CN107071788A - Frequency spectrum sensing method and device in a kind of cognition wireless network - Google Patents
Frequency spectrum sensing method and device in a kind of cognition wireless network Download PDFInfo
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Abstract
The invention discloses the frequency spectrum sensing method in a kind of cognition wireless network and device, including noise circumstance sample to obtain the first sampling matrix, corresponding first covariance matrix is obtained according to the first sampling matrix；The wireless signal for treating perception sample obtaining the second sampling matrix, and the second covariance matrix is obtained according to the second sampling matrix；Geometric distance between first coordinate points and the second coordinate points is calculated using statistical manifold measure, first covariance matrix and the second covariance matrix correspond to the first coordinate points and the second coordinate points of statistical manifold respectively, and statistical manifold is set up according to Gaussian Profile；Judge whether geometric distance is more than pre-determined threshold, if it is, treating there is signal in cognitive radio signal, otherwise, treat to only exist noise in cognitive radio signal；Pre-determined threshold is set according to false-alarm probability.The present invention can also be perceived when when the signal to noise ratio of the wireless signal perceived is relatively low to it in use, improve frequency spectrum perception efficiency.
Description
Technical field
The present invention relates to frequency spectrum perception technical field, the frequency spectrum sensing method in more particularly to a kind of cognition wireless network
And device.
Background technology
Increasingly increase with people to radio spectrum resources demand, and wireless communication technology fast development, wirelessly
Frequency spectrum resource growing tension.Cognitive radio is the key technology of radio communication, and frequency spectrum perception is again in cognitive radio technology
Occupy an important position.During using radio spectrum resources, the efficiency for improving frequency spectrum perception is conducive to improving to wireless
The utilization rate of frequency spectrum resource.Requirement of the existing frequency spectrum sensing method to signal to noise ratio is higher, that is, only higher in signal to noise ratio
In the case of could perceive out the presence of signal, it is impossible to it is effective from the noise with low signal-to-noise ratio to perceive whether have signal
In the presence of so as to cause the frequency spectrum perception of existing frequency spectrum sensing method less efficient.
Therefore, how the frequency spectrum sensing method and device in a kind of cognition wireless network for solving above-mentioned technical problem are provided
The problem of needing to solve as those skilled in the art.
The content of the invention
It is an object of the invention to provide the frequency spectrum sensing method in a kind of cognition wireless network and device, in use
It can also be perceived when when the signal to noise ratio of the wireless signal perceived is relatively low, and improve frequency spectrum sense to a certain extent
Know efficiency.
In order to solve the above technical problems, the invention provides the frequency spectrum sensing method in a kind of cognition wireless network, it is described
Method includes：
Noise circumstance is carried out to sample and obtain the first sampling matrix, and corresponding the is obtained according to first sampling matrix
One covariance matrix；
The wireless signal for treating perception sample obtaining the second sampling matrix, and is obtained according to second sampling matrix
Second covariance matrix；
Geometric distance between first coordinate points and the second coordinate points is calculated using statistical manifold measure；Described first
Covariance matrix and second covariance matrix correspond to first coordinate points and second coordinate of statistical manifold respectively
Point, the statistical manifold is set up according to Gaussian Profile；
Judge whether the geometric distance is more than pre-determined threshold, if it is, existing in the wireless signal to be perceived
Signal, otherwise, noise is only existed in the wireless signal to be perceived；The pre-determined threshold is set according to false-alarm probability.
Optionally, first sampling matrix is multiple, then obtains corresponding first association according to first sampling matrix
The process of variance matrix is specially：
Drawn and its each one-to-one covariance matrix according to the first sampling matrix each described；
Mean value calculation is carried out to covariance matrix each described, the first covariance matrix is obtained.
Optionally, it is described that mean value calculation is carried out to covariance matrix each described, obtain the mistake of the first covariance matrix
Cheng Wei：
Covariance matrix each described is handled using gradient descent method, the multitude of each covariance matrix is obtained
Graceful Mean Matrix, regard Riemann's Mean Matrix as first covariance matrix.
