CN106452716B - Unmanned plane signal identification detection method based on Hash fingerprint - Google Patents
Unmanned plane signal identification detection method based on Hash fingerprint Download PDFInfo
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- CN106452716B CN106452716B CN201611021193.4A CN201611021193A CN106452716B CN 106452716 B CN106452716 B CN 106452716B CN 201611021193 A CN201611021193 A CN 201611021193A CN 106452716 B CN106452716 B CN 106452716B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0048—Allocation of pilot signals, i.e. of signals known to the receiver
- H04L5/0051—Allocation of pilot signals, i.e. of signals known to the receiver of dedicated pilots, i.e. pilots destined for a single user or terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
- H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
- H04L9/3231—Biological data, e.g. fingerprint, voice or retina
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Abstract
The invention discloses the unmanned plane signal identification detection algorithms based on Hash fingerprint, the following steps are included: the radiofrequency signal of S1, acquisition wireless signal (including unmanned plane) physical layer preamble code, the envelope for carrying out starting-tool point, extracting wireless signal lead code radiofrequency signal；S2, the lead code signature information of wireless signal, including envelope peak amplitude and location information are obtained using improved peak detection algorithm；S3, the Hash fingerprint that unmanned plane signal is constructed according to lead code signature information, and carry out fingerprint recognition.Algorithm of the invention can extract the signature information of wireless signal, and carry out Hash fingerprint recognition according to the difference of wireless signal lead code radiofrequency signal signature waveform, and unmanned plane signal identification rate is high.
Description
Technical field
The present invention relates to the present invention relates to fields of communication technology, it is related specifically to IEEE 802.11b and IEEE 802.11n
The relevant modulation of the lead code of wireless communication protocol, demodulation mode, and in particular to the unmanned plane signal identification based on Hash fingerprint
Detection algorithm.
Background technique
With the development of science and technology, unmanned plane is no longer applied only for military affairs, commercial market also further expansion.According to
Related research report is shown, it is contemplated that 2018, market scale was up to 110.9 hundred million yuans.But unmanned plane may cause
The risks such as state secret, military secrecy leakage, it is also possible to endanger public security, the problems such as there are invasion of privacy.
Existing unmanned plane discovery technique includes the signal characteristic identification of the data link layer based on WiFi signal；It is based on
The joint development technique sensed more；Sonic detection technology based on TTCP AG-6；Acoustic array technology etc. based on low cost.Its
His also includes electronic scanning radar target detection, electric light (EO) tracking and classification, thermal camera, direction finder, electronic surveillance
Sensor, thermal imaging camera, gyrocontrol to device, acoustic detection technology, 3D-surveillance radar and C3 function, it is light-duty swash
Optical indicator rangefinder, air surveillance radar, electronic warfare system, miniradar detect civilian unmanned plane signal etc..But at present also
Unmanned plane signal is not identified for the difference of the radiofrequency signal wave character information of unmanned plane physical layer preamble code.
Summary of the invention
It is an object of the invention to overcome above-mentioned the deficiencies in the prior art, a kind of unmanned plane letter based on Hash fingerprint is provided
Number recognition detection algorithm.
To achieve the above object, the invention adopts the following technical scheme:
Unmanned plane signal identification detection algorithm based on Hash fingerprint, comprising the following steps:
S1, the radiofrequency signal for acquiring wireless signal (including unmanned plane) physical layer preamble code carry out starting-tool point, extract nothing
The envelope of line signal lead code radiofrequency signal；
S2, the lead code signature information of wireless signal, including envelope peak are obtained using improved peak detection algorithm
Value amplitude and location information；
S3, the Hash fingerprint that unmanned plane signal is constructed according to lead code signature information, and carry out fingerprint recognition.
Further, the radio frequency letter of acquisition wireless signal (including unmanned plane) physical layer preamble code in the step S1
Number, specifically: wireless signal waveform is acquired with equipment such as receiving antenna, oscillographs first, and starting-tool point is carried out to signal, it is right
Related wireless signal carries out envelope extraction.
