CN104734818B - The adaptive method for switching and device of MIMO receiving algorithms - Google Patents
The adaptive method for switching and device of MIMO receiving algorithms Download PDFInfo
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Abstract
The present invention relates to wireless communication fields, disclose a kind of adaptive method for switching and device of MIMO receiving algorithms.In the present invention, under the different configuration combinations of the various factors of the bit error rate performance gain for the complexity and maximum-likelihood criterion algorithm opposite linear detection algorithm for influencing maximum-likelihood criterion detection algorithm, by emulation, acquisition makes the receiving algorithm that bit error rate performance is optimal as far as possible；When bit error rate performance difference is little, the low receiving algorithm of selection complexity；To obtain the correspondence between the different configuration combinations of receiving terminal and MIMO receiving algorithms；And in actual selection receiving algorithm, according to the current configuration of receiving terminal, selection carries out data receiver using one of linear detection algorithm or maximum-likelihood criterion detection algorithm, to make receiving terminal reasonably select receiving algorithm according to actual disposition situation, make that bit error rate performance is as optimal as possible or algorithm complexity is as low as possible, achievees the purpose that take into account bit error rate performance and algorithm complexity.
Description
Technical field
The present invention relates to wireless communication fields, the more particularly to adaptive method for switching and device of MIMO receiving algorithms.
Background technology
General multiple-input and multiple-output（Multiple-input multiple-output, referred to as " MIMO "）Receiver is all adopted
With single receiving algorithm, such as linearity test, such as force zero（Zero-Forcing, referred to as " ZF "）, least mean-square error
（Minimum Mean-Squared Error, referred to as " MMSE "）, sequence based on ZF/MMSE serial interference elimination
（Ordered Successive Interference Cancellation, referred to as " OSIC "）Or based on maximum-likelihood criterion
Detection algorithm, such as globular decoding（Sphere Decoding, referred to as " SD "）, lattice point reduce detection（Lattice Reduction
Algorithm, referred to as " LRA "）, single receiving algorithm has the disadvantage that（For convenience, linearity test in background technology
All illustrated with MMSE, Maximum Likelihood Detection is all illustrated with SD）：
Single use linearity test, although complexity is relatively low, bit error rate performance is also poor；Single use OSIC, it is certain
There can be the phenomenon that error propagation under channel condition, reduce performance instead；Single use SD, complexity is higher, and certain channels
Under the conditions of performance gain opposite linear detection be not obvious.
Also there is part MIMO receiver using the adaptive receiving algorithm of linearity test and SD, but adaptive condition is not complete
Simple switching is only done in face according to channel condition number, there are the switching of certain probability is unreasonable, between performance and complexity
It cannot trade off well.
Specifically, it is assumed that mimo system model is y=Hs+n, and y is to receive signal, and s is to send signal, and H is channel square
Battle array, n are that variance is σ2White Gaussian noise.
According to linearity test MMSE algorithms：
According to maximum likelihood（Maximum Likelihood, referred to as " ML "）Detection algorithm：
EntireOptimal solution is found in space, C represents the symbolic number that modulation constellation points include, N hereTIt represents and sends
Antenna number, R are to channel matrix H（It is required that H is linear unrelated）The upper triangular matrix that QR is decomposed is carried out, Q is to carry out QR to H
Decompose obtained orthogonal matrix, ()HThe conjugate transposition of representing matrix, ()-1Representing matrix it is inverse, | | | | representing matrix
Norm.
Since the complexity of ML is distributed with transmission antenna number exponentially, the MIMO terminal detection algorithms of early stage are generally adopted
Use linearity test.Nearest globular decoding technical research shows：Globular decoding can be substantially reduced in complexity（And transmitting antenna
Number is at polynomial relation）Under the premise of reach close or be equal to the error performance of Maximum Likelihood Detection, therefore globular decoding
Start to be applied in mimo system.
SD refers to the thought of Maximum Likelihood Detection, but it is in the ball that a center is reception vector y, radius is r
It is interior to find all possible transmission symbolic vector, that is, meet all transmission symbolic vectors of following inequality, rather than entireIt is found in space, to reduce calculation amount.
A kind of existing adaptive strategy mainly carries out the adaptive of SD and MMSE according to the orthogonal level of channel matrix H
It answers, the orthogonal level of H can be characterized with conditional number α or orthogonal defects od (H).Whereinσmax,σminIt is H respectively
Minimum and maximum singular value；To arbitrary H, there are α >=1,0≤od (H)≤1.α or od
(H) smaller, H more tends to be orthogonal, performance of the linearity test closer to ML.A kind of adaptive strategy based on channel condition number is such as
Under：
If channel condition number α is less than or equal to conditional number lower limit threshold value αTH1, then it is assumed that channel conditions at this time are fine,
MMSE algorithms minimum with decoding complexity but relatively poor performance can be considered in receiving terminal；If the conditional number greater than condition number upper limit
Threshold value αTH2, then it is assumed that channel conditions are very poor at this time, receiving terminal just use decoding complexity highest but performance it is best SD detection
Algorithm；Otherwise just using complexity and performance OSIC detection algorithms all placed in the middle.
