CN110035025A - A kind of detection recognition method of the multicarrier mixed signal based on direct feature extraction - Google Patents
A kind of detection recognition method of the multicarrier mixed signal based on direct feature extraction Download PDFInfo
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Abstract
The invention discloses a kind of detection recognition methods of multicarrier mixed signal based on direct feature extraction, characterized in that includes the following steps: 1) to receive mixed signal；2) Hilbert transform；3) FRWT multiresolution analysis；4) thresholding selects；5) signal identification.This method can reduce computational complexity, can recognize that the multi-carrier signal in mixed signal, it can be applied to non-cooperative communication signal to receive, expand the received sphere of actions of non-cooperation such as frequency spectrum detection, military surveillance, information countermeasure, and can also be used in positive communication, facilitate design and improves more efficient, safer wireless communication mechanism.
Description
Technical field
The present invention relates to wireless communication technology field, specifically a kind of multicarrier mixed signal based on direct feature extraction
Detection recognition method.
Background technique
It is more and more using the wireless traffic terminal of multi-transceiver technology with the development of wireless communication technique, frequency spectrum resource
Growing tension, forms that time domain highly dense, frequency spectrum overlapping, space are interlaced, time dynamic complicated wireless
Electromagnetic environment, interfering with each other for equipment room happen occasionally, such as can have unmanned plane, wifi, various electronics in public ISM frequency range
The signal of equipment transmission, it is especially more prominent in the public activity occasion of some large sizes, especially with mobile unmanned plane to other
Equipment interference is the most serious, these interference signals can not only upset wireless communication order, also seriously affect the normal life of people
And safety, therefore these wireless communication interference signals are found and identified in time, there is realistic meaning.Multicarrier is high by it
Spectrum efficiency and strong antijamming capability are used by many system of broadband wireless communication, and it is logical to be widely used in 4G mobile communication, satellite
The fields such as letter, WLAN, digital video broadcasting and unmanned plane image transmission system, and become next generation mobile communication 5G's
Candidate technologies, so the identification of multicarrier mixed signal is the major issue of mixed signal process field, it has become current demand signal
One hot and difficult issue problem in treatment research field.For mixed signal identification there are mainly two types of method, first is that based on letter
Number separation mixed signal identification, second is that the mixed signal based on direct feature extraction identifies.
Currently, the correlative study of multicarrier mixed signal identification is less, main method has:
1. Lu Mingquan et al. also proposed what null adjustment (Null-Steering) Beam-former was combined with AR model
Mixed signal is decomposed into multiple single signals first with null adjustment Beam-former by multi signal recognition methods, this method,
Then estimate the instantaneous frequency of each signal as characteristic of division using AR model, and devise RBF neural as point
Class device is used for final identification, and this method is primarily adapted for use in the case where three kinds of signals of BPSK, 2FSK and CW signal mix two-by-two, this
Separation method calculation amount is small, but Null-Steering Beam-former resolution ratio is low, and output signal-to-noise ratio is not made to reach maximum
Change；
2. for orthogonal frequency division multiplexing (OFDM) multicarrier mixed signal under same channel, in decline and molding filtration parameter
Under unknown condition, using higher-order determinant and circulation spectrum signature, its identification is realized, but this method complexity is high；
3. proposing a kind of multicarrier interferer signal detection recognizer based on signal spectrum signature.It can not only be detected
Whether target ofdm signal is disturbed, and can also distinguish interference signal is single carrier interference signal or overloading wave interference letter
Number, but this method can not identify the interference from no-manned machine distant control signal.
Summary of the invention
The purpose of the present invention is in view of the deficiencies of the prior art, and it is mixed to provide a kind of multicarrier based on direct feature extraction
Close the detection recognition method of signal.This method can reduce computational complexity, can recognize that the multi-carrier signal in mixed signal,
It can be applied to non-cooperative communication signal to receive, expand the received effect models of non-cooperation such as frequency spectrum detection, military surveillance, information countermeasure
It encloses, and can also be used in positive communication, facilitate design and improve more efficient, safer wireless communication mechanism.