Further, the improved peak detection algorithm in the step S2 specifically:
S21, input wireless signal lead code radiofrequency signal envelope and relevant peak information, including peak amplitude and position
It sets；
S22, all range values between original waveform adjacent peak are found out；
S23, the amplitude of waveform and the minimum value in two peak values are compared, and judges whether there is amplitude and is less than compared with small peak
The point of value: if so, then removing lesser peak value；If nothing, the comparison of amplitude between next group of adjacent peak is carried out, until all
Adjacent peak all compares completion；
S24, output simultaneously save the array information for reformulating peak amplitude, position.
Further, the concrete operation step of the step S3 are as follows:
S31, the peak amplitude and location information for inputting wireless signal, and the distance between adjacent peak is calculated, form number
Group, Fig. 5 are wireless signal lead code pre-and post-peaking relative position distribution statistical chart；
S32, the mean value for calculating all relative positions, and judge the size of mean value and relative position: set the model of weight
Enclosing is 0 to 1, and sets an initial weight 0.5；If relative position is greater than mean value * weight, it is denoted as 1；If relative position is less than
Mean value * weight, then be denoted as -1；It is other then be denoted as 0；Thus it obtains one group and forms one-dimension array, as wireless communication by 1, -1,0
Number Hash fingerprint；It selects different weights to process, and according to the discrimination of unmanned plane training sample, selects Hash fingerprint recognition
The higher weight of rate is as final weight；
S33, the Hash fingerprint for obtaining all unmanned plane signals, and unmanned plane is instructed according to the Hash fingerprint of different unmanned planes
The discrimination for practicing sample obtains that one group of generality is larger, and the Hash fingerprint of the higher unmanned plane signal of discrimination is as final nothing
Man-machine Hash sample fingerprint；
S34, obtained unmanned plane Hash fingerprint and unknown signaling are compared:
If the Hash fingerprint of unknown signaling is identical as unmanned plane signal Hash fingerprint dimension, by two groups of Hash fingerprints by
One compares；If the Hash fingerprint of unknown signaling is more than unmanned plane signal Hash fingerprint dimension, to the Hash of unknown signaling
Fingerprint end is cut, so that fingerprint dimension is consistent with unmanned plane Hash fingerprint dimension；If the Hash fingerprint ratio of unknown signaling
Unmanned plane signal Hash fingerprint dimension is few, then carries out end zero padding to the Hash fingerprint of unknown signaling, so that unknown signaling
Hash fingerprint dimension is consistent with unmanned plane Hash fingerprint dimension；
S35, unknown signaling number identical as the Hash fingerprint of unmanned plane signal is obtained:
If the identical number of Hash fingerprint is greater than smaller fingerprint dimension * weight, judge two groups of Hash fingerprints for same signal；If
The identical number of Hash fingerprint is less than fingerprint dimension * weight, then judges two groups of Hash fingerprints for unlike signal.
After adopting the above technical scheme, compared with the background technology, the present invention, having the advantages that
The present invention innovatively utilizes the difference of wireless signal lead code radiofrequency signal signature waveform, extracts the spy of wireless signal
Shape information is levied, and carries out Hash fingerprint recognition；The invention proposes the improvement of the unmanned plane signal identification based on Hash fingerprint
Peak detection algorithm, can preferably reduce erroneous judgement of the original peaks detection algorithm to signal peak, improve peak extraction
Accuracy, to improve unmanned plane signal identification rate；The recognition result of actual measurement shows using suitable unmanned plane Hash fingerprint
Discrimination can reach 90% or more, and after using improved peak detection algorithm, the discrimination of unmanned plane signal can reach 95%
More than
Detailed description of the invention
Fig. 1 is Hash fingerprint unmanned plane signal identification detection algorithm general flow chart；
Fig. 2 is unmanned plane lead code envelope extraction schematic diagram；
Fig. 3 is that improved peak detection algorithm counts schematic diagram；
Fig. 4 is wireless signal lead code peak location distribution statistical chart；
Fig. 5 is wireless signal lead code pre-and post-peaking relative position distribution statistical chart；
Fig. 6 is Hash algorithm for recognizing fingerprint flow chart.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Embodiment
Unmanned plane wireless signal further includes IEEE 802.11b and IEEE in 2.4G frequency range in this frequency range
802.11n two kinds of wireless signals.We are by the difference using this 3 kinds of signal lead code wave character information, to unmanned plane
Wireless signal carries out Classification and Identification.