Optionally, it is described that mean value calculation is carried out to covariance matrix each described, obtain the mistake of the first covariance matrix
Cheng Wei：
Covariance matrix each described is handled using mean value method, counting for each covariance matrix is obtained
Average value matrix, and it regard the arithmetic mean value matrix as first covariance matrix.
Optionally, the frequency spectrum sensing method in cognition wireless network as described above, the statistical manifold measure
For geodesic curve distance method.
Optionally, the frequency spectrum sensing method in cognition wireless network as described above, the statistical manifold measure
For symmetrical KL separating degrees measure.
In order to solve the above technical problems, the invention provides the frequency spectrum sensing device in a kind of cognition wireless network, it is described
Device includes：
Acquisition module, for noise circumstance sample obtaining the first sampling matrix, and according to the described first sampling square
Battle array obtains corresponding first covariance matrix；The wireless signal for being additionally operable to treat perception sample obtaining the second sampling matrix,
And obtain the second covariance matrix according to second sampling matrix；
Computing module, for calculating the geometry between the first coordinate points and the second coordinate points using statistical manifold measure
Distance；First covariance matrix and second covariance matrix respectively correspond to statistical manifold first coordinate points and
Second coordinate points, the statistical manifold is set up according to Gaussian Profile；
Judge module, for judging whether the geometric distance is more than pre-determined threshold, if it is, the nothing to be perceived
There is signal in line signal, otherwise, noise is only existed in the wireless signal to be perceived.
The invention provides the frequency spectrum sensing method in a kind of cognition wireless network and device, including：Noise circumstance is entered
Row sampling obtains the first sampling matrix, and obtains corresponding first covariance matrix according to the first sampling matrix；Treat perception
Wireless signal sample obtaining the second sampling matrix, and obtains the second covariance matrix according to the second sampling matrix；Using system
Meter manifold measure calculates the geometric distance between the first coordinate points and the second coordinate points；First covariance matrix and the second association
Variance matrix corresponds to the first coordinate points and the second coordinate points of statistical manifold respectively, and statistical manifold is built according to Gaussian Profile
It is vertical；Judge whether geometric distance is more than pre-determined threshold, if it is, there is signal in wireless signal to be perceived, otherwise, wait to feel
Noise is only existed in the wireless signal known；Pre-determined threshold is set according to false-alarm probability.
The present invention handles noise circumstance progress the first covariance matrix for obtaining the noise circumstance, treats the wireless of perception
Signal progress, which is handled, obtains the second covariance matrix for treating cognitive radio signal；Because each covariance matrix corresponds to statistic fluid
A coordinate points in shape, therefore according to the statistical manifold method in information geometry method, the first covariance matrix and the second association side
Poor matrix corresponds to the first coordinate points and the second coordinate points on statistical manifold respectively, recycles statistical manifold measure to calculate this
Geometric distance between two coordinate points, then proves to deposit in wireless signal to be perceived when the geometric distance is more than pre-determined threshold
In signal, otherwise only noise.The present invention also may be used during use when when the signal to noise ratio of the wireless signal perceived is relatively low
To be perceived to it, and frequency spectrum perception efficiency is improved to a certain extent.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below will be to institute in prior art and embodiment
The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to these accompanying drawings
Obtain other accompanying drawings.
The schematic flow sheet of frequency spectrum sensing method in a kind of cognition wireless network that Fig. 1 provides for the present invention；
A kind of emulation schematic diagram that Fig. 2 provides for the present invention；
The structural representation of frequency spectrum sensing device in a kind of cognition wireless network that Fig. 3 provides for the present invention.
Embodiment
The invention provides the frequency spectrum sensing method in a kind of cognition wireless network and device, in use when waiting to feel
The signal to noise ratio for the wireless signal known can also be perceived when relatively low to it, and improve frequency spectrum perception effect to a certain extent
Rate.