But in fact, influence SD is many with respect to the factor of MMSE performances, channel condition number is one of them.It is based purely on
Channel condition number switches over control, it may appear that the switching of greater probability is unreasonable or differs larger with SD performances in MMSE
When to be switched to MMSE optimal to which performance is not achieved or differ with SD performances smaller in MMSE and be switched to SD so that increase need not
The complexity wanted.
In brief, existing MIMO reception techniques have the following disadvantages：
1. using single MIMO reception schemes, poor performance or complexity are very high.
2. according to the adaptive switching simply based on conditional number, although relatively single SD can slightly power saving,
It is unreasonable due to switching, unnecessary power consumption or performance can be caused to be not achieved optimal.
Invention content
The purpose of the present invention is to provide a kind of adaptive method for switching and device of MIMO receiving algorithms so that receiving terminal
Receiving algorithm is reasonably selected according to actual disposition situation, makes that bit error rate performance is as optimal as possible or algorithm complexity is as low as possible.
In order to solve the above technical problems, embodiments of the present invention provide a kind of adaptive switching of MIMO receiving algorithms
Method comprises the steps of：
A. emulation in advance obtains the correspondence between the different configuration combinations of receiving terminal and MIMO receiving algorithms；
B. the current-configuration for obtaining receiving terminal, according to the correspondence, selection uses linear detection algorithm or maximum seemingly
One of right criterion detection algorithm carries out data receiver；
Wherein, the configuration is combined as：The complexity and maximum-likelihood criterion for influencing maximum-likelihood criterion detection algorithm are calculated
The configuration of the various factors of the bit error rate performance gain of method opposite linear detection algorithm is combined；
The MIMO receiving algorithms include：The detection algorithm of linear detection algorithm, maximum-likelihood criterion.
Embodiments of the present invention additionally provide a kind of adaptive switching device of MIMO receiving algorithms, including：Mapping is deposited
Store up module, configuration acquisition module, detection algorithm selecting module；
The mapping memory module is used to store the correspondence between different configuration combinations and MIMO receiving algorithms,
In, the correspondence by emulating acquisition in advance；The configuration is combined as：Influence the complexity of maximum-likelihood criterion detection algorithm
The configuration combination of the various factors of the bit error rate performance gain of degree and maximum-likelihood criterion algorithm opposite linear detection algorithm；It is described
MIMO receiving algorithms include：The detection algorithm of linear detection algorithm, maximum-likelihood criterion
The configuration acquisition module is currently configured for obtaining；
The current-configuration and the mapping that the detection algorithm selecting module is obtained according to the configuration acquisition module are deposited
The correspondence of module storage is stored up, selection uses one of linear detection algorithm or maximum-likelihood criterion detection algorithm into line number
According to reception.
Embodiment of the present invention in terms of existing technologies, influence maximum-likelihood criterion detection algorithm complexity and
Under the different configuration combinations of the various factors of the bit error rate performance gain of maximum-likelihood criterion algorithm opposite linear detection algorithm, lead to
Emulation is crossed, acquisition makes the receiving algorithm that bit error rate performance is optimal as far as possible；When bit error rate performance difference is little, selection is multiple
The low receiving algorithm of miscellaneous degree；To obtain the correspondence between the different configuration combinations of receiving terminal and MIMO receiving algorithms；And
In actual selection receiving algorithm, according to the current configuration of receiving terminal, selection uses linear detection algorithm or maximum-likelihood criterion
One of detection algorithm carries out data receiver, to make receiving terminal reasonably select receiving algorithm according to actual disposition situation, makes error code
Rate performance is as optimal as possible or algorithm complexity is as low as possible, achievees the purpose that take into account bit error rate performance and algorithm complexity.
In addition, the complexity for influencing maximum-likelihood criterion detection algorithm and the inspection of maximum-likelihood criterion algorithm opposite linear
The various factors of the bit error rate performance gain of method of determining and calculating includes：Diversity gain, channel coding rate, modulation system, spatial parallelism
The data flow of transmission；Wherein, the diversity includes：Frequency diversity and space diversity；
The diversity gain, channel coding rate, modulation system be configured to it is following any one：It is basic, normal, high；
The number of the data flow of the spatial parallelism transmission is more than or equal to 2.
Consider the complexity for influencing maximum-likelihood criterion detection algorithm and the inspection of maximum-likelihood criterion algorithm opposite linear
The various factors of the bit error rate performance gain of method of determining and calculating, and each factor is simply distinguished, the switching plan of the present invention can be made
It is slightly simple and practicable, the complexity of receiving algorithm will not be increased because of complicated switching judging.
In addition, the basic, normal, high configuration of the frequency diversity corresponds to 1.4M, 10M, 20M respectively；
The basic, normal, high configuration of the space diversity corresponds to related, the low correlation in space in the high related, space in space respectively；
The basic, normal, high configuration of the modulation system corresponds to QPSK, 16QAM, 64QAM respectively；
The basic, normal, high configuration of the channel coding rate corresponds to 1/3,1/2,3/4 respectively；
The number of the data flow of spatial parallelism transmission is 2.
