CN109067478A - A kind of unmanned plane detection method, device and equipment - Google Patents
A kind of unmanned plane detection method, device and equipment Download PDFInfo
- Publication number
- CN109067478A CN109067478A CN201810910989.8A CN201810910989A CN109067478A CN 109067478 A CN109067478 A CN 109067478A CN 201810910989 A CN201810910989 A CN 201810910989A CN 109067478 A CN109067478 A CN 109067478A
- Authority
- CN
- China
- Prior art keywords
- signal
- narrow band
- band signal
- frequency
- unmanned plane
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/18502—Airborne stations
- H04B7/18506—Communications with or from aircraft, i.e. aeronautical mobile service
Abstract
The application discloses a kind of unmanned plane detection method, device and equipment, this method comprises: acquiring broadband signal with preset signal acquisition parameter, signal acquisition parameter includes receiving centre frequency, sample rate and signal acquisition duration；Broadband signal is converted into frequency-region signal from time-domain signal；According to default narrow band signal parameter, narrow band signal is extracted from broadband signal；Default narrow band signal parameter includes extracting centre frequency and extraction bandwidth；Each narrow band signal is converted into time-domain signal from frequency-region signal；Each narrow band signal is synchronized and demodulated, the demodulating information of each narrow band signal is respectively obtained；According to the demodulating information of each narrow band signal, it is determined whether there are unmanned planes.The application can be acquired based on single signal, complete the detection simultaneously to various unmanned planes.The detection to various unmanned planes simultaneously is efficiently completed, the detection efficiency of unmanned plane is substantially increased to required various narrow band signals in addition, can be realized the disposable separation and Extraction from broadband signal.
Description
Technical field
This application involves field of signal processing, and in particular to a kind of unmanned plane detection method, device and equipment.
Background technique
Currently, the development of explosion type occurs in unmanned plane industry, more and more unmanned plane application scenarios generate in succession, no
Only include valid application scene, such as it is legal take photo by plane, express delivery delivery；Further include illegal application scene, such as takes on the sly, throws illegal object
Body etc..It due to unmanned plane relative low price and is easy to obtain, so more and more people possess and use unmanned plane.Only pass through
Legal means, which carries out control to unmanned plane, can no longer meet the demand of current unmanned plane Normalization rule.The development of unmanned plane industry
Need the effective ways and equipment that control is carried out to unmanned plane of specification.
A part to unmanned plane control is belonged to the detection, defence, interference etc. of unmanned plane, wherein to unmanned plane
Detection belongs to the basis of various pieces.Currently, the method detected to unmanned plane not only can be using objects such as camera, radars
Reason mode can also be realized by way of detection no-manned machine distant control signal and figure communication number.
Currently, most of unmanned plane detection method is the remote signal and figure communication using wireless communication chips to unmanned plane
Detection realization number is carried out, still, since wireless communication chips generally only support specific signaling protocol, such as WIFI agreement or indigo plant
Tooth agreement etc., so, this unmanned plane detection mode can only detect the unmanned plane of single signal agreement, and different factories
Family, different type of machines unmanned plane generally use different signaling protocol and realize, so, current detection mode cannot achieve to not
Same producer, different type of machines, unlike signal agreement unmanned plane while detect.
Summary of the invention
To solve the above problems, this application provides a kind of unmanned plane detection method, device and equipment, specific technical solution
It is as follows:
In a first aspect, this application provides a kind of unmanned plane detection methods, which comprises
With preset signal acquisition parameter, broadband signal is acquired, the signal acquisition parameter includes receiving centre frequency, adopting
Sample rate and signal acquisition duration；
The broadband signal is converted into frequency-region signal from time-domain signal；
According to default narrow band signal parameter, narrow band signal is extracted from the broadband signal；Wherein, the default narrowband letter
Number parameter includes extracting centre frequency and extracting bandwidth；
The each narrow band signal extracted is converted into time-domain signal from frequency-region signal；
The each narrow band signal for being transformed into time-domain signal is synchronized and demodulated, the solution of each narrow band signal is respectively obtained
Adjust information；
According to the demodulating information of each narrow band signal, it is determined whether there are unmanned planes.
Optionally, the basis presets narrow band signal parameter, extracts narrow band signal from the broadband signal；Wherein, institute
Stating default narrow band signal parameter includes extracting centre frequency and extraction bandwidth, comprising:
Obtain the broader frequency spectrum of the broadband signal；
According to the default narrow band signal parameter, narrowband signal spectrum is extracted from the broader frequency spectrum；
According to the narrowband signal spectrum extracted, corresponding narrow band signal is determined.
