CN104468428B - Safety of physical layer method based on low complex degree difference channel estimation - Google Patents
Safety of physical layer method based on low complex degree difference channel estimation Download PDFInfo
- Publication number
- CN104468428B CN104468428B CN201410729165.2A CN201410729165A CN104468428B CN 104468428 B CN104468428 B CN 104468428B CN 201410729165 A CN201410729165 A CN 201410729165A CN 104468428 B CN104468428 B CN 104468428B
- Authority
- CN
- China
- Prior art keywords
- msub
- mrow
- channel estimation
- authorized user
- channel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses the safety of physical layer method based on low complex degree difference channel estimation, this method constructs low complex degree channel estimation to distinguish the channel estimating performance of authorized user and unauthorized user, realizes the secure communication between base station and authorized user.This method is effective combination of existing difference channel estimation methods and polynomial expansion method.This method realizes the performance difference of the channel estimation at authorized user and unauthorized user end first with reversed, forward direction difference channel estimation methods.Again for there is coherence between extensive antenna channel, the inverse operation of the big dimensional matrix of method approximate representation non-diagonal of polynomial expansion is introduced, reducing computation complexity, improves the real-time of system.Optimal system performance is realized finally by energetic optimum distribution.
Description
Technical field
The present invention relates to computer communication technology field, more particularly to a kind of object based on low complex degree difference channel estimation
Manage layer safety method.
Background technology
At present, the broadband access method of mobile phone-base station is next main way with mobile communication system 5G broadband access
One of.Wireless air interface between medium is subject to attack due to natural open nature.At present, the peace of wireless mobile communications
Full property ensures that the security depends on key by upper layer security agreement, but depends on calculating safety.So
And current key generates and distributes the security that can not be accomplished under Shannon information theory meaning.How future mobile communications are ensured
The security of broadband wireless access has important research significance.
In recent years, safety of physical layer technology is fast-developing and obtains extensive concern.Research shows that the safety of information communication is asked
Topic can be realized by the different characteristic of channel extracted between base station and authorized user, unauthorized user.As authorized user and
Presence service quality (Quality of Service, QoS) difference, i.e., estimate between base station and authorized user between unauthorized user
Performance is counted better than base station and unauthorized user, base station safely can send information to authorized user, and unauthorized user can not
Therefrom intercept information.The existing difference channel estimation methods for radio MIMO system in document at present, utilize this method structure
Build safe wireless communication system.I.e. by under reverse train (authorized user to the channel between the base station) estimation of pilot signal
The channel state information (Channel State Information, CSI) of line linkIt is mutual according to the channel under tdd mode
Yi Xing obtains the channel state information of base stationAccording to what is knownMan made noise (Artificial Noise, AN) is designed,
Man made noise is placed onLeft kernel.(base station to authorized user, unauthorized user) is trained in the forward direction of pilot signal
Stage, pilot signal are superimposed man made noise as training signal.Because of the influence of man made noise, the channel obtained at authorized user is estimated
Count the estimation performance that performance is better than unauthorized user.Polynomial expansion (Polynomial Expansion, PE) is that one kind can be with
The method for effectively reducing big dimensional matrix inverse operation.Polynomial expansion is by L ranks matrix polynomial come one matrix of approximate representation
Function.L describes the levels of precision of each approximate characteristic value inverse, thus L with the increase of matrix dimension without increasing
To realize approximate optimal performance.Under normal conditions, the selection needs of L are compromised between computation complexity and system performance.It is more
Item formula expansion can be used for reducing computation complexity in extensive mimo system, optimize the multinomial of matrix by asymptotic analysis
Formula is to ensure good system performance.
Extensive MIMO is a kind of important technology in next generation mobile communication.Thus, for extensive mimo system structure
Difference channel estimation is built to realize that communication security also has great importance.When building difference channel estimation, it is necessary to calculate letter
The least mean-square error matrix of road estimation, is directed to inverse of a matrix computing, under extensive mimo system, the calculating of the computing
Complexity is high.And when the matrix involved in channel estimation is diagonal matrix, this high complexity computing can be avoided.But due to
In extensive mimo system, the situation that distance between antennas is not enough is deposited, i.e., is had between the channel of extensive MIMO
Apparent spatial coherence, the covariance matrix of channel is generally not diagonal matrix.Polynomial expansion can be reducing big dimension
Spend the complexity of inverse of a matrix computing.Thus, if polynomial expansion structure can be utilized for extensive mimo wireless communication system
The difference channel estimation of the low complex degree of system has realistic meaning.And present invention the problem of can well solving above.
