CN102638423A - Interference and noise elimination method and device - Google Patents
Interference and noise elimination method and device Download PDFInfo
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- CN102638423A CN102638423A CN2011100370096A CN201110037009A CN102638423A CN 102638423 A CN102638423 A CN 102638423A CN 2011100370096 A CN2011100370096 A CN 2011100370096A CN 201110037009 A CN201110037009 A CN 201110037009A CN 102638423 A CN102638423 A CN 102638423A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
- H04L25/03012—Arrangements for removing intersymbol interference operating in the time domain
- H04L25/03019—Arrangements for removing intersymbol interference operating in the time domain adaptive, i.e. capable of adjustment during data reception
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
- H04L2025/03433—Arrangements for removing intersymbol interference characterised by equaliser structure
- H04L2025/03535—Variable structures
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
- H04L25/03006—Arrangements for removing intersymbol interference
- H04L2025/03592—Adaptation methods
- H04L2025/03598—Algorithms
- H04L2025/03611—Iterative algorithms
- H04L2025/03617—Time recursive algorithms
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Abstract
The invention discloses an interference and noise elimination method and device. The method comprises the following steps of: extracting a pilot frequency sequence received by a user from a receiving signal, and obtaining an interference and noise spatial characteristic matrix according to the extracted receiving pilot frequency sequence and a local sending pilot frequency sequence; determining an interference and noise relative ratio according to the interference and noise spatial characteristic matrix; and carrying out comparison on the determined interference and noise relative ratio and the predetermined threshold, selecting a corresponding equalization algorithm to carry out equalization according to a comparative result, and eliminating the interference and noise. According to the technical scheme provided by the invention, the problem of deteriorated system performances due to adopting an equalization method in a robust mode because of the unknown magnitude of interference in a communication system is solved, thereby improving the communication characteristics of cell edge users, and farthest improving the throughput of cell centre users.
Description
Technical field
The present invention relates to the communications field, in particular to a kind of interference and noise cancellation method and device.
Background technology
The data rate that existing cell mobile communication systems provides has very big difference at center of housing estate and cell edge, has not only influenced the capacity of whole system, and is that the service quality that the user obtains in different positions has very big fluctuation.Therefore, the new generation broadband wireless communication system of researching and developing at present, the performance that all coincidentally will improve Cell Edge User is as one of main demand parameter.
The interference of minizone (Inter-cell Interference; ICI) be an intrinsic problem of cell mobile communication systems; The traditional solution is to adopt channeling, and reuse=1 is that neighbor cell all uses identical frequency resource, and is at this moment very serious in the interference of cell edge.Bigger reuse can suppress ICI effectively, but spectrum efficiency will reduce.
Existing interference cancellation scheme mainly is based on the spatial interference compact technique of many antennas receiving terminal.It does not rely on any extra transmitting terminal configuration; So need not do any extra standardization effort, but not rely on any extra signal distinguishing means (like frequency division, sign indicating number branch, interleaver branch), and only rely on empty branch means; Be difficult to obtain satisfied interference eliminated effect; And interference ratio is less in system, under the situation that is difficult to distinguish with Spatial Dimension, can cause the deterioration of systematic function.
Summary of the invention
Main purpose of the present invention is to provide a kind of interference and noise cancellation method and device, one of to address the above problem at least.
According to an aspect of the present invention, a kind of interference and noise cancellation method are provided, have comprised: the reception pilot frequency sequence that from receive signal, extracts the user; According to reception pilot frequency sequence that extracts and local transmission pilot frequency sequence, draw interference noise spatial character matrix; According to above-mentioned interference noise spatial character matrix, confirm the relative ratio of interference and noise; The interference of confirming and the relative ratio and the predetermined threshold of noise are compared, select corresponding equalization algorithm to carry out equilibrium, eliminate above-mentioned interference and noise according to comparative result.
