CN109586763A - The denoising method and its denoising system of spread-spectrum signal in a kind of electronic communication system - Google Patents

The denoising method and its denoising system of spread-spectrum signal in a kind of electronic communication system Download PDF

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CN109586763A
CN109586763A CN201811419062.0A CN201811419062A CN109586763A CN 109586763 A CN109586763 A CN 109586763A CN 201811419062 A CN201811419062 A CN 201811419062A CN 109586763 A CN109586763 A CN 109586763A
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signal
spread
noise
matrix
spectrum
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CN109586763B (en
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李云鹤
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Zhaoqing Boshixin Electronic Technology Co ltd
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Zhaoqing University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H04B1/7103—Interference-related aspects the interference being multiple access interference
    • H04B1/7107—Subtractive interference cancellation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H04B1/711—Interference-related aspects the interference being multi-path interference
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2689—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation
    • H04L27/2691—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation involving interference determination or cancellation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2647—Arrangements specific to the receiver only
    • H04L27/2655—Synchronisation arrangements
    • H04L27/2689—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation
    • H04L27/2695—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation with channel estimation, e.g. determination of delay spread, derivative or peak tracking

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Noise Elimination (AREA)

Abstract

The invention belongs to electrical communication signals processing technology fields, and in particular to a kind of denoising reliability is higher, data processing amount is less, in the faster electronic communication system of speed multiple-frequency signal denoising method.The present invention includes: the spread-spectrum signal for receiving electronic communication system, and stores the spread-spectrum signal；Received spread-spectrum signal is compared with the standard signal information in the basic sample database of spread-spectrum signal, the parameter of standard signal information includes wavelength, wave rate and step-length, reaffirm the original signal and noise signal in received spread-spectrum signal, unrecognized signal is signal to be identified in received spread-spectrum signal.The present invention is kept a record the information of standard signal by establishing basic sample database, normal signal in system, which is carried out statistics, facilitates information useful in quick identification signal, avoid signal re-recognizes problem, the data processing amount for reducing denoising by the separation and reconstruct of signal simultaneously, can effectively reduce the processing time of information.

Description

The denoising method and its denoising system of spread-spectrum signal in a kind of electronic communication system
Technical field
The invention belongs to electrical communication signals processing technology fields, and in particular to a kind of denoising reliability is higher, at data Reason amount is less, in the faster electronic communication system of speed multiple-frequency signal denoising method.
Background technique
With the continuous innovation of social progress and science and technology, the transmitting enhanced convenience of information is quick, electronic communication Technology is the more rapid information transmission technology of modern social development, is made that brilliance for people's lives and social progress Contribution.However information when being transmitted by channel always by various interference, including atmospheric interference, multi-path jamming, Human interference etc., while the development of the communication technology and the continuous foundation of communication network are so that workable limited frequency is increasingly gathered around It squeezes, easily causes and interfere between frequency, therefore how to improve the reliability of communications and validity is that development communication technologies needs are ground The important topic studied carefully.In the 1980s, digital communication technology becomes the mainstream communication technology, basic modulation system includes ASK/PSK/FSK.The use of multi-system modulation system later improves the rate of information transmission, but also brings for whole system Some defects.The appearance of spread spectrum technic effectively solves the various interference problems of information transmission, while also making signal The rate of transmission be improved spread spectrum technic be a kind of spread-spectrum transmission technology, principle be by one spread Function broadens signal spectrum to be transmitted, is then delivered in channel and is transmitted, and identical spread-spectrum function is used when reception Recover the bandwidth of original signal.Spread spectrum is widely used because of its good anti-interference ability, including militarily and Civilian aspect, satellite communication etc., the big standard of the three of 3G (Third Generation) Moblie also all use spread spectrum, the development of 4G technology Spread spectrum is set to be further improved and more thorough application, therefore study spread spectrum technic to have critically important show Sincere justice and application value.
It is many about the analysis and research algorithm of electronic communication spread-spectrum signal both at home and abroad, and in practical communication system, electromagnetism coupling It closes, the influence of environment can all adulterate much noise information, clean, free of contamination spread spectrum in the switching of equipment, acquisition signal process Signal is the key that accurate analysis signal of communication problem, and therefore, which emerges a large amount of Denoising Algorithm.Traditional method: Linear and nonlinear filtering, such as the complicated Denoising Algorithm of gaussian filtering, singular value decomposition, wavelet transformation and mathematics morphology, But they have respective the strengths and weaknesses.Linear filtering principle is mature on the whole, and calculating process is simple, should be readily appreciated that and realize etc. Advantage is still received by many people in this field of signal denoising.And nonlinear filtering is then completely different, compare with it is original Useful information in signal, noise information relatively disperse, and numerical value is smaller, and it is approximately that zero information is reflected that nonlinear filtering, which is exactly by these, Penetrating is zero, to achieve the purpose that denoising retains useful information.Early stage median filtering is exactly the Typical Representative of nonlinear filtering, but Median filter theory is incomplete, poor to part signals and associated noises filter effect.Therefore, the further development for just affecting it, by Gradually faded from memory by people, is substituted by other Denoising Algorithms.
