CN105337685B - A kind of figure group detection method and its device - Google Patents
A kind of figure group detection method and its device Download PDFInfo
- Publication number
- CN105337685B CN105337685B CN201410364464.0A CN201410364464A CN105337685B CN 105337685 B CN105337685 B CN 105337685B CN 201410364464 A CN201410364464 A CN 201410364464A CN 105337685 B CN105337685 B CN 105337685B
- Authority
- CN
- China
- Prior art keywords
- information
- reliability
- feedback information
- mentioned
- prior information
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
Abstract
The embodiment of the invention discloses a kind of figures to dial detection method and its device, and wherein the realization of method includes: and performs the following operations in an iterative manner: received signal vector y and the second feedback informationAnd obtain the equivalent frequency domain channel estimate matrix H of each channel of received signal vector；According to the second feedback informationWith equivalent frequency domain channel estimate matrix H, signal vector y is demodulated to obtain log-likelihood ratio λ；Log-likelihood ratio λ is descrambled, obtains prior information after encoding block cascade and solution rate-matchedBased on maximum a posteriori criterion, to prior informationIt is decoded, obtains external information γ；Determine prior informationWhether met the requirements with the reliability of external information γ, if prior informationIt is unsatisfactory for requiring with the reliability of external information γ, then by the first feedback informationSet 0；To the first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, to obtain the second feedback informationThe computational complexity and processing delay of Turbo detection can be reduced.
Description
Technical field
The present invention relates to field of communication technology, in particular to a kind of figure dials detection method and its device.
Background technique
With the development of wireless broadband communication technology, requirement of the user to the performance of communication system is continuously improved.2004
Bottom, it is logical that the 3rd generation partner program (3rd Generation Partnership Project, 3GPP) has started General Mobile
Long term evolution (the Long of letter system (Universal Mobile Telecommunications System, UMTS) technology
Term Evolution, LTE) project.Multiple-input and multiple-output (Multiple-Input Multiple-Output, MIMO) and just
Handing over frequency division multiplexing (Orthogonal Frequency Division Multiplex, OFDM) is two skills of LTE most critical
Art.3GPP LTE main performance target includes: to be capable of providing the peak of downlink 100Mbps, uplink 50Mbps in 20MHz spectral bandwidth
Value rate (maximum can support downlink 3Gbps, the peak rate of uplink 150M)；Improve the performance of base station edge customer；Improve base
It stands capacity；System delay is reduced, unidirectional transmission time delay is lower than 5ms inside user plane, controls plane from sleep state to activation
The state transition time is lower than 50ms, and the transit time from resident state to state of activation is less than 100ms；Support 100km radius
Base station covering；Support pairs of or non-paired frequency spectrum, and flexibly configurable 1.25MHz to 20MHz various bandwidth.
LTE system realizes the transmission of multi-layer data by MIMO technology, obtains higher handling capacity with this.However, multilayer
Transmission can bring serious interlayer and inter-antenna interference, in order to overcome the problems, such as this, user equipment (User Equipment, UE) one
As can use certain linear disturbance elimination algorithm, such as least mean-square error (Minimum Mean Square Error, MMSE) calculate
Method.Since linear disturbance elimination algorithm inhibits the ability of interference limited, LTE system will consider to eliminate using the interference enhanced to calculate
Method, as Turbo (figure is dialled) detection and maximum likelihood (Maximum Likelihood, ML) detect scheduling algorithm.In fact, Turbo
Detecting opposite ML has better performance in middle low signal-to-noise ratio, and better performance experience can be provided to UE.However, Turbo is detected
In order to obtain preferable performance, computational complexity and processing delay are larger, it is difficult to the equipment being limited for complexity.
Summary of the invention
The embodiment of the invention provides a kind of figures to dial detection method and its device, for promoting the robustness of Turbo detection,
Reduce the computational complexity and processing delay of Turbo detection.
A kind of figure group detection method, comprising:
It performs the following operations in an iterative manner:
Received signal vector y and the second feedback informationAnd obtain the equivalent of each channel for receiving the signal vector
Channel estimation in frequency domain matrix H；
According to second feedback informationWith the equivalent frequency domain channel estimate matrix H, the signal vector y is carried out
Demodulation obtains log-likelihood ratio λ；
The log-likelihood ratio λ is descrambled, obtains prior information after encoding block cascade and solution rate-matched
Based on maximum a posteriori criterion, to the prior informationIt is decoded, obtains external information γ；
Determine the prior informationWhether met the requirements with the reliability of the external information γ, if the prior information
It is unsatisfactory for requiring with the reliability of the external information γ, then by the first feedback informationSet 0；
To first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, to obtain described second
Feedback information
A kind of figure group detection device, comprising:
Decoding unit, for received signal vector y and the second feedback information from the second processing unitAnd it obtains and connects
Receive the equivalent frequency domain channel estimate matrix H of each channel of the signal vector；According to second feedback informationWith it is described
Equivalent frequency domain channel estimate matrix H is demodulated to obtain log-likelihood ratio λ to the signal vector y；
First processing units, for descrambling to the log-likelihood ratio λ, after encoding block cascade and solution rate-matched
To prior information
Decoding unit, for being based on maximum a posteriori criterion, the prior information obtained to the first processing unitsIt is translated
Code, obtains external information γ；
Reliability determination unit, for determining the prior informationIt is wanted with whether the reliability of the external information γ meets
It asks；
Feedback information processing unit, if determining prior information for the reliability determination unitWith the external information γ
Reliability be unsatisfactory for requiring, then by the first feedback informationSet 0；
Above-mentioned the second processing unit, the first feedback information for being obtained to the feedback information processing unitCarry out speed
Rate matching, encoding block cascade and scrambling processing, to obtain second feedback information
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that dials in detection process in figure, filters
Reliability is unsatisfactory for desired prior informationWith the external information γ, the first feedback information that will be used to demodulate0 is set, is indicated
Any prior information demodulation module is not passed to.To avoid the first feedback informationThe part of middle inaccuracy is to demodulation module
Influence, increase the reliability of each cyclical information, can be reduced in the case where guaranteeing Turbo detection effect Turbo detection
The number of iterations, therefore above scheme improves the robustness of Turbo detection, multiple so as to the operation that reduces Turbo detection
Miscellaneous degree and processing delay.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without any creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is Turbo of embodiment of the present invention structure of the detecting device schematic diagram；
Fig. 2 is present invention method flow diagram；
Fig. 3 is Turbo of embodiment of the present invention structure of the detecting device schematic diagram；
Fig. 4 is present invention method flow diagram；
Fig. 5 is Turbo of embodiment of the present invention structure of the detecting device schematic diagram；
Fig. 6 is Turbo of embodiment of the present invention structure of the detecting device schematic diagram；
Fig. 7 is Turbo of embodiment of the present invention structure of the detecting device schematic diagram.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that the described embodiments are only some of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
The reason high for Turbo detection complexity, inventor have carried out detailed be analyzed as follows:
In LTE MIMO-OFDM system, it is assumed that it is N that UE, which is flanked and received antenna number, respectively indicates some money with x, y and H
The transmitting symbolic vector of source unit (Resource Element, RE), (received vector is received vector in embodiments of the present invention
The N-dimensional received vector that the signal of N number of antenna is constituted) and equivalent frequency domain channel estimate matrix, then channel model can indicate are as follows:
Y=Hx+n (1)
Wherein assume that n is N-dimensional additive white Gaussian noise vector (mean value is that 0 covariance matrix is σ 2I)；X be M dimension column to
Amount (M indicates the total number of plies of transmitting symbol), i.e. x=[x1,x2,…,xM]T。
Turbo detection device is as shown in Figure 1, demodulation module and decoding module are linked together by way of iteration, i.e.,
Demodulation operation is carried out first, is then carried out decoded operation (decoded internal iteration D times), is carried out second of demodulation operation again later,
And second of decoded operation (decoded internal same iteration D times), so go down, until finishing the L times demodulation decoding.L
It is called the number of iterations of Turbo detection.