It is optionally, described that the broadband signal is converted into frequency-region signal from time-domain signal, comprising:
Using Fast Fourier Transform (FFT) FFT, the broadband signal is converted into frequency-region signal from time-domain signal；
Correspondingly, each narrow band signal that will be extracted is converted into time-domain signal from frequency-region signal, specifically:
Using an inverse fast fourier IFFT, each narrow band signal extracted is converted into time domain letter from frequency-region signal
Number.
Optionally, the default narrow band signal parameter further includes signal type, described according to each narrow band signal
Demodulating information, it is determined whether there are unmanned planes, comprising:
It detects in the demodulating information of each narrow band signal with the presence or absence of corresponding signal type；
If there are corresponding signal types in the demodulating information of any narrow band signal, it is determined that there are unmanned planes.
Optionally, the method also includes:
It is determining there are after unmanned plane, the frequency hopping sequence of the unmanned plane is determined according to the demodulating information of the narrow band signal
Column, stepped-frequency interval and or unmanned plane identification code.
Second aspect, present invention also provides a kind of unmanned machine detecting device, described device includes:
Acquisition module, for acquiring broadband signal with preset signal acquisition parameter, the signal acquisition parameter includes connecing
Receive centre frequency, sample rate and signal acquisition duration；
First conversion module, for the broadband signal to be converted into frequency-region signal from time-domain signal；
Extraction module, for extracting narrow band signal from the broadband signal according to narrow band signal parameter is preset；Wherein,
The default narrow band signal parameter includes extracting centre frequency and extraction bandwidth；
Second conversion module, for each narrow band signal extracted to be converted into time-domain signal from frequency-region signal；
Synchronous demodulation module, for each narrow band signal for being transformed into time-domain signal to be synchronized and is demodulated, respectively
To the demodulating information of each narrow band signal；
First determining module, for the demodulating information according to each narrow band signal, it is determined whether there are unmanned planes.
Optionally, the extraction module, comprising:
Acquisition submodule, for obtaining the broader frequency spectrum of the broadband signal；
Extracting sub-module, for extracting narrow band signal from the broader frequency spectrum according to the default narrow band signal parameter
Frequency spectrum；
First determines submodule, for determining corresponding narrow band signal according to the narrowband signal spectrum extracted.
Optionally, first conversion module, is specifically used for:
Using Fast Fourier Transform (FFT) FFT, the broadband signal is converted into frequency-region signal from time-domain signal；
Correspondingly, second conversion module, is specifically used for:
Using an inverse fast fourier IFFT, each narrow band signal extracted is converted into time domain letter from frequency-region signal
Number.
Optionally, the default narrow band signal parameter further includes signal type, first determining module, comprising:
Detection sub-module whether there is corresponding signal type in the demodulating information for detecting each narrow band signal；
Second determines submodule, in the demodulating information of any narrow band signal there are when corresponding signal type, really
Surely there is unmanned plane.
Optionally, described device further include:
Second determining module determines institute according to the demodulating information of the narrow band signal for determining there are after unmanned plane
State the frequency hop sequences of unmanned plane, stepped-frequency interval and or unmanned plane identification code.
The third aspect, present invention also provides a kind of unmanned plane detection device, the equipment includes memory and processor,
Said program code is transferred to the processor for storing program code by the memory；
The processor is used for according to the instruction in said program code, executes described in any one of first aspect nobody
Machine testing method.
In unmanned plane detection method provided by the present application, with preset signal acquisition parameter, broadband signal, the letter are acquired
Number acquisition parameter includes receiving centre frequency, sample rate and signal acquisition duration；The broadband signal is converted from time-domain signal
At frequency-region signal；According to default narrow band signal parameter, narrow band signal is extracted from the broadband signal；Wherein, it is described preset it is narrow
Band signal parameter includes extracting centre frequency and extraction bandwidth；When each narrow band signal extracted is converted into from frequency-region signal
Domain signal；The each narrow band signal for being transformed into time-domain signal is synchronized and demodulated, the solution of each narrow band signal is respectively obtained
Adjust information；According to the demodulating information of each narrow band signal, it is determined whether there are unmanned planes.The application can be based on single width
Band signal acquisition, completes the detection simultaneously to various unmanned planes.In addition, can be realized leniently due in signal processing
Disposable separation and Extraction is to required various narrow band signals in band signal, so, the application can efficiently complete simultaneously to various
The detection of unmanned plane substantially increases the detection efficiency of unmanned plane.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the drawings in the following description are only some examples of the present application, for
For those of ordinary skill in the art, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is a kind of flow chart of unmanned plane detection method provided by the embodiments of the present application；
Fig. 2 is a kind of structural schematic diagram of unmanned machine detecting device provided by the embodiments of the present application；
Fig. 3 provides a kind of structural schematic diagram of unmanned plane detection device for the embodiment of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
Currently, most of unmanned plane is to transmit remote signal and image transmitting (figure passes) letter by way of radio communication
Number.According to the difference of producer, difference of type etc., these unmanned plane signals use different communication modes, frequency band and communication protocols
View is transmitted.In order to reduce interference, most of unmanned plane additionally uses frequency hopping spread spectrum (English: Frequency hopping
Spectrum spreading) mode send above-mentioned unmanned plane signal, therefore, make between different unmanned planes in time and frequency band
With seldom coincidence.