According to a further aspect in the invention, a kind of interference and noise elimination apparatus are provided, have comprised: the sequence extraction module is used for from receiving the reception pilot frequency sequence that signal extracts the user; The space matrix module is used for drawing interference noise spatial character matrix according to reception pilot frequency sequence that extracts and local transmission pilot frequency sequence, and according to this interference noise spatial character matrix, confirms the relative ratio of interference and noise; Module is selected in judgement, is used for the interference of confirming and the relative ratio and the predetermined threshold of noise are compared, and selects corresponding equalization algorithm to carry out equilibrium according to comparative result, eliminates above-mentioned interference and noise.
Through the present invention; Employing is according to the scale of interference and noise; Select different interference noise removing methods to carry out balanced scheme, solved in the communication system under the situation of unknown disturbances size, robust ground a kind of equalization methods of employing carries out the system performance degradation problem that equilibrium causes; And then reach and improved the Cell Edge User communication characteristic, improved the effect of the throughput of Cell Center User to greatest extent.
Description of drawings
Accompanying drawing described herein is used to provide further understanding of the present invention, constitutes the application's a part, and illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute improper qualification of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart according to the interference of the embodiment of the invention and noise equalization method;
Fig. 2 is the pilot tone time domain continuous sequence structural representation according to the embodiment of the invention;
Fig. 3 is the interference of the instance according to the present invention and the flow chart of noise equalization method;
Fig. 4 is the structured flowchart according to the interference of the embodiment of the invention and noise equalization device;
Fig. 5 is the structured flowchart that disturbs according to the preferred embodiment of the invention with the noise equalization device.
Embodiment
Hereinafter will and combine embodiment to specify the present invention with reference to accompanying drawing.Need to prove that under the situation of not conflicting, embodiment and the characteristic among the embodiment among the application can make up each other.
Fig. 1 is the flow chart according to the interference of the embodiment of the invention and noise equalization method.As shown in Figure 1, comprise according to the interference and the noise equalization method of the embodiment of the invention:
Step S102 extracts user's reception pilot frequency sequence from receive signal;
Step S104 according to reception pilot frequency sequence that extracts and local transmission pilot frequency sequence, draws interference noise spatial character matrix;
Step S106 according to above-mentioned interference noise spatial character matrix, confirms the relative ratio of interference and noise;
Step S108 compares the interference of confirming and the relative ratio and the predetermined threshold of noise, selects corresponding equalization algorithm to carry out equilibrium according to comparative result, eliminates and disturbs and noise.
Said method; Utilized to disturb and suppressed folding, can select different interference noise cancellation schemes to carry out equilibrium according to the scale of interference and noise; Thereby can when improving the Cell Edge User communication characteristic, improve the throughput of Cell Center User to greatest extent.
In step S102, receive the data message that the user sends, can from receive signal, extract pilot frequency sequence according to the position of correspondence, as shown in Figure 2.
Preferably, among the step S108, select corresponding equalization algorithm to carry out equilibrium according to comparative result and may further include following processing:
(1) when disturbing relative ratio with noise, selects to have the inhibiting equalization algorithm of interference and carry out equilibrium more than or equal to predetermined threshold;
(2) when disturbing relative ratio with noise, select the equalization algorithm of elimination noise to carry out equilibrium less than predetermined threshold.
The relative ratio of interference and noise has reflected the difference of communications status; The explanation interference of minizone at this moment is comparatively serious when disturbing relative ratio with noise more than or equal to predetermined threshold; Therefore will adopt to have disturbs inhibiting equalization algorithm to carry out equilibrium; When explanation The noise this moment when disturbing relative ratio with noise less than predetermined threshold is comparatively serious, so to adopt equalization algorithm to carry out equilibrium except that noise.Above-mentioned predetermined threshold can be confirmed according to emulation statistics, also can be the result of field testing.
