CN105337685A - Turbo detection method and device - Google Patents
Turbo detection method and device Download PDFInfo
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- CN105337685A CN105337685A CN201410364464.0A CN201410364464A CN105337685A CN 105337685 A CN105337685 A CN 105337685A CN 201410364464 A CN201410364464 A CN 201410364464A CN 105337685 A CN105337685 A CN 105337685A
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Abstract
The embodiment of the invention discloses a Turbo detection method and device, wherein the method is realized through the following operations in an iterative manner: receiving a signal vector y and second feedback information as shown in the specification, and obtaining an equivalent frequency-domain channel estimation matrix H of various channels for receiving the signal vector; demodulating the signal vector y according to the second feedback information as shown in the specification and the equivalent frequency-domain channel estimation matrix H so as to obtain a log-likelihood ratio lambda; descrambling the log-likelihood ratio lambda, obtaining prior information as shown in the specification after coded block cascading and rate de-matching, and decoding the prior information as shown in the specification based on a maximum posterior criterion to obtain extrinsic information gamma; determining whether the reliabilities of the prior information as shown in the specification and the extrinsic information gamma satisfy requirements or not, and setting first feedback information as shown in the specification to 0 if the reliabilities of the prior information as shown in the specification and the extrinsic information gamma do not satisfy the requirements; and performing rate matching, coded block cascading and scrambling treatments of the first feedback information as shown in the specification so as to obtain the second feedback information as shown in the specification. The operation complexity and the processing delay for Turbo detection can be reduced.
Description
Technical field
The present invention relates to communication technical field, particularly one figure dials detection method and device thereof.
Background technology
Along with the development of wireless broadband communication technology, the requirement of user to the performance of communication system improves constantly.The end of the year 2004,3rd generation partner program (3rdGenerationPartnershipProject, 3GPP) start universal mobile telecommunications system (UniversalMobileTelecommunicationsSystem, UMTS) Long Term Evolution (LongTermEvolution, the LTE) project of technology.Multiple-input and multiple-output (Multiple-InputMultiple-Output, MIMO) and OFDM (OrthogonalFrequencyDivisionMultiplex, OFDM) are two technology of LTE most critical.3GPPLTE main performance target comprises: can provide the peak rate of descending 100Mbps, up 50Mbps (maximum support descending 3Gbps, the peak rate of up 150M) in 20MHz spectral bandwidth; Improve the performance of base station edge customer; Improve Base Station Compatibility; Reduce system delay, the inner unidirectional transmission time delay of user plane is lower than 5ms, and control plane is from sleep state to state of activation transit time lower than 50ms, and the transit time from resident state to state of activation is less than 100ms; Support the base station coverage of 100km radius; Support paired or non-paired frequency spectrum, and can flexible configuration 1.25MHz to 20MHz various bandwidth.
LTE system realizes the transmission of multi-layer data by MIMO technology, obtains higher throughput with this.But, multilayer transmission can bring serious interlayer and inter-antenna interference, in order to overcome this problem, subscriber equipment (UserEquipment, UE) certain linear disturbance elimination algorithm can generally be adopted, as least mean-square error (MinimumMeanSquareError, MMSE) algorithm.Because linear disturbance elimination algorithm suppresses the limited in one's ability of interference, consideration is used the interference cancellation algorithm strengthened by LTE system, as Turbo (figure dials) detection and maximum likelihood (MaximumLikelihood, ML) detect scheduling algorithm.In fact, Turbo detects relative ML and has better performance at middle low signal-to-noise ratio, better performance can be provided to experience to UE.But Turbo detects to obtain good performance, its computational complexity and processing delay are comparatively large, are difficult to use in the equipment that complexity is limited.
Summary of the invention
Embodiments provide a kind of figure and dial detection method and device thereof, for promoting the robustness that Turbo detects, the computational complexity that reduction Turbo detects and processing delay.