However, major part wireless communication chips only support specific signaling protocol, such as WiFi agreement, this kind of chip at present
The corresponding various wireless communication agreement of a variety of unmanned planes can not be detected simultaneously on single platform.In addition, some unmanned planes use
Wireless communication protocol be producer's proprietary protocol, do not disclose, such as big boundary complete series unmanned plane, be difficult to find corresponding core at present
Piece detects it.Therefore, one kind is needed on single platform while can to detect a variety of logical using different radios at present
The unmanned plane of agreement is believed, to improve the detection efficiency of unmanned plane.
For this purpose, this application provides a kind of unmanned plane detection method, direct acquisition broadband signal, and disposably from collecting
Broadband signal in separate and extract various types, various manufacturers, the corresponding narrow band signal of various wireless communication protocols, Jin Ertong
It crosses and each narrow band signal isolated is synchronized and demodulated, the information completion pair finally demodulated according to each narrow band signal
The detection of unmanned plane.The application can be realized by the acquisition to broadband signal and detect a variety of unmanned planes by single signal,
In addition, it is efficient to collected the Wideband Signal Processing, it can be realized the detection completed within a short period of time to unmanned plane.
The embodiment for introducing a kind of unmanned plane detection method provided by the present application in detail below is that the application is real with reference to Fig. 1
A kind of flow chart of unmanned plane detection method of example offer is applied, this method specifically includes:
S101: with preset signal acquisition parameter, broadband signal is acquired, the signal acquisition parameter includes reception center frequency
Rate, sample rate and signal acquisition duration.
In the embodiment of the present application, broadband signal is acquired using signal receiver, specifically, being arranged in advance for signal receiver
Signal acquisition parameter, wherein signal acquisition parameter includes receiving centre frequency, sample rate and signal acquisition duration etc., for example, will
The reception centre frequency of signal receiver is set as 2450MHZ, sets 100MHZ for sample rate, and signal acquisition duration is arranged
For 1s, then the signal of continuous 1s is collected using the signal receiver, and the covered bandwidth of collected signal is 100MHZ, packet
Containing all signals in 2400~2500MHZ.
S102: the broadband signal is converted into frequency-region signal from time-domain signal.
In the embodiment of the present application, after signal receiver collects broadband signal, collected broadband is believed by processor
It number is handled, specifically includes: broadband signal is converted into frequency-region signal from time-domain signal.
In a kind of embodiment, using Fast Fourier Transform (FFT) FFT, broadband signal is converted into frequency domain letter from time-domain signal
Number.Since the computation complexity of FFT is low, broadband signal is handled using FFT, it can be by broadband signal efficiently from time domain
Signal is converted into frequency-region signal, so, this processing mode of the application can be improved the detection efficiency of unmanned plane.
S103: according to default narrow band signal parameter, narrow band signal is extracted from the broadband signal；Wherein, described default
Narrow band signal parameter includes extracting centre frequency and extraction bandwidth.
In the embodiment of the present application, after collected broadband signal is converted into frequency-region signal from time-domain signal, from conversion
At the narrow band signal for disposably extracting needs in the broadband signal of frequency-region signal.Specifically, demand is extracted according to narrow band signal,
Narrow band signal parameter is preset, and according to default narrow band signal parameter, narrow band signal is extracted from broadband signal.
In practical application, unmanned plane manufacturer, type etc. that staff can in advance use current unmanned plane in the market
Statistics is investigated, with frequency range, the used wireless communication protocol etc. where the currently used unmanned plane of determination, and then basis
The information setting of statistics extracts centre frequency and extracts bandwidth.
After completing to extract centre frequency and extract the setting of bandwidth, according to extracting centre frequency and extracting bandwidth, from adopting
Narrow band signal is extracted in the broadband signal collected.Specifically, may include multiple extraction centers in the narrow band signal parameter of setting
Frequency and extraction bandwidth according to multiple extraction centre frequencies and extract bandwidth, extract multiple narrow band signals.For example, to extract
Centre frequency 2404MHz and extraction bandwidth 1MHz, extracts corresponding narrow band signal from collected broadband signal；Meanwhile
To extract centre frequency 2405MHz and extract bandwidth 1MHz, corresponding narrowband letter is extracted from collected broadband signal
Number；Meanwhile to extract centre frequency 2412MHz and extract bandwidth 20MHz, extracted from collected broadband signal corresponding
Narrow band signal.