Wherein, the H and y outside demodulation module reception, H come from channel estimation；Demodulation module include MIMO detection and it is soft
It demodulates (constellation point demapping), bit soft value, i.e. log-likelihood ratio (Log-Likelihood is calculated in demodulation module
Ratio,LLR).Use bj,iIndicate symbol x to be estimatedjCorresponding i-th of bit, then its corresponding LLR can be written as:
The right first item in above formula (2)For the posterior information that demodulation module obtains, second
?LLR (the external information γ returned for decoding modulej,iBy rate-matched, encoding block (Coded Block, CB) cascade and
Scrambling obtainsWherein external information γj,iIt is obtained by following (3) formula).When first demodulation, Section 2It is 0, indicates do not have
There is any prior information, because there are no did decoding, no prior information at this time.
Decoding module uses maximum a posteriori criterion, and the LLR of output can be expressed as (corresponding i-th of bit of jth layer symbol
bj,i)
Wherein, first itemIt, can be by different calculations for the posterior information that decoding module obtains
Method obtains, as BCJR (Bahl, Cocke, Jelinek, Raviv, it is a kind of on grid chart be used to maximize Error Correction of Coding after
Test the algorithm of probability) algorithm, the final testing result of Turbo receiver obtained by this hard decision.Section 2For solution
Mode transfer block exports LLR (λj,iIt is obtained by descrambling, CB solution cascade reconciliation rate-matched)。
In order to guarantee the performance of Turbo receiver, the number of iterations needs of usual Turbo detection are bigger, such as L=5；
On the other hand, the inner iteration number of decoding is usually also required to bigger, such as D=8.For the UE that complexity is limited, on
It is unacceptable for stating the larger brought complexity (usually power consumption and time delay) of L and D value.The embodiment of the present invention will provide
In the case where guaranteeing Turbo detection performance, the scheme of the value of L and/or D can be reduced, to reduce answering for Turbo detection
Miscellaneous degree.
The embodiment of the invention provides a kind of figures to dial detection method, as shown in Figure 2, comprising:
The operation of each step shown in Fig. 2 is executed in an iterative manner:
201: received signal vector y and the second feedback informationAnd obtain each channel for receiving above-mentioned signal vector
Equivalent frequency domain channel estimate matrix H；
Assuming that the receiving antenna number of the equipment of Turbo detection side is N, then received vector is the signal of N number of antenna
The N-dimensional received vector of composition.
202: according to above-mentioned second feedback informationWith above-mentioned equivalent frequency domain channel estimate matrix H, to above-mentioned signal vector y
It is demodulated to obtain log-likelihood ratio λ；
More specifically, according to above-mentioned second feedback information in this stepIt is right with above-mentioned equivalent frequency domain channel estimate matrix H
Above-mentioned signal vector y is demodulated to obtain log-likelihood ratio λ, comprising: according to above-mentioned equivalent frequency domain channel estimate matrix H to above-mentioned
Signal vector y carries out maximum likelihood ratio detection, the result obtained using detection and above-mentioned second feedback informationIt is soft demodulated,
Obtain above-mentioned log-likelihood ratio λ.
203: above-mentioned log-likelihood ratio λ being descrambled, obtains prior information after encoding block cascade and solution rate-matched
204: maximum a posteriori criterion is based on, to above-mentioned prior informationIt is decoded, obtains external information γ；
Testing result can be also obtained during the decoding of step 204, the scheme of the embodiment of the present invention is not related to the detection
As a result, therefore not being described in more detail.
205: determining above-mentioned prior informationWhether met the requirements with the reliability of above-mentioned external information γ, if above-mentioned priori is believed
BreathIt is unsatisfactory for requiring with the reliability of above-mentioned external information γ, then by the first feedback informationSet 0；
206: to above-mentioned first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, it is above-mentioned to obtain
Second feedback informationThis step 206 obtains the second feedback informationSecond feedback information afterwardsStep 201 can be passed to hold
The iteration of row next time.Specific the number of iterations can be pre-set, be also possible to determining that testing result conforms to
Stop iteration after asking.The concrete mode embodiment of the present invention for how controlling the number of iterations not limits.
Above embodiments filter reliability and are unsatisfactory for desired prior information in Turbo detection processOutside above-mentioned
Information γ, the first feedback information that will be used to demodulate0 is set, any prior information is not passed to demodulation module by expression.To keep away
Exempt from the first feedback informationInfluence of the part of middle inaccuracy to demodulation module, increases the reliability of each cyclical information, is guaranteeing
The number of iterations of Turbo detection can be reduced in the case where Turbo detection effect, therefore above scheme improves Turbo detection
Robustness, so as to reduce Turbo detection computational complexity and processing delay.