Realizing the technical solution of the object of the invention is:
A kind of detection recognition method of the multicarrier mixed signal based on direct feature extraction, unlike the prior art
It is to include the following steps:
1) it receives mixed signal: on-air radio electromagnetism mixed signal, wireless electromagnetic mixing letter is received using broadband receiver
Number include big boundary unmanned plane figure communication number be QPSK_OFDM signal, other unmanned plane figure communications number, big boundary no-manned machine distant control letter
Number, WiFi signal, that is, BPSK_OFDM signal and single-carrier signal, that is, 16QAM signal in 802.11a agreement；
2) Hilbert transform Hilbert transform: is done to mixed signal:
Wherein x (t) is real signal, then obtains the analytic signal of x (t) are as follows:
The envelope A (t) of analytic signal, the i.e. instantaneous amplitude of s (t) are as follows:
3) FRWT multiresolution analysis: FRWT multiresolution analysis is carried out to the signal after Hilbert transform, is done first
Then the FRFT of different p ranks carries out 3 layers of wavelet decomposition as wavelet basis using haar small echo, first layer is thin after extraction is decomposed
Save component sd1(t), its instantaneous amplitude A is soughtd1(t), defining the ratio between variance and mean value biquadratic of its instantaneous amplitude is required spy
Value indicative Rd1, then:
Rd1=var [Ad1(n)]/mean4[Ad1(n)] (1.4),
It is OFDM technology that the figure of mainstream, which passes signalling technique, at present, therefore the feature that big boundary unmanned plane figure communication number obtains is denoted as
RThe big boundary TUCH of d1_, and so on, the feature that other unmanned plane figure communications number obtain is denoted as Rd1_TUCH, WiFi letter in 802.11a agreement
Number obtained feature is denoted as R respectivelyd1_wifi, the feature of big boundary no-manned machine distant control signal is denoted as Rd1_TH, the feature of single-carrier signal
It is denoted as Rd1_SC；
4) thresholding selects: after the characteristic value for obtaining identification signal by step 3), selecting decision threshold, decision threshold is arranged
Are as follows:
5) signal identification: making decisions and classify according to following principle, to identify signal:
If Rd1> th1 is then big boundary figure communication number；
If th2 < Rd1< th1 is then wifi signal；
If th3 < Rd1< th2 is then other unmanned plane figure communications number；
If th4 < Rd1< th3 is then single-carrier signal；
If Rd1< th4 is then big boundary no-manned machine distant control signal.
Mixed signal described in step 1) includes:
(1) WiFi signal or figure communication number are as follows:
Wherein, { cn,kBe modulation mapping symbol sebolic addressing, it is zero-mean, independent identically distributed, and N is subcarrier number,
f0It is modulation centre carrier frequency, Δ f is frequency interval between subcarrier, and g (t) is impulse function, TsIt is element duration, k is
The he number of observation；
(2) remote signal are as follows:
Wherein, T is observation time, T0For take-off time, ThFor Hopping time, the i.e. inverse of hop rate, fkFor k-th of time slot
Hopping frequencies, belong to Hopping frequencies collection；Wherein,
(3) single-carrier signal are as follows:
MQAM signal:
Wherein, anAnd bnFor amplitude gain, and It represents and sends
The possible phase of M of signal, andA represents normalization amplitude information, and g (t) represents pulse-shaping letter
Number, TsRepresent symbol period, fcRepresent carrier frequency, φ0Represent the initial phase of carrier wave, and φ0∈ 2 π m/M, m=1,
2 ... M-1 },M possible phase for sending signal is represented, and
The technical program mainly considers 16QAM single-carrier modulated signal and WiFi signal, big boundary unmanned plane figure communication number, big
The mixed signal two-by-two of boundary no-manned machine distant control signal and other unmanned plane figure communications number.
If transmission signal is x (t), channel white Gaussian noise is w (t), and reception signal is s (t), then has following relationship:
Wherein, x (t) is the sum of two component signals, a in above-mentioned mixed signalkIt is the mixed stocker of k-th of component signal
Number, xkIt is k-th of component signal.
Th1=217.9513, th2=26.7095, th3=10.7572, th4=0.1637 described in step 4).