In practical application, preset narrow band signal parameter in further include signal type, specially each extractions centre frequency and
Extract the corresponding signal type of bandwidth.For example, extracting centre frequency 2432MHz signal type corresponding with bandwidth 20MH is extracted
For WIFI signal, that is, the wireless communication protocol for operating in the unmanned plane of 2422MHz~2442MHz frequency range is WIFI agreement, if
Detecting the frequency range, there are WIFI signals, then there are unmanned planes for explanation.
In a kind of optional embodiment, narrow band signal is extracted from broadband signal and is specifically as follows, first acquisition broadband letter
Number broader frequency spectrum, secondly, extract narrowband signal spectrum from broader frequency spectrum according to default narrow band signal parameter, finally, according to
The narrowband signal spectrum extracted determines corresponding narrow band signal, to complete the extraction of narrow band signal.This method can be disposable
Slave broadband signal in extract required all narrow band signals, improve the efficiency of unmanned machine testing.
S104: each narrow band signal extracted is converted into time-domain signal from frequency-region signal.
In the embodiment of the present application, after extracting each narrow band signal, each narrow band signal is believed from frequency domain by processor
Number it is converted into time-domain signal.
In a kind of embodiment, an inverse fast fourier IFFT can be used, by each narrow band signal extracted from
Frequency-region signal is converted into time-domain signal.
S105: synchronizing and demodulate to each narrow band signal for being transformed into time-domain signal, respectively obtains each narrowband letter
Number demodulating information.
In the embodiment of the present application, after each narrow band signal is converted into time-domain signal, each narrow band signal is synchronized
And demodulation, respectively obtain the demodulating information of each narrow band signal, wherein it is narrow to carry this in the demodulating information of each narrow band signal
The various information of band signal, for example, the information such as signal type (such as WIFI signal), unmanned plane identification code (ID).
In addition, being synchronized to signal and demodulation belongs to technology commonly used in the art, no longer elaborate herein.
S106: according to the demodulating information of each narrow band signal, it is determined whether there are unmanned planes.
In the embodiment of the present application, according to default narrow band signal parameter, various unmanned planes places are extracted from broadband signal
The narrow band signal of frequency range obtains the demodulating information of each narrow band signal by the processing to each narrow band signal, eventually by right
The analysis of the demodulating information of each narrow band signal, it is determined whether there are unmanned planes.
In practical application, since the frequency range where various unmanned planes is fixed, and specific wireless communication protocol, example are used
Such as, certain unmanned plane possesses 30 to 50 frequency hopping channels between 2400~2483MHZ, and each frequency hopping channel bandwidth is
1MHz, and use OFDM modulation scheme, then the embodiment of the present application is analyzed in the demodulating information of the narrow band signal to the frequency range
Afterwards, if it is determined that carry the OFDM signal of 1MHz bandwidth, then illustrating the frequency range, there are unmanned planes, and otherwise nothing is not present in the frequency range
It is man-machine.Each frequency range can be determined with the presence or absence of unmanned plane, to realize based on single broadband signal using aforesaid way
Acquisition, completes the detection of various unmanned planes.
In addition, determined in S106 there are after unmanned plane, it can also be further according to the demodulating information of each narrow band signal
Determination existing for unmanned plane frequency hop sequences, stepped-frequency interval and or unmanned plane identification code, to be subsequent further to unmanned plane
It carries out interference and information is provided.
Specifically, the signal transmitting and receiving rule of corresponding unmanned plane can be known by the demodulating information of analysis narrow band signal,
To determine the frequency hop sequences of the unmanned plane, stepped-frequency interval etc. according to the signal transmitting and receiving rule of unmanned plane, it is convenient for subsequent standard
True effectively interferes the unmanned plane.
In addition, by narrow band signal obtain demodulating information analyze can also know corresponding unmanned plane unmanned plane know
Other code, so that the unmanned plane identification code that later use is capable of the unique identification unmanned plane establishes black and white lists.For example, for police
With, military unmanned plane, it can use unmanned plane identification code and establish white list, to exclude the interference to it.
Using unmanned plane detection method provided by the above embodiment, can be acquired based on the single signal of broadband signal, it is complete
At the detection simultaneously to various unmanned planes.In addition, can be realized disposable from broadband signal due in signal processing
Separation and Extraction to required various narrow band signals, so, the embodiment of the present application can be completed efficiently simultaneously to various unmanned planes
Detection, substantially increases the detection efficiency of unmanned plane.