A kind of figure dials detection method, comprising:
Perform following operation in an iterative manner:
Received signal vector y and the second feedback information
and obtain the equivalent frequency domain channel estimate matrix Η of each channel receiving described signal vector;
According to described second feedback information
with described equivalent frequency domain channel estimate matrix Η, demodulation is carried out to described signal vector y and obtains log-likelihood ratio λ;
Descrambling is carried out to described log-likelihood ratio λ, after encoding block cascade and rate de-matching, obtains prior information
Based on maximum a posteriori criterion, to described prior information
carry out decoding, obtain external information γ;
Determine described prior information
whether meet the demands with the reliability of described external information γ, if described prior information
do not meet the demands with the reliability of described external information γ, then by the first feedback information
set to 0;
To described first feedback information
carry out rate-matched, encoding block cascade and scrambling process, to obtain described second feedback information
A kind of figure dials checkout gear, comprising:
Decoding unit, for received signal vector y and the second feedback information from the second processing unit
and obtain the equivalent frequency domain channel estimate matrix Η of each channel receiving described signal vector; According to described second feedback information
with described equivalent frequency domain channel estimate matrix Η, demodulation is carried out to described signal vector y and obtains log-likelihood ratio λ;
First processing unit, for carrying out descrambling to described log-likelihood ratio λ, obtains prior information after encoding block cascade and rate de-matching
Decoding unit, for based on maximum a posteriori criterion, to the prior information that described first processing unit obtains
carry out decoding, obtain external information γ;
Reliability determination unit, for determining described prior information
whether meet the demands with the reliability of described external information γ;
Feedback information processing unit, if for described reliability determination unit determination prior information
do not meet the demands with the reliability of described external information γ, then by the first feedback information
set to 0;
Above-mentioned second processing unit, for the first feedback information obtained described feedback information processing unit
carry out rate-matched, encoding block cascade and scrambling process, to obtain described second feedback information
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages: dial in testing process at figure, filter the prior information that reliability does not meet the demands
with described external information γ, the first feedback information of demodulation will be used for
set to 0, represent and any prior information is not passed to demodulation module.Thus avoid the first feedback information
in inaccurate part on the impact of demodulation module, increase the reliability of each cyclical information, the iterations that Turbo detects can be reduced when ensureing Turbo Detection results, therefore above scheme improves the robustness that Turbo detects, thus can reduce computational complexity and the processing delay of Turbo detection.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly introduced, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is embodiment of the present invention Turbo structure of the detecting device schematic diagram;
Fig. 2 is embodiment of the present invention method flow schematic diagram;
Fig. 3 is embodiment of the present invention Turbo structure of the detecting device schematic diagram;
Fig. 4 is embodiment of the present invention method flow schematic diagram;
Fig. 5 is embodiment of the present invention Turbo structure of the detecting device schematic diagram;
Fig. 6 is embodiment of the present invention Turbo structure of the detecting device schematic diagram;
Fig. 7 is embodiment of the present invention Turbo structure of the detecting device schematic diagram.
Embodiment
In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail, and obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
For the reason that Turbo detection complexity is high, inventors performed detailed being analyzed as follows:
In LTEMIMO-OFDM system, supposing that UE side joint receives antenna number is N, certain Resource Unit (ResourceElement is represented respectively with x, y and H, RE) transmitting symbolic vector, reception vector (receiving the N dimension reception vector that vector is the signal formation of N number of antenna in embodiments of the present invention) and equivalent frequency domain channel estimate matrix, so channel model can be expressed as:
y＝Hx+n(1)
Wherein suppose that n is that N ties up additive white Gaussian noise vector (average is 0 covariance matrix is σ 2I); X is the column vector (M represents the number of plies that transmitting symbol is total) of M dimension, i.e. x=[x
1, x
2..., x
m]
t.
Turbo checkout gear as shown in Figure 1, demodulation module and decoding module are linked together by the mode of iteration, namely first demodulation operation is carried out, then decoded operation (decoded internal iteration D time) is carried out, carry out second time demodulation operation more afterwards, and second time decoded operation (decoded internal same iteration D time), so go down, separate mediation decoding for the L time until finish.L is called the iterations of Turbo detection.
Wherein, demodulation module receives outside H and y, and H is from channel estimating; Demodulation module comprises MIMO and detects and soft demodulation (constellation point demapping), and demodulation module calculates bit soft value, i.e. log-likelihood ratio (Log-LikelihoodRatio, LLR).Use b
j,irepresent symbol x to be estimated
ji-th corresponding bit, then the LLR of its correspondence can be written as:
The right Section 1 in above formula (2)
for the posterior information that demodulation module obtains, Section 2
for LLR (the external information γ that decoding module returns
j,iobtain through rate-matched, encoding block (CodedBlock, CB) cascade and scrambling
wherein external information γ
j,iobtained by (3) formula below).During first demodulation, Section 2
be 0, represent without any prior information, because now also do not do decoding, without prior information.
Decoding module adopts maximum a posteriori criterion, and its LLR exported can be expressed as (corresponding jth layer symbol i-th bit b
j,i)
Wherein, Section 1
for the posterior information that decoding module obtains, can be obtained by different algorithms, as BCJR (Bahl, Cocke, Jelinek, Raviv, a kind of being used on grid chart maximizes the algorithm of posterior probability of error correction coding) algorithm, the final testing result of Turbo receiver is obtained by this hard decision.Section 2
for demodulation module exports LLR (λ
j,ithrough descrambling, CB separates cascade and rate de-matching obtains
).
In order to ensure the performance of Turbo receiver, the iterations that usual Turbo detects needs larger, such as L=5; On the other hand, the inner iteration number of times of decoding also needs larger usually, such as D=8.For the UE that complexity is limited, larger the brought complexity of above-mentioned L and D value (being generally power consumption and time delay) is unacceptable.The embodiment of the present invention when ensureing Turbo detection perform, can reduce the scheme of the value of L and/or D by providing, thus reduces the complexity of Turbo detection.
Embodiments provide a kind of figure and dial detection method, as shown in Figure 2, comprising:
Perform the operation of each step shown in Fig. 2 in an iterative manner:
201: received signal vector y and the second feedback information
and obtain the equivalent frequency domain channel estimate matrix Η of each channel receiving above-mentioned signal vector;
Suppose that the reception antenna number of equipment that Turbo detects side is N, so receiving vector is that the N dimension that the signal of N number of antenna is formed receives vectorial.