Preferably, step S104 may further include following processing:
(1) according to receiving pilot frequency sequence and sending pilot frequency sequence and carry out channel estimating, draws channel estimation value;
(2) according to above-mentioned channel estimation value, above-mentioned reception pilot frequency sequence and above-mentioned transmission pilot frequency sequence, obtain interference noise spatial character matrix.
In order to draw interference noise spatial character matrix, can finally obtain interference noise spatial character matrix according to channel estimation value, reception pilot frequency sequence and transmission pilot frequency sequence at first according to receiving pilot frequency sequence and sending pilot frequency sequence and carry out channel estimating.
Preferably, the method for carrying out channel estimating can comprise: least square method (Least Square abbreviates LS as), linear minimum mean-squared error method (Linearity Minimum Mean Square Error abbreviates LMMSE as), time domain noise reduction, frequency domain noise reduction.
In fact the operable channel estimation methods that carries out has a variety ofly, includes but not limited to said method.
Preferably, disturb inhibiting equalization algorithm to comprise above-mentioned having: least mean-square error (Minimum Mean Square Error abbreviates MMSE as); The equalization algorithm of above-mentioned elimination noise comprises: compel zero (Zero Forcing abbreviates ZF as), high specific merging (Maximum Ratio Combing abbreviates MRC as), MMSE.
In like manner, can include but not limited to above-mentioned algorithm with algorithm herein.
In sum, above-mentioned preferred embodiment can be summarized as:
The first step: receive the data message that the user sends, from receive signal, extract pilot frequency sequence according to correspondence position;
Second step: channel estimating, the pilot signal that utilization receives and the local pilot tone of transmission are carried out the channel estimating of this sub-district;
The 3rd step: the measurement of the space matrix of interference and noise, according to interference and the noise measured, obtain their spatial eigenmatrix;
The 4th step: according to the distribution character of interference and spatial noise matrix, calculate the relative ratio of interference and noise, and compare with threshold value;
The 5th step: adaptively selected equalization algorithm carries out equilibrium, eliminates and disturbs and noise.
Below in conjunction with instance and Fig. 3 above-mentioned preferred embodiment is elaborated.As shown in Figure 3, the interference of instance and noise equalization method may further comprise the steps according to the present invention:
Step 304 is carried out channel estimating according to reception pilot signal of extracting and the local pilot frequency sequence that sends, and channel estimation methods is not done qualification, can be LS, LMMSE, time domain noise reduction, and channel estimation methods such as frequency domain noise reduction are example with the time domain noise-reduction method below:
At first obtain the not channel estimating of noise reduction with the LS algorithm, formula is following:
H
p＝X
-1(k)·Y(k)
Carry out inverse fast fourier transform (Inverse Fast Fourier Transform abbreviates IFFT as) then, change to time domain and do noise reduction process h
p=IFFT (H
p), it is long to calculate window again, and through the windowing denoising, this cell channel that obtains behind the noise reduction is estimated
The computing formula of window length is following:
L
fore＝mL
c，L
post＝nL
c
L
ForeBe front window length, L
PostBe the length of rear window, N
UserBe that the targeted customer takies sub-carrier number, N
FftBe that fft counts, l
CPBe the length of Cyclic Prefix in the ofdm system, m and n are the proportionality coefficients that calculates front window and rear window length.Do FFT (Fast Fourier Transform abbreviates FFT as) conversion at last again, obtain the frequency domain channel impulse response
At first calculate and disturb and noise sequence:
Wherein, Y is the pilot frequency sequence that receives, comprising the information that the targeted customer sends, three of interfere information and noises.
is the channel estimation value at pilot tone place, the pilot frequency sequence that X sends for the targeted customer.NI is the interference noise sequence, then interference noise spatial character matrix R
nFor:
R
n＝NI*NI
H/N
Wherein, the subcarrier number of N for calculating.