Corresponding to the above method embodiment, present invention also provides a kind of unmanned machine detecting devices with reference to Fig. 2 is
A kind of structural schematic diagram of unmanned machine detecting device provided by the embodiments of the present application, described device include:
Acquisition module 201, for acquiring broadband signal, the signal acquisition parameter packet with preset signal acquisition parameter
It includes and receives centre frequency, sample rate and signal acquisition duration；
First conversion module 202, for the broadband signal to be converted into frequency-region signal from time-domain signal；
Extraction module 203, for extracting narrow band signal from the broadband signal according to narrow band signal parameter is preset；Its
In, the default narrow band signal parameter includes extracting centre frequency and extraction bandwidth；
Second conversion module 204, for each narrow band signal extracted to be converted into time-domain signal from frequency-region signal；
Synchronous demodulation module 205, for each narrow band signal for being transformed into time-domain signal to be synchronized and demodulated, respectively
Obtain the demodulating information of each narrow band signal；
First determining module 206, for the demodulating information according to each narrow band signal, it is determined whether there are nobody
Machine.
Wherein, the extraction module 203, comprising:
Acquisition submodule, for obtaining the broader frequency spectrum of the broadband signal；
Extracting sub-module, for extracting narrow band signal from the broader frequency spectrum according to the default narrow band signal parameter
Frequency spectrum；
First determines submodule, for determining corresponding narrow band signal according to the narrowband signal spectrum extracted.
Specifically, first conversion module, is specifically used for:
Using Fast Fourier Transform (FFT) FFT, the broadband signal is converted into frequency-region signal from time-domain signal；
Correspondingly, second conversion module, is specifically used for:
Using an inverse fast fourier IFFT, each narrow band signal extracted is converted into time domain letter from frequency-region signal
Number.
In a kind of embodiment, the default narrow band signal parameter further includes signal type, first determining module, packet
It includes:
Detection sub-module whether there is corresponding signal type in the demodulating information for detecting each narrow band signal；
Second determines submodule, in the demodulating information of any narrow band signal there are when corresponding signal type, really
Surely there is unmanned plane.
In addition, described device further include:
Second determining module determines institute according to the demodulating information of the narrow band signal for determining there are after unmanned plane
State the frequency hop sequences of unmanned plane, stepped-frequency interval and or unmanned plane identification code.
Unmanned machine detecting device provided by the embodiments of the present application can be realized following functions: with preset signal acquisition ginseng
Number, acquires broadband signal, and the signal acquisition parameter includes receiving centre frequency, sample rate and signal acquisition duration；It will be described
Broadband signal is converted into frequency-region signal from time-domain signal；According to default narrow band signal parameter, extracted from the broadband signal narrow
Band signal；Wherein, the default narrow band signal parameter includes extracting centre frequency and extraction bandwidth；The each narrowband that will be extracted
Signal is converted into time-domain signal from frequency-region signal；The each narrow band signal for being transformed into time-domain signal is synchronized and demodulated, point
The demodulating information of each narrow band signal is not obtained；According to the demodulating information of each narrow band signal, it is determined whether there are nobody
Machine.The embodiment of the present application can be acquired based on the single signal of broadband signal, complete the detection simultaneously to various unmanned planes.Separately
Outside, believe due in signal processing, can be realized from broadband signal disposable separation and Extraction to required various narrowbands
Number, so, the embodiment of the present application can efficiently complete the detection to various unmanned planes simultaneously, substantially increase the detection of unmanned plane
Efficiency.
Correspondingly, the embodiment of the present invention also provides a kind of unmanned plane detection device, it is shown in Figure 3, may include:
Processor 301, memory 302, input unit 303 and output device 304.Processor in unmanned plane detection device
301 quantity can be one or more, take a processor as an example in Fig. 3.In some embodiments of the invention, processor
301, memory 302, input unit 303 and output device 304 can be connected by bus or other means, wherein with logical in Fig. 3
It crosses for bus connection.
Memory 302 can be used for storing software program and module, and processor 301 is stored in memory 302 by operation
Software program and module, thereby executing the various function application and data processing of unmanned plane detection device.Memory 302
It can mainly include storing program area and storage data area, wherein storing program area can storage program area, at least one function institute
The application program etc. needed.In addition, memory 302 may include high-speed random access memory, it can also include non-volatile deposit
Reservoir, for example, at least a disk memory, flush memory device or other volatile solid-state parts.Input unit 303 can
Number for receiving input or character information, and generation and the user setting and function control of unmanned plane detection device have
The signal of pass inputs.
Specifically in the present embodiment, processor 301 can be according to following instruction, by one or more application program
The corresponding executable file of process be loaded into memory 302, and run by processor 301 storage in the memory 302
Application program, to realize the various functions in above-mentioned unmanned plane detection method.