Above embodiments can filter reliability and be unsatisfactory for desired prior informationWith above-mentioned external information γ, present invention reality
It applies example and additionally provides the scheme that can further promote Turbo detection efficiency, specific as follows:
If above-mentioned prior informationIt meets the requirements, then passes through with the reliability of above-mentioned external information γRespectively to above-mentioned prior informationMeter is weighted with above-mentioned external information γ
It calculates, obtains above-mentioned first feedback informationWherein, α(n)、β(n)、WithBy inquiring preset Modulation and Coding Scheme MCS
It obtains, n is current the number of iterations；
Then to above-mentioned first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, it is above-mentioned to obtain
Second feedback information
Optionally, the embodiment of the invention also provides how to determine above-mentioned prior informationIt is reliable with above-mentioned external information γ
Property the specific implementation that whether meets the requirements, it should be noted that those skilled in the art can determine according to other modes
Above-mentioned prior informationWith the reliability of above-mentioned external information γ, it is thus determined that the mode of reliability is also not limited to the present embodiment
The citing of the mode provided, the conveniently judgment mode of the present embodiment provide one should not be construed as to the embodiment of the present invention
Uniqueness limit, it is specific as follows: the above-mentioned above-mentioned prior information of determinationIt is wanted with whether the reliability of above-mentioned external information γ meets
It asks, comprising:
Calculate above-mentioned prior informationWith the absolute value of the sum of above-mentioned external information γ, and by above-mentioned absolute value and preset door
Limit value Τ is compared；
If above-mentioned absolute value is less than above-mentioned threshold value Τ, above-mentioned prior informationIt is full with the reliability of above-mentioned external information γ
Foot requires；
If above-mentioned absolute value is greater than above-mentioned threshold value Τ, above-mentioned prior informationNot with the reliability of above-mentioned external information γ
It meets the requirements；
If above-mentioned absolute value, which is equal to above-mentioned threshold value Τ, determines above-mentioned prior information according to default ruleWith it is above-mentioned
The reliability of external information γ is met the requirements, alternatively, above-mentioned prior informationIt is unsatisfactory for requiring with the reliability of above-mentioned external information γ；
Wherein, above-mentioned threshold value Τ is obtained by inquiring above-mentioned Modulation and Coding Scheme MCS.
Threshold T in the present embodiment can be determined by way of off-line simulation, during off-line simulation, by thresholding
Value T detects the encoder bit rate of targeted data with Turbo and order of modulation is associated with and carries out off-line simulation.After determining T value,
Threshold value Τ is stored in and is used to inquire in table.
Preferably, in embodiments of the present invention, above-mentioned α(n)And β(n)Value and current the number of iterations n be positively correlated.
In embodiments of the present invention, the number of iterations more rearward, can be more reliable therefore be come using biggish treatment factors by information
The use for increasing the information of high reliablity can reduce the iteration time of Turbo detection in the case where guaranteeing Turbo detection effect
Number, therefore above scheme further improves the robustness of Turbo detection, so as to reduce the operation complexity of Turbo detection
Degree and processing delay.
Above embodiments have used two groups for the treatment of factors, wherein α(n)And β(n)It can be the linear process factor,With
It can be the Nonlinear Processing factor.It is the division of linear treatment factors and nonlinear treatment factors by treatment factors, it can
So that feedback information is more efficient.What other weighted calculation modes also can be achieved on, meter used by the embodiment of the present invention
Calculation mode should not be construed as limiting the uniqueness of the embodiment of the present invention as a preferable examples.
For the above treatment factors α(n)、β(n)、WithIt can be preset by technical staff, be implemented in the present invention
In example, treatment factors α(n)、β(n)、WithIt can be determined by way of off-line simulation, it, will during off-line simulation
Treatment factors α(n)、β(n)、WithDetect the encoder bit rate of targeted data with Turbo and order of modulation be associated with progress from
Line emulation.Determining treatment factors α(n)、β(n)、WithAfter, by treatment factors α(n)、β(n)、WithIt is stored in table
For inquiring in lattice.
In order in the case where guaranteeing Turbo receiver performance, reduce decoding inner iteration number (i.e. each iterative process
In, to above-mentioned prior informationThe decoding number decoded) D value, the embodiment of the present invention also propose using in non-equilibrium repeatedly
The scheme of generation number, i.e., the inner iteration number decoded every time is different, uses DnIt indicates.Under normal conditions, decoding number should follow
Preceding few rear more principle.Work as DnValue is 0, indicates that current iteration does not decode, intermediate Reinforced turf, CB cascade, rate-matched
Equal operations do not need to do yet, and the LLR for demodulating needs directly directly can feed back to demodulation module from demodulation module.Specifically such as
Under: it is above-mentioned to above-mentioned prior informationThe decoding number and current the number of iterations n decoded is positively correlated.
For decoding the value of inner iteration number above, can be preset by technical staff, in embodiments of the present invention,
Inner iteration number can be determined by way of off-line simulation, and during off-line simulation, inner iteration number and Turbo are detected
Encoder bit rate and the order of modulation association of targeted data carry out off-line simulation.After determining inner iteration number, interior it will change
Generation number is stored in table for inquiring.
Following embodiment will be illustrated with regard to the specific implementation of the embodiment of the present invention, respectively with regard to how to reduce L
Illustrated respectively with D is reduced.
Turbo detection technique be can be seen that from the discussion before present specification specific embodiment Fig. 2 in order to guarantee it
The number of iterations of performance, detection is very big, such as L=5；In addition, the inner iteration number of decoding is also very much, such as D=9.In this way
Complexity the side UE realize be highly difficult.The embodiment of the present invention is excessive by the value for solving L and D, and complexity is excessively high to ask
Topic.The scheme of the embodiment of the present invention can substantially reduce the value of L and D under the premise of guaranteeing the performance of Turbo receiver.
The embodiment of the present invention for reducing L and reducing D proposition solution, will be described in detail separately below respectively.
One,
In the case where for the number of iterations L value detected in Turbo smaller (such as L=2 or L=3), guarantee receiver
Performance.As shown in figure 3, the difference with Fig. 1 is only that: the information of demodulation module input is decoding prior information and external information warp
Processing is crossed to obtain, it will be it ensure that more fully utilizing the feedback letter that decoding provides every time in the lesser situation of L value
Breath, guarantees the performance of receiver.
Message processing module in Fig. 3 includes two generic operations, is described separately below.
Operation one: the influence in order to avoid part inaccurate in decoding feedback information to demodulation module needs to identify
Insecure information.Specific criterion are as follows: work as satisfaction
When, it is believed that log-likelihood ratio (Log-Likelihood Ratio, LLR) unreliable information (i.e. LLR absolute value
It is lesser to think unreliable), corresponding feedback information is set to 0.In other words, when the prior information of decoding and external information and
Absolute value is smaller, it is believed that its is unreliable by LLR.Feedback information is set to 0, any prior information is not passed to solution by expression
Mode transfer block.Particularly, when decoding prior information and opposite outer information symbol, above-mentioned absolute value is usually smaller, this explanation
When the judgement of demodulation decoding is completely opposite, it is unreliable that we also will be considered that.This special case also indicates that above-mentioned criterion is to compare
Reasonably.For being unsatisfactory for the LLR of (4) formula, we are without any processing herein.