The technical program is identified based on the multicarrier mixed signal of direct feature extraction, utilizes FRWT multiresolution analysis characteristic
It extracts feature and identifies multicarrier mixed signal, on-air radio electromagnetic signal, received signal are received using broadband receiver first
Have big boundary unmanned plane figure communication number, other unmanned plane figure communications number, big boundary no-manned machine distant control signal, in 802.11a agreement
Then WiFi signal and single-carrier signal carry out Hilbert transform to received signal and connect to reduce computational complexity
To after Hilbert transform signal carry out FRWT multiresolution analysis, extract the details coefficients construction feature of its first layer
Value, finally selects suitable decision threshold, and then identify the multi-carrier signal in mixed signal.
The technical program selects the non-cooperative detection of multicarrier mixed signal and receives as research object, exploratory development overloading
Wave mixed signal detects identification technology, can make up the deficiency of current mixed signal research field, it can not only be widely applied
It is received in non-cooperative communication signal, expands the received sphere of actions of non-cooperation such as frequency spectrum detection, military surveillance, information countermeasure, and
And can also be used in positive communication, facilitate design and improves more efficient, safer wireless communication mechanism.Therefore, the present invention is not only
It has important practical significance, but also possesses long-term benefit.
This method can reduce computational complexity, can recognize that the multi-carrier signal in mixed signal, can be applied to non-conjunction
Make signal of communication to receive, expand the received sphere of actions of non-cooperation such as frequency spectrum detection, military surveillance, information countermeasure, but also can
It is communicated for forward direction, facilitates design and improve more efficient, safer wireless communication mechanism.
Detailed description of the invention:
Fig. 1 is multicarrier mixed signal identification process schematic diagram in embodiment；
Fig. 2 is the classification process figure that two kinds of signals are mutually mixed in embodiment；
Fig. 3 is the FRWT multiresolution analysis characteristic pattern of p=0.2 real component 1 in embodiment；
Fig. 4 is the amplified characteristic pattern of Fig. 3；
Fig. 5 is the amplified characteristic pattern of Fig. 4；
The discrimination figure of mixed signal when Fig. 6 is p=0.2 in embodiment.
Specific embodiment
The contents of the present invention are further elaborated with reference to the accompanying drawings and examples, but are not to limit of the invention
It is fixed.
Embodiment:
Referring to Fig.1, a kind of detection recognition method of the multicarrier mixed signal based on direct feature extraction, including walk as follows
It is rapid:
1) it receives mixed signal: on-air radio electromagnetism mixed signal, wireless electromagnetic mixing letter is received using broadband receiver
Number include big boundary unmanned plane figure communication number, other unmanned plane figure communications number, big boundary no-manned machine distant control signal, in 802.11a agreement
WiFi signal and single-carrier signal；
2) Hilbert transform Hilbert transform: is done to mixed signal:
Wherein x (t) is real signal, then obtains the analytic signal of x (t) are as follows:
The envelope A (t) of analytic signal, the i.e. instantaneous amplitude of s (t) are as follows:
3) FRWT multiresolution analysis: FRWT multiresolution analysis is carried out to the signal after Hilbert transform, is done first
Then the FRFT of different p ranks carries out 3 layers of wavelet decomposition as wavelet basis using haar small echo, first layer is thin after extraction is decomposed
Save component sd1(t), its instantaneous amplitude A is soughtd1(t), defining the ratio between variance and mean value biquadratic of its instantaneous amplitude is required spy
Value indicative Rd1, then:
Rd1=var [Ad1(n)]/mean4[Ad1(n)] (1.4),
It is OFDM technology that the figure of mainstream, which passes signalling technique, at present, therefore the feature that big boundary unmanned plane figure communication number obtains is denoted as
RThe big boundary TUCH of d1_, and so on, the feature that other unmanned plane figure communications number obtain is denoted as Rd1_TUCH, WiFi letter in 802.11a agreement
Number obtained feature is denoted as R respectivelyd1_wifi, the feature of unmanned remote controlled signal is denoted as Rd1_TH, the feature of single-carrier signal is denoted as
Rd1_SC；
4) thresholding selects: after the characteristic value for obtaining identification signal by step 3), selecting decision threshold, decision gate is arranged in this example
It is limited to:
5) signal identification: making decisions and classify according to following principle, to identify signal:
If Rd1> th1 is then big boundary figure communication number；
If th2 < Rd1< th1 is then wifi signal；
If th3 < Rd1< th2 is then other unmanned plane figure communications number；
If th4 < Rd1< th3 is then single-carrier signal；
If Rd1< th4 is then big boundary remote signal.