Step 312; According to 304 channel estimation values that obtain, the spatial character matrix of 304 interference that obtain and noise with receive data and carry out equilibrium and eliminate and disturb and noise, it is following wherein to have the inhibiting balanced formula of interference; With MMSE is example, but is not limited to the MMSE algorithm:
The equalization algorithm of eliminating noise can be a criterion with ZF, MRC, MMSE etc., is example below with MMSE, and formula is following:
Fig. 4 is the structured flowchart according to the interference of the embodiment of the invention and noise equalization device.As shown in Figure 4, comprise according to the interference and the noise equalization device of the embodiment of the invention:
Space matrix module 44 is used for drawing interference noise spatial character matrix according to reception pilot frequency sequence that extracts and local transmission pilot frequency sequence, and according to this interference noise spatial character matrix, confirms the relative ratio of interference and noise;
Said apparatus; Utilized to disturb and suppressed folding; Can be according to the scale of interference and noise; Select different interference noise cancellation schemes to carry out equilibrium (being the adaptive equilibrium of carrying out), thereby can when improving the Cell Edge User communication characteristic, improve the throughput of Cell Center User to greatest extent.
Preferably, judgement selects module 46 may further include:
Decision unit 462 is used for the interference of confirming and the relative ratio and the predetermined threshold of noise are compared;
Disturb to suppress unit 464, be used for when disturbing relative ratio with noise, selecting to have the inhibiting equalization algorithm of interference and carrying out equilibrium more than or equal to predetermined threshold;
Noise removing unit 466 is used for when disturbing relative ratio with noise less than predetermined threshold, selecting the equalization algorithm of elimination noise to carry out equilibrium.
Can set up adaptive mechanism through above-mentioned module, selectively carry out equilibrium treatment according to the various network state.
Preferably, space matrix module 44 may further include:
Channel estimating unit 442 is used for drawing channel estimation value according to receiving pilot frequency sequence and sending pilot frequency sequence and carry out channel estimating;
Matrix calculation unit 444 is used for according to channel estimation value, receives pilot frequency sequence and send pilot frequency sequence, obtains interference noise spatial character matrix;
Ratio is confirmed unit 446, is used for according to interference noise spatial character matrix, confirms the relative ratio of interference and noise.
Drawing of interference noise spatial character matrix can be divided into two steps, and after channel estimating unit 442 drew channel estimation value, matrix calculation unit 444 can be obtained interference noise spatial character matrix on this basis.After drawing interference noise spatial character matrix, ratio is confirmed that unit 446 can be determined according to the distribution character of interference noise spatial character matrix and is disturbed and the relative ratio of noise.
In sum; The course of work of above-mentioned preferred embodiment may be summarized to be: at first sequence extraction module 42 extracts user's reception pilot frequency sequence according to the running time-frequency resource of correspondence; Channel estimating unit 442 is carried out channel estimating according to the pilot frequency sequence that receives and the pilot frequency sequence of known transmission then, and matrix calculation unit 444 is calculated the spatial character matrix of interference noise, and ratio is confirmed the distribution character of unit 446 according to this matrix; Calculate the relative ratio of interference and noise; To disturb relative ratio and thresholding with noise to compare through decision unit 462 then, last, disturb and suppress the comparative result that unit 464 and noise removing unit 466 obtain according to decision unit 462 again; Select suitable equalization algorithm to carry out equilibrium, eliminate and disturb and noise.
Preferably, channel estimating unit 442 method of carrying out channel estimating can comprise: least square method LS, linear minimum mean-squared error method LMMSE, time domain noise reduction, frequency domain noise reduction.
In fact channel estimating unit 442 is operable carries out channel estimation methods has a variety ofly, includes but not limited to said method.
Preferably, disturb inhibiting equalization algorithm to comprise above-mentioned having: least mean-square error (Minimum Mean Square Error abbreviates MMSE as); The equalization algorithm of above-mentioned elimination noise comprises: compel zero (Zero Forcing abbreviates ZF as), high specific merging (Maximum Ratio Combing abbreviates MRC as), MMSE.