Above-mentioned thresholding T is related with the code rate and order of modulation of coding, can first pass through off-line simulation in advance and determine.It executes
When Turbo is detected, can first it be found according to current Modulation and Coding Scheme (Modulation CodingScheme, MCS)
Corresponding T, then redos one.
Operation two: for operation one, processed LLR, operation two are no longer further processed；Other LLR do following place
Reason:
Wherein, α(i)And β(i)It is the linear process factor, n indicates nth iteration, and (i.e. each iteration coefficient is different, usual feelings
Condition n is bigger, and linear factor is bigger, this is because the number of iterations is more rearward, information is more reliable), the purpose for the arrangement is that control is first
Information and external information are tested in the weight of feedback information, guarantees the quality of feedback information, because of the effect of prior information and external information
It is different.It isIt is the Nonlinear Processing factor, it is therefore an objective to different processing be done to different LLR sizes, because of value
Biggish LLR information and the lesser LLR information of value are different the contribution of feedback information.Likewise,It isWith work as
Before be which time iteration is related.
The value of aforementioned four treatment factors is related with the code rate of coding and order of modulation, can first pass through off-line simulation in advance
It determines.When executing Turbo detection, corresponding treatment factors are first found according to MCS, then redo two.
To sum up, for the scheme of reduction L, the operating process of message processing module is as shown in Figure 4.
401: obtaining the first feedback information(prior information of decoding) and external information；
402: being tabled look-up the thresholding T in acquisition (4) formula and 4 treatment factors in (5) formula according to MCS；
403: insecure information being set 0 according to (4) formula；
404: not setting 0 information according to the processing of (5) formula.
Two,
In order in the case where guaranteeing Turbo receiver performance, reduce the value of decoding inner iteration number D, the present invention is real
It applies example to propose to use the scheme of non-equilibrium inner iteration number, i.e., the inner iteration number decoded every time is different, uses DnIt indicates.Usual feelings
Under condition, more principle after decoding number is few before should following.Work as DnValue is 0, indicates that current iteration does not decode, and intermediate adds
The operations such as descrambling, the cascade of CB block, rate-matched do not need to do yet, and the LLR for demodulating needs can be directly directly anti-from demodulation module
It is fed back to demodulation module.
Above-mentioned DnValue it is related with the code rate and order of modulation of coding, can first pass through in advance off-line simulation determine.It executes
When Turbo is detected, corresponding D first can be found according to MCSn, inner iteration is then executed again.
For example, when MCS=25, D under L=2nValue is { 3,6 }, i.e., decodes 3 inner iterations, second of decoding 6 for the first time
Secondary inner iteration；D under L=3iValue be { 0,3,6 }, i.e., for the first time do not decode, after twice inner iteration number be 3 and 6.
From above embodiment as can be seen that under the premise of keeping receiver performance to be basically unchanged, the embodiment of the present invention
The scheme of proposition can substantially reduce the complexity that UE realizes Turbo detection.Specifically, the act relative to the embodiment of the present invention
The number of iterations that Turbo is detected for example is usually L=5, and decoding inner iteration number is usually D=9, the embodiment of the present invention
Method can at least reduce the value of L and D half, and the processing power consumption and time delay of UE Turbo detection greatly reduce.
The receiver of the embodiment of the present invention can be generalized to other communication systems, such as GSM (Group Special Mobile
Communication, global system for mobile communications), TDS-CDMA (Time Division-Synchronous Code
Division Multiple Access, Time Division-Synchronous Code Division Multiple Access), WCDMA (Wideband Code Division
Multiple Access, wideband code division multiple access), CDMA2000 (Code Division Multiple Access 2000, code
Divide multiple access 2000) etc..In addition, the reception machine frame of the embodiment of the present invention can not merely eliminate interlayer interference, can also use
To eliminate various types of interference such as inter-cell interference, inter-user interference, intersymbol interference, inter-sub-carrier interference.
The embodiment of the invention also provides a kind of figures to dial detection device, as shown in figure 5, direction shown in arrow is in Fig. 5
Data flow, comprising:
Decoding unit 501, for received signal vector y and from second feedback information of the second processing unit 506And
Obtain the equivalent frequency domain channel estimate matrix H for receiving each channel of above-mentioned signal vector；According to above-mentioned second feedback information
With above-mentioned equivalent frequency domain channel estimate matrix H, above-mentioned signal vector y is demodulated to obtain log-likelihood ratio λ；
First processing units 502, for descrambling to above-mentioned log-likelihood ratio λ, encoding block cascade and solution rate-matched
After obtain prior information
Decoding unit 503, for being based on maximum a posteriori criterion, the prior information obtained to above-mentioned first processing units 502
It is decoded, obtains external information γ；
Reliability determination unit 504, for determining above-mentioned prior informationWhether meet with the reliability of above-mentioned external information γ
It is required that；
Feedback information processing unit 505, if determining prior information for above-mentioned reliability determination unit 504Outside above-mentioned
The reliability of information γ is unsatisfactory for requiring, then by the first feedback informationSet 0；
Above-mentioned the second processing unit 506, the first feedback information for being obtained to above-mentioned feedback information processing unit 505
Rate-matched, encoding block cascade and scrambling processing are carried out, to obtain above-mentioned second feedback information
Above embodiments filter reliability and are unsatisfactory for desired prior information in Turbo detection processOutside above-mentioned
Information γ, the first feedback information that will be used to demodulate0 is set, any prior information is not passed to demodulation module by expression.To keep away
Exempt from the first feedback informationInfluence of the part of middle inaccuracy to demodulation module, increases the reliability of each cyclical information, is guaranteeing
The number of iterations of Turbo detection can be reduced in the case where Turbo detection effect, therefore above scheme improves Turbo detection
Robustness, so as to reduce Turbo detection computational complexity and processing delay.
Above embodiments can filter reliability and be unsatisfactory for desired prior informationWith above-mentioned external information γ, present invention reality
It applies example and additionally provides the scheme that can further promote Turbo detection efficiency, it is specific as follows: above-mentioned feedback information processing unit
505, if being also used to above-mentioned reliability determination unit 504 determines prior informationIt is wanted with the reliability satisfaction of above-mentioned external information γ
It asks, then passes throughRespectively to above-mentioned prior informationWith above-mentioned external information γ into
Row weighted calculation obtains above-mentioned first feedback informationWherein, α(n)、β(n)、WithIt is that above-mentioned figure dials detection by inquiry
The preset Modulation and Coding Scheme MCS of device is obtained, and n is current the number of iterations.