202: according to above-mentioned second feedback information
with above-mentioned equivalent frequency domain channel estimate matrix Η, demodulation is carried out to above-mentioned signal vector y and obtains log-likelihood ratio λ;
More specifically, in this step according to above-mentioned second feedback information
with above-mentioned equivalent frequency domain channel estimate matrix Η, demodulation is carried out to above-mentioned signal vector y and obtains log-likelihood ratio λ, comprise: according to above-mentioned equivalent frequency domain channel estimate matrix Η, maximum likelihood ratio detection is carried out to above-mentioned signal vector y, utilize the result and above-mentioned second feedback information that detect and obtain
carry out soft demodulation, obtain above-mentioned log-likelihood ratio λ.
203: descrambling is carried out to above-mentioned log-likelihood ratio λ, after encoding block cascade and rate de-matching, obtains prior information
204: based on maximum a posteriori criterion, to above-mentioned prior information
carry out decoding, obtain external information γ;
In the decode procedure of step 204, also can obtain testing result, the scheme of the embodiment of the present invention does not relate to this testing result, therefore is not described in more detail.
205: determine above-mentioned prior information
whether meet the demands with the reliability of above-mentioned external information γ, if above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ, then by the first feedback information
set to 0;
206: to above-mentioned first feedback information
carry out rate-matched, encoding block cascade and scrambling process, to obtain above-mentioned second feedback information
this step 206 obtains the second feedback information
rear second feedback information
step 201 can be passed to and perform iteration next time.Concrete iterations can be pre-set, also can be determining to stop iteration after testing result meets the requirements.The concrete mode embodiment of the present invention how controlling iterations will not limit.
Above embodiment, in Turbo testing process, filters the prior information that reliability does not meet the demands
with above-mentioned external information γ, the first feedback information of demodulation will be used for
set to 0, represent and any prior information is not passed to demodulation module.Thus avoid the first feedback information
in inaccurate part on the impact of demodulation module, increase the reliability of each cyclical information, the iterations that Turbo detects can be reduced when ensureing Turbo Detection results, therefore above scheme improves the robustness that Turbo detects, thus can reduce computational complexity and the processing delay of Turbo detection.
Above embodiment can filter the prior information that reliability does not meet the demands
with above-mentioned external information γ, the embodiment of the present invention additionally provides the scheme that can promote Turbo detection efficiency further, specific as follows:
If above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ, then pass through
respectively to above-mentioned prior information
be weighted with above-mentioned external information γ, obtain above-mentioned first feedback information
wherein, α
(n), β
(n),
with
obtain by inquiring about default Modulation and Coding Scheme MCS, n is current iterations;
Then to above-mentioned first feedback information
carry out rate-matched, encoding block cascade and scrambling process, to obtain above-mentioned second feedback information
Alternatively, the embodiment of the present invention additionally provides and how to determine above-mentioned prior information
specific implementation with whether the reliability of above-mentioned external information γ meets the demands, it should be noted that, those skilled in the art can determine above-mentioned prior information according to other modes
with the reliability of above-mentioned external information γ, therefore the mode that the mode of reliability is also not limited in the present embodiment and provides is determined, the present embodiment provide one the conveniently citing of judgment mode should not be construed as and limits the uniqueness of the embodiment of the present invention, specific as follows: above-mentionedly determine above-mentioned prior information
whether meet the demands with the reliability of above-mentioned external information γ, comprising:
Calculate above-mentioned prior information
with the absolute value of above-mentioned external information γ sum, and above-mentioned absolute value and the threshold value Τ preset are compared;
If above-mentioned absolute value is less than above-mentioned threshold value Τ, then above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ;
If above-mentioned absolute value is greater than above-mentioned threshold value Τ, then above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ;
If above-mentioned absolute value equals above-mentioned threshold value Τ, then according to the rule preset, determine above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ, or, above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ;
Wherein, above-mentioned threshold value Τ is obtained by the above-mentioned Modulation and Coding Scheme MCS of inquiry.
Threshold T in the present embodiment can be determined by the mode of off-line simulation, in off-line simulation process, threshold T and Turbo are detected for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.After determining T value, threshold value Τ is stored in form and is used for inquiry.
Preferably, in embodiments of the present invention, above-mentioned α
(n)and β
(n)value and current iterations n positive correlation.
In embodiments of the present invention, iterations more rearward, therefore information can more reliably use larger treatment factors to increase the use of the high information of reliability, the iterations that Turbo detects can be reduced when ensureing Turbo Detection results, therefore above scheme improves the robustness that Turbo detects further, thus can reduce computational complexity and the processing delay of Turbo detection.
Above embodiment employs two groups for the treatment of factors, wherein α
(n)and β
(n)can be the linear process factor,
with
it can be the Nonlinear Processing factor.By the division that treatment factors is linear treatment factors and nonlinear treatment factors, feedback information can be made more effective.Other weighted calculation mode also can realize, and the account form that the embodiment of the present invention adopts, as a preferable examples, should not be construed as and limits the uniqueness of the embodiment of the present invention.
For above treatment factors α
(n), β
(n),
with
can be preset by technical staff, in embodiments of the present invention, treatment factors α
(n), β
(n),
with
can be determined by the mode of off-line simulation, in off-line simulation process, by treatment factors α
(n), β
(n),
with
with Turbo detect for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.Determining treatment factors α
(n), β
(n),
with
after, by treatment factors α
(n), β
(n),
with
be stored in form for inquiry.
