CN110190917A - A kind of frequency spectrum cavity-pocket cognitive method, device and the equipment of LTE230MHz electric power wireless private network - Google Patents
A kind of frequency spectrum cavity-pocket cognitive method, device and the equipment of LTE230MHz electric power wireless private network Download PDFInfo
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- 238000000605 extraction Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 description 15
- 230000008447 perception Effects 0.000 description 14
- 238000004422 calculation algorithm Methods 0.000 description 5
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/345—Interference values
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
- H04L25/03159—Arrangements for removing intersymbol interference operating in the frequency domain
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
- H04L2027/0024—Carrier regulation at the receiver end
- H04L2027/0026—Correction of carrier offset
Abstract
The invention discloses a kind of frequency spectrum cavity-pocket cognitive methods of LTE230MHz electric power wireless private network, comprising: receives electric signal to be processed, and calculates the covariance matrix of the electric signal；Frequency deviation compensation is carried out using the covariance matrix carrier frequency bias and according to the carrier frequency bias；Extract the power spectrum boundary of the compensated electric signal of frequency deviation；Go out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition.The accuracy rate for perceiving unauthorized frequency point can be improved in the present invention, thus flexibly, reliably apply unauthorized frequency point resource, and then improve 230MHz frequency range service efficiency.
Description
Technical field
The present invention relates to wireless communication technology fields, more particularly, to a kind of frequency spectrum of LTE230MHz electric power wireless private network
Empty cognitive method, device and equipment.
Background technique
Currently, the communication with electricity consumption monitoring net mainly includes GPRS, CDMA and 230MHz data radio station, in order to
Meet the growth requirement that electricity consumption is intelligently matched in China, the sky that country encourages industry user unauthorized according to the demand application of own service
Ideler frequency point uses, and still, since unauthorized frequency point is not by protection in policy, and unknown interference leads to unappropriated frequency range
(i.e. frequency spectrum cavity-pocket) is difficult to be detected, therefore the service efficiency of 230MHz frequency range is low, and most of frequency point is still in idle state.
Summary of the invention
In view of the above technical problems, the present invention provides a kind of perception of the frequency spectrum cavity-pocket of LTE230MHz electric power wireless private network
The accuracy rate for perceiving unauthorized frequency point can be improved in method, device and equipment, thus flexibly, reliably apply unauthorized frequency point
Resource, and then improve the service efficiency of 230MHz frequency range.The technical solution is as follows:
In a first aspect, the embodiment of the invention provides a kind of frequency spectrum cavity-pocket perception sides of LTE230MHz electric power wireless private network
Method, comprising:
Electric signal to be processed is received, and calculates the covariance matrix of the electric signal；
Frequency deviation compensation is carried out using the covariance matrix carrier frequency bias and according to the carrier frequency bias；
Extract the power spectrum boundary of the compensated electric signal of frequency deviation；
Go out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition.
In a first possible implementation of the first aspect of the invention, described to be carried using the covariance matrix
Wave frequency bias, specifically:
Carrier frequency bias is estimated according to the minimum energy value of the off diagonal element of the covariance matrix.
In a second possible implementation of the first aspect of the invention, described according to the non-right of the covariance matrix
The minimum energy value of diagonal element estimates that carrier frequency bias, specific steps include:
Cost function is constructed according to the covariance matrix；
Calculate each extreme point of the cost function；
By comparing the cost function value of each extreme point, carrier frequency bias is obtained.
In the third possible implementation of first aspect present invention, the extraction compensated electric signal of frequency deviation
Power spectrum boundary, specific steps include:
Calculate the power spectral density of the electric signal；
By carrying out wavelet transformation to the power spectral density, the singular point of wavelet coefficient cumulative function is obtained；
The singular point is analyzed to identify the band edge of each occupied frequency range.
In the 4th kind of possible implementation of first aspect present invention, the analysis singular point is to identify each quilt
The band edge of frequency range is occupied, specifically:
Utilize the cumulative function of power spectral density building three-level scale wavelet transform；
According to the aggregation function, threshold value is chosen with the starting frequency point of the occupied frequency range of determination and terminates frequency point.