Optionally, the embodiment of the invention also provides how to determine above-mentioned prior informationIt is reliable with above-mentioned external information γ
Property the specific implementation that whether meets the requirements, it should be noted that those skilled in the art can determine according to other modes
Above-mentioned prior informationWith the reliability of above-mentioned external information γ, it is thus determined that the mode of reliability is also not limited to the present embodiment
The citing of the mode provided, the conveniently judgment mode of the present embodiment provide one should not be construed as to the embodiment of the present invention
Uniqueness limit, it is specific as follows: as shown in fig. 6, above-mentioned reliability determination unit 504 includes:
Absolute value calculation unit 601, for calculating above-mentioned prior informationWith the absolute value of the sum of above-mentioned external information γ；
Reliability determines subelement 602, for above-mentioned absolute value to be compared with preset threshold value Τ；
If above-mentioned absolute value is less than above-mentioned threshold value Τ, above-mentioned prior informationIt is full with the reliability of above-mentioned external information γ
Foot requires；
If above-mentioned absolute value is greater than above-mentioned threshold value Τ, above-mentioned prior informationNot with the reliability of above-mentioned external information γ
It meets the requirements；
If above-mentioned absolute value, which is equal to above-mentioned threshold value Τ, determines above-mentioned prior information according to default ruleWith it is above-mentioned
The reliability of external information γ is met the requirements, alternatively, above-mentioned prior informationIt is unsatisfactory for requiring with the reliability of above-mentioned external information γ；
Wherein, above-mentioned threshold value Τ is obtained by inquiring above-mentioned Modulation and Coding Scheme MCS.
Threshold T in the present embodiment can be determined by way of off-line simulation, during off-line simulation, by thresholding
Value T detects the encoder bit rate of targeted data with Turbo and order of modulation is associated with and carries out off-line simulation.After determining T value,
Threshold value Τ is stored in and is used to inquire in table.
Preferably, above-mentioned α(n)、β(n)Value and current the number of iterations n be positively correlated.
In embodiments of the present invention, the number of iterations more rearward, can be more reliable therefore be come using biggish treatment factors by information
The use for increasing the information of high reliablity can reduce the iteration time of Turbo detection in the case where guaranteeing Turbo detection effect
Number, therefore above scheme further improves the robustness of Turbo detection, so as to reduce the operation complexity of Turbo detection
Degree and processing delay.
Above embodiments have used two groups for the treatment of factors, wherein α(n)And β(n)It can be the linear process factor,With
It can be the Nonlinear Processing factor.It is the division of linear treatment factors and nonlinear treatment factors by treatment factors, it can
So that feedback information is more efficient.What other weighted calculation modes also can be achieved on, meter used by the embodiment of the present invention
Calculation mode should not be construed as limiting the uniqueness of the embodiment of the present invention as a preferable examples.
For the above treatment factors α(n)、β(n)、WithIt can be preset by technical staff, be implemented in the present invention
In example, treatment factors α(n)、β(n)、WithIt can be determined by way of off-line simulation, it, will during off-line simulation
Treatment factors α(n)、β(n)、WithDetect the encoder bit rate of targeted data with Turbo and order of modulation be associated with progress from
Line emulation.Determining treatment factors α(n)、β(n)、WithAfter, by treatment factors α(n)、β(n)、WithIt is stored in table
For inquiring in lattice.
More specifically, the embodiment of the invention also provides how to obtain logarithm to feel relieved the specific implementation of ratio, it is as follows: on
Decoding unit 501 is stated, for carrying out maximum likelihood ratio to above-mentioned signal vector y according to above-mentioned equivalent frequency domain channel estimate matrix H
Detection, the result obtained using detection and above-mentioned second feedback informationIt is soft demodulated, obtains above-mentioned log-likelihood ratio λ.
In order in the case where guaranteeing Turbo receiver performance, reduce decoding inner iteration number (i.e. each iterative process
In, to above-mentioned prior informationThe decoding number decoded) D value, the embodiment of the present invention also propose using in non-equilibrium repeatedly
The scheme of generation number, i.e., the inner iteration number decoded every time is different, uses DnIt indicates.Under normal conditions, decoding number should follow
Preceding few rear more principle.Work as DnValue is 0, indicates that current iteration does not decode, intermediate Reinforced turf, CB cascade, rate-matched
Equal operations do not need to do yet, and the LLR for demodulating needs directly directly can feed back to demodulation module from demodulation module.Specifically such as
Under:
Above-mentioned decoding unit 503 is to above-mentioned prior informationThe decoding number and current the number of iterations n positive decoded
It closes.
The embodiment of the invention also provides another Turbo detection devices, as shown in fig. 7, comprises: receiver 701, transmitting
Device 702, processor 703, memory 704 and decoder 705；
Wherein, processor 703 for performing the following operations in an iterative manner: received signal vector y and the second feedback letter
BreathAnd obtain the equivalent frequency domain channel estimate matrix H for receiving each channel of above-mentioned signal vector；According to above-mentioned second feedback
InformationWith above-mentioned equivalent frequency domain channel estimate matrix H, above-mentioned signal vector y is demodulated to obtain log-likelihood ratio λ；To upper
It states log-likelihood ratio λ to be descrambled, obtains prior information after encoding block cascade and solution rate-matchedBy prior informationIt sends
To above-mentioned decoder 705；The external information γ that receiver decoder 705 returns；Determine above-mentioned prior informationWith above-mentioned external information γ's
Whether reliability meets the requirements, if above-mentioned prior informationIt is unsatisfactory for requiring with the reliability of above-mentioned external information γ, then by first
Feedback informationSet 0；To above-mentioned first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, on obtaining
State the second feedback information
Decoder 705, for receiving the prior information from processor 703Based on maximum a posteriori criterion, to above-mentioned elder generation
Test informationIt is decoded, obtains external information γ；And it is sent to processor 703.
Testing result can be also obtained during the decoding of decoder 705, the scheme of the embodiment of the present invention is not related to the detection
As a result, therefore not being described in more detail.
Above embodiments filter reliability and are unsatisfactory for desired prior information in Turbo detection processOutside above-mentioned
Information γ, the first feedback information that will be used to demodulate0 is set, any prior information is not passed to demodulation module by expression.To keep away
Exempt from the first feedback informationInfluence of the part of middle inaccuracy to demodulation module, increases the reliability of each cyclical information, is guaranteeing
The number of iterations of Turbo detection can be reduced in the case where Turbo detection effect, therefore above scheme improves Turbo detection
Robustness, so as to reduce Turbo detection computational complexity and processing delay.