Recent years, denoising are widely used in signal denoising processing.Its essence be exactly it is unlimited approach original signal, this Also exactly it can retain the key of certain transient informations.Denoising can also regard signal filtering link as, exactly filter out every layer of details The lesser noise information of numerical value in coefficient is similar to low-pass filter.During denoising, Decomposition order can excessively be obtained more Detail coefficients, every layer of detail coefficients, which all pass through threshold process, can make original signal lose a large amount of useful informations；Decomposition order is very little It may cause that noise filtering is insufficient, be unable to reach the purpose of noise reduction.
Summary of the invention
Letter is spread in a kind of the purpose of the present invention is to provide denoising degree stronger, the higher electronic communication system of reliability Number denoising method.
The object of the invention is also to provide a kind of denoising systems of spread-spectrum signal in electronic communication system.
The object of the present invention is achieved like this:
The denoising method of spread-spectrum signal, includes the following steps: in a kind of electronic communication system
(1) spread-spectrum signal of electronic communication system is received, and stores the spread-spectrum signal；
(2) received spread-spectrum signal is compared with the standard signal information in the basic sample database of spread-spectrum signal, is marked The parameter of calibration signal information includes wavelength, wave rate and step-length, reaffirms original signal and noise in received spread-spectrum signal Signal, unrecognized signal is signal to be identified in received spread-spectrum signal；
(3) separating treatment is done after carrying out framing to original signal, noise signal and signal to be identified；
(4) retain original signal, removal noise signal, retain signal to be identified, form non-noise signal；
(5) the non-noise signal is stored, and enhancing processing is carried out to the original signal in non-noise signal, it is right Signal to be identified in non-noise signal carries out Weakening treatment；
(6) the non-noise signal after reduction treatment is complete spread-spectrum signal.
Received k-th of the spread-spectrum signal g (t) of repeater of the reception electronic communication system are as follows:
G (t)=QkΨk(y (t))+δ (t), k=1,2,3 ..., K；
K is the number of spread-spectrum signal；QkFor the channel fading coefficient between k-th of spread-spectrum signal and repeater；δ (t) is Noise；T is time variable；ΨkFor the spread-spectrum signal amplification coefficient of signal amplifying system in electronic communication system；
Y (t) is the input signal of electronic communication system,For Taylor polynomial coefficient, IsFor the order for emitting signal；
The signal f (t) that the reception system of electronic communication system receives are as follows:
F (t)=Qrη (g (t))+u (t)=Qrη[QkΨk(y(t))+δ(t)]+u(t)；
η () is the response characteristic of reception system, QrFor the channel fading coefficient between repeater and reception system, u (t) For additive noise；
LrFor the order of the Taylor polynomial model of signal amplifying system；αrFor the hardware characteristics of signal amplifying system；
The spread-spectrum signal F (t) that final reception system receives are as follows:
It is described original signal, noise signal and signal to be identified are carried out doing separating treatment after framing include:
(3.1) the signal framing that will be received according to identical time interval:
F (t)={ f1,f2,f3,…,fN}；
It is further represented as
Fj=Yj+Uj, j=1,2,3 ..., N；
N is the framing number of signal；YjIndicate original signal；UjIndicate noise signal.
The reservation original signal, removal noise signal, retain signal to be identified, forming non-noise signal includes:
(4.1) the reception signal after framing is configured to m × n rank matrix, comprising:
The dimension n of (4.1.1) setting matrix；
(4.1.2) extracts { f from F (t)1,f2,f3,…,fnThe first row as matrix；
(4.1.3) postpones a frame number backward and extracts { f2,f3,…,fn+1The second row as matrix；
(4.1.4) successively postpones a frame number backward, until the last one signal of m row is fN, as last of matrix Row；
The matrix of formation are as follows:
Ym×nMatrix is tieed up for the m ﹡ n that original signal is constituted；Um×nMatrix is tieed up for the m ﹡ n that noise signal is constituted；If N is even number, Then m=N/2+1, n=N/2；If N is odd number, m and n are (N+1)/2；
(4.2) singular value decomposition is carried out to D；
D=Σ SZH；
S is the unitary matrix of m ﹡ m dimension；Z is the unitary matrix of n ﹡ n dimension, i.e. the left and right singular matrix of D, the conjugate matrices of H representing matrix； Σ is that m ﹡ n ties up diagonal matrix, the element α of leading diagonaliFor the non-zero singular value of D, with descending order, i.e. α1≥α2≥α3 ≥…≥αi；
(4.3) the i.e. preceding l maximum singular values of effective order of Σ are determined；Reconstruct D's approaches matrix Xl；
SlIt is the corresponding left singular vector of the maximum singular value of preceding l；Sm-lIt is that preceding m-1 maximum singular values are corresponding Left singular vector；ZlIt is the corresponding right singular vector of the maximum singular value of preceding l；Zm-1It is that preceding m-l maximum singular values are corresponding Right singular vector；ΣlFor the corresponding diagonal matrix of the maximum singular value of preceding l；
(4.4) by XlThe signal component that middle signal and standard signal information match is reconstructed into signal matrix:
ε=min (l, γ-ε+l), γ=max (n, k)；
R is the non-noise signal after separating.