Mixed signal described in step 1) includes:
(1) WiFi signal or figure communication number are as follows:
Wherein, { cn,kBe modulation mapping symbol sebolic addressing, it is zero-mean, independent identically distributed, and N is subcarrier number,
f0It is modulation centre carrier frequency, Δ f is frequency interval between subcarrier, and g (t) is impulse function, TsIt is element duration, k is
The he number of observation；
(2) remote signal are as follows:
Wherein, T is observation time, T0For take-off time, ThFor Hopping time, the i.e. inverse of hop rate, fkFor k-th of time slot
Hopping frequencies, belong to Hopping frequencies collection；Wherein,
(3) single-carrier signal are as follows:
MQAM signal:
Wherein, anAnd bnFor amplitude gain, and It represents and sends
The possible phase of M of signal, andA represents normalization amplitude information, and g (t) represents pulse-shaping letter
Number, TsRepresent symbol period, fcRepresent carrier frequency, φ 00Represent the initial phase of carrier wave, and φ 00∈ 2 π m/M, m=1,
2 ... M-1 },M possible phase for sending signal is represented, and
This example mainly consider 16QAM single-carrier modulated signal and WiFi signal, big boundary unmanned plane figure communication number, big boundary nobody
The mixed signal two-by-two of machine remote signal and other unmanned plane figure communications number.
If transmission signal is x (t), channel white Gaussian noise is w (t), and reception signal is s (t), then has following relationship:
Wherein, x (t) is the sum of two component signals, a in above-mentioned mixed signalkIt is the mixed stocker of k-th of component signal
Number, xkIt is k-th of component signal, is illustrated in figure 2 the classification process figure that two kinds of signals are mutually mixed in this example, it can be seen that is logical
Cross the modulation signature R for taking component 1d1, component 2 modulation signature R 'd1, and may be implemented using suitable decision threshold to mixing
The identification of signal.
Th1=217.9513, th2=26.7095, th3=10.7572, th4=0.1637 described in step 4).
In this example, the on-air radio electromagnetism mixed signal that broadband receiver receives have big boundary unmanned plane figure communication number,
Also there is WiFi signal and list in the 802.11a agreement of same frequency range in other unmanned plane figure communications number, big boundary remote signal
Carrier signal, the subcarrier modulation modes of big boundary figure communication number are QPSK, sub-carrier number 1024,202, unloaded wave, before circulation
Sew 128, subcarrier spacing 9.3KHz；Other unmanned plane figure communication sub-carriers modulation systems be QPSK, sub-carrier number 64,
Cyclic prefix 16, subcarrier spacing 312.5KHz；Big boundary remote signal: hop period 14ms, Hopping frequencies 3MHz-
100MHz, frequency interval 2MHz, frequency hopping collection are [100,78,56,34,80,38,44,50,70,90], hop rate 71hop/s；It is based on
The WiFi signal of 802.11a agreement, subcarrier modulation modes are respectively BPSK, and sub-carrier number 64 is protected wherein there is 12 unloaded waves
0.8 μ s, carrier frequency 2.4GHz, OFDM symbol rate 0.25MB/s are divided between shield；Single-carrier signal (16QAM), character rate
2000Bauds/s, carrier frequency 8KHz, sample frequency 40K Hz, he number are 200, and the above signal sampling frequencies are
200MHz, simulated environment are based on awgn channel, and it is special to have carried out 100 illiteracies under identical signal-to-noise ratio by SNR ranges 0:2:30dB
Caro experiment, wherein mixed signal is the mixed signal two-by-two of above-mentioned signal.
To verify proposed feature to the adaptability of multi -components time-frequency overlapped signal, then component 1 is analyzed, is schemed
3, Fig. 4, Fig. 5 are the FRWT multiresolution analysis characteristic pattern of p=0.2 real component 1 in this example, it can be seen that mentioned feature is to component
1 adaptability with time-frequency overlapped signal is similarly also suitable component 2, mixed signal when Fig. 6 is p=0.2 in this example
Discrimination figure, the identification which defines each component is correctly primary correctly identification, and independent experiment number is 100, to difference
Signal combination (component 1+ component 2) is tested, it can be seen that is extracted using the multiresolution analysis of fractional wavelet transform
Characteristic value R1、R′1It identifies that the effect of mixed signal is preferable, has all reached 100% in signal-to-noise ratio 8dB rate identified above.