More specifically, above-mentioned processor 703 is used for according to the second feedback informationWith above-mentioned equivalent frequency domain channel estimation square
Battle array H, is demodulated to obtain log-likelihood ratio λ, comprising: according to above-mentioned equivalent frequency domain channel estimate matrix H to above-mentioned signal vector y
Maximum likelihood ratio detection is carried out to above-mentioned signal vector y, the result obtained using detection and above-mentioned second feedback informationIt carries out
Soft demodulation obtains above-mentioned log-likelihood ratio λ.
Above embodiments can filter reliability and be unsatisfactory for desired prior informationWith above-mentioned external information γ, present invention reality
It applies example and additionally provides the scheme that can further promote Turbo detection efficiency, specific as follows: processor 703 is with the side of iteration
During formula executes operation, if above-mentioned prior informationIt meets the requirements, then passes through with the reliability of above-mentioned external information γRespectively to above-mentioned prior informationMeter is weighted with above-mentioned external information γ
It calculates, obtains above-mentioned first feedback informationWherein, α(n)、β(n)、WithIt is that above-mentioned Turbo detection device is pre- by inquiry
If Modulation and Coding Scheme MCS obtain, n be current the number of iterations；
Then to above-mentioned first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, it is above-mentioned to obtain
Second feedback information
Optionally, the embodiment of the invention also provides how to determine above-mentioned prior informationIt is reliable with above-mentioned external information γ
Property the specific implementation that whether meets the requirements, it should be noted that those skilled in the art can determine according to other modes
Above-mentioned prior informationWith the reliability of above-mentioned external information γ, it is thus determined that the mode of reliability is also not limited to the present embodiment
The citing of the mode provided, the conveniently judgment mode of the present embodiment provide one should not be construed as to the embodiment of the present invention
Uniqueness limit, specific as follows: above-mentioned processor 703 is for determining above-mentioned prior informationIt is reliable with above-mentioned external information γ
Whether property meets the requirements, comprising: calculates above-mentioned prior informationWith the absolute value of the sum of above-mentioned external information γ, and will it is above-mentioned absolutely
Value is compared with preset threshold value Τ；
If above-mentioned absolute value is less than above-mentioned threshold value Τ, above-mentioned prior informationIt is full with the reliability of above-mentioned external information γ
Foot requires；
If above-mentioned absolute value is greater than above-mentioned threshold value Τ, above-mentioned prior informationNot with the reliability of above-mentioned external information γ
It meets the requirements；
If above-mentioned absolute value, which is equal to above-mentioned threshold value Τ, determines above-mentioned prior information according to default ruleWith it is above-mentioned
The reliability of external information γ is met the requirements, alternatively, above-mentioned prior informationIt is unsatisfactory for requiring with the reliability of above-mentioned external information γ；
Wherein, above-mentioned threshold value Τ is obtained by inquiring above-mentioned Modulation and Coding Scheme MCS.
Threshold T in the present embodiment can be determined by way of off-line simulation, during off-line simulation, by thresholding
Value T detects the encoder bit rate of targeted data with Turbo and order of modulation is associated with and carries out off-line simulation.After determining T value,
Threshold value Τ is stored in and is used to inquire in table.
Preferably, in embodiments of the present invention, above-mentioned α(n)And β(n)Value and current the number of iterations n be positively correlated.
In embodiments of the present invention, the number of iterations more rearward, can be more reliable therefore be come using biggish treatment factors by information
The use for increasing the information of high reliablity can reduce the iteration time of Turbo detection in the case where guaranteeing Turbo detection effect
Number, therefore above scheme further improves the robustness of Turbo detection, so as to reduce the operation complexity of Turbo detection
Degree and processing delay.
Above embodiments have used two groups for the treatment of factors, wherein α(n)And β(n)It can be the linear process factor,With
It can be the Nonlinear Processing factor.It is the division of linear treatment factors and nonlinear treatment factors by treatment factors, it can
So that feedback information is more efficient.What other weighted calculation modes also can be achieved on, meter used by the embodiment of the present invention
Calculation mode should not be construed as limiting the uniqueness of the embodiment of the present invention as a preferable examples.
For the above treatment factors α(n)、β(n)、WithIt can be preset by technical staff, be implemented in the present invention
In example, treatment factors α(n)、β(n)、WithIt can be determined by way of off-line simulation, it, will during off-line simulation
Treatment factors α(n)、β(n)、WithDetect the encoder bit rate of targeted data with Turbo and order of modulation be associated with progress from
Line emulation.Determining treatment factors α(n)、β(n)、WithAfter, by treatment factors α(n)、β(n)、WithIt is stored in table
For inquiring in lattice.
In order in the case where guaranteeing Turbo receiver performance, reduce decoding inner iteration number (i.e. each iterative process
In, to above-mentioned prior informationThe decoding number decoded) D value, the embodiment of the present invention also propose using in non-equilibrium repeatedly
The scheme of generation number, i.e., the inner iteration number decoded every time is different, uses DnIt indicates.Under normal conditions, decoding number should follow
Preceding few rear more principle.Work as DnValue is 0, indicates that current iteration does not decode, intermediate Reinforced turf, CB cascade, rate-matched
Equal operations do not need to do yet, and the LLR for demodulating needs directly directly can feed back to demodulation module from demodulation module.Specifically such as
Under: above-mentioned processor 703 is to above-mentioned prior informationThe decoding number and current the number of iterations n decoded is positively correlated.
For decoding the value of inner iteration number above, can be preset by technical staff, in embodiments of the present invention,
Inner iteration number can be determined by way of off-line simulation, and during off-line simulation, inner iteration number and Turbo are detected
Encoder bit rate and the order of modulation association of targeted data carry out off-line simulation.After determining inner iteration number, interior it will change
Generation number is stored in table for inquiring.
It is worth noting that, included each unit is in above-mentioned Turbo structure of the detecting device schematic diagram embodiment
It is divided according to the functional logic, but is not limited to the above division, as long as corresponding functions can be realized；Separately
Outside, the specific name of each functional unit is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
In addition, those of ordinary skill in the art will appreciate that realizing all or part of the steps in above-mentioned each method embodiment
It is that relevant hardware can be instructed to complete by program, corresponding program can store in a kind of computer readable storage medium
In, storage medium mentioned above can be read-only memory, disk or CD etc..