In actual receiving terminal, further refinement can be combined to various configurations or merged according to system requirements, it can be with
Keep adaptive switchover policy more reasonable.
In addition, the correspondence between the configuration combination and MIMO receiving algorithms includes：
The configuration is combined as：Modulation system be it is low or in, during channel coding rate is or high, corresponding MIMO, which is received, to be calculated
Method is the detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system be it is low or in, channel coding rate be it is low, frequency diversity be it is low, it is corresponding
MIMO receiving algorithms are the detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system be it is low or in, channel coding rate is low, during frequency diversity is or high, right
The MIMO receiving algorithms answered are linear detection algorithm；
The configuration is combined as：Modulation system is height, and channel coding rate is low, and frequency diversity is low, and space diversity is
Low, corresponding MIMO receiving algorithms are the detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system is height, during channel coding rate is or high, during frequency diversity is or high, empty
Between diversity be in or it is high, corresponding MIMO receiving algorithms are linear detection algorithm.
Although above-mentioned adaptive switchover policy rather rough, relatively single detection algorithm, progress can be facilitated complicated
The compromise of degree and error performance；And it is opposite to be based purely on the scheme that channel condition number is detected algorithm changeover, consider
Influence various factors of the SD with respect to MMSE, it is ensured that under various circumstances, it is more reasonable adaptively to switch, and preferably keeps away for terminal
Exempt to appear in that be switched to MMSE when MMSE differs larger with SD performances optimal to which performance is not achieved, and in MMSE and SD performance phases
Difference is smaller to be switched to the phenomenon that SD is to increase unnecessary complexity, can preferably trade off between performance and power saving.
In addition, the complexity for influencing maximum-likelihood criterion detection algorithm and the inspection of maximum-likelihood criterion algorithm opposite linear
The various factors of the bit error rate performance gain of method of determining and calculating also includes：The ratio SINR of signal and interference and noise；
In the step A, also comprise the steps of：
Emulation in advance is obtained under respectively being configured in various configuration combinations, is taken using the SINR of maximum-likelihood criterion detection algorithm
It is worth section；
Also include following sub-step in the step B：
The current-configuration of receiving terminal and current SINR are obtained, judges whether the current SINR belongs under current-configuration
SINR intervals；If so, then selecting to carry out data receiver using maximum-likelihood criterion detection algorithm；If not, selection uses
Linear detection algorithm carries out data receiver.
Adaptive switchover policy is further refined using signal and the ratio SINR of interference and noise, is made adaptive
Switching is more reasonable, further makes that bit error rate performance is as optimal as possible or algorithm complexity is as low as possible
In addition, the method is applied to LTE system, the modulation system and the channel coding rate are directly used uniformly
Modulation is judged with coding strategy MCS；The frequency diversity is directly carried out with the resource block RB numbers for distributing to user on frequency domain
Judge；The spatial domain diversity is judged with the ratio size between channel correlation matrix characteristic value.Influence maximum likelihood can be made accurate
Then the bit error rate performance gain of the complexity of detection algorithm and maximum-likelihood criterion algorithm opposite linear detection algorithm it is various because
The parameter value of element is highly susceptible to obtaining, and will not be difficult to increase the complexity of receiving algorithm due to acquisition because of each factor, also make this hair
Bright use easy to spread.
Description of the drawings
Fig. 1 is the flow according to a kind of adaptive method for switching of MIMO receiving algorithms of first embodiment of the invention
Figure；
Fig. 2 is the flow according to a kind of adaptive method for switching of MIMO receiving algorithms of second embodiment of the invention
Figure；
Fig. 3 is shown according to a kind of structure of the adaptive switching device of MIMO receiving algorithms of third embodiment of the invention
It is intended to；
Fig. 4 is shown according to a kind of structure of the adaptive switching device of MIMO receiving algorithms of four embodiment of the invention
It is intended to.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to each reality of the present invention
The mode of applying is explained in detail.However, it will be understood by those skilled in the art that in each embodiment of the present invention,
In order to make the reader understand this application better, many technical details are proposed.But even if without these technical details and base
In the various changes and modifications of following embodiment, each claim of the application technical side claimed can also be realized
Case.
The first embodiment of the present invention is related to a kind of adaptive method for switching of MIMO receiving algorithms, this method synthesis is examined
Having considered influences the various factors and globular decoding of linearity test and maximum likelihood relative performance in ofdm system（SD）Complexity,
A kind of adaptive strategy of SD and linearity test is proposed, this method can be well in MIMO receptivities and algorithm complexity
Between trade off.
Specifically, first passing through emulation in advance, pair between the different configuration combinations of receiving terminal and MIMO receiving algorithms is obtained
It should be related to；Receiving terminal is obtained and is currently configured when actually receiving data, and according to above-mentioned correspondence, selection uses linearity test
One of algorithm or maximum-likelihood criterion detection algorithm carry out data receiver；Wherein, configuration is combined as：Influence maximum-likelihood criterion inspection
The complexity of method of determining and calculating and the various factors of the bit error rate performance gain of maximum-likelihood criterion algorithm opposite linear detection algorithm
Configuration combination；MIMO receiving algorithms include：The detection algorithm of linear detection algorithm, maximum-likelihood criterion（Also include：Class maximum is seemingly
The detection algorithm of right criterion）.