In like manner, can include but not limited to above-mentioned algorithm with algorithm herein.
From above description; Can find out that the present invention has designed a kind of adaptive interference noise equalization scheme disturbing on the basis that suppresses folding; Not only the Cell Edge User communication characteristic can be improved, the throughput of Cell Center User can also be improved to greatest extent.
Obviously, it is apparent to those skilled in the art that above-mentioned each module of the present invention or each step can realize with the general calculation device; They can concentrate on the single calculation element; Perhaps be distributed on the network that a plurality of calculation element forms, alternatively, they can be realized with the executable program code of calculation element; Thereby; Can they be stored in the storage device and carry out, and in some cases, can carry out step shown or that describe with the order that is different from here by calculation element; Perhaps they are made into each integrated circuit modules respectively, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The above is merely the preferred embodiments of the present invention, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.All within spirit of the present invention and principle, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. one kind is disturbed and noise cancellation method, it is characterized in that, comprising:
From receive signal, extract user's reception pilot frequency sequence;
According to said reception pilot frequency sequence that extracts and local transmission pilot frequency sequence, draw interference noise spatial character matrix;
According to said interference noise spatial character matrix, confirm the relative ratio of interference and noise;
The said interference of confirming and the relative ratio and the predetermined threshold of noise are compared, select corresponding equalization algorithm to carry out equilibrium, eliminate said interference and noise according to comparative result.
2. method according to claim 1 is characterized in that, saidly selects corresponding equalization algorithm to carry out equilibrium according to comparative result to comprise:
, select to have and disturb inhibiting equalization algorithm to carry out equilibrium during at the relative ratio of said interference and noise more than or equal to said predetermined threshold;
During less than said predetermined threshold, the equalization algorithm of selecting to eliminate noise carries out equilibrium at the relative ratio of said interference and noise.
3. method according to claim 2 is characterized in that, said reception pilot frequency sequence that said basis is extracted and local transmission pilot frequency sequence draw interference noise spatial character matrix and comprise:
Carry out channel estimating according to said reception pilot frequency sequence and said transmission pilot frequency sequence, draw channel estimation value;
According to said channel estimation value, said reception pilot frequency sequence and said transmission pilot frequency sequence, obtain said interference noise spatial character matrix.
4. method according to claim 3 is characterized in that, the method for carrying out channel estimating comprises: least square method LS, linear minimum mean-squared error method LMMSE, time domain noise reduction, frequency domain noise reduction.
5. according to each described method of claim 2 to 4, it is characterized in that,
Disturb inhibiting equalization algorithm to comprise said having: least mean-square error MMSE;
The equalization algorithm of said elimination noise comprises: compel zero ZF, high specific merging MRC, least mean-square error MMSE.
6. one kind is disturbed and noise elimination apparatus, it is characterized in that, comprising:
The sequence extraction module is used for from receiving the reception pilot frequency sequence that signal extracts the user;
The space matrix module is used for drawing interference noise spatial character matrix according to said reception pilot frequency sequence that extracts and local transmission pilot frequency sequence, and according to said interference noise spatial character matrix, confirms the relative ratio of interference and noise;
Module is selected in judgement, is used for the said interference of confirming and the relative ratio and the predetermined threshold of noise are compared, and selects corresponding equalization algorithm to carry out equilibrium according to comparative result, eliminates said interference and noise.
7. device according to claim 6 is characterized in that, said judgement selects module to comprise:
Decision unit is used for the said interference of confirming and the relative ratio and the predetermined threshold of noise are compared;
Disturb to suppress the unit, when being used for relative ratio at said interference and noise, selecting to have the inhibiting equalization algorithm of interference and carry out equilibrium more than or equal to said predetermined threshold;
The noise removing unit, when being used for relative ratio at said interference and noise less than said predetermined threshold, the equalization algorithm of selecting to eliminate noise carries out equilibrium.