The above is only the preferable specific embodiments of the present invention, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art the variation that can readily occur in or replaces in the technical scope that the embodiment of the present invention discloses
It changes, should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claim
Subject to enclosing.
Claims (12)
1. a kind of figure dials detection method characterized by comprising
It performs the following operations in an iterative manner:
Received signal vector y and the second feedback informationAnd obtain the equivalent frequency domain letter for receiving each channel of the signal vector
Channel estimation matrix H；
According to second feedback informationWith the equivalent frequency domain channel estimate matrix H, the signal vector y is demodulated
Obtain log-likelihood ratio λ；
The log-likelihood ratio λ is descrambled, obtains prior information after the cascade of encoding block solution and solution rate-matched
Based on maximum a posteriori criterion, to the prior informationIt is decoded, obtains external information γ；
Determine the prior informationWhether met the requirements with the reliability of the external information γ, if the prior informationAnd institute
The reliability for stating external information γ is unsatisfactory for requiring, then by the first feedback informationSet 0；
To first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, to obtain second feedback
Information
2. method according to claim 1, which is characterized in that the method also includes:
If the prior informationIt meets the requirements, then passes through with the reliability of the external information γRespectively to the prior informationIt is weighted with the external information γ, obtains institute
State the first feedback informationWherein, α(n)、β(n)、WithIt is obtained by inquiring preset Modulation and Coding Scheme MCS, n is to work as
Preceding the number of iterations；α(n)And β(n)It is the linear process factor,WithIt is the Nonlinear Processing factor；
Then to first feedback informationRate-matched, encoding block cascade and scrambling processing are carried out, to obtain described second
Feedback information
3. method according to claim 2, which is characterized in that the determination prior informationWith the external information γ's
Whether reliability meets the requirements, comprising:
Calculate the prior informationWith the absolute value of the sum of the external information γ, and by the absolute value and preset threshold value
Τ is compared；
If the absolute value is less than the threshold value Τ, the prior informationIt is wanted with the reliability satisfaction of the external information γ
It asks；
If the absolute value is greater than the threshold value Τ, the prior informationIt is unsatisfactory for the reliability of the external information γ
It is required that；
If the absolute value, which is equal to the threshold value Τ, determines the prior information according to default ruleWith the outer letter
The reliability of breath γ is met the requirements, alternatively, the prior informationIt is unsatisfactory for requiring with the reliability of the external information γ；
Wherein, the threshold value Τ is obtained by inquiring the Modulation and Coding Scheme MCS.
4. method according to claim 2, which is characterized in that the α(n)And β(n)Value and current the number of iterations n just
It is related.
5. according to claim 1 to 4 any the methods, which is characterized in that described according to second feedback informationWith it is described
Equivalent frequency domain channel estimate matrix H is demodulated to obtain log-likelihood ratio λ to the signal vector y, comprising:
Maximum likelihood ratio detection is carried out to the signal vector y according to the equivalent frequency domain channel estimate matrix H, using detecting
The result arrived and second feedback informationIt is soft demodulated, obtains the log-likelihood ratio λ.
6. according to claim 1 to 4 any one the methods, which is characterized in that
It is described to the prior informationThe decoding number and current the number of iterations n decoded is positively correlated.
7. a kind of figure dials detection device characterized by comprising
Decoding unit, for received signal vector y and the second feedback information from the second processing unitAnd it obtains and receives institute
State the equivalent frequency domain channel estimate matrix H of each channel of signal vector；According to second feedback informationWith it is described equivalent
Channel estimation in frequency domain matrix H is demodulated to obtain log-likelihood ratio λ to the signal vector y；
First processing units obtain elder generation after encoding block cascade and solution rate-matched for descrambling to the log-likelihood ratio λ
Test information
Decoding unit, for being based on maximum a posteriori criterion, the prior information obtained to the first processing unitsIt is decoded,
Obtain external information γ；
Reliability determination unit, for determining the prior informationWhether met the requirements with the reliability of the external information γ；
Feedback information processing unit, if determining prior information for the reliability determination unitWith the external information γ can
It is unsatisfactory for requiring by property, then by the first feedback informationSet 0；
Described the second processing unit, the first feedback information for being obtained to the feedback information processing unitCarry out rate
Match, encoding block solution cascade and scrambling processing, to obtain second feedback information
8. device according to claim 7, which is characterized in that
The feedback information processing unit, if being also used to the reliability determination unit determines prior informationWith the external information
The reliability of γ is met the requirements, then is passed throughRespectively to the prior informationOutside described
Information γ is weighted, and obtains first feedback informationWherein, α(n)、β(n)、WithIt is described by inquiry
Figure is dialled the preset Modulation and Coding Scheme MCS of detection device and is obtained, and n is current the number of iterations α(n)And β(n)Be linear process because
Son,WithIt is the Nonlinear Processing factor.
9. device according to claim 8, which is characterized in that the reliability determination unit includes:
Absolute value calculation unit, for calculating the prior informationWith the absolute value of the sum of the external information γ；
Reliability determines subelement, for the absolute value to be compared with preset threshold value Τ；
If the absolute value is less than the threshold value Τ, the prior informationIt is wanted with the reliability satisfaction of the external information γ
It asks；
If the absolute value is greater than the threshold value Τ, the prior informationIt is unsatisfactory for the reliability of the external information γ
It is required that；
If the absolute value, which is equal to the threshold value Τ, determines the prior information according to default ruleWith the outer letter
The reliability of breath γ is met the requirements, alternatively, the prior informationIt is unsatisfactory for requiring with the reliability of the external information γ；
Wherein, the threshold value Τ is obtained by inquiring the Modulation and Coding Scheme MCS.
10. device according to claim 8, which is characterized in that the α(n)And β(n)Value and current the number of iterations n just
It is related.
11. according to claim 7~10 any one described device, which is characterized in that
The decoding unit, for carrying out maximum likelihood to the signal vector y according to the equivalent frequency domain channel estimate matrix H
Than detection, the result obtained using detection and second feedback informationIt is soft demodulated, obtains the log-likelihood ratio λ.
