sum > amplitude；
Or, according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, To determine that classification and Detection result includes:
A3) acquisition has the FFT data of spectrum information；
B3) judge the most whether be that WiFi detects pattern；
C3) if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value WIFI_DET_THRESH；Otherwise, step a3 is carried out)；
D3) if signal intensity is more than setting threshold value WIFI_DET_THRESH, then judge to be detected Whether signal meets WiFi spectrum signature, and wherein WiFi spectrum signature is broader frequency spectrum, and WiFi The frequency spectrum numerical value exceeding half in frequency spectrum is more than 1/4th of peak value, when detecting in the given time During the protensive features of multiple continuous similar signal, determine that signal to be detected meets WiFi spectrum signature； Otherwise, step a3 is carried out)；
E3) if signal to be detected meets WiFi spectrum signature, it is determined that currently detected doubtful WiFi Interference signal；Otherwise, step a3 is carried out)；
F3) judge whether to detect that doubtful WiFi disturbs signal first；If it is, initialize doubtful WiFi nuisance counter, record detects the initial time of doubtful WiFi interference signal otherwise simultaneously, Carry out step a3)；
If not detecting that doubtful WiFi disturbs signal, to doubtful WiFi nuisance counter first Newly,
G3) by current doubtful WiFi interference signal the time of advent with detect doubtful WiFi interference letter Number initial time subtract each other to obtain time difference, it is judged that time difference whether more than time threshold, if time Between difference more than time threshold, then reset doubtful WiFi nuisance counter, carry out step a3)；
H3) if time difference is not more than time threshold, then judge that the value of doubtful WiFi nuisance counter is It is no more than counter threshold, if the value of doubtful WiFi nuisance counter is more than counter threshold, the most really Recognize and detect that WiFi disturbs；Otherwise, reset doubtful WiFi nuisance counter, carry out step a3)；
Or, according to temporal signatures and spectrum signature, wireless signal to be detected is carried out classification and Detection, To determine that classification and Detection result includes:
A4) acquisition has the FFT data of spectrum information；
B4) judge the most whether be that continuous wave CW detects pattern；
C4) if it is, judge that whether the signal intensity of signal to be detected is more than setting threshold value CW_DET_THRESH, otherwise, carries out step a4)；
D4) if signal intensity is more than setting threshold value CW_DET_THRESH, then letter to be detected is judged Number whether meet CW narrow band spectrum feature, specifically include: find spectrum peak peak_val and peak Value position peak_bin, defines amplitude threshold according to spectrum peak peak_val, with peak Centered by peak_bin, upwards downwards in the middle of respectively take three frequency spectrum points as upper amplitude threshold upr_sum, Middle amplitude threshold center_sum, lower amplitude threshold lwr_sum, when upper amplitude threshold upr_sum, When middle amplitude threshold center_sum and lower amplitude threshold lwr_sum meets pre-conditioned, determine and treat Detection signal meets CW narrow band spectrum feature；Otherwise, step a4 is carried out)；
E4) if signal to be detected meets CW narrow band spectrum feature, it is determined that doubtful CW detected Interference signal；
F4) persistent period of doubtful CW interference signal is accumulated；
G4) by the time of advent of current doubtful CW interference signal and initiateing of doubtful CW interference signal Time subtracts each other to obtain time difference, it is judged that whether time difference is more than time threshold CW_INT_CONFIRM_WIN；If time difference is more than time threshold CW_INT_CONFIRM_WIN, it is determined that detect that CW disturbs, output CW detect information； Otherwise, step a4 is carried out)；
Wherein go up amplitude threshold upr_sum, middle amplitude threshold center_sum and lower amplitude threshold Lwr_sum meets:
1)lwr_sum<center_sum/4；
2)upr_sum<center_sum/4；
3) center_sum > amplitude threshold CW_INT_DET_THRESH.
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Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104468001B (en) * 2014-11-26 2017-04-19 北京邮电大学 Signal identification method and system based on radio signal frequency spectrum feature template
CN105744541A (en) * 2014-12-10 2016-07-06 乐视致新电子科技（天津）有限公司 Wireless router channel selection method, wireless router channel selection device and wireless router
CN104684013B (en) * 2015-02-10 2018-06-22 深圳市盛路物联通讯技术有限公司 The anti-interference method and device of wireless telecommunications
CN105049141B (en) * 2015-05-26 2017-04-05 西安电子科技大学 A kind of inter-signal interference relationship analysis method based on multidimensional interference space model
CN105353390A (en) * 2015-12-03 2016-02-24 谭圆圆 Navigation system enabling unmanned aerial vehicle to avoid wireless interference and method
US9553694B1 (en) * 2016-02-02 2017-01-24 Ford Global Technologies, Llc RF jamming mitigation system and method
CN105549500A (en) * 2016-03-04 2016-05-04 橙朴（上海）智能科技有限公司 Intelligent equipment combining WiFi and microwaves
CN106330385B (en) * 2016-08-29 2018-11-09 电子科技大学 A kind of interference type recognition methods
CN106341192B (en) * 2016-08-31 2019-01-18 成都中星世通电子科技有限公司 A kind of transmitting station signal characteristic Dynamic Recognition method
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CN109752600B (en) * 2019-01-14 2021-06-08 电子科技大学 Abnormal electromagnetic signal analysis system and method based on software defined radio technology
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CN111092632B (en) * 2019-12-03 2022-04-05 成都众志天成科技有限公司 Interference suppression method and interference suppressor
CN112188459B (en) * 2020-09-29 2023-10-03 普联技术有限公司 Signal identification method, device and equipment
CN112135315B (en) * 2020-10-30 2024-01-02 北京六捷科技有限公司 Method and system for detecting transmission interference rate
CN113259029B (en) * 2021-05-04 2022-03-22 中国人民解放军32802部队 Real-time automatic detection and identification method suitable for unmanned aerial vehicle signals
CN114499570B (en) * 2021-12-31 2023-09-29 华为技术有限公司 Information transmission method, radio frequency device and control device
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CN114845411B (en) * 2022-07-04 2022-09-02 希诺麦田技术（深圳）有限公司 Ad-hoc network anti-interference method based on interference perception and application
CN115296759A (en) * 2022-07-15 2022-11-04 电子科技大学 Interference identification method based on deep learning
CN116155416B (en) * 2023-01-06 2023-10-03 昆山巴仑通讯技术有限公司 Signal interference prevention test system of mobile terminal equipment

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7143320B2 (en) * 2001-12-31 2006-11-28 Intel Corporation Increasing data throughput on a wireless local area network in the presence of intermittent interference
CN102147429B (en) * 2011-02-28 2013-04-24 中国科学院国家天文台 Broadband microwave power meter and interference signal filtering method
CN103517284B (en) * 2012-06-29 2016-06-29 国际商业机器公司 The method and apparatus that interference signal is carried out interference process
CN103580762A (en) * 2013-11-15 2014-02-12 无锡儒安科技有限公司 Wireless signal type recognition method based on energy patterns

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