8. device according to claim 7 is characterized in that, said space matrix module comprises:
Channel estimating unit is used for carrying out channel estimating according to said reception pilot frequency sequence and said transmission pilot frequency sequence, draws channel estimation value;
Matrix calculation unit is used for obtaining said interference noise spatial character matrix according to said channel estimation value, said reception pilot frequency sequence and said transmission pilot frequency sequence;
Ratio is confirmed the unit, is used for according to said interference noise spatial character matrix, confirms the relative ratio of interference and noise.
9. device according to claim 8 is characterized in that, the method that said channel estimating unit is carried out channel estimating comprises: least square method LS, linear minimum mean-squared error method LMMSE, time domain noise reduction, frequency domain noise reduction.
10. according to each described device of claim 7 to 9, it is characterized in that,
Disturb inhibiting equalization algorithm to comprise said having: least mean-square error MMSE;
The equalization algorithm of said elimination noise comprises: compel zero ZF, high specific merging MRC, least mean-square error MMSE.
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| CN2011100370096A CN102638423A (en) | 2011-02-11 | 2011-02-11 | Interference and noise elimination method and device |
| PCT/CN2011/082348 WO2012106963A1 (en) | 2011-02-11 | 2011-11-17 | Method and device for eliminating interference and noise |
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| CN104852748A (en) * | 2014-02-14 | 2015-08-19 | 富士通株式会社 | Interference suppression device and method, and receiver |
| CN105099610A (en) * | 2014-05-16 | 2015-11-25 | 华为技术有限公司 | Signal processing method and apparatus |
| CN105530210A (en) * | 2014-10-17 | 2016-04-27 | 英特尔公司 | Communication device and method for processing a received signal |
| CN105577593A (en) * | 2016-01-18 | 2016-05-11 | 华南师范大学 | Non-decision-aided sub-symbol optical phase noise suppression method |
| CN105827274A (en) * | 2016-03-11 | 2016-08-03 | 中国科学院上海高等研究院 | Interference suppression method and system of wireless signal |
| CN106941389A (en) * | 2016-01-05 | 2017-07-11 | 中国移动通信集团公司 | A kind of interference elimination method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104852748A (en) * | 2014-02-14 | 2015-08-19 | 富士通株式会社 | Interference suppression device and method, and receiver |
| CN105099610A (en) * | 2014-05-16 | 2015-11-25 | 华为技术有限公司 | Signal processing method and apparatus |
| CN105099610B (en) * | 2014-05-16 | 2018-09-28 | 华为技术有限公司 | The method and device of signal processing |
| CN105530210A (en) * | 2014-10-17 | 2016-04-27 | 英特尔公司 | Communication device and method for processing a received signal |
| CN105530210B (en) * | 2014-10-17 | 2018-11-02 | 英特尔公司 | Communication equipment for handling the signal received and method |
| CN106941389A (en) * | 2016-01-05 | 2017-07-11 | 中国移动通信集团公司 | A kind of interference elimination method and device |
| CN106941389B (en) * | 2016-01-05 | 2019-06-25 | 中国移动通信集团公司 | A kind of interference elimination method and device |
| CN105577593A (en) * | 2016-01-18 | 2016-05-11 | 华南师范大学 | Non-decision-aided sub-symbol optical phase noise suppression method |
| CN105577593B (en) * | 2016-01-18 | 2018-12-25 | 华南师范大学 | A kind of sub-symbol light phase noise suppressing method based on non-decision-aided |
| CN105827274A (en) * | 2016-03-11 | 2016-08-03 | 中国科学院上海高等研究院 | Interference suppression method and system of wireless signal |
| CN105827274B (en) * | 2016-03-11 | 2018-06-29 | 中国科学院上海高等研究院 | The disturbance restraining method and system of a kind of wireless signal |
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| WO2012106963A1 (en) | 2012-08-16 |
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