12. according to claim 7~10 any one described device, which is characterized in that
The decoding unit is to the prior informationThe decoding number and current the number of iterations n decoded is positively correlated.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410364464.0A CN105337685B (en) | 2014-07-28 | 2014-07-28 | A kind of figure group detection method and its device |
| PCT/CN2015/084932 WO2016015592A1 (en) | 2014-07-28 | 2015-07-23 | Turbo detection method and device thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410364464.0A CN105337685B (en) | 2014-07-28 | 2014-07-28 | A kind of figure group detection method and its device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105337685A CN105337685A (en) | 2016-02-17 |
| CN105337685B true CN105337685B (en) | 2018-12-07 |
Family
ID=55216760
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410364464.0A Active CN105337685B (en) | 2014-07-28 | 2014-07-28 | A kind of figure group detection method and its device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105337685B (en) |
| WO (1) | WO2016015592A1 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI599183B (en) * | 2016-05-02 | 2017-09-11 | 瑞昱半導體股份有限公司 | Maximum likelihood detector and detecting method |
| CN111726195B (en) * | 2019-03-21 | 2021-12-31 | 华为技术有限公司 | Data transmission method and communication device |
| CN116723069B (en) * | 2023-08-08 | 2023-12-05 | 华侨大学 | Multi-module iterative Turbo equalization method, device, equipment, server and medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101026434A (en) * | 2006-02-24 | 2007-08-29 | 中国科学院上海微系统与信息技术研究所 | Low-complexity iterative detection decoding method and device |
| CN101409693A (en) * | 2008-11-06 | 2009-04-15 | 北京韦加航通科技有限责任公司 | Method and system for implementing single carrier iterative equilibrium using Turbo code |
| CN101420291A (en) * | 2008-12-08 | 2009-04-29 | 北京邮电大学 | Combined decoding method for network and channel code in relay system |
| EP2262128A2 (en) * | 2005-11-18 | 2010-12-15 | Qualcomm Incorporated | Reduced complexity detection and decoding for a receiver in a communication system |
| CN102185682A (en) * | 2011-06-23 | 2011-09-14 | 西安电子科技大学 | Turbo code/network coding-united relay transmission and corresponding decoding method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8996948B2 (en) * | 2009-12-23 | 2015-03-31 | Intel Corporation | Methods, systems, and apparatus for tail termination of turbo decoding |
| CN102571108B (en) * | 2012-02-24 | 2014-02-26 | 清华大学深圳研究生院 | Self-adaptive iterative decoding method for Turbo product codes |
| CN103873073B (en) * | 2014-03-20 | 2017-03-15 | 北京遥测技术研究所 | A kind of based on Turbo code high-speed coding implementation method parallel with adding window structure |
-
2014
- 2014-07-28 CN CN201410364464.0A patent/CN105337685B/en active Active
-
2015
- 2015-07-23 WO PCT/CN2015/084932 patent/WO2016015592A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2262128A2 (en) * | 2005-11-18 | 2010-12-15 | Qualcomm Incorporated | Reduced complexity detection and decoding for a receiver in a communication system |
| CN101026434A (en) * | 2006-02-24 | 2007-08-29 | 中国科学院上海微系统与信息技术研究所 | Low-complexity iterative detection decoding method and device |
| CN101409693A (en) * | 2008-11-06 | 2009-04-15 | 北京韦加航通科技有限责任公司 | Method and system for implementing single carrier iterative equilibrium using Turbo code |
| CN101420291A (en) * | 2008-12-08 | 2009-04-29 | 北京邮电大学 | Combined decoding method for network and channel code in relay system |
| CN102185682A (en) * | 2011-06-23 | 2011-09-14 | 西安电子科技大学 | Turbo code/network coding-united relay transmission and corresponding decoding method |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016015592A1 (en) | 2016-02-04 |
| CN105337685A (en) | 2016-02-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9686069B2 (en) | Adaptive MIMO signal demodulation using determinant of covariance matrix | |
| EP2243263B1 (en) | Methods and apparatus for symbol detection via reduced complexity sequence estimation processing | |
| CN107094039B (en) | Method and apparatus for blind detection of interference parameters in LTE systems | |
| US8938038B2 (en) | Extending the set of addressable interferers for interference mitigation | |
| WO2015184967A1 (en) | Same-frequency interference rejection method and device | |
| KR20090097838A (en) | Method and appraratus for receiving in multiple input multiple output system | |
| CN105337685B (en) | A kind of figure group detection method and its device | |
| US10097288B2 (en) | Single-stream sliced maximum likelihood aided successive interference cancellation | |
| EP1843486B1 (en) | Method of decoding a spatially multiplexed signal and its corresponding receiver | |
| Şahin et al. | Spectrally efficient iterative MU-MIMO receiver for SC-FDMA based on EP | |
| Sarieddeen et al. | Likelihood-based modulation classification for MU-MIMO systems | |
| CN101599928A (en) | Interference elimination method and relevant device | |
| Sarieddeen et al. | Low-complexity joint modulation classification and detection in MU-MIMO | |
| Chen et al. | Turbo receiver with ICI-aware dual-list detection for mobile MIMO-OFDM systems | |
| US20120300829A1 (en) | Adaptively switching equalization operations in a node of a wireless network | |
| Gomaa et al. | Efficient soft-input soft-output detection of dual-layer MIMO systems | |
| Soltanmohammadi et al. | Semi-blind data detection for unitary space-time modulation in MIMO communications systems | |
| JP2011139294A (en) | Transmitter and receiver | |
| Li et al. | Iterative successive interference cancellation based on multiple feedback for multiuser MIMO systems | |
| WO2017049464A1 (en) | Signal demodulation method and terminal | |
| Cao et al. | Improved MMSE SQRD based detection for MIMO-OFDM systems with co-channel interference | |
| Hou et al. | Efficient quantization scheme for lattice-reduction aided MIMO detection | |
| Krzymien et al. | Near-far resistant MIMO iterative receiver for uplink LTE | |
| Hwang et al. | Design and implementation of a high throughput soft output MIMO detector | |
| Namboodiri et al. | Successive interference cancellation based turbo equalization for MIMO OFDM systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20191225 Address after: 314400 No.11, Weisan Road, Nongfa District, Chang'an Town, Haining City, Jiaxing City, Zhejiang Province Patentee after: Haining hi tech Zone Science and Innovation Center Co.,Ltd. Address before: 510000 unit 2414-2416, building, No. five, No. 371, Tianhe District, Guangdong, China Patentee before: GUANGDONG GAOHANG INTELLECTUAL PROPERTY OPERATION Co.,Ltd. Effective date of registration: 20191225 Address after: 510000 unit 2414-2416, building, No. five, No. 371, Tianhe District, Guangdong, China Patentee after: GUANGDONG GAOHANG INTELLECTUAL PROPERTY OPERATION Co.,Ltd. Address before: 518129 Bantian HUAWEI headquarters office building, Longgang District, Guangdong, Shenzhen Patentee before: HUAWEI TECHNOLOGIES Co.,Ltd. |