Influence the complexity and maximum-likelihood criterion algorithm opposite linear detection algorithm of maximum-likelihood criterion detection algorithm
The various factors of bit error rate performance gain can be：Diversity gain, channel coding rate（Referred to as " code check "）, modulation system, sky
Between parallel transmission data flow.Diversity gain, channel coding rate, modulation system be configured to it is following any one：It is low, in,
It is high；The number of the data flow of spatial parallelism transmission is more than or equal to 2.Maximum-likelihood criterion detection calculation is influenced by considering
The various factors of the complexity of method and the bit error rate performance gain of maximum-likelihood criterion algorithm opposite linear detection algorithm, and to each
Factor is simply distinguished, and the switchover policy of the present invention can be made simple and practicable, will not be increased because of complicated switching judging
The complexity of receiving algorithm.
It will be understood by those skilled in the art that diversity gain refers mainly to following three kinds：
Frequency diversity gain：Multipath fading determines that ratio is got over by system bandwidth Bs and the ratio of channel coherence bandwidth Bc
Greatly, diversity gain is higher；
Time diversity gain：Doppler determines that ratio is bigger by symbol period Ts and the ratio of channel coherency time Tc,
Diversity gain is higher；
Space diversity gain：Multiple antennas, by characteristic value（Eigenvalue）Extend σEVIt determines, i.e. maximum eigenvalue and minimum
The ratio of characteristic value；Eigenvalue spread is bigger, and channel relevancy is higher, and the parallel data stream that when spatial reuse can transmit is got over
Few, space diversity gain is lower.
Spaced far between general subcarrier in MIMO-OFDM systems to be more than doppler spread, symbol period Ts is much smaller than relevant
Time Tc, therefore time diversity gain is fairly limited, it is limited with respect to the influence of the performance of MMSE on SD, it is in the present embodiment, main
Consider frequency and space diversity gain.
For the sake of simplicity, present embodiment is for transmitting 2 flow datas, code check, modulation system, frequency diversity gain, sky
Between diversity gain, SINR all illustrated with basic, normal, high three kinds of code checks：
When specifically determining adaptive switchover policy, the performance of the complexity for considering SD and opposite MMSE is needed（With
△dBIt indicates）, when the value reaches some thresholding（This threshold value can be obtained by emulating）When, it is larger to be considered as gain, can be with
Select SD.In addition, it is contemplated that when different modulating mode, the complexity of SD is different, the △ of different modulating modedBIt is required that different, tool
It is higher that body shows as modulation system, △dBThresholding is higher.That is, under the same conditions, SD complexities are with respect to low order when high-order
It is high when modulation, so also high to performance difference demand, such as the good 0.5dB of SD ratios MMSE just consideration SD when low order, but when high-order
May will good 0.8dB just use SD, to ensure that terminal complexity can control in more suitably range, preferably power saving.
In the present embodiment, a kind of adaptive switchover policy of rather rough is obtained by emulation, it is, influencing
The complexity of maximum-likelihood criterion detection algorithm and the bit error rate performance of maximum-likelihood criterion algorithm opposite linear detection algorithm increase
Under the different configuration combinations of the various factors of benefit, by emulation, the reception that obtaining as far as possible is optimal bit error rate performance is calculated
Method（Such as maximum likelihood algorithm）；When bit error rate performance is not much different, the low receiving algorithm of selection complexity（Such as
Linear detection algorithm）；To obtain the correspondence between the different configuration combinations of receiving terminal and MIMO receiving algorithms.This implementation
Mode by emulation obtain it is a kind of configuration combination MIMO receiving algorithms between correspondence it is as follows：
Configuration is combined as：Modulation system be it is low or in, during channel coding rate is or high, corresponding MIMO receiving algorithms are
The detection algorithm of maximum-likelihood criterion, writes a Chinese character in simplified form into：Low scala media modulation system+in high code check->Using SD；
Configuration is combined as：Modulation system be it is low or in, channel coding rate be it is low, frequency diversity be low, corresponding MIMO
Receiving algorithm is the detection algorithm of maximum-likelihood criterion, is write a Chinese character in simplified form into：Low scala media modulation system+low diversity-of low bit- rate+frequency domain>It adopts
Use SD；
Configuration is combined as：Modulation system be height, channel coding rate be it is low, frequency diversity be it is low, space diversity be it is low, it is right
The MIMO receiving algorithms answered are the detection algorithm of maximum-likelihood criterion, are write a Chinese character in simplified form into：High-order modulating+low point of low bit- rate+frequency domain
The low diversity-in collection+space>Using SD.