Described carries out enhancing processing to the original signal in non-noise signal, to the signal to be identified in non-noise signal Carrying out Weakening treatment includes:
(5.1) non-noise signal R is standardized:
It willIt is reconstructed into non-noise signal R*；
(5.2) enhancing processing is carried out to the original signal in non-noise signal, to the signal to be identified in non-noise signal It carries out Weakening treatment and obtains non-noise processing signal Z, wherein matrix gain coefficient e is introduced,
The gain coefficient e are as follows:
The effect of Eff is electronic communication system coefficient.
Non-noise signal after the reduction treatment is that complete spread-spectrum signal refers to: according to step (4.1)-(4.4) Non-noise signal R is reconstructed in contrary operation, obtains and reconstructs non-noise signal R (t)={ r1,r2,r3,…,rN}。
The denoising system of spread-spectrum signal in a kind of electronic communication system, comprising:
Signal receiving module: receiving the spread-spectrum signal of electronic communication system, and stores the spread-spectrum signal；
Signal fusing, that is, discriminating module: by the standard signal in the basic sample database of received spread-spectrum signal and spread-spectrum signal Information is compared, and the parameter of standard signal information includes wavelength, wave rate and step-length, reaffirms in received spread-spectrum signal Original signal and noise signal, unrecognized signal is signal to be identified in received spread-spectrum signal；
Signal separation module: separating treatment is done after carrying out framing to original signal, noise signal and signal to be identified；
Signal denoising module: retain original signal, removal noise signal, retain signal to be identified, form non-noise signal；
Signal gain module: storing the non-noise signal, and carries out to the original signal in non-noise signal Enhancing processing carries out Weakening treatment to the signal to be identified in non-noise signal；
Signals revivification module: the non-noise signal after reduction treatment is complete spread-spectrum signal.
The signal receiving module receives received k-th of the spread-spectrum signal of repeater of electronic communication system:
G (t)=QkΨk(y (t))+δ (t), k=1,2,3 ..., K；
K is the number of spread-spectrum signal, QkFor the channel fading coefficient between k-th of spread-spectrum signal and repeater；δ (t) is Noise；T is time variable；ΨkFor the spread-spectrum signal amplification coefficient of signal amplifying system in electronic communication system；
Y (t) is the input signal of electronic communication system,For Taylor polynomial coefficient, IsFor the order for emitting signal；
The signal f (t) that the reception system of electronic communication system receives are as follows:
F (t)=Qrη (g (t))+u (t)=Qrη[QkΨk(y(t))+δ(t)]+u(t)；
η () is the response characteristic of reception system, QrFor the channel fading coefficient between repeater and reception system, u (t) For additive noise；
LrFor the order of the Taylor polynomial model of signal amplifying system, αrFor the hardware characteristics of signal amplifying system；
The spread-spectrum signal F (t) that final reception system receives are as follows:
The signal separation module does separating treatment after carrying out framing to original signal, noise signal and signal to be identified Include:
The signal framing that will be received according to identical time interval:
F (t)={ f1,f2,f3,…,fN}；
It is further represented as
Fj=Yj+Uj, j=1,2,3 ..., N；
N is the framing number of signal；YjIndicate original signal；UjIndicate noise signal.
The signal denoising module retains original signal, removal noise signal, retains signal to be identified, forms non-noise Signal includes:
(6.1) the reception signal after framing is configured to m × n rank matrix, comprising:
The dimension n of (6.1.1) setting matrix；
(6.1.2) extracts { f from F (t)1,f2,f3,…,fnThe first row as matrix；
(6.1.3) postpones a frame number backward and extracts { f2,f3,…,fn+1The second row as matrix；
(6.1.4) successively postpones a frame number backward, until the last one signal of m row is fN, as last of matrix Row, wherein N=m+n-1；
The matrix of formation are as follows:
Ym×nMatrix is tieed up for the m ﹡ n that original signal is constituted；Um×nMatrix is tieed up for the m ﹡ n that noise signal is constituted；If N is even number, Then m=N/2+1, n=N/2；If N is odd number, m and n are (N+1)/2；
(6.2) singular value decomposition is carried out to D；
D=Σ SZH
S is the unitary matrix of m ﹡ m dimension；Z is the unitary matrix of n ﹡ n dimension, i.e. the left and right singular matrix of D, the conjugate matrices of H representing matrix； Σ is that m ﹡ n ties up diagonal matrix, the element α of leading diagonaliFor the non-zero singular value of D, with descending order, i.e. α1≥α2≥α3 ≥…≥αi；
(6.3) the i.e. preceding l maximum singular values of effective order of Σ are determined；Reconstruct D's approaches matrix Xl；
SlIt is the corresponding left singular vector of the maximum singular value of preceding l；Sm-lIt is that preceding m-1 maximum singular values are corresponding Left singular vector；ZlIt is the corresponding right singular vector of the maximum singular value of preceding l；Zm-1It is that preceding m-l maximum singular values are corresponding Right singular vector；ΣlFor the corresponding diagonal matrix of the maximum singular value of preceding l；
(6.4) by XlThe signal component that middle signal and standard signal information match is reconstructed into signal matrix:
ε=min (l, γ-ε+l), γ=max (n, k)；
R is the non-noise signal after separating.