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
It refer to the flow signal of the frequency spectrum sensing method in Fig. 1, a kind of cognition wireless network that Fig. 1 provides for the present invention
Figure.This method includes：
Step 10：Noise circumstance sample to obtain the first sampling matrix, and obtained accordingly according to the first sampling matrix
The first covariance matrix；
Step 20：The wireless signal for treating perception sample obtaining the second sampling matrix, and according to the second sampling matrix
Obtain the second covariance matrix；
Step 30：Geometric distance between first coordinate points and the second coordinate points is calculated using statistical manifold measure；
First covariance matrix and the second covariance matrix correspond to the first coordinate points and the second coordinate points of statistical manifold, statistic fluid respectively
Shape is set up according to Gaussian Profile；
Step 40：Judge whether geometric distance is more than pre-determined threshold, if it is, there is letter in wireless signal to be perceived
Number, otherwise, noise is only existed in wireless signal to be perceived；Pre-determined threshold is set according to false-alarm probability.
It should be noted that environment of the noise circumstance for only Noise.Specifically, estimated noise circumstance (i.e. pair
Noise circumstance near sensing node is estimated), it is assumed that there are M time users in cognition wireless network, and each time is used
The node sample signal at family constitutes a vector matrix, such as vector matrix X=[x1,x2,x3,…,xM] represent, wherein xi
=[xi(1),xi(2),xi(3),…,xi(N)]TRepresent the sampled signal values of i-th user, that is, each user's collection
N number of signal sampling value, all signal sampling values constitute the first sampling matrix.First sampling matrix can be expressed as a N
× M matrix.First sampling matrix is carried out to ask covariance to calculate the first covariance corresponding with first sampling matrix
Matrix R1。
Same method, the wireless signal for treating perception sample obtaining the second sampling matrix, to the second sampling square
Battle array carries out asking covariance calculating to obtain second covariance matrix R corresponding with second sampling matrix2。
Using information geometry method to obtained the first covariance matrix R1With the second covariance matrix R2Handled, by
A statistical manifold with certain geometry is both corresponded in the probability-distribution function race of different type or different parameters,
And each point on statistical manifold has corresponded to a probability-distribution function.It therefore, it can statistic mixed-state problem being converted into
Geometrical issues on statistical manifold.It can be corresponded to for different distributed datas and geometry point is carried out on corresponding statistical manifold
Analysis, and preferable Detection results can be obtained.
Specifically, by covariance matrix R ∈ Cn×nParametrization probability-distribution function race S=p (x | R) | R ∈ Cn×n, its
Middle Cn×nFor the opener in n × n-dimensional vector space, p (x | R) is the probability density function of Gaussian Profile.Therefore, according to the Information Geometry
Theory, S may be constructed a manifold that can be micro-, referred to as statistical manifold under certain topological structure.Due to statistical manifold S
Parameter R be covariance matrix, therefore S can turn into matrix manifold again.One specific covariance matrix corresponds to statistical manifold S
A upper corresponding coordinate points, so the first covariance matrix for being obtained in the noise circumstance of only Noise and by be perceived
It (is respectively the first coordinate points that the second covariance matrix that wireless signal is obtained, which corresponds respectively to two points different on statistical manifold,
With the second coordinate points), when when there is signal in the wireless signal perceived, illustrate the signal perceived out than in noise circumstance feel
The signal intensity known is eager to excel, so the second covariance matrix corresponding coordinate points on statistical manifold exist with the first covariance matrix
There to be certain geometric distance on statistical manifold S between corresponding coordinate points, and geometric distance D should be more than pre-determined threshold
T (alternatively referred to as decision threshold).When wait in the wireless signal perceived be not present signal (namely only Noise) when, the first coordinate
Geometric distance D between point and the second coordinate points will be less than pre-determined threshold T.So, can be by comparing the first seat in the present invention
The size between geometric distance D and pre-determined threshold T between punctuate and the second coordinate points is judged in wireless signal to be perceived
Whether with the presence of signal.
It should also be noted that, according to constant false alarm rate (Constant False Alarm Rate, CFAR) criterion, being
Cognitive user is set to reach certain level to the utilization rate of idle frequency spectrum, it would be desirable to limit the false alarm probability of CR systems one
Individual fixed value, this fixed value is called false-alarm probability Pf, pre-determined threshold needs are according to false-alarm probability PfIt is configured.