Configuration is combined as：Modulation system be it is low or in, channel coding rate is low, during frequency diversity is or high, corresponding
MIMO receiving algorithms are linear detection algorithm, are write a Chinese character in simplified form into：High diversity-in low scala media modulation system+low bit- rate+frequency domain>Using
MMSE。
Configuration is combined as：Modulation system is height, during channel coding rate is or high, during frequency diversity is or high, space point
During collection is or high, corresponding MIMO receiving algorithms are that linear detection algorithm is write a Chinese character in simplified form into：High-order modulating+in high code check+frequency domain
High diversity-in middle high diversity+space>Using MMSE.
Although above-mentioned adaptive switchover policy rather rough, relatively single detection algorithm, progress can be facilitated complicated
The compromise of degree and error performance；And it is opposite to be based purely on the scheme that channel condition number is detected algorithm changeover, consider
Influence various factors of the SD with respect to MMSE, it is ensured that under various circumstances, it is more reasonable adaptively to switch, and preferably keeps away for terminal
Exempt to appear in that be switched to MMSE when MMSE differs larger with SD performances optimal to which performance is not achieved, and in MMSE and SD performance phases
Difference is smaller to be switched to the phenomenon that SD is to increase unnecessary complexity, can preferably trade off between performance and power saving.
In the practical progress data receiver of receiving terminal, can according to the current modulation system of receiving terminal, code check, bandwidth and
Channel correlation matrix, the selection of receiving algorithm is carried out according to flow as shown in Figure 1, it is, search above-mentioned configuration combination with
The process of correspondence between MIMO receiving algorithms, this process be easier to understand, details are not described herein.In addition, being worth
One is mentioned that, if present embodiment is applied to LTE system, modulation system and code check can directly unified modulation and coding strategies
（MCS）As judgement；Frequency diversity can be directly with the resource block for distributing to user on frequency domain（RB）Number is as judgement；Spatial domain point
Collection can use the ratio size between channel correlation matrix characteristic value as judgement, such as, LTE（36.101）Desirable MCS is
As defined in having, code rate and modulation system can be directly obtained according to some MCS；At different frequencies, distribute to user's
RB numbers be also have as defined in（As 1.4M, 10M and 20M separately include 6,50 and 100 RB）, can according to the RB numbers for distributing to user
With the frequency of direct crossover frequency diversity；Upper limit value and lower limiting value are set to characteristic value ratio（It is obtained according to emulation）, under being less than
Limit value can determine that spatial domain diversity is configured to height；It is low to can determine that spatial domain diversity is configured to more than upper limit value；It falls in lower limiting value and the upper limit
Between value, in can determine that spatial domain diversity is configured to.As it can be seen that influencing the complexity and maximum likelihood of maximum-likelihood criterion detection algorithm
The parameter value of the various factors of the bit error rate performance gain of criterion algorithm opposite linear detection algorithm is highly susceptible to obtaining, will not
Because each factor is difficult to increase the complexity of receiving algorithm due to acquisition, also make present invention use easy to spread.
In addition, it is worth noting that, in actual receiving terminal, can according to system requirements, to various configurations combine into
Step refining or merging can make adaptive switchover policy more reasonable；Such as some more typical in real system are joined
Number is refined, and the basic, normal, high diversity of frequency can be respectively by taking 1.4M, 10M, 20M as an example；The basic, normal, high diversity in space can divide
Not by taking high related, middle related, the low correlation in space as an example；Basic, normal, high rank modulation system can be respectively with QPSK, 16QAM, 64QAM
For；Above-mentioned each parameter can be combined respectively for 1/3,1/2,3/4, pass through emulation by basic, normal, high code check
Specific adaptive reception algorithm changeover strategy is obtained, is selected when receiving data for receiving terminal.Alternatively, in practical receiving terminal
In, the configuration of diversity gain, channel coding rate, modulation system is not distinguished with basic, normal, high not instead of roughly, with
Diversity gain, the segmentation value of channel coding rate, specific modulation system etc. are used as concrete configuration, can make various configurations in this way
Combination more refines, and also further makes adaptive switchover policy more reasonable.In addition, transmission>It is adaptive to switch when 2 flow data
Tactful determination process is identical as 2 streams, also repeats no more herein.
Compared with prior art, present embodiment is in the complexity and maximum likelihood for influencing maximum-likelihood criterion detection algorithm
Under the different configuration combinations of the various factors of the bit error rate performance gain of criterion algorithm opposite linear detection algorithm, by emulating,
Acquisition makes the receiving algorithm that bit error rate performance is optimal as far as possible；When bit error rate performance difference is little, select complexity low
Receiving algorithm；To obtain the correspondence between the different configuration combinations of receiving terminal and MIMO receiving algorithms；And in reality
When selecting receiving algorithm, according to the current configuration of receiving terminal, selection is calculated using linear detection algorithm or maximum-likelihood criterion detection
One of method carries out data receiver, to make receiving terminal reasonably select receiving algorithm according to actual disposition situation, makes bit error rate performance
As optimal as possible or algorithm complexity is as low as possible, achievees the purpose that take into account bit error rate performance and algorithm complexity.