In the 5th kind of possible implementation of first aspect present invention, the covariance square for calculating the electric signal
Battle array, specifically:
Fourier transformation and diagonalization of matrix processing are carried out to the electric signal, obtain covariance matrix.
In the 6th kind of possible implementation of first aspect present invention, the LTE230MHz electric power wireless private network
Frequency spectrum cavity-pocket cognitive method, further include calculate identify computation complexity required for frequency spectrum cavity-pocket.
Second aspect, the embodiment of the invention provides a kind of perception of the frequency spectrum cavity-pocket of LTE230MHz electric power wireless private network to fill
It sets, comprising:
Matrix computing module for receiving electric signal to be processed, and calculates the covariance matrix of the electric signal；
Frequency offset processing module, for using the covariance matrix carrier frequency bias and according to the carrier frequency bias
Carry out frequency deviation compensation；
Boundary Extraction module, for extracting the power spectrum boundary of the compensated electric signal of frequency deviation；
Identification module, for going out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition.
The third aspect, the embodiment of the invention provides a kind of perception of the frequency spectrum cavity-pocket of LTE230MHz electric power wireless private network to set
It is standby, which is characterized in that including processor, memory and to store in the memory and be configured as being held by the processor
Capable computer program, the processor realize that LTE230MHz electric power as described above is wireless when executing the computer program
The frequency spectrum cavity-pocket cognitive method of private network.
Compared with the prior art, the embodiment of the present invention has the following beneficial effects:
The present invention provides a kind of frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network, is based on covariance matrix
Any active ues ofdm signal detection, and by estimate and compensation carrier wave frequency deviation realize there are the frequency spectrums under the conditions of carrier wave frequency deviation
Cavity detection.Technical solution of the present invention is sought according to the diagonalization criterion for receiving signal covariance matrix and compensates carrier frequency
Partially, the interference as caused by carrier wave frequency deviation can be efficiently identified out, and interference is reduced by compensation carrier wave frequency deviation, even is eliminated dry
It disturbs, is conducive to improve the accuracy rate for perceiving unauthorized frequency point；The power spectrum boundary of the compensated electric signal of frequency deviation is extracted simultaneously, is led to
Cross analyze the power spectrum Boundary Recognition go out frequency spectrum cavity-pocket with complete frequency spectrum cavity-pocket perception, it is compared with the prior art, of the invention
Technical solution does not need prior information, and can improve detection probability and boundary normalized mean squared error, allows users to
It perceives the frequency spectrum cavity-pocket of 230MHz and applies unauthorized frequency point resource, be conducive to the service efficiency for improving 230MHz frequency range, thus
Be conducive to China and intelligently match electricity consumption development.
Detailed description of the invention
Fig. 1 is the NC-OFDM frequency spectrum perception process for LTE230MHz electric power wireless private network in the embodiment of the present invention
Schematic diagram；
Fig. 2 is the stream of the frequency spectrum cavity-pocket cognitive method of one of embodiment of the present invention LTE230MHz electric power wireless private network
Cheng Tu；
Fig. 3 is the simulated effect figure for the influence that the frequency deviation in the embodiment of the present invention composes channel power；
Fig. 4 is the structure of the frequency spectrum cavity-pocket sensing device of the kind LTE230MHz electric power wireless private network in the embodiment of the present invention
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention is using LTE230MHz electric power wireless private network as research object, it is assumed that any active ues use the transmission of NC-OFDM
Mode uses frequency spectrum resource, occupies one section of continuous subcarrier, i.e. frequency spectrum blocks respectively.It is not handed between the frequency spectrum blocks of different user
It is folded, and there are protection intervals between user's frequency spectrum.The user that frequency spectrum resource is used is known as any active ues by the present invention, into
The user of row frequency spectrum perception is known as cognitive user, and unappropriated frequency range is known as frequency spectrum cavity-pocket.