For device embodiment, since it corresponds essentially to embodiment of the method, so related place is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not
In the case where making the creative labor, it can understand and implement.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Detailed Jie has been carried out to a kind of unmanned plane detection method, device and equipment provided by the embodiment of the present application above
It continues, specific examples are used herein to illustrate the principle and implementation manner of the present application, and the explanation of above embodiments is only
It is to be used to help understand the method for this application and its core ideas；At the same time, for those skilled in the art, according to this Shen
Thought please, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not manage
Solution is the limitation to the application.
Claims (11)
1. a kind of unmanned plane detection method, which is characterized in that the described method includes:
With preset signal acquisition parameter, broadband signal is acquired, the signal acquisition parameter includes receiving centre frequency, sample rate
With signal acquisition duration；
The broadband signal is converted into frequency-region signal from time-domain signal；
According to default narrow band signal parameter, narrow band signal is extracted from the broadband signal；Wherein, the default narrow band signal ginseng
Number includes extracting centre frequency and extraction bandwidth；
The each narrow band signal extracted is converted into time-domain signal from frequency-region signal；
The each narrow band signal for being transformed into time-domain signal is synchronized and demodulated, the demodulation letter of each narrow band signal is respectively obtained
Breath；
According to the demodulating information of each narrow band signal, it is determined whether there are unmanned planes.
2. unmanned plane detection method according to claim 1, which is characterized in that the basis presets narrow band signal parameter,
Narrow band signal is extracted from the broadband signal；Wherein, the default narrow band signal parameter includes extracting centre frequency and extraction
Bandwidth, comprising:
Obtain the broader frequency spectrum of the broadband signal；
According to the default narrow band signal parameter, narrowband signal spectrum is extracted from the broader frequency spectrum；
According to the narrowband signal spectrum extracted, corresponding narrow band signal is determined.
3. unmanned plane detection method according to claim 1, which is characterized in that turn the broadband signal from time-domain signal
Change frequency-region signal into, comprising:
Using Fast Fourier Transform (FFT) FFT, the broadband signal is converted into frequency-region signal from time-domain signal；
Correspondingly, each narrow band signal that will be extracted is converted into time-domain signal from frequency-region signal, specifically:
Using an inverse fast fourier IFFT, each narrow band signal extracted is converted into time-domain signal from frequency-region signal.
4. unmanned plane detection method according to claim 1-3, which is characterized in that the default narrow band signal ginseng
Number further includes signal type, the demodulating information according to each narrow band signal, it is determined whether there are unmanned planes, comprising:
It detects in the demodulating information of each narrow band signal with the presence or absence of corresponding signal type；
If there are corresponding signal types in the demodulating information of any narrow band signal, it is determined that there are unmanned planes.
5. unmanned plane detection method according to claim 4, which is characterized in that the method also includes:
It is determining there are after unmanned plane, the frequency hop sequences of the unmanned plane is determined according to the demodulating information of the narrow band signal, are jumped
Frequency interval and or unmanned plane identification code.
6. a kind of unmanned machine detecting device, which is characterized in that described device includes:
Acquisition module, for acquiring broadband signal with preset signal acquisition parameter, the signal acquisition parameter includes in receiving
Frequency of heart, sample rate and signal acquisition duration；
First conversion module, for the broadband signal to be converted into frequency-region signal from time-domain signal；
Extraction module, for extracting narrow band signal from the broadband signal according to narrow band signal parameter is preset；Wherein, described
Default narrow band signal parameter includes extracting centre frequency and extraction bandwidth；
Second conversion module, for each narrow band signal extracted to be converted into time-domain signal from frequency-region signal；
Synchronous demodulation module respectively obtains each for each narrow band signal for being transformed into time-domain signal to be synchronized and demodulated
The demodulating information of a narrow band signal；
First determining module, for the demodulating information according to each narrow band signal, it is determined whether there are unmanned planes.
7. unmanned machine detecting device according to claim 6, which is characterized in that the extraction module, comprising:
Acquisition submodule, for obtaining the broader frequency spectrum of the broadband signal；
Extracting sub-module, for extracting narrowband signal spectrum from the broader frequency spectrum according to the default narrow band signal parameter；
First determines submodule, for determining corresponding narrow band signal according to the narrowband signal spectrum extracted.
8. unmanned machine detecting device according to claim 6, which is characterized in that first conversion module is specifically used for:
Using Fast Fourier Transform (FFT) FFT, the broadband signal is converted into frequency-region signal from time-domain signal；
Correspondingly, second conversion module, is specifically used for:
Using an inverse fast fourier IFFT, each narrow band signal extracted is converted into time-domain signal from frequency-region signal.