Second embodiment of the present invention is related to a kind of adaptive method for switching of MIMO receiving algorithms.Second embodiment
It is further improved on the basis of first embodiment, mainly thes improvement is that：In second embodiment of the invention, adopt
Adaptive switchover policy is further refined with signal and the ratio SINR of interference and noise, makes adaptively to switch more adduction
Reason, further makes that bit error rate performance is as optimal as possible or algorithm complexity is as low as possible.
Specifically, influencing complexity and the inspection of maximum-likelihood criterion algorithm opposite linear of maximum-likelihood criterion detection algorithm
The various factors of the bit error rate performance gain of method of determining and calculating also includes：The ratio SINR of signal and interference and noise.
When emulation obtains the correspondence between different configuration combinations and MIMO receiving algorithms, it is also necessary to obtain various match
It sets under respectively being configured in combination, using the SINR intervals of maximum-likelihood criterion detection algorithm, is obtained respectively it is, needing to emulate
The lower SINR bounds using SD of configuration, for example, one of which configuration is such as：Low-order-modulated mode, middle code check, low frequency diversity,
Low spatial diversity, corresponding SINR bounds.
In the specific receiving algorithm of receiving terminal actual selection, it is also necessary to match according to judging whether current SINR belongs to correspond to
The SINR intervals being judged to using maximum-likelihood criterion detection algorithm are set down, are only fallen in interval, just selection uses
Maximum-likelihood criterion detection algorithm.That is, as shown in Fig. 2, current-configuration and the current SINR of acquisition receiving terminal, judge to work as
Whether preceding SINR belongs to the SINR intervals under being currently configured；If so, then select using maximum-likelihood criterion detection algorithm into
Row data receiver；If not, selection carries out data receiver using linear detection algorithm.
The step of various methods divide above, be intended merely to describe it is clear, when realization can be merged into a step or
Certain steps are split, multiple steps are decomposed into, as long as including identical logical relation, all in the protection domain of this patent
It is interior；To either adding inessential modification in algorithm in flow or introducing inessential design, but its algorithm is not changed
Core design with flow is all in the protection domain of the patent.
Third embodiment of the invention is related to a kind of adaptive switching device of MIMO receiving algorithms, as shown in figure 3, packet
Contain：Mapping memory module, configuration acquisition module, detection algorithm selecting module.
Mapping memory module is used to store the correspondence between different configuration combinations and MIMO receiving algorithms, wherein right
It should be related to by emulating acquisition in advance；Configuration is combined as：Influence the complexity and maximum likelihood of maximum-likelihood criterion detection algorithm
The configuration of the various factors of the bit error rate performance gain of criterion algorithm opposite linear detection algorithm is combined；MIMO receiving algorithm packets
Contain：The detection algorithm of linear detection algorithm, maximum-likelihood criterion.
Complexity and maximum-likelihood criterion algorithm the opposite linear detection of above-mentioned influence maximum-likelihood criterion detection algorithm are calculated
The various factors of the bit error rate performance gain of method includes：Diversity gain, channel coding rate, modulation system, spatial parallelism transmission
Data flow；Wherein, diversity includes：Frequency diversity and space diversity；And diversity gain, channel coding rate, modulation system
Be configured to it is following any one：It is basic, normal, high；The number of the data flow of spatial parallelism transmission is more than or equal to 2.
Mapping memory module storage correspondence can include：
Configuration is combined as：Modulation system be it is low or in, during channel coding rate is or high, corresponding MIMO receiving algorithms are
The detection algorithm of maximum-likelihood criterion；
Configuration is combined as：Modulation system be it is low or in, channel coding rate be it is low, frequency diversity be low, corresponding MIMO
Receiving algorithm is the detection algorithm of maximum-likelihood criterion；
Configuration is combined as：Modulation system be it is low or in, channel coding rate is low, during frequency diversity is or high, corresponding
MIMO receiving algorithms are linear detection algorithm；
Configuration is combined as：Modulation system be height, channel coding rate be it is low, frequency diversity be it is low, space diversity be it is low, it is right
The MIMO receiving algorithms answered are the detection algorithm of maximum-likelihood criterion；
Configuration is combined as：Modulation system is height, during channel coding rate is or high, during frequency diversity is or high, space point
During collection is or high, corresponding MIMO receiving algorithms are linear detection algorithm.
Acquisition module is configured to be currently configured for obtaining.
What the current-configuration and mapping memory module that detection algorithm selecting module is obtained according to configuration acquisition module stored
Correspondence, selection carry out data receiver using one of linear detection algorithm or maximum-likelihood criterion detection algorithm.
It is not difficult to find that present embodiment is device embodiment corresponding with first embodiment, present embodiment can be with
First embodiment is worked in coordination implementation.The relevant technical details mentioned in first embodiment still have in the present embodiment
Effect, in order to reduce repetition, which is not described herein again.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in
In first embodiment.
It is noted that each module involved in present embodiment is logic module, and in practical applications, one
A logic unit can be a physical unit, can also be a part for a physical unit, can also be with multiple physics lists
The combination of member is realized.In addition, in order to protrude the innovative part of the present invention, it will not be with solution institute of the present invention in present embodiment
The technical issues of proposition, the less close unit of relationship introduced, but this does not indicate that there is no other single in present embodiment
Member.