The signal gain module carries out enhancing processing to the original signal in non-noise signal, in non-noise signal Signal to be identified carry out Weakening treatment include:
(7.1) non-noise signal R is standardized:
It willIt is reconstructed into non-noise signal R*；
(7.2) enhancing processing is carried out to the original signal in non-noise signal, to the signal to be identified in non-noise signal It carries out Weakening treatment and obtains non-noise processing signal Z, wherein matrix gain coefficient e is introduced,
The gain coefficient e are as follows:
The effect of Eff is electronic communication system coefficient.
Non-noise signal after the signals revivification module reduction treatment is that complete spread-spectrum signal refers to: according to step (4.1) non-noise signal R is reconstructed in-(4.4) contrary operation, obtains and reconstructs non-noise signal R (t)={ r1,r2, r3,…,rN}。
The beneficial effects of the present invention are:
The present invention is kept a record the information of standard signal by establishing basic sample database, and the normal signal in system is carried out Statistics facilitates information useful in quick identification signal, avoids the problem that re-recognizes of signal, while point for passing through signal From the data processing amount for reducing denoising with reconstruct, the processing time of information can be effectively reduced.Pass through the feature meter of singular value Calculation eliminates noise signal, and the noise of communication system is effectively removed by way of singular value decomposition and reconstruct.
Detailed description of the invention
Fig. 1 is the denoising method schematic diagram of spread-spectrum signal in electronic communication system of the invention；
Fig. 2 is the denoising system schematic diagram of spread-spectrum signal in electronic communication system of the invention.
Specific embodiment
The present invention is described further with reference to the accompanying drawing.
Fig. 1 is a kind of denoising method of spread-spectrum signal in electronic communication system, includes the following steps: to receive electronic communication system The spread-spectrum signal of system, and store the spread-spectrum signal；By the standard in the basic sample database of received spread-spectrum signal and spread-spectrum signal Signal message is compared, and the parameter of standard signal information includes wavelength, wave rate and step-length, reaffirms received spread-spectrum signal In original signal and noise signal, in received spread-spectrum signal unrecognized signal be signal to be identified；To original letter Number, noise signal and signal to be identified do separating treatment after carrying out framing；Retain original signal, removal noise signal, retain to Identification signal forms non-noise signal；The non-noise signal is stored, and to the original signal in non-noise signal into Row enhancing processing carries out Weakening treatment to the signal to be identified in non-noise signal；Non-noise signal after reduction treatment has been Whole spread-spectrum signal.This method is kept a record the information of standard signal by establishing basic sample database, and the routine in system is believed Number carrying out statistics facilitates information useful in quick identification signal, avoids the problem that re-recognizes of signal, while passing through letter Number separation and reconstruct reduce the data processing amount of denoising, the processing time of information can be effectively reduced.
Embodiment 1
Further, received k-th of the spread-spectrum signal g (t) of repeater of electronic communication system is received are as follows:
G (t)=QkΨk(y (t))+δ (t), k=1,2,3 ..., K；
K is the number of spread-spectrum signal, QkFor the channel fading coefficient between k-th of spread-spectrum signal and repeater；δ (t) is Noise；T is time variable；ΨkFor the spread-spectrum signal amplification coefficient of signal amplifying system in electronic communication system；
Y (t) is the input signal of electronic communication system,For Taylor polynomial coefficient, IsFor the order for emitting signal；
The signal f (t) that the reception system of electronic communication system receives are as follows:
F (t)=Qrη (g (t))+u (t)=Qrη[QkΨk(y(t))+δ(t)]+u(t)；
η () is the response characteristic of reception system；QrFor the channel fading coefficient between repeater and reception system；u(t) For additive noise；
LrFor the order of the Taylor polynomial model of signal amplifying system；αrFor the hardware characteristics of signal amplifying system；
The spread-spectrum signal F (t) that final reception system receives are as follows:
The present invention amplifies system received signal, and the signal characteristic of noise signal and the signal of original signal is special Sign has all carried out effective amplification, can reduce denoising difficulty, reduces required precision when denoising.
Include: to separating treatment is done after the progress framing of original signal, noise signal and signal to be identified
(3.1) the signal framing that will be received according to identical time interval:
F (t)={ f1,f2,f3,…,fN}；
It is further represented as
Fj=Yj+Uj, j=1,2,3 ..., N；
N is the framing number of signal；YjIndicate original signal；UjIndicate noise signal.
Denoising direction effectively can be provided for subsequent denoising by sub-frame processing, it is difficult to further reduced denoising Degree.
Retain original signal, removal noise signal, retain signal to be identified, forming non-noise signal includes
(4.1) the reception signal after framing is configured to m × n rank matrix, comprising:
The dimension n of (4.1.1) setting matrix；
(4.1.2) extracts { f from F (t)1,f2,f3,…,fnThe first row as matrix；
(4.1.3) postpones a frame number backward and extracts { f2,f3,…,fn+1The second row as matrix；
(4.1.4) successively postpones a frame number backward, until the last one signal of m row is fN, as last of matrix Row, wherein N=m+n-1；
The matrix of formation are as follows:
Ym×nMatrix is tieed up for the m ﹡ n that original signal is constituted；Um×nMatrix is tieed up for the m ﹡ n that noise signal is constituted；If N is even number, Then m=N/2+1, n=N/2；If N is odd number, m and n are (N+1)/2；
(4.2) singular value decomposition is carried out to D；
D=Σ SZH；
S is the unitary matrix of m ﹡ m dimension；Z is the unitary matrix of n ﹡ n dimension, i.e. the left and right singular matrix of D, the conjugate matrices of H representing matrix； Σ is that m ﹡ n ties up diagonal matrix, the element α of leading diagonaliFor the non-zero singular value of D, with descending order, i.e. α1≥α2≥α3 ≥…≥αi；
(4.3) the i.e. preceding l maximum singular values of effective order of Σ are determined；Reconstruct D's approaches matrix Xl；
SlIt is the corresponding left singular vector of the maximum singular value of preceding l；Sm-lIt is that preceding m-1 maximum singular values are corresponding Left singular vector；ZlIt is the corresponding right singular vector of the maximum singular value of preceding l；Zm-1It is that preceding m-l maximum singular values are corresponding Right singular vector；ΣlFor the corresponding diagonal matrix of the maximum singular value of preceding l；
(4.4) by XlThe signal component that middle signal and standard signal information match is reconstructed into signal matrix:
ε=min (l, γ-ε+l), γ=max (n, k)；
R is the non-noise signal after separating.
The present invention eliminates noise signal by the feature calculation of singular value, has by way of singular value decomposition and reconstruct The noise of effect removal communication system.
Enhancing processing is carried out to the original signal in non-noise signal, the signal to be identified in non-noise signal is carried out weak Change is handled
(5.1) non-noise signal R is standardized:
It willIt is reconstructed into non-noise signal R*；
(5.2) enhancing processing is carried out to the original signal in non-noise signal, to the signal to be identified in non-noise signal It carries out Weakening treatment and obtains non-noise processing signal Z, wherein matrix gain coefficient e is introduced,
The gain coefficient e are as follows:
The effect of Eff is electronic communication system coefficient.
The present invention passes through by enhancing signal and Weakening treatment, readily available more accurate information pass through standard Change handles the signal form for further having unified sophisticated electronic communication system, improves signal band width.
Non-noise signal after reduction treatment is that complete spread-spectrum signal refers to: according to the reverse behaviour in step (4.1)-(4.4) The non-noise signal R that opposes is reconstructed, and obtains and reconstructs non-noise signal R (t)={ r1,r2,r3,…,rN}。
By contrary operation, reconstruct efficiency can effectively improve.
Embodiment 2
Fig. 2, the denoising system of spread-spectrum signal in a kind of electronic communication system, further, the present invention provides one kind The denoising system of spread-spectrum signal in electronic communication system, comprising:
Signal receiving module: receiving the spread-spectrum signal of electronic communication system, and stores the spread-spectrum signal；
Signal fusing, that is, discriminating module: by the standard signal in the basic sample database of received spread-spectrum signal and spread-spectrum signal Information is compared, and the parameter of standard signal information includes wavelength, wave rate and step-length, reaffirms in received spread-spectrum signal Original signal and noise signal, unrecognized signal is signal to be identified in received spread-spectrum signal；
Signal separation module: separating treatment is done after carrying out framing to original signal, noise signal and signal to be identified；
Signal denoising module: retain original signal, removal noise signal, retain signal to be identified, form non-noise signal；
Signal gain module: storing the non-noise signal, and carries out to the original signal in non-noise signal Enhancing processing carries out Weakening treatment to the signal to be identified in non-noise signal；
Signals revivification module: the non-noise signal after reduction treatment is complete spread-spectrum signal.
Received k-th of the spread-spectrum signal g (t) of repeater of signal receiving module reception electronic communication system:
G (t)=QkΨk(y (t))+δ (t), k=1,2,3 ..., K；
K is the number of spread-spectrum signal, QkFor the channel fading coefficient between k-th of spread-spectrum signal and repeater；δ (t) is Noise；T is time variable；ΨkFor the spread-spectrum signal amplification coefficient of signal amplifying system in electronic communication system；
Y (t) is the input signal of electronic communication system,For Taylor polynomial coefficient, IsFor the order for emitting signal；
The signal f (t) that the reception system of electronic communication system receives are as follows:
F (t)=Qrη (g (t))+u (t)=Qrη[QkΨk(y(t))+δ(t)]+u(t)；
η () is the response characteristic of reception system；QrFor the channel fading coefficient between repeater and reception system；u(t) For additive noise；
LrFor the order of the Taylor polynomial model of signal amplifying system；αrFor the hardware characteristics of signal amplifying system；
The spread-spectrum signal F (t) that final reception system receives are as follows:
Signal separation module does separating treatment and includes: after carrying out framing to original signal, noise signal and signal to be identified
The signal framing that will be received according to identical time interval:
F (t)={ f1,f2,f3,…,fN}；
It is further represented as
Fj=Yj+Uj, j=1,2,3 ..., N；
N is the framing number of signal；YjIndicate original signal；UjIndicate noise signal.
Signal denoising module retains original signal, removal noise signal, retains signal to be identified, forms non-noise signal packet It includes:
(6.1) the reception signal after framing is configured to m × n rank matrix, comprising:
The dimension n of (6.1.1) setting matrix；
(6.1.2) extracts { f from F (t)1,f2,f3,…,fnThe first row as matrix；
(6.1.3) postpones a frame number backward and extracts { f2,f3,…,fn+1The second row as matrix；
(6.1.4) successively postpones a frame number backward, until the last one signal of m row is fN, as last of matrix Row, wherein N=m+n-1；
The matrix of formation are as follows:
Ym×nMatrix is tieed up for the m ﹡ n that original signal is constituted；Um×nMatrix is tieed up for the m ﹡ n that noise signal is constituted；If N is even number, Then m=N/2+1, n=N/2；If N is odd number, m and n are (N+1)/2；
(6.2) singular value decomposition is carried out to D；
D=Σ SZH
S is the unitary matrix of m ﹡ m dimension；Z is the unitary matrix of n ﹡ n dimension, i.e. the left and right singular matrix of D, the conjugate matrices of H representing matrix； Σ is that m ﹡ n ties up diagonal matrix, the element α of leading diagonaliFor the non-zero singular value of D, with descending order, i.e. α1≥α2≥α3 ≥…≥αi；
(6.3) the i.e. preceding l maximum singular values of effective order of Σ are determined；Reconstruct D's approaches matrix Xl；
SlIt is the corresponding left singular vector of the maximum singular value of preceding l；Sm-lIt is that preceding m-1 maximum singular values are corresponding Left singular vector；ZlIt is the corresponding right singular vector of the maximum singular value of preceding l；Zm-1It is that preceding m-l maximum singular values are corresponding Right singular vector；ΣlFor the corresponding diagonal matrix of the maximum singular value of preceding l；
(6.4) by XlThe signal component that middle signal and standard signal information match is reconstructed into signal matrix:
ε=min (l, γ-ε+l), γ=max (n, k)；
R is the non-noise signal after separating.
Signal gain module carries out enhancing processing to the original signal in non-noise signal, in non-noise signal wait know Level signal carries out Weakening treatment
(7.1) non-noise signal R is standardized:
It willIt is reconstructed into non-noise signal R*；
(7.2) enhancing processing is carried out to the original signal in non-noise signal, to the signal to be identified in non-noise signal It carries out Weakening treatment and obtains non-noise processing signal Z, wherein matrix gain coefficient e is introduced,
The gain coefficient e are as follows:
The effect of Eff is electronic communication system coefficient.
Non-noise signal after signals revivification module reduction treatment is that complete spread-spectrum signal refers to: according to step (4.1)- (4.4) non-noise signal R is reconstructed in contrary operation, obtains and reconstructs non-noise signal R (t)={ r1,r2,r3,…,rN}。
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, Within the technical scope disclosed by the invention, any changes or substitutions that can be easily thought of by any people for being familiar with the technology, should all cover Within protection scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.

Claims (10)

1. the denoising method of spread-spectrum signal in a kind of electronic communication system, which comprises the steps of:
(1) spread-spectrum signal of electronic communication system is received, and stores the spread-spectrum signal；
(2) received spread-spectrum signal is compared with the standard signal information in the basic sample database of spread-spectrum signal, standard letter The parameter of number information includes wavelength, wave rate and step-length, reaffirms original signal and noise signal in received spread-spectrum signal, Unrecognized signal is signal to be identified in received spread-spectrum signal；
(3) separating treatment is done after carrying out framing to original signal, noise signal and signal to be identified；
(4) retain original signal, removal noise signal, retain signal to be identified, form non-noise signal；
(5) the non-noise signal is stored, and enhancing processing is carried out to the original signal in non-noise signal, made an uproar to non- Signal to be identified in acoustical signal carries out Weakening treatment；
(6) the non-noise signal after reduction treatment is complete spread-spectrum signal.