Claims (3)
1. a kind of detection recognition method of the multicarrier mixed signal based on direct feature extraction, characterized in that including walking as follows
It is rapid:
1) it receives mixed signal: on-air radio electromagnetism mixed signal, wireless electromagnetic mixed signal packet is received using broadband receiver
Include big boundary unmanned plane figure communication number, other unmanned plane figure communications number, no-manned machine distant control signal, the WiFi letter in 802.11a agreement
Number and the mixing two-by-two of single-carrier signal, that is, 16QAM signal；
2) Hilbert transform Hilbert transform: is done to mixed signal:
Wherein x (t) is real signal, then obtains the analytic signal of x (t) are as follows:
The envelope A (t) of analytic signal, the i.e. instantaneous amplitude of s (t) are as follows:
3) FRWT multiresolution analysis: FRWT multiresolution analysis is carried out to the signal after Hilbert transform, is different p first
Then the FRFT of rank carries out 3 layers of wavelet decomposition as wavelet basis using haar small echo, extracts the details coefficients of first layer after decomposing
sd1(t), its instantaneous amplitude A is soughtd1(t), defining the ratio between variance and mean value biquadratic of its instantaneous amplitude is required characteristic value
Rd1, then:
Rd1=var [Ad1(n)]/mean4[Ad1(n)] (1.4),
The feature that big boundary unmanned plane figure communication number obtains is denoted as RThe big boundary TUCH of d1_, and so on, what other unmanned plane figure communications number obtained
Feature is denoted as Rd1_TUCH, the feature that the WiFi signal in 802.11a agreement obtains is denoted as R respectivelyd1_wifi, unmanned remote controlled signal
Feature is denoted as Rd1_TH, the feature of single-carrier signal is denoted as Rd1_SC；
4) thresholding selects: after the characteristic value for obtaining identification signal by step 3), selecting decision threshold, decision threshold is arranged are as follows:
5) signal identification: making decisions and classify according to following principle, to identify signal:
If Rd1> th1 is then big boundary figure communication number；
If th2 < Rd1< th1 is then wifi signal；
If th3 < Rd1< th2 is then other unmanned plane figure communications number；
If th4 < Rd1< th3 is then single-carrier signal；
If Rd1< th4 is then remote signal.
2. the detection recognition method of the multicarrier mixed signal according to claim 1 based on direct feature extraction, special
Sign is that mixed signal described in step 1) includes:
(1) WiFi signal or figure communication number are as follows:
Wherein, { cn,kBe modulation mapping symbol sebolic addressing, it is zero-mean, independent identically distributed, and N is subcarrier number, f0It is
Centre carrier frequency is modulated, Δ f is frequency interval between subcarrier, and g (t) is impulse function, TsIt is element duration, k is to see
The he number examined；
(2) remote signal are as follows:
Wherein, T is observation time, T0For take-off time, ThFor Hopping time, the i.e. inverse of hop rate, fkFor the jump of k-th of time slot
Frequent rate belongs to Hopping frequencies collection；Wherein,
(3) single-carrier signal are as follows:
MQAM signal:
Wherein, anAnd bnFor amplitude gain, and It represents and sends signal
M may phase, andA represents normalization amplitude information, and g (t) represents pulse-shaping function,
TsRepresent symbol period, fcRepresent carrier frequency, φ0Represent the initial phase of carrier wave, and φ0∈ 2 π m/M, m=1,2 ... M-
1 },M possible phase for sending signal is represented, and
If transmission signal is x (t), channel white Gaussian noise is w (t), and reception signal is s (t), then has following relationship:
Wherein, x (t) is the sum of two component signals, a in above-mentioned mixed signalkIt is the mixed coefficint of k-th of component signal, xkIt is
K-th of component signal.
3. the detection recognition method of the multicarrier mixed signal according to claim 1 based on direct feature extraction, special
Sign is th1=217.9513, th2=26.7095, th3=10.7572, th4=0.1637 described in step 4).
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