9. according to the described in any item unmanned machine detecting devices of claim 6-8, which is characterized in that the default narrow band signal ginseng
Number further includes signal type, first determining module, comprising:
Detection sub-module whether there is corresponding signal type in the demodulating information for detecting each narrow band signal；
Second determines submodule, for, there are when corresponding signal type, determination to be deposited in the demodulating information of any narrow band signal
In unmanned plane.
10. unmanned machine detecting device according to claim 9, which is characterized in that described device further include:
Second determining module determines the nothing according to the demodulating information of the narrow band signal for determining there are after unmanned plane
Man-machine frequency hop sequences, stepped-frequency interval and or unmanned plane identification code.
11. a kind of unmanned plane detection device, which is characterized in that the equipment includes memory and processor,
Said program code is transferred to the processor for storing program code by the memory；
The processor is used for according to the instruction in said program code, and perform claim requires described in any one of 1-5 nobody
Machine testing method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810910989.8A CN109067478A (en) | 2018-08-10 | 2018-08-10 | A kind of unmanned plane detection method, device and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810910989.8A CN109067478A (en) | 2018-08-10 | 2018-08-10 | A kind of unmanned plane detection method, device and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109067478A true CN109067478A (en) | 2018-12-21 |
Family
ID=64683420
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810910989.8A Pending CN109067478A (en) | 2018-08-10 | 2018-08-10 | A kind of unmanned plane detection method, device and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109067478A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110958200A (en) * | 2019-12-06 | 2020-04-03 | 成都华日通讯技术有限公司 | Unmanned aerial vehicle identification method based on radio feature extraction |
| CN111652183A (en) * | 2020-06-19 | 2020-09-11 | 桂林电子科技大学 | Unmanned aerial vehicle detection and identification method based on image-transmission signal multi-feature fusion |
| CN112600644A (en) * | 2021-02-06 | 2021-04-02 | 陕西山利科技发展有限责任公司 | Integrated anti-unmanned aerial vehicle system and method with white list and accurate striking |
| CN112929141A (en) * | 2021-01-20 | 2021-06-08 | 南京中新赛克科技有限责任公司 | Unmanned aerial vehicle detection and identification method and system based on graph-borne signal matching |
| US20210407305A1 (en) * | 2020-06-29 | 2021-12-30 | SkySafe, Inc. | Systems and methods for detecting, monitoring, and mitigating the presence of unauthorized drones |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103944632A (en) * | 2013-12-27 | 2014-07-23 | 哈尔滨安天科技股份有限公司 | Method and system for capturing and storing 315MHz or 433MHz wireless digital communication signal |
| CN106772227A (en) * | 2017-01-12 | 2017-05-31 | 浙江大学 | A kind of unmanned plane direction determining method based on the identification of vocal print multiple-harmonic |
| CN106877947A (en) * | 2017-01-20 | 2017-06-20 | 浙江大学 | A kind of radio-frequency channel parallel detection device and method of unmanned plane |
| US20170359820A1 (en) * | 2016-06-10 | 2017-12-14 | Qualcomm Incorporated | Reference signal presence and/or bandwidth determination in narrowband systems |
| CN107911183A (en) * | 2017-11-23 | 2018-04-13 | 成都中星世通电子科技有限公司 | A kind of unmanned plane recognition methods and system based on live signal signature analysis |
| CN110289918A (en) * | 2018-03-13 | 2019-09-27 | 深圳智空未来信息技术有限公司 | A kind of wireless signal detection method and system |
-
2018
- 2018-08-10 CN CN201810910989.8A patent/CN109067478A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103944632A (en) * | 2013-12-27 | 2014-07-23 | 哈尔滨安天科技股份有限公司 | Method and system for capturing and storing 315MHz or 433MHz wireless digital communication signal |
| US20170359820A1 (en) * | 2016-06-10 | 2017-12-14 | Qualcomm Incorporated | Reference signal presence and/or bandwidth determination in narrowband systems |
| CN106772227A (en) * | 2017-01-12 | 2017-05-31 | 浙江大学 | A kind of unmanned plane direction determining method based on the identification of vocal print multiple-harmonic |
| CN106877947A (en) * | 2017-01-20 | 2017-06-20 | 浙江大学 | A kind of radio-frequency channel parallel detection device and method of unmanned plane |
| CN107911183A (en) * | 2017-11-23 | 2018-04-13 | 成都中星世通电子科技有限公司 | A kind of unmanned plane recognition methods and system based on live signal signature analysis |
| CN110289918A (en) * | 2018-03-13 | 2019-09-27 | 深圳智空未来信息技术有限公司 | A kind of wireless signal detection method and system |
Non-Patent Citations (1)
| Title |
|---|
| 罗德与施瓦茨(中国)科技有限公司: "无人机自动识别、定位和压制系统(三)", 《中国无线电》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110958200A (en) * | 2019-12-06 | 2020-04-03 | 成都华日通讯技术有限公司 | Unmanned aerial vehicle identification method based on radio feature extraction |
| CN111652183A (en) * | 2020-06-19 | 2020-09-11 | 桂林电子科技大学 | Unmanned aerial vehicle detection and identification method based on image-transmission signal multi-feature fusion |
| CN111652183B (en) * | 2020-06-19 | 2022-03-29 | 桂林电子科技大学 | Unmanned aerial vehicle detection and identification method based on image-transmission signal multi-feature fusion |
| US20210407305A1 (en) * | 2020-06-29 | 2021-12-30 | SkySafe, Inc. | Systems and methods for detecting, monitoring, and mitigating the presence of unauthorized drones |
| US11663922B2 (en) * | 2020-06-29 | 2023-05-30 | SkySafe, Inc. | Systems and methods for detecting, monitoring, and mitigating the presence of unauthorized drones |
| CN112929141A (en) * | 2021-01-20 | 2021-06-08 | 南京中新赛克科技有限责任公司 | Unmanned aerial vehicle detection and identification method and system based on graph-borne signal matching |
| CN112929141B (en) * | 2021-01-20 | 2024-04-05 | 南京中新赛克科技有限责任公司 | Unmanned aerial vehicle detection and recognition method and system based on graph signaling signal matching |
| CN112600644A (en) * | 2021-02-06 | 2021-04-02 | 陕西山利科技发展有限责任公司 | Integrated anti-unmanned aerial vehicle system and method with white list and accurate striking |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109067478A (en) | A kind of unmanned plane detection method, device and equipment | |
| CN103141142A (en) | System and method for collaborative spectrum analysis | |
| PH12019502799A1 (en) | Service processing method, device, and system | |
| CN102780534B (en) | Universal electromagnetic signal automatic searching method | |
| CN104158611A (en) | System and method of detecting interference of wireless signal based on spectral analysis | |
| CN103947242A (en) | Method, device and system for collecting and identifying interference | |
| CN109150780B (en) | WiFi ToF ranging positioning system based on channel state information | |
| CN102100049A (en) | Concurrent sync channel searching | |
| CN110463104A (en) | For handling the technology of the downlink control channel resource collection of overlapping | |
| CN105790863A (en) | Single-channel frequency spectrum monitoring device | |
| CN110351766A (en) | The method for carrying out multiple cell blind examination and measurement processing for 5G NR | |
| CN102668658A (en) | Autocorrelation-based spectrum sensing for fm signals | |
| CN204102307U (en) | For the harvester of double frequency, multi-frequency microwave link measurement quantity of precipitation | |
| CN105892356B (en) | OBD device identification method and system based on request of data type | |
| CN111791921A (en) | Method and device for acquiring position information of train | |
| CN113285810B (en) | Target equipment login method and device, storage medium and electronic device | |
| CN107276597A (en) | A kind of two benches frequency spectrum perception optimization method based on USRPN200 | |
| CN105929724B (en) | OBD product identification method and system based on request of data cycle | |
| CN109004960B (en) | Method for eliminating phase error of CSI measurement between devices based on bidirectional interaction | |
| CN109117020B (en) | Positioning method and device of touch position, storage medium and electronic device | |
| CN110167058A (en) | The recognition methods and mobile terminal of interfering frequency, blog management method and server | |
| US11356874B2 (en) | Detecting network devices without joining a network | |
| CN105652858B (en) | OBD device identification methods and system based on request of data interval | |
| CN101807961B (en) | Method for realizing spectrum sensing based on bi-spectrum diagonal slice | |
| CN104202097A (en) | High-speed scan method used for digital monitoring receiver |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20191108 Address after: Group 2, Shihua village, mincun Town, Hancheng City, Weinan City, Shaanxi Province Applicant after: Shi Shuangyin Address before: 100192 Building 3, No. 1, Courtyard 8, Anfu Street, Shunyi District, Beijing, 304 Applicant before: BEIJING LIZHENG TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220302 Address after: 518000 room 401g, building 5, Shenzhen Software Park Phase I, Keji Zhongsan Road, Yuehai street, Nanshan District, Shenzhen, Guangdong Applicant after: SHENZHEN SHENGKONG TECHNOLOGY Co.,Ltd. Address before: 715403 group 2, fossil village, mincun Town, Hancheng City, Weinan City, Shaanxi Province Applicant before: Shi Shuangyin |
|
| TA01 | Transfer of patent application right | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181221 |
|
| RJ01 | Rejection of invention patent application after publication |