2. the denoising method of spread-spectrum signal in a kind of electronic communication system according to claim 1, which is characterized in that described Received k-th of the spread-spectrum signal g (t) of the repeater of electronic communication system are as follows:
G (t)=QkΨk(y (t))+δ (t), k=1,2,3 ..., K；
K is the number of spread-spectrum signal；QkFor the channel fading coefficient between k-th of spread-spectrum signal and repeater；δ (t) is noise；t For time variable；ΨkFor the spread-spectrum signal amplification coefficient of signal amplifying system in electronic communication system；
Y (t) is the input signal of electronic communication system；For Taylor polynomial coefficient；IsFor the order for emitting signal；
The signal f (t) that the reception system of electronic communication system receives are as follows:
F (t)=Qrη (g (t))+u (t)=Qrη[QkΨk(y(t))+δ(t)]+u(t)；
η () is the response characteristic of reception system；QrFor the channel fading coefficient between repeater and reception system；U (t) is to add Property noise；
LrFor the order of the Taylor polynomial model of signal amplifying system；αrFor the hardware characteristics of signal amplifying system；
The spread-spectrum signal F (t) that final reception system receives are as follows:
3. the denoising method of spread-spectrum signal in a kind of electronic communication system according to claim 1, which is characterized in that described Framing is carried out to original signal, noise signal and signal to be identified after do separating treatment and include:
(3.1) the signal framing that will be received according to identical time interval:
F (t)={ f1,f2,f3,…,fN}；
It is further represented as
Fj=Yj+Uj, j=1,2,3 ..., N；
N is the framing number of signal；YjIndicate original signal；UjIndicate noise signal.
4. the denoising method of spread-spectrum signal in a kind of electronic communication system according to claim 1, which is characterized in that described Reservation original signal, removal noise signal, retain signal to be identified, forming non-noise signal includes:
(4.1) the reception signal after framing is configured to m × n rank matrix, comprising:
The dimension n of (4.1.1) setting matrix；
(4.1.2) extracts { f from F (t)1,f2,f3,…,fnThe first row as matrix；
(4.1.3) postpones a frame number backward and extracts { f2,f3,…,fn+1The second row as matrix；
(4.1.4) successively postpones a frame number backward, until the last one signal of m row is fN, as the last line of matrix, this When N=n+m-1；
The matrix D of formation are as follows:
Ym×nMatrix, U are tieed up for the m ﹡ n that original signal is constitutedm×nMatrix is tieed up for the m ﹡ n that noise signal is constituted, if N is even number, m= N/2+1, n=N/2；If N is odd number, m and n are (N+1)/2；
(4.2) singular value decomposition is carried out to D；
D=Σ SZH
S is the unitary matrix of m ﹡ m dimension；Z is the unitary matrix of n ﹡ n dimension, i.e. the left and right singular matrix of D, the conjugate matrices of H representing matrix；Σ is M ﹡ n ties up diagonal matrix, the element α of leading diagonaliFor the non-zero singular value of D, with descending order, i.e. α1≥α2≥α3≥…≥ αi；
(4.3) the i.e. preceding l maximum singular values of effective order of Σ are determined, reconstruct D approaches matrix Xl；
SlIt is the corresponding left singular vector of the maximum singular value of preceding l；Sm-lIt is that the corresponding left side of the maximum singular value of preceding m-1 is unusual Vector；ZlIt is the corresponding right singular vector of the maximum singular value of preceding l；Zm-1It is the corresponding right surprise of the maximum singular value of preceding m-l Incorgruous amount；ΣlFor the corresponding diagonal matrix of the maximum singular value of preceding l；
(4.4) by XlThe signal component that middle signal and standard signal information match is reconstructed into signal matrix:
ε=min (l, γ-ε+l), γ=max (n, k)；
R is the non-noise signal after separating.
5. the denoising method of spread-spectrum signal in a kind of electronic communication system according to claim 1, which is characterized in that described Enhancing processing is carried out to the original signal in non-noise signal, in non-noise signal signal to be identified carry out Weakening treatment Include:
(5.1) non-noise signal is standardized:
It willIt is reconstructed into non-noise signal R*；
(5.2) enhancing processing is carried out to the original signal in non-noise signal, the signal to be identified in non-noise signal is carried out Weakening treatment obtains non-noise processing signal Z, wherein matrix gain coefficient e is introduced,
The gain coefficient e are as follows:
The effect of Eff is electronic communication system coefficient.
6. the denoising method of spread-spectrum signal in a kind of electronic communication system according to claim 1, which is characterized in that described Reduction treatment after non-noise signal be complete spread-spectrum signal refer to: according to step (4.1)-(4.4) contrary operation to non- Noise signal R is reconstructed, and obtains and reconstructs non-noise signal R (t)={ r1,r2,r3,…,rN}。
7. the denoising system of spread-spectrum signal in a kind of electronic communication system characterized by comprising
Signal receiving module: receiving the spread-spectrum signal of electronic communication system, and stores the spread-spectrum signal；
Signal fusing, that is, discriminating module: by the standard signal information in the basic sample database of received spread-spectrum signal and spread-spectrum signal It is compared, the parameter of standard signal information includes wavelength, wave rate and step-length, is reaffirmed original in received spread-spectrum signal Signal and noise signal, unrecognized signal is signal to be identified in received spread-spectrum signal；
Signal separation module: separating treatment is done after carrying out framing to original signal, noise signal and signal to be identified；
Signal denoising module: retain original signal, removal noise signal, retain signal to be identified, form non-noise signal；
Signal gain module: the non-noise signal is stored, and the original signal in non-noise signal is enhanced Processing carries out Weakening treatment to the signal to be identified in non-noise signal；
Signals revivification module: the non-noise signal after reduction treatment is complete spread-spectrum signal.