Drawn specifically, pre-determined threshold can be precalculated using following methods, process is：
(1) emulation produces noise, and the noise is carried out to sample and obtain+1 covariance matrix of N ＇, and by one of those
It is used as matrix R ＇ to be detected；
(2) sampled gradients descent method calculates Riemann's average R of N ＇ covariance matrixesd, using statistical manifold measure
Calculate matrix R ＇ to be detected and Riemann's average RdApart from D (R between corresponding two coordinate points on statistical manifold Sd, R ＇)；
(3) repeat step (1) and (2) L times, if the distance value D (R obtained for the first timed, R ＇) and it is Ld1, obtain for the 2nd time away from
From value D (Rd, R ＇) and it is Ld2..., the distance value D (R that ith is obtainedd, R ＇) and it is Ldi..., the distance value D (R obtained for the L timesd,
R ＇) it is LdL；And by L LdiCarry out the L of descending arrangement, i.e., firstdiValue it is maximum, l-th LdiValue it is minimum；It is general according to false-alarm
Rate PfPre-determined threshold is obtained for L*PfThe corresponding distance value in individual position.Wherein L is the bigger the better, for example, L=50000, false-alarm is general
Rate Pf=0.01, then 50000*PfIndividual position namely 50000*Pf, i.e., the corresponding distance value in position of the 500th, this away from
It is pre-determined threshold from value.
Specifically, when foundation is whne distance value maximum during the distance value that cognitive radio signal is obtained is more than L distance value,
Treat that false-alarm probability is corresponding serious forgiveness necessarily with the presence of signal in cognitive radio signal, for example, when L=50000, false-alarm are general
Rate PfWhen=0.01, i.e., during the corresponding distance value in more than the 500th position, i.e., with the presence of signal.
It should be noted that can specifically use the symmetrical KL separating degrees measure or geodesic curve in statistical manifold measure
Furthest Neighbor calculates matrix R ＇ to be detected and Riemann's average RdApart from D (R between corresponding two coordinate points on statistical manifold Sd,
R ＇), and it is pointed out that the statistical manifold measure that is used when the wireless signal for treating perception is perceived should be with
Calculate the statistical manifold measure used during pre-determined threshold consistent.
Certainly, pre-determined threshold is not limited only to calculate by above-mentioned computational methods, can also pass through other calculating sides
Method is calculated, and the present invention does not do special restriction to this, can realize the purpose of the present invention.
Certainly, false-alarm probability PfConcrete numerical value can be according to actual conditions depending on, the present invention do not do special limit to this
It is fixed, the purpose of the present invention can be realized.
Optionally, the first sampling matrix is multiple, then obtains corresponding first covariance matrix according to the first sampling matrix
Process be specially：
Drawn and its each one-to-one covariance matrix according to each first sampling matrix；
Mean value calculation is carried out to each covariance matrix, the first covariance matrix is obtained.
Specifically, multiple repairing weld can be carried out to noise circumstance in actual applications, to obtain multiple first sampling matrixs,
And covariance calculating is carried out to each first sampling matrix, multiple covariance matrixes can be obtained.To multiple covariance matrixes
Mean value calculation is carried out, to obtain one to representative covariance matrix, resulting covariance matrix is first
Covariance matrix (covariance matrix i.e. for computational geometry distance).Multiple repairing weld is carried out to noise circumstance, multiple associations are obtained
Variance matrix, and the first covariance matrix is obtained according to this multiple covariance matrix, the accuracy of perception can be improved.
Optionally, mean value calculation is carried out to each covariance matrix, the process for obtaining the first covariance matrix is：
Each covariance matrix is handled using gradient descent method, Riemann's average square of each covariance matrix is obtained
Battle array, regard Riemann's Mean Matrix as the first covariance matrix.
It should be noted that can be handled using gradient descent method multiple covariance matrixes obtained above, obtain
It is used for as the first covariance matrix to Riemann's Mean Matrix corresponding with the noise circumstance, and using Riemann's Mean Matrix
Pass through the covariance matrix of statistical manifold computational geometry distance.