In order to when ensureing Turbo receiver performance, reduce decoding inner iteration number of times (namely in each iterative process, to above-mentioned prior information
carry out the decoding number of times of decoding) value of D, the embodiment of the present invention also proposes the scheme adopting non-equilibrium inner iteration number of times, and namely the inner iteration number of times of each decoding is different, uses D
nrepresent.Under normal circumstances, decoding number of times should follow front few rear many principles.Work as D
nvalue is 0, represents that current iteration does not do decoding, and the middle operation such as Reinforced turf, CB cascade, rate-matched does not need to do yet, and the LLR that demodulation needs directly directly can feed back to demodulation module from demodulation module.Specific as follows: above-mentioned to above-mentioned prior information
carry out the decoding number of times of decoding and current iterations n positive correlation.
For the value of above decoding inner iteration number of times, can be preset by technical staff, in embodiments of the present invention, inner iteration number of times can be determined by the mode of off-line simulation, in off-line simulation process, inner iteration number of times and Turbo are detected for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.After determining inner iteration number of times, inner iteration number of times is stored in form and is used for inquiry.
Specific implementation with regard to the embodiment of the present invention is illustrated by following examples, illustrates respectively respectively with regard to how to reduce L and reduce D.
As can be seen from the discussion before present specification specific embodiment Fig. 2, Turbo detection technique is in order to ensure its performance, and the iterations of detection is very large, such as L=5; In addition, the inner iteration number of times of decoding is also a lot, such as D=9.It is very difficult that such complexity realizes in UE side.The embodiment of the present invention is excessive by solving the value of L and D, the problem that complexity is too high.The scheme of the embodiment of the present invention, under the prerequisite of performance ensureing Turbo receiver, can reduce the value of L and D greatly.
The embodiment of the present invention will propose solution for minimizing L and minimizing D respectively, describe in detail respectively below.
One,
In order to detect at Turbo iterations L value less (such as L=2 or L=3), ensure the performance of receiver.As shown in Figure 3, only be with the difference of Fig. 1: the information of demodulation module input is that decoding prior information and external information obtain through process, by which ensure that when L value is less, utilizing the feedback information that each decoding provides more fully, ensureing the performance of receiver.
Message processing module in Fig. 3 comprises two generic operations, describes respectively below.
Operation one: inaccurate part is on the impact of demodulation module in decoding feedback information, needs to identify insecure information.Concrete criterion is: when meeting
Time, we think and log-likelihood ratio (Log-LikelihoodRatio, LLR) unreliable information (what namely LLR absolute value was less thinks unreliable) corresponding feedback information are set to 0.In other words, when the prior information of decoding and external information and absolute value smaller, we think LLR, and it is unreliable.Feedback information is set to 0, represents and any prior information is not passed to demodulation module.Especially, when decoding prior information is contrary with outer information symbol time, above-mentioned absolute value is usually less, and when this illustrates that the judgement of separating mediation decoding is completely contrary, we also can think unreliable.This special case also shows that above-mentioned criterion is more rational.For the LLR not meeting (4) formula, we are here left intact.
Code check and the order of modulation of above-mentioned thresholding T and coding are relevant, can be determined by off-line simulation in advance.When performing Turbo detection, first can find corresponding T according to current Modulation and Coding Scheme (ModulationCodingScheme, MCS), and then executable operations one.
Operation two: for the LLR that operation one is treated, further process is no longer done in operation two; Other LLR do following process:
Wherein, α
(i)and β
(i)it is the linear process factor, n represents n-th iteration, and (namely each iteration coefficient is different, normal conditions n is larger, linear factor is larger, this is because iterations is more rearward, information is more reliable), the object done like this controls prior information and the external information weight at feedback information, ensure the quality of feedback information, because the effect of prior information and external information is different.
be
be the Nonlinear Processing factor, object does different process to different LLR sizes, because the larger LLR information of value and the less contribution of LLR information to feedback information of value are different.Same,
be
that which time iteration is relevant with current.
The above-mentioned value of four treatment factors is relevant with the code check of coding and order of modulation, can be determined by off-line simulation in advance.When performing Turbo detection, first find corresponding treatment factors according to MCS, and then executable operations two.
To sum up, for the scheme reducing L, the operating process of message processing module as shown in Figure 4.
401: obtain the first feedback information
(prior information of decoding) and external information;
402: the thresholding T tabled look-up in acquisition (4) formula according to MCS and 4 treatment factors in (5) formula;
403: according to (4) formula, insecure information is set to 0;
404: the information do not set to 0 according to (5) formula process.
Two,
In order to when ensureing Turbo receiver performance, reduce the value of decoding inner iteration number of times D, the embodiment of the present invention proposes the scheme adopting non-equilibrium inner iteration number of times, and namely the inner iteration number of times of each decoding is different, uses D
nrepresent.Under normal circumstances, decoding number of times should follow front few rear many principles.Work as D
nvalue is 0, represents that current iteration does not do decoding, and the middle operation such as Reinforced turf, the cascade of CB block, rate-matched does not need to do yet, and the LLR that demodulation needs directly directly can feed back to demodulation module from demodulation module.
Above-mentioned D
nthe code check of value and coding and order of modulation relevant, can be determined by off-line simulation in advance.When performing Turbo detection, first can find corresponding D according to MCS
n, and then perform inner iteration.