The content of the invention
Present invention aims at provide a kind of safety of physical layer method based on low complex degree difference channel estimation, the party
Method solves the problems, such as the secure communication of above-mentioned extensive mimo wireless communication system.This method assumes that application scenarios are in the time-division
Under duplexing (Time Division Duplexing, TDD), sufficiently large distance cannot be provided between extensive antenna, antenna it
Between there are spatial coherence, by building difference channel estimation so that the channel estimating performance between base station and authorized user is excellent
Between base station and unauthorized user.To be non-right since there are coherences, the i.e. covariance matrix of channel matrix between antenna
Angular moment battle array, inversion operation complexity are high.Carry out the process of approximate representation matrix inversion using multinomial, it is suitable by choosing
Exponent number L reach compromise between computation complexity and system performance, be issued to realizing in relatively low computation complexity situation
The system performance of near-optimization.
The technical scheme adopted by the invention to solve the technical problem is that:It is provided by the invention a kind of poor based on low complex degree
The safety of physical layer method of different channel estimation, this method are made in authorized user using reversed, the forward direction training of pilot signal, non-awarded
The channel state information performance difference estimated at user is weighed, even the channel estimating performance at authorized user is better than unauthorized user
Place, to realize that base station safely can send information to authorized user, and unauthorized user can not therefrom intercept information.Pin
There is a situation where matrix during to calculating least mean-square error for non-diagonal matrix, utilizing inverting for polynomial expansion approximate matrix
Journey reduces computation complexity.Optimal system performance is realized finally by optimal energy distribution
Method flow:
Step 1:Authorized user sends pilot tone to base station, the channel of estimating uplink;According to the reciprocity of channel, obtain
The estimation of downlink channel;
Step 2:According to the channel estimation of downlink, man made noise is designed.Base station is simultaneously to authorized user, unauthorized use
Family sends pilot tone and the superposed signal of man made noise, and authorized user, unauthorized user obtain respective channel state information simultaneously
Estimation, and calculate corresponding least mean-square error;
Step 3:Using before polynomial expansion approximate calculation into training authorized user, channel estimation at unauthorized user
Least mean-square error;
Step 4:By the most optimal sorting that pilot signal and the energy of man made noise are trained to reverse train pilot signal, forward direction
Match somebody with somebody, realize optimal difference channel estimating performance.
The present invention is applied to the extensive mimo wireless communication system under tdd mode, exists between antenna for base station apparent
Spatial coherence.
Advantageous effect:
1st, the present invention can realize the secure communication between base station and authorized user.
2nd, the present invention utilizes the inversion process of polynomial expansion approximate representation matrix, on the premise of system performance is ensured,
Significantly reduce the computation complexity of system.
Description of the drawings
Fig. 1 is the schematic diagram of a scenario of the present invention.
Fig. 2 is flow chart of the method for the present invention.
Specific embodiment
Patent of the present invention is described in further detail below in conjunction with Figure of description.
As shown in Figure 1, present system is that there are the extensive mimo wireless communication systems of unauthorized user (eavesdropping user)
System.System includes a base station, an authorized user and a unauthorized user, exists wherein between the antenna of base station apparent
Spatial coherence, and the antenna amount of base station is much larger than authorized user, unauthorized user.Base station sends signal to authorized user,
Because there are unauthorized user, the communication between base station and authorized user may be intercepted by unauthorized user.Thus authorized user
The reverse link channel estimation based on pilot tone is carried out between base station, obtains reverse chain channel HrEstimation.According under TDD
Channel reciprocity, thus base station can obtain forward link channel HfEstimation.Base station is according to obtained channel estimation, designer
Work noise sends the training signal for including man made noise to authorized user, and authorized user, unauthorized user obtain respective channel
Hf、HuEstimation.Because of the presence of man made noise, it is ensured that reduced on the premise of authorized user is not disturbed at unauthorized user
Channel estimating performance, that is, ensure that the communication between base station and authorized user is not eavesdropped by unauthorized user.It should for the present invention
With, there are the characteristics of apparent spatial coherence, associated methods flow chart further illustrates between antenna for base station in scene.