It is of course also possible to use other methods are handled multiple covariance matrixes, and obtain the first covariance matrix.Tool
Which kind of method body uses, and the present invention does not do special restriction to this, can realize the purpose of the present invention.
Optionally, mean value calculation is carried out to each covariance matrix, the process for obtaining the first covariance matrix is：
Each covariance matrix is handled using mean value method, the arithmetic average square of each covariance matrix is obtained
Battle array, and it regard arithmetic mean value matrix as the first covariance matrix.
Certainly, except Riemann's average of each covariance matrix can be calculated by using gradient descent method in the present invention
Outside matrix, the arithmetic mean value matrix of each covariance matrix can also be calculated by average algorithm, and this is counted
Average value matrix is used as the first covariance matrix in the application.
Optionally, the frequency spectrum sensing method in cognition wireless network described above, statistical manifold measure is geodesic curve
Distance method.
Specifically, for the geometric distance between two coordinate points on statistical manifold S, geodesic distance can be used
(Geosedic Distance, GD) method carries out calculating two coordinates to the coordinate of the first coordinate points and the second coordinate points
Geometric distance D between point.It is of course also possible to use other statistical manifold measures are calculated between two coordinate points
Geometric distance D, does not specifically do special restriction to this using which kind of statistical manifold measure present invention, can realize the present invention's
Purpose.
Optionally, the frequency spectrum sensing method in cognition wireless network described above, statistical manifold measure is symmetrical KL
Separating degree (Symmetrized Kullback-Leibler Divergence, SKLD) measure.
It should be noted that being sat in the present invention except the first coordinate points and second can be calculated using geodesic distance method
Geometric distance D between punctuate, can also calculate the first coordinate points and the second coordinate points using symmetrical KL separating degrees measure
Between geometric distance D.Which kind of statistical manifold measure is specifically used, the present invention does not do special restriction to this, can realized
The purpose of the present invention.
It should also be noted that, the frequency spectrum sensing method in cognition wireless network provided in the present invention is in the mistake used
Without carrying out frequency spectrum perception by priori spectrum signal in journey, making the versatility of this method strengthens.
In addition, Fig. 2 is refer to, a kind of emulation schematic diagram that Fig. 2 provides for the present invention.Enter in the wireless signal for treating perception
During row emulation, it is respectively adopted and the first coordinate points and the is calculated using geodesic distance method and symmetrical KL separating degrees measure
Geometric distance between two coordinate points, false-alarm probability now is taken as 0.01, and the quantity of secondary user is 5, and sampling number is 500.
The relation between detection probability and signal to noise ratio is given in Fig. 2, when signal to noise ratio relatively low (such as -15), so that it may perceive out signal
(and frequency spectrum sensing method of the prior art can not perceive out signal when signal to noise ratio is relatively low), and with the improvement of signal to noise ratio
Detection performance also gets a promotion rapidly.
The invention provides the frequency spectrum sensing method in a kind of cognition wireless network, including：Noise circumstance is sampled
The first sampling matrix is obtained, and corresponding first covariance matrix is obtained according to the first sampling matrix；Treat the wireless communication of perception
Number sample and obtain the second sampling matrix, and the second covariance matrix is obtained according to the second sampling matrix；Using statistical manifold
Measure calculates the geometric distance between the first coordinate points and the second coordinate points；First covariance matrix and the second covariance square
Battle array corresponds to the first coordinate points and the second coordinate points of statistical manifold respectively, and statistical manifold is set up according to Gaussian Profile；Judge
Whether geometric distance is more than pre-determined threshold, if it is, there is signal in wireless signal to be perceived, otherwise, nothing to be perceived
Noise is only existed in line signal；Pre-determined threshold is set according to false-alarm probability.
The present invention handles noise circumstance progress the first covariance matrix for obtaining the noise circumstance, treats the wireless of perception
Signal progress, which is handled, obtains the second covariance matrix for treating cognitive radio signal；Because each covariance matrix corresponds to statistic fluid
A coordinate points in shape, therefore according to the statistical manifold method in information geometry method, the first covariance matrix and the second association side
Poor matrix corresponds to the first coordinate points and the second coordinate points on statistical manifold respectively, recycles statistical manifold measure to calculate this
Geometric distance between two coordinate points, then proves to deposit in wireless signal to be perceived when the geometric distance is more than pre-determined threshold
In signal, otherwise only noise.The present invention also may be used during use when when the signal to noise ratio of the wireless signal perceived is relatively low
To be perceived to it, and frequency spectrum perception efficiency is improved to a certain extent.
It refer to the structural representation of the frequency spectrum sensing device in Fig. 3, a kind of cognition wireless network that Fig. 3 provides for the present invention
Figure.On the basis of above-described embodiment：
The device includes：
Acquisition module 1, for noise circumstance sample obtaining the first sampling matrix, and is obtained according to the first sampling matrix
To corresponding first covariance matrix；The wireless signal for being additionally operable to treat perception sample obtaining the second sampling matrix, and according to
The second covariance matrix is obtained according to the second sampling matrix；
Computing module 2, it is several between the first coordinate points and the second coordinate points for being calculated using statistical manifold measure
What distance；First covariance matrix and the second covariance matrix correspond to the first coordinate points and the second coordinate of statistical manifold respectively
Point, statistical manifold is set up according to Gaussian Profile；
Judge module 3, for judging whether geometric distance is more than pre-determined threshold, if it is, wireless signal to be perceived
In there is signal, otherwise, noise is only existed in wireless signal to be perceived.
The invention provides the frequency spectrum sensing device in a kind of cognition wireless network, when to be perceived during use
The signal to noise ratio of wireless signal can also be perceived when relatively low to it, and improve frequency spectrum perception efficiency to a certain extent.
In addition, for frequency spectrum perception involved in the frequency spectrum sensing device in the cognition wireless network of the invention carried
The specific introduction of method refer to above method embodiment, and the application will not be repeated here.
It should also be noted that, in this manual, such as first and second or the like relational terms be used merely to by
One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation
Between there is any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant meaning
Covering including for nonexcludability, so that process, method, article or equipment including a series of key elements not only include that
A little key elements, but also other key elements including being not expressly set out, or also include be this process, method, article or
The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged
Except also there is other identical element in the process including the key element, method, article or equipment.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (7)
1. the frequency spectrum sensing method in a kind of cognition wireless network, it is characterised in that methods described includes：
Noise circumstance sample to obtain the first sampling matrix, and corresponding first association is obtained according to first sampling matrix
Variance matrix；
The wireless signal for treating perception sample obtaining the second sampling matrix, and obtains second according to second sampling matrix
Covariance matrix；
Geometric distance between first coordinate points and the second coordinate points is calculated using statistical manifold measure；The first association side
Poor matrix and second covariance matrix correspond to first coordinate points and second coordinate points of statistical manifold, institute respectively
Statistical manifold is stated to be set up according to Gaussian Profile；
Judge whether the geometric distance is more than pre-determined threshold, if it is, there is signal in the wireless signal to be perceived,
Otherwise, noise is only existed in the wireless signal to be perceived；The pre-determined threshold is set according to false-alarm probability.
2. the frequency spectrum sensing method in cognition wireless network according to claim 1, it is characterised in that first sampling
Matrix is multiple, then the process for obtaining corresponding first covariance matrix according to first sampling matrix is specially：
Drawn and its each one-to-one covariance matrix according to the first sampling matrix each described；
Mean value calculation is carried out to covariance matrix each described, the first covariance matrix is obtained.
3. the frequency spectrum sensing method in cognition wireless network according to claim 2, it is characterised in that described to each institute
State covariance matrix and carry out mean value calculation, the process for obtaining the first covariance matrix is：
Covariance matrix each described is handled using gradient descent method, the Riemann for obtaining each covariance matrix is equal
Value matrix, regard Riemann's Mean Matrix as first covariance matrix.
4. the frequency spectrum sensing method in cognition wireless network according to claim 2, it is characterised in that described to each institute
State covariance matrix and carry out mean value calculation, the process for obtaining the first covariance matrix is：
Covariance matrix each described is handled using mean value method, the arithmetic mean of each covariance matrix is obtained
Value matrix, and it regard the arithmetic mean value matrix as first covariance matrix.
5. the frequency spectrum sensing method in cognition wireless network according to claim 1-4 any one, it is characterised in that institute
Statistical manifold measure is stated for geodesic curve distance method.
6. the frequency spectrum sensing method in cognition wireless network according to claim 1-4 any one, it is characterised in that institute
Statistical manifold measure is stated for symmetrical KL separating degrees measure.
7. the frequency spectrum sensing device in a kind of cognition wireless network, it is characterised in that described device includes：
Acquisition module, for noise circumstance sample obtaining the first sampling matrix, and is obtained according to first sampling matrix
To corresponding first covariance matrix；The wireless signal for being additionally operable to treat perception sample obtaining the second sampling matrix, and according to
The second covariance matrix is obtained according to second sampling matrix；
Computing module, for using statistical manifold measure calculate geometry between the first coordinate points and the second coordinate points away from
From；First covariance matrix and second covariance matrix correspond to first coordinate points and the institute of statistical manifold respectively
The second coordinate points are stated, the statistical manifold is set up according to Gaussian Profile；
Judge module, for judging whether the geometric distance is more than pre-determined threshold, if it is, the wireless communication to be perceived
There is signal in number, otherwise, noise is only existed in the wireless signal to be perceived；The pre-determined threshold enters according to false-alarm probability
Row setting.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107979431A (en) * | 2017-11-28 | 2018-05-01 | 广东工业大学 | The method, apparatus and equipment of frequency spectrum perception based on Riemann's intermediate value |
| CN108880717A (en) * | 2018-08-17 | 2018-11-23 | 广东工业大学 | A kind of frequency spectrum sensing method of the α divergence based on information geometry |
| CN109525339A (en) * | 2018-08-21 | 2019-03-26 | 广东工业大学 | Frequency spectrum sensing method, device, equipment and the storage medium of cognitive radio |
| CN110288025A (en) * | 2019-06-25 | 2019-09-27 | 广东工业大学 | Frequency spectrum sensing method, device and equipment based on information geometry and spectral clustering |
| CN114254265A (en) * | 2021-12-20 | 2022-03-29 | 军事科学院系统工程研究院网络信息研究所 | Satellite communication interference geometric analysis method based on statistical manifold distance |
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2017
- 2017-04-21 CN CN201710265365.0A patent/CN107071788B/en active Active
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107979431A (en) * | 2017-11-28 | 2018-05-01 | 广东工业大学 | The method, apparatus and equipment of frequency spectrum perception based on Riemann's intermediate value |
| CN107979431B (en) * | 2017-11-28 | 2021-05-28 | 广东工业大学 | Method, device and equipment for spectrum sensing based on Riemann median |
| CN108880717A (en) * | 2018-08-17 | 2018-11-23 | 广东工业大学 | A kind of frequency spectrum sensing method of the α divergence based on information geometry |
| CN109525339A (en) * | 2018-08-21 | 2019-03-26 | 广东工业大学 | Frequency spectrum sensing method, device, equipment and the storage medium of cognitive radio |
| CN109525339B (en) * | 2018-08-21 | 2021-04-16 | 广东工业大学 | Spectrum sensing method, device, equipment and storage medium of cognitive radio |
| CN110288025A (en) * | 2019-06-25 | 2019-09-27 | 广东工业大学 | Frequency spectrum sensing method, device and equipment based on information geometry and spectral clustering |
| CN114254265A (en) * | 2021-12-20 | 2022-03-29 | 军事科学院系统工程研究院网络信息研究所 | Satellite communication interference geometric analysis method based on statistical manifold distance |
| CN114254265B (en) * | 2021-12-20 | 2022-06-07 | 军事科学院系统工程研究院网络信息研究所 | Satellite communication interference geometric analysis method based on statistical manifold distance |
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