Fig. 1 is the general flow chart of Hash fingerprint unmanned plane signal identification detection algorithm, and the present invention is based on the nothings of Hash fingerprint
Line signal detection algorithm, the different recognition detections by wireless signal physical layer preamble code radiofrequency signal envelope Hash fingerprint are wireless
Signal can effectively identify different wireless signals, achieve the purpose that identify unmanned plane signal.
Unmanned plane signal identification detection algorithm based on Hash fingerprint, it is main include the following three steps:
S1, firstly, utilize the equipment such as receiving antenna, oscillograph acquire wireless signal (including unmanned plane) physical layer preamble
The radiofrequency signal signature waveform of code, the envelope for carrying out starting-tool point, extracting wireless signal lead code radiofrequency signal.
Fig. 2 is unmanned plane lead code envelope extraction schematic diagram.
S2, secondly, using improved peak detection algorithm obtain wireless signal lead code radiofrequency signal envelope peak value believe
Breath, including peak amplitude and position.
Wherein, improved peak detection algorithm is based on original peak detection algorithm.
Improved peak detection algorithm process is as follows:
S21, input wireless signal lead code radiofrequency signal envelope and relevant peak information, including peak amplitude and position
It sets；
S22, all range values between original waveform adjacent peak are found out；
S23, the amplitude of waveform and the minimum value in two peak values are compared, and judges whether there is amplitude and is less than compared with small peak
The point of value: if so, then removing lesser peak value；If nothing, the comparison of amplitude between next group of adjacent peak is carried out, until all
Adjacent peak all compares completion；
S24, output simultaneously save the array information for reformulating peak amplitude, position.
Fig. 3 is using improved peak detection algorithm and original peaks detection algorithm to wireless signal lead code radiofrequency signal
The comparison diagram of envelope peak detection.
Fig. 4 is the wireless signal lead code peak location distribution statistical chart obtained using improved peak detection algorithm.
S3, finally, according to the Hash fingerprint of peak amplitude and position building unmanned plane signal, and carry out fingerprint recognition.
Wherein, specific step is as follows for the building and identification of the Hash fingerprint of unmanned plane signal:
S31, the peak amplitude and location information for inputting wireless signal, and the distance between adjacent peak is calculated, form number
Group, Fig. 5 are wireless signal lead code pre-and post-peaking relative position distribution statistical chart；
S32, the mean value for calculating all relative positions, and judge the size of mean value and relative position: if relative position is big
In mean value * weight, then 1 is denoted as；If relative position is less than mean value * weight, it is denoted as -1；It is other then be denoted as 0；Thus one is obtained
Group forms one-dimension array, as wireless signal Hash fingerprint by 1, -1,0；
S33, the Hash fingerprint for obtaining all unmanned plane signals, and obtain the biggish unmanned plane signal of one group of equal probabilities
Hash fingerprint；
S34, one group of more appropriate unmanned plane signal Hash fingerprint is obtained, and is compared with unknown signaling:
If the Hash fingerprint of unknown signaling is identical as unmanned plane signal Hash fingerprint dimension, by two groups of Hash fingerprints by
One compares；If the Hash fingerprint of unknown signaling is different from unmanned plane signal Hash fingerprint dimension, more less dimension
Part；
S35, unknown signaling number identical as the Hash fingerprint of unmanned plane signal is obtained:
If the identical number of Hash fingerprint is greater than smaller fingerprint dimension * weight, judge two groups of Hash fingerprints for same signal；If
The identical number of Hash fingerprint is less than fingerprint dimension * weight, then judges two groups of Hash fingerprints for unlike signal.
Fig. 6 is the wireless signal lead code radiofrequency signal recognition detection algorithm specific flow chart of Hash fingerprint.
Unmanned plane signal identification detection algorithm proposed by the present invention based on Hash fingerprint, the recognition result of actual measurement show
It can reach 90% or more using suitable unmanned plane Hash fingerprint recognition rate；And after using improved peak detection algorithm, nobody
The discrimination of machine signal can reach 95% or more.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of protection of the claims
Subject to.