Referring to Figure 1, for the application scenarios of LTE230MHz electric power wireless private network, NC-OFDM communication system frequency spectrum perception
Process includes any active ues Detection of Existence and spectrum occupancy detection.
Any active ues Detection of Existence includes:
Wireless signal is received, and frequency spectrum Detection of Existence is carried out to the wireless signal, when detecting occupied frequency spectrum
When, export electric signal to be processed.
Wherein, the electric signal is ofdm signal.OFDM, i.e. orthogonal frequency division multiplexing are the key technologies of LTE230 system,
OFDM can effectively improve spectrum efficiency and power system capacity, while resist multi-path jamming, in digital audio broadcasting
(DAB), success is commercial in the systems such as digital video broadcasting (DVB), WLAN (IEEE802.11a/g).In next-generation nothing
In line communication system, OFDM and its deriving technology still can play the part of important role；LTE230 system uses orthogonal frequency division multiplexing
(OFDM), the technologies such as carrier wave polymerization, AF panel, adaptive coding and modulating realize the customized development to power business, have frequency
The comprehensive advantages such as spectrum efficiency is high, data throughout is big, support multimedia service and system stability are good.
It is understood that OFDM is very sensitive to carrier wave frequency deviation (CFO, Carrier Frequency Offset), very
Small frequency deviation will cause the interference (ICI) of interchannel.Therefore, LTE230 equipment need to perceive before accessing the system periphery without
Thread environment is uploaded since 230MHz system is by spectrum aggregating, and using discontinuous OFDM (NC-OFDM) technology in discrete frequency range
Transmission of data, therefore include two stages, the i.e. search of ofdm signal Detection of Existence and frequency spectrum cavity-pocket to the perception of wireless environment
With judgement.
And the spectrum occupancy is detected, for there are the inspections of the idle frequency spectrum boundary under the conditions of ofdm signal
The technical solution of survey is as follows:
Fig. 2 is referred to, a kind of LTE230MHz electric power provided it illustrates an illustrative embodiment of the invention is wirelessly special
The frequency spectrum cavity-pocket cognitive method of net, comprising:
S101, electric signal to be processed is received, and calculates the covariance matrix of the electric signal；
S102, frequency deviation benefit is carried out using the covariance matrix carrier frequency bias and according to the carrier frequency bias
It repays；
S103, the power spectrum boundary for extracting the compensated electric signal of frequency deviation；
S104, go out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition.
In the present embodiment, using general OFDM transmission model, k-th of OFDM modulator block can be write as:
B (k)=FNa(k) (1)
WhereinFor N × N-dimensional IDFT matrix, N is IDFT points, a
(k) information sequence to be sent is tieed up for N × 1.
Preferably, CP processing is removed to the electric signal, the time-domain signal after removing CP can indicate are as follows:
Where it is assumed that CP length is NCP(NCP+1≥Lh,LhFor the length of channel impulse response), the length of OFDM symbol is
N+NCP,To recycle channel matrix, C (ε)=diag { ej2πnε/N, n=0 ..., N-1 } and it is N × N-dimensional diagonal matrix,ε is normalization carrier wave frequency deviation, and w (k) indicates that mean value is 0, and variance isAdditive white Gaussian noise.
It is understood that if the estimated carrier wave frequency deviation in receiving end isIt can then be obtained by formula (2), work as reception
Signal obtains signal after being sequentially completed the compensation of time domain frequency deviation and DFT transform are as follows:
The covariance matrix for then receiving signal can indicate are as follows:
Analysis simultaneously is it is found that receive the power spectrum of signalIt can indicate are as follows:
Wherein, diag [*] expression takes diagonal element operation.
Consider that perception frequency range is [f0,f1], total bandwidth BMHz, existing any active ues total number is U.Frequency spectrum cavity-pocket
Detection is needed wait perceive the boundary set omega={ (S for finding U any active ues frequency spectrum blocks in frequency range1,E1),…,(Su,
Eu),…,(SU,EU), meet condition f0≤Su<Eu<Su+1<Eu+1≤f1, wherein Su、EuIt respectively indicates shared by u-th of any active ues
According to the starting frequency point and end frequency point of frequency range.Enable Δ={ (f0,S1),…,(Eu,Su+1),…,(EU,f1) indicate frequency spectrum cavity-pocket collection
It closes, includes in total P element, then the mean power at frequency spectrum cavity-pocket can indicate are as follows:
It is understood that can be with abbreviation by formula (5) are as follows:
H in formula (7)lFor the channel frequency response on first of subcarrier.
Refer to Fig. 3, simulated conditions: Gaussian channel, SNR=10dB, N=64, QPSK modulation, convolution (7) can obtain, when
There are when carrier wave frequency deviation, since carrier wave frequency deviation destroys the orthogonality between subcarrier, the power spectrum for receiving signal is attenuated Il-k
(ε)Hl, become larger so that power spectrum signal P (k) rises and falls in frequency band, attenuation outside a channel is slack-off, if frequency deviation is bigger, the phenomenon is brighter
It is aobvious.
The frequency spectrum cavity-pocket cognitive method of a kind of LTE230MHz electric power wireless private network provided in an embodiment of the present invention, based on association
Any active ues ofdm signal of variance matrix detects, and realizes that there are carrier wave frequency deviation conditions by estimating and compensating carrier wave frequency deviation
Under frequency spectrum cavity-pocket detection.Technical solution of the present invention is sought and is mended according to the diagonalization criterion for receiving signal covariance matrix
Carrier wave frequency deviation is repaid, the interference as caused by carrier wave frequency deviation can be efficiently identified out, and interference is reduced by compensation carrier wave frequency deviation, very
It is interfered to eliminating, is conducive to improve the accuracy rate for perceiving unauthorized frequency point；The power of the compensated electric signal of frequency deviation is extracted simultaneously
Boundary is composed, goes out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition to complete frequency spectrum cavity-pocket perception, compared with the prior art,
Technical solution of the present invention does not need prior information, and can improve detection probability and boundary normalized mean squared error, so that
User can perceive the frequency spectrum cavity-pocket of 230MHz and apply unauthorized frequency point resource, be conducive to the use effect for improving 230MHz frequency range
Rate, so that being conducive to China intelligently matches electricity consumption development.
It is preferably, described to utilize the covariance matrix carrier frequency bias, specifically:
Carrier frequency bias is estimated according to the minimum energy value of the off diagonal element of the covariance matrix.
In the present embodiment, according to formula (4), abbreviation formula (4) is obtained:
Wherein, INFor N rank unit matrix.Assuming that matrixAt least one non-zero off-diagonal element, then can by formula (9)
To find out, when carrier wave frequency deviation is estimated completely, the covariance matrix of signal is receivedFor diagonal matrix, remained when existing
It is non-diagonal battle array when frequency deviation.Therefore, when there are carrier wave frequency deviation, can be estimated by minimizing the energy of off diagonal element
Carrier wave frequency deviation is counted, the accuracy rate for improving estimation carrier wave frequency deviation is conducive to.
Preferably, the minimum energy value of the off diagonal element according to the covariance matrix estimates carrier wave frequency deviation
Value, specific steps include:
Cost function is constructed according to the covariance matrix；
Wherein, the cost function are as follows:
In formula (10), ⊙ indicates Hadamard product, IINFor N rank all 1's matrix.Therefore it can proveWith below
Form:
Calculate each extreme point of the cost function；
Wherein,?There are two extreme points for tool in range, indicate are as follows:
By comparing the cost function value of each extreme point, carrier frequency bias is obtained.
In the present embodiment, by comparingEach extreme point viSize solveMinimum value, choose 0,1/
2,2/3 3 points, then extreme point can be calculate by the following formula:
Further, offset estimation valueIt can be with abbreviation are as follows:
Carrier wave frequency deviation is solved by formula (15), after then carrying out frequency deviation compensation and DFT, power spectrum signal is obtained by formula (5)
Density P (k).