Four embodiment of the invention is related to a kind of adaptive switching device of MIMO receiving algorithms.4th embodiment exists
It is further improved on the basis of third embodiment, mainly thes improvement is that：In four embodiment of the invention, influence
The complexity of maximum-likelihood criterion detection algorithm and the bit error rate performance of maximum-likelihood criterion algorithm opposite linear detection algorithm increase
Benefit various factors also include：The ratio SINR of signal and interference and noise；Using the ratio SINR of signal and interference and noise
Adaptive switchover policy is further refined, it is more reasonable to make adaptively to switch, and further makes bit error rate performance as far as possible
Optimal or algorithm complexity is as low as possible.
Specifically, as shown in figure 4, mapping memory module, which also stores under respectively being configured in various configuration combinations, uses maximum seemingly
The SINR intervals of right criterion detection algorithm；Wherein, SINR intervals by emulating acquisition in advance；
Detection algorithm selecting module includes：Parameter acquiring submodule, comparison sub-module and determination sub-module；
Parameter acquiring submodule is for obtaining the current-configuration of receiving terminal and current SINR；
Whether the current SINR of comparison sub-module belongs to the SINR intervals under being currently configured；
For comparison sub-module when comparison result is to be, triggering determination sub-module selection uses maximum-likelihood criterion detection algorithm
Carry out data receiver；Comparison sub-module comparison result be it is no when, triggering determination sub-module selection using linear detection algorithm into
Row data receiver.
Since second embodiment is corresponded with present embodiment, present embodiment can be mutual with second embodiment
Match implementation.The relevant technical details mentioned in second embodiment are still effective in the present embodiment, implement second
The attainable technique effect of institute similarly may be implemented in the present embodiment in mode, no longer superfluous here in order to reduce repetition
It states.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in second embodiment.
It will be understood by those skilled in the art that the respective embodiments described above are to realize specific embodiments of the present invention,
And in practical applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
Claims (5)
1. a kind of adaptive method for switching of multiple-input and multiple-output MIMO receiving algorithms, which is characterized in that comprise the steps of：
A. emulation in advance obtains the correspondence between the different configuration combinations of receiving terminal and MIMO receiving algorithms；
B. the current-configuration for obtaining receiving terminal, according to the correspondence, selection is accurate using linear detection algorithm or maximum likelihood
Then one of detection algorithm carries out data receiver；
Wherein, the configuration is combined as：Influence the complexity and maximum-likelihood criterion algorithm phase of maximum-likelihood criterion detection algorithm
Configuration combination to the various factors of the bit error rate performance gain of linear detection algorithm；
The MIMO receiving algorithms include：The detection algorithm of linear detection algorithm, maximum-likelihood criterion；
Wherein, the complexity for influencing maximum-likelihood criterion detection algorithm and the detection of maximum-likelihood criterion algorithm opposite linear are calculated
The various factors of the bit error rate performance gain of method includes：Diversity gain, channel coding rate, modulation system, spatial parallelism transmission
Data flow；Wherein, the diversity includes：Frequency diversity and space diversity；
The diversity gain, channel coding rate, modulation system be configured to it is following any one：It is basic, normal, high；
The number of the data flow of the spatial parallelism transmission is more than or equal to 2；
The basic, normal, high configuration of the frequency diversity corresponds to 1.4M, 10M, 20M respectively；
The basic, normal, high configuration of the space diversity corresponds to related, the low correlation in space in the high related, space in space respectively；
The basic, normal, high configuration of the modulation system corresponds to QPSK, 16QAM, 64QAM respectively；
The basic, normal, high configuration of the channel coding rate corresponds to 1/3,1/2,3/4 respectively；
The number of the data flow of spatial parallelism transmission is 2；
It is described configuration combination MIMO receiving algorithms between correspondence include：
The configuration is combined as：Modulation system be it is low or in, during channel coding rate is or high, corresponding MIMO receiving algorithms are
The detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system be it is low or in, channel coding rate be it is low, frequency diversity be low, corresponding MIMO
Receiving algorithm is the detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system be it is low or in, channel coding rate is low, during frequency diversity is or high, corresponding
MIMO receiving algorithms are linear detection algorithm；
The configuration is combined as：Modulation system be height, channel coding rate be it is low, frequency diversity be it is low, space diversity be it is low, it is right
The MIMO receiving algorithms answered are the detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system is height, during channel coding rate is or high, during frequency diversity is or high, space point
During collection is or high, corresponding MIMO receiving algorithms are linear detection algorithm.
2. the adaptive method for switching of MIMO receiving algorithms according to claim 1, which is characterized in that the influence is maximum
The complexity of likelihood criterion detection algorithm and the bit error rate performance gain of maximum-likelihood criterion algorithm opposite linear detection algorithm
Various factors also includes：The ratio SINR of signal and interference and noise；
In the step A, also comprise the steps of：
Emulation in advance obtains under respectively being configured in various configuration combinations, using the SINR values area of maximum-likelihood criterion detection algorithm
Between；
Also include following sub-step in the step B：
The current-configuration of receiving terminal and current SINR are obtained, judges that the SINR whether current SINR belongs under being currently configured takes
It is worth section；If so, then selecting to carry out data receiver using maximum-likelihood criterion detection algorithm；If not, selection is using linear inspection
Method of determining and calculating carries out data receiver.
3. the adaptive method for switching of MIMO receiving algorithms according to claim 1 or 2, which is characterized in that the method
It is applied to LTE system, the modulation system and the channel coding rate are directly used uniformly modulation and are carried out with coding strategy MCS
Judge；The frequency diversity is directly judged with the resource block RB numbers for distributing to user on frequency domain；The space diversity letter
Ratio size between road correlation matrix feature value is judged.
4. a kind of adaptive switching device of MIMO receiving algorithms, which is characterized in that include：Mapping memory module, configuration obtain
Module, detection algorithm selecting module；
The mapping memory module is used to store the correspondence between different configuration combinations and MIMO receiving algorithms, wherein institute
Correspondence is stated by emulating acquisition in advance；The configuration is combined as：Influence maximum-likelihood criterion detection algorithm complexity and
The configuration of the various factors of the bit error rate performance gain of maximum-likelihood criterion algorithm opposite linear detection algorithm is combined；The MIMO
Receiving algorithm includes：The detection algorithm of linear detection algorithm, maximum-likelihood criterion；
The configuration acquisition module is currently configured for obtaining；
Current-configuration and the mapping storage mould of the detection algorithm selecting module according to the configuration acquisition module acquisition
The correspondence of block storage, selection carry out data using one of linear detection algorithm or maximum-likelihood criterion detection algorithm and connect
It receives；
Wherein, the complexity for influencing maximum-likelihood criterion detection algorithm and the detection of maximum-likelihood criterion algorithm opposite linear are calculated
The various factors of the bit error rate performance gain of method includes：Diversity gain, channel coding rate, modulation system, spatial parallelism transmission
Data flow；Wherein, the diversity includes：Frequency diversity and space diversity；
The diversity gain, channel coding rate, modulation system be configured to it is following any one：It is basic, normal, high；
The number of the data flow of the spatial parallelism transmission is more than or equal to 2；
The basic, normal, high configuration of the frequency diversity corresponds to 1.4M, 10M, 20M respectively；
The basic, normal, high configuration of the space diversity corresponds to related, the low correlation in space in the high related, space in space respectively；
The basic, normal, high configuration of the modulation system corresponds to QPSK, 16QAM, 64QAM respectively；
The basic, normal, high configuration of the channel coding rate corresponds to 1/3,1/2,3/4 respectively；
The number of the data flow of spatial parallelism transmission is 2；
The correspondence of mapping memory module storage includes：
The configuration is combined as：Modulation system be it is low or in, during channel coding rate is or high, corresponding MIMO receiving algorithms are
The detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system be it is low or in, channel coding rate be it is low, frequency diversity be low, corresponding MIMO
Receiving algorithm is the detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system be it is low or in, channel coding rate is low, during frequency diversity is or high, corresponding
MIMO receiving algorithms are linear detection algorithm；
The configuration is combined as：Modulation system be height, channel coding rate be it is low, frequency diversity be it is low, space diversity be it is low, it is right
The MIMO receiving algorithms answered are the detection algorithm of maximum-likelihood criterion；
The configuration is combined as：Modulation system is height, during channel coding rate is or high, during frequency diversity is or high, space point
During collection is or high, corresponding MIMO receiving algorithms are linear detection algorithm.
5. the adaptive switching device of MIMO receiving algorithms according to claim 4, which is characterized in that the influence is maximum
The complexity of likelihood criterion detection algorithm and the bit error rate performance gain of maximum-likelihood criterion algorithm opposite linear detection algorithm
Various factors also includes：The ratio SINR of signal and interference and noise；
It is lower using maximum-likelihood criterion detection algorithm that the mapping memory module also stores in various configuration combinations respectively configuration
SINR intervals；Wherein, the SINR intervals by emulating acquisition in advance；
The detection algorithm selecting module includes：Parameter acquiring submodule, comparison sub-module and determination sub-module；
The parameter acquiring submodule is for obtaining the current-configuration of receiving terminal and current SINR；
The comparison sub-module judges the SINR the intervals whether current SINR belongs under being currently configured；
The comparison sub-module is triggered the determination sub-module selection and is detected using maximum-likelihood criterion when comparison result is to be
Algorithm carries out data receiver；The comparison sub-module triggers the determination sub-module selection and uses line when comparison result is no
Property detection algorithm carry out data receiver.
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| CN101540661A (en) * | 2009-03-09 | 2009-09-23 | 华中科技大学 | Switching-based adaptive MIMO decoding method |
| CN102164105A (en) * | 2011-05-09 | 2011-08-24 | 东南大学 | Adaptive receiving method for multi-antenna orthogonal frequency division multiplexing system |
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