Such as, during MCS=25, D under L=2
nvalue is { 3,6}, i.e. first time decoding 3 inner iterations, second time decoding 6 inner iterations; D under L=3
ivalue is that { 0,3,6}, namely first time does not do decoding, and rear twice inner iteration number of times is 3 and 6.
As can be seen from embodiment above, keeping under the prerequisite that receiver performance is substantially constant, the scheme that the embodiment of the present invention proposes can reduce the complexity that UE realizes Turbo detection greatly.Specifically, the iterations detected relative to for example Turbo of the embodiment of the present invention is generally L=5, and decoding inner iteration number of times is generally D=9, the method of the embodiment of the present invention at least can reduce half the value of L and D, and the process power consumption that UETurbo detects and time delay greatly reduce.
The receiver of the embodiment of the present invention can be generalized to other communication systems, as GSM (GroupSpecialMobilecommunication, global system for mobile communications), TDS-CDMA (TimeDivision-SynchronousCodeDivisionMultipleAccess, Time Division-Synchronous Code Division Multiple Access), WCDMA (WidebandCodeDivisionMultipleAccess, Wideband Code Division Multiple Access (WCDMA)), CDMA2000 (CodeDivisionMultipleAccess2000, CDMA 2000) etc.In addition, the receiver framework of the embodiment of the present invention not merely can eliminate interlayer interference, can also be used to eliminate various types of interference such as presence of intercell interference, inter-user interference, intersymbol interference, inter-sub-carrier interference.
The embodiment of the present invention additionally provides a kind of figure and dials checkout gear, and as shown in Figure 5, direction shown in arrow is data flow in Figure 5, comprising:
Decoding unit 501, for received signal vector y and the second feedback information from the second processing unit 506
and obtain the equivalent frequency domain channel estimate matrix Η of each channel receiving above-mentioned signal vector; According to above-mentioned second feedback information
with above-mentioned equivalent frequency domain channel estimate matrix Η, demodulation is carried out to above-mentioned signal vector y and obtains log-likelihood ratio λ;
First processing unit 502, for carrying out descrambling to above-mentioned log-likelihood ratio λ, obtains prior information after encoding block cascade and rate de-matching
Decoding unit 503, for based on maximum a posteriori criterion, to the prior information that above-mentioned first processing unit 502 obtains
carry out decoding, obtain external information γ;
Reliability determination unit 504, for determining above-mentioned prior information
whether meet the demands with the reliability of above-mentioned external information γ;
Feedback information processing unit 505, if determine prior information for above-mentioned reliability determination unit 504
do not meet the demands with the reliability of above-mentioned external information γ, then by the first feedback information
set to 0;
Above-mentioned second processing unit 506, for the first feedback information obtained above-mentioned feedback information processing unit 505
carry out rate-matched, encoding block cascade and scrambling process, to obtain above-mentioned second feedback information
Above embodiment, in Turbo testing process, filters the prior information that reliability does not meet the demands
with above-mentioned external information γ, the first feedback information of demodulation will be used for
set to 0, represent and any prior information is not passed to demodulation module.Thus avoid the first feedback information
in inaccurate part on the impact of demodulation module, increase the reliability of each cyclical information, the iterations that Turbo detects can be reduced when ensureing Turbo Detection results, therefore above scheme improves the robustness that Turbo detects, thus can reduce computational complexity and the processing delay of Turbo detection.
Above embodiment can filter the prior information that reliability does not meet the demands
with above-mentioned external information γ, the embodiment of the present invention additionally provides the scheme that can promote Turbo detection efficiency further, specific as follows: above-mentioned feedback information processing unit 505, if also determine prior information for above-mentioned reliability determination unit 504
meet the demands with the reliability of above-mentioned external information γ, then pass through
respectively to above-mentioned prior information
be weighted with above-mentioned external information γ, obtain above-mentioned first feedback information
wherein, α
(n), β
(n),
with
by inquiry for above-mentioned figure dial checkout gear preset Modulation and Coding Scheme MCS obtain, n is current iterations.
Alternatively, the embodiment of the present invention additionally provides and how to determine above-mentioned prior information
specific implementation with whether the reliability of above-mentioned external information γ meets the demands, it should be noted that, those skilled in the art can determine above-mentioned prior information according to other modes
with the reliability of above-mentioned external information γ, therefore the mode that the mode of reliability is also not limited in the present embodiment and provides is determined, the present embodiment provide one the conveniently citing of judgment mode should not be construed as and limits the uniqueness of the embodiment of the present invention, specific as follows: as shown in Figure 6, above-mentioned reliability determination unit 504 comprises:
Absolute value calculation unit 601, for calculating above-mentioned prior information
with the absolute value of above-mentioned external information γ sum;
Reliability determination subelement 602, for comparing above-mentioned absolute value and the threshold value Τ preset;
If above-mentioned absolute value is less than above-mentioned threshold value Τ, then above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ;
If above-mentioned absolute value is greater than above-mentioned threshold value Τ, then above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ;
If above-mentioned absolute value equals above-mentioned threshold value Τ, then according to the rule preset, determine above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ, or, above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ;
Wherein, above-mentioned threshold value Τ is obtained by the above-mentioned Modulation and Coding Scheme MCS of inquiry.
Threshold T in the present embodiment can be determined by the mode of off-line simulation, in off-line simulation process, threshold T and Turbo are detected for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.After determining T value, threshold value Τ is stored in form and is used for inquiry.
Preferably, above-mentioned α
(n), β
(n)value and current iterations n positive correlation.
In embodiments of the present invention, iterations more rearward, therefore information can more reliably use larger treatment factors to increase the use of the high information of reliability, the iterations that Turbo detects can be reduced when ensureing Turbo Detection results, therefore above scheme improves the robustness that Turbo detects further, thus can reduce computational complexity and the processing delay of Turbo detection.
Above embodiment employs two groups for the treatment of factors, wherein α
(n)and β
(n)can be the linear process factor,
with
it can be the Nonlinear Processing factor.By the division that treatment factors is linear treatment factors and nonlinear treatment factors, feedback information can be made more effective.Other weighted calculation mode also can realize, and the account form that the embodiment of the present invention adopts, as a preferable examples, should not be construed as and limits the uniqueness of the embodiment of the present invention.
For above treatment factors α
(n), β
(n),
with
can be preset by technical staff, in embodiments of the present invention, treatment factors α
(n), β
(n),
with
can be determined by the mode of off-line simulation, in off-line simulation process, by treatment factors α
(n), β
(n),
with
with Turbo detect for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.Determining treatment factors α
(n), β
(n),
with
after, by treatment factors α
(n), β
(n),
with
be stored in form for inquiry.
More specifically, the embodiment of the present invention additionally provide how to obtain logarithm feel relieved than specific implementation, as follows: above-mentioned decoding unit 501, for carrying out maximum likelihood ratio detection according to above-mentioned equivalent frequency domain channel estimate matrix Η to above-mentioned signal vector y, utilize the result and above-mentioned second feedback information that detect and obtain
carry out soft demodulation, obtain above-mentioned log-likelihood ratio λ.
In order to when ensureing Turbo receiver performance, reduce decoding inner iteration number of times (namely in each iterative process, to above-mentioned prior information
carry out the decoding number of times of decoding) value of D, the embodiment of the present invention also proposes the scheme adopting non-equilibrium inner iteration number of times, and namely the inner iteration number of times of each decoding is different, uses D
nrepresent.Under normal circumstances, decoding number of times should follow front few rear many principles.Work as D
nvalue is 0, represents that current iteration does not do decoding, and the middle operation such as Reinforced turf, CB cascade, rate-matched does not need to do yet, and the LLR that demodulation needs directly directly can feed back to demodulation module from demodulation module.Specific as follows:
Above-mentioned decoding unit 503 is to above-mentioned prior information
carry out the decoding number of times of decoding and current iterations n positive correlation.
The embodiment of the present invention additionally provides another kind of Turbo checkout gear, as shown in Figure 7, comprising: receiver 701, reflector 702, processor 703, memory 704 and decoder 705;
Wherein, processor 703 is for performing following operation in an iterative manner: received signal vector y and the second feedback information
and obtain the equivalent frequency domain channel estimate matrix Η of each channel receiving above-mentioned signal vector; According to above-mentioned second feedback information
with above-mentioned equivalent frequency domain channel estimate matrix Η, demodulation is carried out to above-mentioned signal vector y and obtains log-likelihood ratio λ; Descrambling is carried out to above-mentioned log-likelihood ratio λ, after encoding block cascade and rate de-matching, obtains prior information
by prior information
send to above-mentioned decoder 705; The external information γ that receiver decoder 705 returns; Determine above-mentioned prior information
whether meet the demands with the reliability of above-mentioned external information γ, if above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ, then by the first feedback information
set to 0; To above-mentioned first feedback information
carry out rate-matched, encoding block cascade and scrambling process, to obtain above-mentioned second feedback information
Decoder 705, for receiving the prior information of self processor 703
based on maximum a posteriori criterion, to above-mentioned prior information
carry out decoding, obtain external information γ; And send to processor 703.
Also can obtain testing result in the decode procedure of decoder 705, the scheme of the embodiment of the present invention does not relate to this testing result, therefore is not described in more detail.
Above embodiment, in Turbo testing process, filters the prior information that reliability does not meet the demands
with above-mentioned external information γ, the first feedback information of demodulation will be used for
set to 0, represent and any prior information is not passed to demodulation module.Thus avoid the first feedback information
in inaccurate part on the impact of demodulation module, increase the reliability of each cyclical information, the iterations that Turbo detects can be reduced when ensureing Turbo Detection results, therefore above scheme improves the robustness that Turbo detects, thus can reduce computational complexity and the processing delay of Turbo detection.
More specifically, above-mentioned processor 703 is for according to the second feedback information
with above-mentioned equivalent frequency domain channel estimate matrix Η, demodulation is carried out to above-mentioned signal vector y and obtains log-likelihood ratio λ, comprise: according to above-mentioned equivalent frequency domain channel estimate matrix Η, maximum likelihood ratio detection is carried out to above-mentioned signal vector y, utilize the result and above-mentioned second feedback information that detect and obtain
carry out soft demodulation, obtain above-mentioned log-likelihood ratio λ.