Wherein, P (k) can solve the intermediate result Q (v of frequency deviation by saving in actual conditions0)、Q(v1) diagonal line element
Element obtains.And the compensation of carrier wave frequency deviation is calculatingWhen completed, it is only necessary to according to what is be finally calculated
Choose the intermediate result savedBe conducive to further increase the accuracy rate of estimation carrier wave frequency deviation while reducing calculation amount.
Preferably, the power spectrum boundary for extracting the compensated electric signal of frequency deviation, specific steps include:
Calculate the power spectral density of the electric signal；
By carrying out wavelet transformation to the power spectral density, the singular point of wavelet coefficient cumulative function is obtained；
The singular point is analyzed to identify the band edge of each occupied frequency range.
It is understood that extracting power spectrum using energy measuring method or Wavelet Transform when there are carrier wave frequency deviation
Boundary.But it rises and falls since carrier wave frequency deviation is be easy to cause in power spectrum band, directly detects boundary and be easy to produce false boundary, to lead
Cause detects false cavity；Meanwhile also to will cause power spectrum attenuation outside a channel slack-off for carrier wave frequency deviation, is easy when directly extracting so that inspection
The frequency spectrum cavity-pocket boundary position measured deviates actual position, so that the normalization mean square deviation (NMSE) of spectral boundaries detection becomes larger,
Therefore, the present embodiment preferably uses Wavelet Transform to extract power spectrum boundary.
Preferably, the analysis singular point to be to identify the band edge of each occupied frequency range, specifically:
Utilize the cumulative function of power spectral density building three-level scale wavelet transform；
According to the aggregation function, threshold value is chosen with the starting frequency point of the occupied frequency range of determination and terminates frequency point.
In the present embodiment, by carrying out multi-scale wavelet transformation, analysis to the compensated power spectrum density of frequency deviation
The singular point of multi-scale wavelet coefficient cumulative function identifies band edge that each any active ues occupy, to complete frequency spectrum cavity-pocket
Detection.
It is understood that setting u (f) as wavelet Smoothing function, θ (f)=d [u (f)]/df is wavelet mother function, and θ (k) is
Wavelet function of the θ (f) on its support Interval after discretization, enables θs(k)=θ (k/s)/s, scale factor s=2m, m=1,2 ...
M, M are the series of Wavelet transformation, then continuous wavelet transform (the Continuous Wavelet of power spectral density P (k)
Transform, CWT) Ws(f) and its first derivative can respectively indicate are as follows:
Ws(k)=P (k) * θs(k) (16)
Ws' (k)=diff [P (k) * θs(k)] (17)
In formula (17), diff [] indicates calculus of differences, since u (f) is usually low-pass smoothing function, according to wavelet transformation
Property can obtain, the catastrophe point of P (k) corresponds to Ws' (k) modulus maximum point.
In the present embodiment, select the Gaussian function with good noise reduction performance as wavelet Smoothing function, using three-level
The accumulation of scale wavelet transform detects signal edge, and the aggregation function is as follows:
Wherein, the maximum point of three-level scale wavelet transform cumulative function corresponds to any active ues beginning boundary, minimum
Point corresponds to any active ues end boundary.
It is understood that another key point of Wavelet Denoising Method is the selection of thresholding.It can be proposed using Donoho
VisuShrink method, but this method excessively strangles phenomenon there are serious when wavelet conversion coefficient length L is larger.
In the present embodiment, since wavelet transformation does not change the statistical property of white Gaussian noise, according in Gaussian Profile
3 σ principles, the threshold value that the present invention chooses are as follows:
Th=3median (| D (k) |)/0.675 (19)
Then the starting frequency point of any active ues and end frequency point are the extreme point for meeting threshold condition, can be indicated are as follows:
It is understood that the starting frequency point and end frequency point of any active ues are alternately present when there is no interference；When dry
In the presence of disturbing, interference may cause D (k) and generate additional local singular point.It therefore in practice can will be in formula (20) and (21)
Seek the multiple S continuously occurrediIn maximum value or EiMinimum value respectively as practical any active ues starting frequency point and knot
Beam frequency point.
It is understood that wavelet transformation has good noise reduction performance, it is widely used to the edge of signal and image
In detection.It can use single scale wavelet transformation and extract spectral boundaries point, and in practice due to wireless channel and carrier wave frequency deviation
Deng influence, single-stage wavelet scale is disturbed influence, and performance is poor.Therefore, it is tired to be preferably by multilevel wavelet coefficient for the present embodiment
Product is used as edge detection cost function, extracts boundary, and anti-interference ability is stronger.
Preferably, the covariance matrix for calculating the electric signal, specifically:
Fourier transformation and diagonalization of matrix processing are carried out to the electric signal, obtain covariance matrix.
Preferably, the frequency spectrum cavity-pocket cognitive method of the LTE230MHz electric power wireless private network further include: to computation complexity
It analyzed, calculated.
In the present embodiment, the total length for considering frequency spectrum cavity-pocket perception is M OFDM symbol.Since multiplying is algorithm
Main computing cost, therefore here only consider algorithm required for execute real multiplications operation number.It will
Diagonalization enablesThen formula (9) can be rewritten asIt can be seen that of the invention
The calculation amount of algorithm is mainly by seeking receiving the covariance matrix of signal discrete Fourier transformation output, Nonlinear Transformation in Frequency Offset Estimation and benefit
It repays and multi-scale wavelet transformation three parts forms.
Wherein, the calculating of matrix A is made of calculating two of Fourier transformation and covariance matrix.Fourier transformation can be with
It is realized, is needed using Fast Fourier Transform (FFT)Secondary real multiplications, covariance matrix operation need 4MN2Secondary real number multiplies
Method.It needs to calculate altogether five times in Nonlinear Transformation in Frequency Offset Estimation and compensationIt calculates every timeIt needs to calculateWith it is primary
Hadamard product (pay attention to Hadamard product do not need multiplying) here and primaryOperation.Obtaining square
After battle array A,Calculating need to be implemented complex matrix multiplication twice, multiplying number is 8N2(pay attention toFor
Diagonal matrix).In addition obtained N rank matrix is carried outOperation needs 2N2Secondary real multiplications.Therefore offset estimation and compensation section
Dividing the real multipliers total number needed is 5 (8N2+2N2)=50N2。
And the three scale wavelet transforms accumulation that the present invention uses is sought in the algorithm of singular point, single-stage continuous wavelet becomes
It changes and needs C (N+C-1) secondary real multiplications, the coefficient of wavelet decomposition for obtaining L length (meets L=N+C-1, C θs(k) length
Degree).After being punctured into N point to wavelet coefficient, the accumulation for seeking three-level scale wavelet transform needs 2N real multiplications operation, therefore small
Wave conversion subtotalled needs 3C (N+C-1)+2N real multipliers.
In conclusion real multipliers total number required for the present invention isWhereinSignal discrete is received to calculate
The expense of the covariance matrix of Fourier transformation output.For the model of Fig. 1, defines spectral boundaries calculating and account for entire frequency spectrum cavity-pocket
The operand ratio of detection:
Usually [3C (N+C-1)+2N] < < N2.It can be seen that inventive algorithm computational complexity is main when N is determined
It is determined by perception length M.The ofdm system for considering Fourier transformation length N=256, when perceiving length M=100, η ≈
11%；As M=400, η ≈ 3%.
Fig. 4 is referred to, a kind of LTE230MHz electric power provided it illustrates an illustrative embodiment of the invention is wirelessly special
The frequency spectrum cavity-pocket sensing device of net, comprising:
Matrix computing module 201 for receiving electric signal to be processed, and calculates the covariance matrix of the electric signal；
Frequency offset processing module 202, for using the covariance matrix carrier frequency bias and according to the carrier frequency
Bias carries out frequency deviation compensation；
Boundary Extraction module 203, for extracting the power spectrum boundary of the compensated electric signal of frequency deviation；
Identification module 204, for going out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition.
The embodiment of the present invention also provides a kind of frequency spectrum cavity-pocket awareness apparatus of LTE230MHz electric power wireless private network, including place
It manages device, memory and storage in the memory and is configured as the computer program executed by the processor, it is described
Processor realizes the frequency spectrum cavity-pocket perception side of LTE230MHz electric power wireless private network as described above when executing the computer program
Method.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Claims (9)
1. a kind of frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network characterized by comprising
Electric signal to be processed is received, and calculates the covariance matrix of the electric signal；
Frequency deviation compensation is carried out using the covariance matrix carrier frequency bias and according to the carrier frequency bias；
Extract the power spectrum boundary of the compensated electric signal of frequency deviation；
Go out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition.
2. the frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network as described in claim 1, which is characterized in that institute
It states using the covariance matrix carrier frequency bias, specifically:
Carrier frequency bias is estimated according to the minimum energy value of the off diagonal element of the covariance matrix.
3. the frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network as claimed in claim 2, which is characterized in that institute
It states and estimates that carrier frequency bias, specific steps include: according to the minimum energy value of the off diagonal element of the covariance matrix
Cost function is constructed according to the covariance matrix；
Calculate each extreme point of the cost function；
By comparing the cost function value of each extreme point, carrier frequency bias is obtained.
4. the frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network as described in claim 1, which is characterized in that institute
The power spectrum boundary for extracting the compensated electric signal of frequency deviation is stated, specific steps include:
Calculate the power spectral density of the electric signal；
By carrying out wavelet transformation to the power spectral density, the singular point of wavelet coefficient cumulative function is obtained；
The singular point is analyzed to identify the band edge of each occupied frequency range.
5. the frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network as claimed in claim 4, which is characterized in that institute
The band edge for analyzing the singular point to identify each occupied frequency range is stated, specifically:
Utilize the cumulative function of power spectral density building three-level scale wavelet transform；
According to the aggregation function, threshold value is chosen with the starting frequency point of the occupied frequency range of determination and terminates frequency point.
6. the frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network as described in claim 1, which is characterized in that institute
The covariance matrix for calculating the electric signal is stated, specifically:
Fourier transformation and diagonalization of matrix processing are carried out to the electric signal, obtain covariance matrix.
7. the frequency spectrum cavity-pocket cognitive method of LTE230MHz electric power wireless private network as described in claim 1, which is characterized in that also
Computation complexity required for frequency spectrum cavity-pocket is identified including calculating.
8. a kind of frequency spectrum cavity-pocket sensing device of LTE230MHz electric power wireless private network characterized by comprising
Matrix computing module for receiving electric signal to be processed, and calculates the covariance matrix of the electric signal；
Frequency offset processing module, for being carried out using the covariance matrix carrier frequency bias and according to the carrier frequency bias
Frequency deviation compensation；
Boundary Extraction module, for extracting the power spectrum boundary of the compensated electric signal of frequency deviation；
Identification module, for going out frequency spectrum cavity-pocket by analyzing the power spectrum Boundary Recognition.
9. a kind of frequency spectrum cavity-pocket awareness apparatus of LTE230MHz electric power wireless private network, which is characterized in that including processor, storage
Device and storage in the memory and are configured as the computer program executed by the processor, and the processor executes
The frequency spectrum cavity-pocket of LTE230MHz electric power wireless private network as described in any one of claim 1 to 7 is realized when the computer program
Cognitive method.
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| CN111342922A (en) * | 2020-03-12 | 2020-06-26 | 中国科学院上海微系统与信息技术研究所 | Rapid boundary identification method in broadband spectrum sensing |
| CN114268974A (en) * | 2021-12-19 | 2022-04-01 | 广东电力通信科技有限公司 | Communication quality optimization method integrating 230M and power line carrier |
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