8. the denoising system of spread-spectrum signal in a kind of electronic communication system according to claim 7, which is characterized in that described Signal receiving module receive electronic communication system received k-th of the spread-spectrum signal g (t) of repeater are as follows:
G (t)=QkΨk(y (t))+δ (t), k=1,2,3 ..., K；
K is the number of spread-spectrum signal；QkFor the channel fading coefficient between k-th of spread-spectrum signal and repeater；δ (t) is noise；t For time variable；ΨkFor the spread-spectrum signal amplification coefficient of signal amplifying system in electronic communication system；
Y (t) is the input signal of electronic communication system；For Taylor polynomial coefficient；IsFor the order for emitting signal；
The signal f (t) that the reception system of electronic communication system receives are as follows:
F (t)=Qrη (g (t))+u (t)=Qrη[QkΨk(y(t))+δ(t)]+u(t)；
η () is the response characteristic of reception system；For the channel fading coefficient between repeater and reception system；U (t) is additivity Noise；
LrFor the order of the Taylor polynomial model of signal amplifying system；αrFor the hardware characteristics of signal amplifying system；
The spread-spectrum signal F (t) that final reception system receives are as follows:
9. the denoising system of spread-spectrum signal in a kind of electronic communication system according to claim 7, which is characterized in that described Signal separation module framing is carried out to original signal, noise signal and signal to be identified after do separating treatment and include:
(6.1) the signal framing that will be received according to identical time interval:
F (t)={ f1,f2,f3,…,fN}；
It is further represented as
Fj=Yj+Uj, j=1,2,3 ..., N；
N is the framing number of signal；YjIndicate original signal；UjIndicate noise signal；
The signal denoising module retains original signal, removal noise signal, retains signal to be identified, forms non-noise signal Include:
(7.1) the reception signal after framing is configured to m × n rank matrix, comprising:
The dimension n of (7.1.1) setting matrix；
(7.1.2) extracts { f from F (t)1,f2,f3,…,fnThe first row as matrix；
(7.1.3) postpones a frame number backward and extracts { f2,f3,…,fn+1The second row as matrix；
(7.1.4) successively postpones a frame number backward, until the last one signal of m row is fN, as the last line of matrix, Middle N=m+n-1；
The matrix of formation are as follows:
Ym×nMatrix is tieed up for the m ﹡ n that original signal is constituted；Um×nMatrix is tieed up for the m ﹡ n that noise signal is constituted；If N is even number, m= N/2+1, n=N/2；If N is odd number, m and n are (N+1)/2；
(7.2) singular value decomposition is carried out to D；
D=Σ SZH
S is the unitary matrix of m ﹡ m dimension；Z is the unitary matrix of n ﹡ n dimension, i.e. the left and right singular matrix of D, the conjugate matrices of H representing matrix；Σ is M ﹡ n ties up diagonal matrix, the element α of leading diagonaliFor the non-zero singular value of D, with descending order, i.e. α1≥α2≥α3≥…≥ αi；
(7.3) the i.e. preceding l maximum singular values of effective order of Σ are determined；Reconstruct D's approaches matrix Xl；
SlIt is the corresponding left singular vector of the maximum singular value of preceding l；Sm-lIt is that the corresponding left side of the maximum singular value of preceding m-1 is unusual Vector；ZlIt is the corresponding right singular vector of the maximum singular value of preceding l；Zm-1It is the corresponding right surprise of the maximum singular value of preceding m-l Incorgruous amount；ΣlFor the corresponding diagonal matrix of the maximum singular value of preceding l；
(7.4) by XlThe signal component that middle signal and standard signal information match is reconstructed into signal matrix:
ε=min (l, γ-ε+l), γ=max (n, k)；
R is the non-noise signal after separating.
10. the denoising system of spread-spectrum signal in a kind of electronic communication system according to claim 7, which is characterized in that institute The signal gain module stated carries out enhancing processing to the original signal in non-noise signal, to the letter to be identified in non-noise signal Number carry out Weakening treatment include:
(8.1) non-noise signal R is standardized:
It willIt is reconstructed into non-noise signal R*；
(8.2) enhancing processing is carried out to the original signal in non-noise signal, the signal to be identified in non-noise signal is carried out Weakening treatment obtains non-noise processing signal Z, wherein matrix gain coefficient e is introduced,
The gain coefficient e are as follows:
The effect of Eff is electronic communication system coefficient；
Non-noise signal after the signals revivification module reduction treatment is that complete spread-spectrum signal refers to: according to step (4.1)- (4.4) non-noise signal R is reconstructed in contrary operation, obtains and reconstructs non-noise signal R (t)={ r1,r2,r3,…,rN}。
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