As shown in Fig. 2, the method for the present invention mainly includes reverse link channel estimation, forward link channel is estimated, is multinomial
Four parts such as formula expansion, optimal energy distribution.Reverse link channel estimation part, is based between authorized user and base station
The reverse link channel estimation of pilot tone obtains reverse chain channel HrEstimation.According to the channel reciprocity under TDD, while base
Forward link channel H can be obtained by standingfEstimation.Forward link channel estimating part, base station according to obtained channel estimation, if
Man made noise is counted, the training signal for including man made noise is sent to authorized user, authorized user, unauthorized user are according to minimum equal
Square error (Minimum Mean Square Error, MMSE) criterion, obtains respective channel Hf、HuEstimation and it is corresponding most
Small mean square error.Because, there are the characteristics of apparent spatial coherence, being calculated most between antenna for base station in application scenarios of the present invention
During small mean square error, matrix is generally non-diagonal matrix, i.e. the inversion process of matrix has high complexity.Thus, it can
Using the inversion process of polynomial expansion approximate representation matrix, to obtain the approximate expression of least mean-square error.Finally by anti-
To training pilot energy, forward direction training pilot energy, man made noise energy optimum allocation, obtain optimal be
System performance.
Reverse train includes as follows:
Authorized user sends one group of pilot signal to base stationTo estimate the CSI of base station end, wherein pilot tone
MatrixMeetPrAnd TrThe respectively energy and length of reverse train pilot signal.Base station connects
The signal received is expressed as
Ybs=XrHr+Wbs (1)
Represent the channel matrix of uplink,For the additive white noise of receiving terminal.To formula
(1) carry out converting and can obtaining
ybs=xrhf+wbs (2)
Wherein, Channel estimation is carried out according to linear MMSE criterion, can be obtained
The estimate of channel matrix
Wherein,
Forward direction training includes as follows:
According to channel estimation valueArrangement obtainsDue to channel reciprocity, can obtainByDesign is artificial
Noise matrixElement wherein in man made noise's matrix meets independent identically distributed zero-mean, variance is
Gaussian variable.MatrixIts each column vector is located atLeft kernel, that is, meetMeet simultaneouslyBase station while pilot signal transmitted and man made noise at this time, reach
To the channel estimating performance reduced on the premise of authorized user is not disturbed at unauthorized user.Transmission signal at this time can be with table
It is shown as
WhereinMeetPfAnd TfRespectively preceding energy and length to training pilot signal
Degree.The signal received at authorized user, unauthorized user is expressed as
WhereinRepresent base station and the channel matrix of unauthorized user downlink, It is additive white noise.Due toAnd it definesThen formula (5), formula
(6) can be rewritten as
Yu=X 'bsHu+W′u (8)
Wherein, Formula (7), formula
(8) can further be transformed to
yl=x 'bshr+w′l (9)
yu=x 'bshu+w′u (10)
Wherein, hr=vec (Hr), hu=vec (Hu),
Using minimum mean-square error forecast device, estimate of the channel matrix at authorized user, unauthorized user can be obtained
Wherein, It is minimum equal
Square error is respectively
The approximate calculation of polynomial expansion includes as follows:
According to polynomial expansion, inverse of a matrix computing can be expressed as
Wherein, ρ must meet 0 < ρ <, 2/ λmax(Q) to ensure the convergence of polynomial expansion, λmax(Q) it is matrix Q maximums
Characteristic value.In order to reduce computation complexity, choose suitable P rank multinomials and carry out approximate representation inverse of a matrix computing, you can
Using formula (16), formula (11), formula (12) can be rewritten into respectively
It can further obtain
Wherein,
It makes herein
,
To MMSElAnd MMSEuIt is normalized respectively, i.e.,
Optimal energy distribution includes as follows:
The channel estimating performance at the present invention optimal authorized user place in order to obtain, while prevent unauthorized user acquisition pair
The accurate estimation of its channel, here by optimization reverse train pilot energy Pr, forward direction training pilot energy Pf, people
The energy of work noiseIt realizes.It can obtain following equation
Wherein, γ NMSEuPreset minimum value,WithThe average energy respectively set is authorized and used
Family and the highest energy of base station.The optimization problem is mainly realized, in NMSEuOn the premise of meeting preset minimum value, lead to
Energy assignment constraints are crossed, obtain NMSElMinimum value.