Above embodiment can filter the prior information that reliability does not meet the demands
with above-mentioned external information γ, the embodiment of the present invention additionally provides the scheme that can promote Turbo detection efficiency further, specific as follows: processor 703 in the process of executable operations in an iterative manner, if above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ, then pass through
respectively to above-mentioned prior information
be weighted with above-mentioned external information γ, obtain above-mentioned first feedback information
wherein, α
(n), β
(n),
with
obtained by the Modulation and Coding Scheme MCS inquired about as above-mentioned Turbo checkout gear is default, n is current iterations;
Then to above-mentioned first feedback information
carry out rate-matched, encoding block cascade and scrambling process, to obtain above-mentioned second feedback information
Alternatively, the embodiment of the present invention additionally provides and how to determine above-mentioned prior information
specific implementation with whether the reliability of above-mentioned external information γ meets the demands, it should be noted that, those skilled in the art can determine above-mentioned prior information according to other modes
with the reliability of above-mentioned external information γ, therefore the mode that the mode of reliability is also not limited in the present embodiment and provides is determined, the present embodiment provide one the conveniently citing of judgment mode should not be construed as and limits the uniqueness of the embodiment of the present invention, specific as follows: above-mentioned processor 703 is for determining above-mentioned prior information
whether meet the demands with the reliability of above-mentioned external information γ, comprising: calculate above-mentioned prior information
with the absolute value of above-mentioned external information γ sum, and above-mentioned absolute value and the threshold value Τ preset are compared;
If above-mentioned absolute value is less than above-mentioned threshold value Τ, then above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ;
If above-mentioned absolute value is greater than above-mentioned threshold value Τ, then above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ;
If above-mentioned absolute value equals above-mentioned threshold value Τ, then according to the rule preset, determine above-mentioned prior information
meet the demands with the reliability of above-mentioned external information γ, or, above-mentioned prior information
do not meet the demands with the reliability of above-mentioned external information γ;
Wherein, above-mentioned threshold value Τ is obtained by the above-mentioned Modulation and Coding Scheme MCS of inquiry.
Threshold T in the present embodiment can be determined by the mode of off-line simulation, in off-line simulation process, threshold T and Turbo are detected for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.After determining T value, threshold value Τ is stored in form and is used for inquiry.
Preferably, in embodiments of the present invention, above-mentioned α
(n)and β
(n)value and current iterations n positive correlation.
In embodiments of the present invention, iterations more rearward, therefore information can more reliably use larger treatment factors to increase the use of the high information of reliability, the iterations that Turbo detects can be reduced when ensureing Turbo Detection results, therefore above scheme improves the robustness that Turbo detects further, thus can reduce computational complexity and the processing delay of Turbo detection.
Above embodiment employs two groups for the treatment of factors, wherein α
(n)and β
(n)can be the linear process factor,
with
it can be the Nonlinear Processing factor.By the division that treatment factors is linear treatment factors and nonlinear treatment factors, feedback information can be made more effective.Other weighted calculation mode also can realize, and the account form that the embodiment of the present invention adopts, as a preferable examples, should not be construed as and limits the uniqueness of the embodiment of the present invention.
For above treatment factors α
(n), β
(n),
with
can be preset by technical staff, in embodiments of the present invention, treatment factors α
(n), β
(n),
with
can be determined by the mode of off-line simulation, in off-line simulation process, by treatment factors α
(n), β
(n),
with
with Turbo detect for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.Determining treatment factors α
(n), β
(n),
with
after, by treatment factors α
(n), β
(n),
with
be stored in form for inquiry.
In order to when ensureing Turbo receiver performance, reduce decoding inner iteration number of times (namely in each iterative process, to above-mentioned prior information
carry out the decoding number of times of decoding) value of D, the embodiment of the present invention also proposes the scheme adopting non-equilibrium inner iteration number of times, and namely the inner iteration number of times of each decoding is different, uses D
nrepresent.Under normal circumstances, decoding number of times should follow front few rear many principles.Work as D
nvalue is 0, represents that current iteration does not do decoding, and the middle operation such as Reinforced turf, CB cascade, rate-matched does not need to do yet, and the LLR that demodulation needs directly directly can feed back to demodulation module from demodulation module.Specific as follows: above-mentioned processor 703 is to above-mentioned prior information
carry out the decoding number of times of decoding and current iterations n positive correlation.
For the value of above decoding inner iteration number of times, can be preset by technical staff, in embodiments of the present invention, inner iteration number of times can be determined by the mode of off-line simulation, in off-line simulation process, inner iteration number of times and Turbo are detected for the encoder bit rate of data and order of modulation associate and carry out off-line simulation.After determining inner iteration number of times, inner iteration number of times is stored in form and is used for inquiry.
It should be noted that in above-mentioned Turbo structure of the detecting device schematic diagram embodiment, included unit is carry out dividing according to function logic, but is not limited to above-mentioned division, as long as can realize corresponding function; In addition, the concrete title of each functional unit, also just for the ease of mutual differentiation, is not limited to protection scope of the present invention.
In addition, one of ordinary skill in the art will appreciate that all or part of step realized in above-mentioned each embodiment of the method is that the hardware that can carry out instruction relevant by program completes, corresponding program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only memory, disk or CD etc.
These are only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the embodiment of the present invention discloses, the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.
Claims (12)
1. figure dials a detection method, it is characterized in that, comprising:
Perform following operation in an iterative manner:
Received signal vector y and the second feedback information
and obtain the equivalent frequency domain channel estimate matrix Η of each channel receiving described signal vector;
According to described second feedback information
with described equivalent frequency domain channel estimate matrix Η, demodulation is carried out to described signal vector y and obtains log-likelihood ratio λ;
Descrambling is carried out to described log-likelihood ratio λ, after encoding block cascade and rate de-matching, obtains prior information
Based on maximum a posteriori criterion, to described prior information
carry out decoding, obtain external information γ;
Determine described prior information
whether meet the demands with the reliability of described external information γ, if described prior information
do not meet the demands with the reliability of described external information γ, then by the first feedback information
set to 0;
To described first feedback information
carry out rate-matched, encoding block cascade and scrambling process, to obtain described second feedback information
2. method according to claim 1, it is characterized in that, described method also comprises:
If described prior information
meet the demands with the reliability of described external information γ, then pass through
respectively to described prior information
be weighted with described external information γ, obtain described first feedback information
wherein, α
(n), β
(n),
with
obtain by inquiring about default Modulation and Coding Scheme MCS, n is current iterations;
Then to described first feedback information
carry out rate-matched, encoding block cascade and scrambling process, to obtain described second feedback information
3. method according to claim 2, is characterized in that, describedly determines described prior information
whether meet the demands with the reliability of described external information γ, comprising:
Calculate described prior information
with the absolute value of described external information γ sum, and described absolute value and the threshold value Τ preset are compared;
If described absolute value is less than described threshold value Τ, then described prior information
meet the demands with the reliability of described external information γ;
If described absolute value is greater than described threshold value Τ, then described prior information
do not meet the demands with the reliability of described external information γ;
If described absolute value equals described threshold value Τ, then according to the rule preset, determine described prior information
meet the demands with the reliability of described external information γ, or, described prior information
do not meet the demands with the reliability of described external information γ;
Wherein, described threshold value Τ is obtained by the described Modulation and Coding Scheme MCS of inquiry.
4. method according to claim 2, is characterized in that, described α
(n)and β
(n)value and current iterations n positive correlation.
5., according to the arbitrary described method of Claims 1-4, it is characterized in that, described according to described second feedback information
with described equivalent frequency domain channel estimate matrix Η, demodulation is carried out to described signal vector y and obtains log-likelihood ratio λ, comprising:
According to described equivalent frequency domain channel estimate matrix Η, maximum likelihood ratio detection is carried out to described signal vector y, utilize the result and described second feedback information that detect and obtain
carry out soft demodulation, obtain described log-likelihood ratio λ.
6. method according to Claims 1-4 any one, is characterized in that,
Described to described prior information
carry out the decoding number of times of decoding and current iterations n positive correlation.
7. figure dials a checkout gear, it is characterized in that, comprising:
Decoding unit, for received signal vector y and the second feedback information from the second processing unit
and obtain the equivalent frequency domain channel estimate matrix Η of each channel receiving described signal vector; According to described second feedback information
with described equivalent frequency domain channel estimate matrix Η, demodulation is carried out to described signal vector y and obtains log-likelihood ratio λ;
First processing unit, for carrying out descrambling to described log-likelihood ratio λ, obtains prior information after encoding block cascade and rate de-matching
Decoding unit, for based on maximum a posteriori criterion, to the prior information that described first processing unit obtains
carry out decoding, obtain external information γ;
Reliability determination unit, for determining described prior information
whether meet the demands with the reliability of described external information γ;
Feedback information processing unit, if for described reliability determination unit determination prior information
do not meet the demands with the reliability of described external information γ, then by the first feedback information
set to 0;
Described second processing unit, for the first feedback information obtained described feedback information processing unit
carry out rate-matched, encoding block cascade and scrambling process, to obtain described second feedback information
8. device according to claim 7, is characterized in that,
Described feedback information processing unit, if also for described reliability determination unit determination prior information
meet the demands with the reliability of described external information γ, then pass through
respectively to described prior information
be weighted with described external information γ, obtain described first feedback information
wherein, α
(n), β
(n),
with
by inquiry for described figure dial checkout gear preset Modulation and Coding Scheme MCS obtain, n is current iterations.
9. device according to claim 8, it is characterized in that, described reliability determination unit comprises:
Absolute value calculation unit, for calculating described prior information
with the absolute value of described external information γ sum;
Reliability determination subelement, for comparing described absolute value and the threshold value Τ preset;
If described absolute value is less than described threshold value Τ, then described prior information
meet the demands with the reliability of described external information γ;
If described absolute value is greater than described threshold value Τ, then described prior information
do not meet the demands with the reliability of described external information γ;
If described absolute value equals described threshold value Τ, then according to the rule preset, determine described prior information
meet the demands with the reliability of described external information γ, or, described prior information
do not meet the demands with the reliability of described external information γ;
Wherein, described threshold value Τ is obtained by the described Modulation and Coding Scheme MCS of inquiry.
10. device according to claim 8, is characterized in that, described α
(n)and β
(n)value and current iterations n positive correlation.
11. according to claim 7 ~ 10 any one device, it is characterized in that,
Described decoding unit, for carrying out maximum likelihood ratio detection according to described equivalent frequency domain channel estimate matrix Η to described signal vector y, utilizes the result and described second feedback information that detect and obtain
carry out soft demodulation, obtain described log-likelihood ratio λ.
12. according to claim 7 ~ 10 any one device, it is characterized in that,
Described decoding unit is to described prior information
carry out the decoding number of times of decoding and current iterations n positive correlation.
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| 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 |
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