Claims (1)
1. the unmanned plane signal identification detection method based on Hash fingerprint, it is characterised in that: the following steps are included:
S1, the radiofrequency signal for acquiring wireless signal physical layer preamble code, before beginning-of-line of going forward side by side detection is to obtain one section of wireless signal
Leading code radiofrequency signal, and extract the envelope of one section of wireless signal lead code radiofrequency signal；
S2, the lead code signature information of wireless signal, including envelope peak width are obtained using improved peak detection algorithm
Degree and location information, wherein the improved peak detection algorithm in the step S2 specifically:
S21, peak detection is carried out to the envelope of wireless signal lead code radiofrequency signal, obtains peak amplitude and position；
S22, all range values between original waveform adjacent peak are found out；
S23, all range values between original waveform adjacent peak are compared with the minimum value in two peak values, and judged whether
There is amplitude to be less than the point compared with small leak；If so, then removing lesser peak value；If nothing, amplitude between next group of adjacent peak is carried out
Comparison, until all adjacent peaks all compare completion；
S24, output simultaneously save the array information for reformulating peak amplitude, position, the lead code characteristic wave as wireless signal
Shape information；
S3, the Hash fingerprint that unmanned plane signal is constructed according to lead code signature information, and carry out fingerprint recognition, wherein institute
State the concrete operation step of step S3 are as follows:
S31, the peak amplitude and location information for inputting wireless signal, and the distance between adjacent peak is calculated, form array；
S32, the mean value for calculating all distances, and judge the size of mean value Yu all distances, wherein set the range of weight as
0 to 1, and set an initial weight 0.5；Distance is greater than mean value * weight if it exists, then is denoted as 1；Distance is less than equal if it exists
Value * weight, then be denoted as -1；It is other then be denoted as 0；Thus it obtains one group and forms one-dimension array, as wireless signal by 1, -1,0
Hash fingerprint；It selects different weights to process, and according to the discrimination of unmanned plane training sample, selects Hash fingerprint recognition rate
Greater than the weight of preset value as final weight；
S33, the Hash fingerprint for obtaining all unmanned plane signals, and according to the Hash fingerprint of different unmanned planes to unmanned plane training sample
This discrimination obtains the Hash fingerprint of one group of unmanned plane signal that generality is big, discrimination is high as final unmanned plane Hash
Sample fingerprint；
S34, obtained unmanned plane Hash fingerprint and unknown signaling are compared:
If the Hash fingerprint of unknown signaling is identical as unmanned plane signal Hash fingerprint dimension, two groups of Hash fingerprints are carried out one by one
Comparison；If the Hash fingerprint of unknown signaling is more than unmanned plane signal Hash fingerprint dimension, to the Hash fingerprint end of unknown signaling
Tail is cut, so that fingerprint dimension is consistent with unmanned plane Hash fingerprint dimension；If the Hash fingerprint of unknown signaling compares unmanned plane
Signal Hash fingerprint dimension is few, then end zero padding is carried out to the Hash fingerprint of unknown signaling, so that the Hash fingerprint of unknown signaling
Dimension is consistent with unmanned plane Hash fingerprint dimension；
S35, unknown signaling number identical as the Hash fingerprint of unmanned plane signal is obtained:
If the identical number of Hash fingerprint is greater than smaller fingerprint dimension * weight, judge two groups of Hash fingerprints for same signal；If Hash
The identical number of fingerprint is less than fingerprint dimension * weight, then judges two groups of Hash fingerprints for unlike signal.
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| CN107947830B (en) * | 2017-11-15 | 2019-06-04 | 电子科技大学 | A kind of radio-frequency fingerprint recognition methods for resisting multi-path jamming |
| CN108280395B (en) * | 2017-12-22 | 2021-12-17 | 中国电子科技集团公司第三十研究所 | Efficient identification method for flight control signals of low-small-slow unmanned aerial vehicle |
| CN108197581B (en) * | 2018-01-10 | 2020-04-21 | 厦门大学 | Unmanned aerial vehicle signal identification detection method based on improved AC-WGANs |
| CN109061632B (en) * | 2018-08-20 | 2020-12-15 | 无锡若飞科技有限公司 | Unmanned aerial vehicle identification method |
| CN111830321B (en) * | 2020-06-29 | 2022-07-01 | 重庆邮电大学 | Unmanned aerial vehicle detection and identification method based on radio frequency fingerprint |
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