Claims (5)
- A kind of 1. safety of physical layer method based on low complex degree difference channel estimation, which is characterized in that the described method includes with Lower step:Step 1:Authorized user sends pilot tone to base station, the channel of estimating uplink;According to the reciprocity of channel, downlink is obtained The estimation of link channel;Step 2:According to the channel estimation of downlink, man made noise is designed, base station is sent out simultaneously to authorized user, unauthorized user Pilot tone and the superposed signal of man made noise are sent, authorized user, unauthorized user obtain estimating for respective channel state information simultaneously Meter, and calculate corresponding least mean-square error;Step 3:Using before polynomial expansion approximate calculation into training authorized user, at unauthorized user channel estimation minimum Mean square error;Step 4:By training the optimum allocation of pilot signal and the energy of man made noise to reverse train pilot signal, forward direction, Realize optimal difference channel estimating performance;The optimum allocation of the energy includes following equation:<mrow> <munder> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> <mrow> <msub> <mi>P</mi> <mi>f</mi> </msub> <mo>,</mo> <msub> <mi>P</mi> <mi>r</mi> </msub> <mo>,</mo> <msubsup> <mi>&sigma;</mi> <mi>a</mi> <mn>2</mn> </msubsup> <mo>&GreaterEqual;</mo> <mn>0</mn> </mrow> </munder> <msub> <mi>NMSE</mi> <mi>l</mi> </msub> </mrow>s.t.NMSEu≥γ,<mrow> <msub> <mi>P</mi> <mi>r</mi> </msub> <msub> <mi>T</mi> <mi>r</mi> </msub> <mo>+</mo> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mi>f</mi> </msub> <mo>+</mo> <mo>(</mo> <mrow> <msub> <mi>N</mi> <mrow> <mi>b</mi> <mi>s</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>N</mi> <mi>l</mi> </msub> </mrow> <mo>)</mo> <msubsup> <mi>&sigma;</mi> <mi>a</mi> <mn>2</mn> </msubsup> <mo>)</mo> </mrow> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>&le;</mo> <mover> <mi>P</mi> <mo>&OverBar;</mo> </mover> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>r</mi> </msub> <mo>+</mo> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow><mrow> <msub> <mi>P</mi> <mi>r</mi> </msub> <msub> <mi>T</mi> <mi>r</mi> </msub> <mo>&le;</mo> <msub> <mover> <mi>P</mi> <mo>&OverBar;</mo> </mover> <mi>r</mi> </msub> <msub> <mi>T</mi> <mi>r</mi> </msub> <mo>,</mo> </mrow><mrow> <mo>(</mo> <msub> <mi>P</mi> <mi>f</mi> </msub> <mo>+</mo> <msub> <mi>N</mi> <mrow> <mi>b</mi> <mi>s</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>N</mi> <mi>l</mi> </msub> <msubsup> <mi>&sigma;</mi> <mi>a</mi> <mn>2</mn> </msubsup> <mo>)</mo> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>&le;</mo> <msub> <mover> <mi>P</mi> <mo>&OverBar;</mo> </mover> <mi>f</mi> </msub> <msub> <mi>T</mi> <mi>f</mi> </msub> <mo>,</mo> </mrow>Wherein, γ NMSEuPreset minimum value,WithThe average energy respectively set, authorized user and Ji The highest energy stood, MMSElFor the least mean-square error at authorized user, MMSEuIt is missed for the lowest mean square at unauthorized user Difference, NbsFor base station antenna amount, PfFor the preceding energy to training pilot signal, TfFor the preceding length to training pilot signal, Nl For antenna amount at authorized user, PrFor the energy of reverse train pilot signal, TrThe length of reverse train pilot signal,For The energy of man made noise.
- 2. a kind of safety of physical layer method based on low complex degree difference channel estimation according to claim 1, feature It is:The method is applied to the extensive mimo wireless communication system under tdd mode.
- 3. a kind of safety of physical layer method based on low complex degree difference channel estimation according to claim 1, feature It is:The method is the combination of difference channel estimation methods and polynomial expansion method.
- 4. a kind of safety of physical layer method based on low complex degree difference channel estimation according to claim 1, feature It is:The method is the process using polynomial expansion approximate representation non-diagonal matrix inversion.
- 5. a kind of safety of physical layer method based on low complex degree difference channel estimation according to claim 1, feature It is, when the method calculates the least mean-square error of channel estimation, matrix is non-diagonal matrix;It is approximate using polynomial expansion The inversion process of representing matrix obtains the approximate expression of least mean-square error.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410729165.2A CN104468428B (en) | 2014-12-04 | 2014-12-04 | Safety of physical layer method based on low complex degree difference channel estimation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410729165.2A CN104468428B (en) | 2014-12-04 | 2014-12-04 | Safety of physical layer method based on low complex degree difference channel estimation |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104468428A CN104468428A (en) | 2015-03-25 |
CN104468428B true CN104468428B (en) | 2018-06-05 |
Family
ID=52913821
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410729165.2A Active CN104468428B (en) | 2014-12-04 | 2014-12-04 | Safety of physical layer method based on low complex degree difference channel estimation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104468428B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104955035B (en) * | 2015-06-16 | 2016-03-23 | 熊绵朝 | Based on the symmetric encryption method of the artificial base band noise of digital baseband signal |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101039290A (en) * | 2007-04-19 | 2007-09-19 | 西安电子科技大学 | Method for estimating MIMO related channel based on self-adaptive training sequence |
US20100238824A1 (en) * | 2009-03-20 | 2010-09-23 | Qualcomm Incorporated | Feedback mechanisms for beamforming operation |
CN103199909A (en) * | 2013-04-16 | 2013-07-10 | 中国人民解放军信息工程大学 | Signal transmission method, signal receiving method, signal transmission device, signal receiving device and signal communication system for achieving secure communication |
CN103986545A (en) * | 2014-05-09 | 2014-08-13 | 西安交通大学 | Physical layer safety transmission method used for SIMO wireless communication system |
-
2014
- 2014-12-04 CN CN201410729165.2A patent/CN104468428B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101039290A (en) * | 2007-04-19 | 2007-09-19 | 西安电子科技大学 | Method for estimating MIMO related channel based on self-adaptive training sequence |
US20100238824A1 (en) * | 2009-03-20 | 2010-09-23 | Qualcomm Incorporated | Feedback mechanisms for beamforming operation |
CN103199909A (en) * | 2013-04-16 | 2013-07-10 | 中国人民解放军信息工程大学 | Signal transmission method, signal receiving method, signal transmission device, signal receiving device and signal communication system for achieving secure communication |
CN103986545A (en) * | 2014-05-09 | 2014-08-13 | 西安交通大学 | Physical layer safety transmission method used for SIMO wireless communication system |
Also Published As
Publication number | Publication date |
---|---|
CN104468428A (en) | 2015-03-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103442366B (en) | A kind of cognitive radio users space division multiplexing method based on interference alignment | |
CN103248461B (en) | Based on the multiple cell interference alignment iterative algorithm of beam forming | |
CN106131941A (en) | Power distribution method in collaborative network based on man made noise under the conditions of cooperation channel imperfect channel estimation | |
CN104104422A (en) | Multi-antenna non-trusted relay system based on limit feedback and transmission method thereof | |
CN106209355B (en) | A kind of wireless communication key generation method based on channel characteristics parameter | |
CN104579443A (en) | Linear pre-coding method based on multi-cell coordination Massive MIMO system | |
CN103209051A (en) | Two-step pre-coding method of cooperative multipoint united transmission system under multi-user scene | |
CN104581960A (en) | Multi-user collaboration jamming power distribution method under restraint of confidentiality interrupt probability | |
CN102752080B (en) | A kind of anti-eavesdrop coded method based on physical layer | |
CN107528624A (en) | A kind of design method of the sane beam forming based on non-orthogonal multiple access technology | |
CN104869626A (en) | Uplink large-scale MIMO system power control method based on receiver with low complexity | |
CN104039004A (en) | Method for heterogeneous user pilot frequency power optimal distribution in large-scale multi-input multi-output system | |
CN104144039B (en) | Pilot distribution method based on coherence time in a kind of extensive mimo system | |
CN105657700A (en) | Wireless anti-eavesdropping communication method based on cooperation of multiple source nodes | |
CN101951678B (en) | Power allocation method and device in multi-user MIMO (Multiple Input Multiple Output) system | |
CN103595455B (en) | LTE A non-code book beam form-endowing method based on user satisfaction | |
CN102347820A (en) | Joint coding and decoding method of multi-cell cooperation wireless communication system | |
CN107248875A (en) | A kind of multiple antennas relay system safety of physical layer design method based on signal to noise ratio | |
CN103607234B (en) | A kind of relaying merges method of reseptance and system | |
CN104135769A (en) | Method of OFDMA (Orthogonal Frequency Division Multiple Access) ergodic capacity maximized resource allocation under incomplete channel state information | |
CN107612669B (en) | User pairing method for non-orthogonal multiple access system | |
CN104468428B (en) | Safety of physical layer method based on low complex degree difference channel estimation | |
CN103178939B (en) | The method that feedback quantity improves system throughput is reduced based on Limited Feedback technology | |
CN105282739A (en) | Point-to-point secret key negotiation method based on physical layer pilot frequency presetting | |
CN104901732A (en) | Pilot frequency multiplexing method in dense node configuration system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |