CN104253771B - Multi-parameter combined estimation method and device - Google Patents
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Abstract
The embodiment of the present invention provides a kind of multi-parameter combined estimation method and device, wherein, described device includes：Channel estimating unit, it utilizes the channel state information reference signals locally generated（CSI‑RS）Channel estimation is carried out to reception signal, obtains the channel condition information of the reception signal；Inverse fast Fourier transform unit, it is by the channel condition information from frequency-domain transform to time domain；Signal power computing unit, it calculates the signal power of the channel condition information in time domain；Combined estimator unit, it estimates time migration, delay extension and the noise power of the reception signal using the signal power of the channel condition information in the time domain.Combined estimator is carried out to the multiple parameters including time migration, delay spread and noise power by the multi-parameter combined estimation method and device of the embodiment of the present invention, the PDSCH for the R11UE for being configured as QCL type Bs demodulation performance is improved, improves the performance of data throughout.
Description
Technical field
The present invention relates to radio communication, more particularly to a kind of multi-parameter combined estimation method and device.
Background technology
In LTE-A（Long Term Evolution-Advanced, the Long Term Evolution of enhancing）The R11 of system
（Release11, version 11）In, in order to support TM10（Transmission Mode10, transmission mode 10）In multipoint cooperative
（CoMP, Coordinate Multipoint）Transmission, defines the quasi- co-located between various antenna ports（quasi co-
Location, QCL）.For serving cell, the UE configured in TM10（User Equipment, user equipment, are referred to as used
Family）It is configured as one of following two QCL types.
Type A, for PDSCH（Physical Downlink Shared CHannel, Physical Downlink Shared Channel）'s
CRS（Common Reference Signal, public reference signal）、CSI-RS（Channel State Information
Reference Signals, channel state information reference signals）And DM-RS（DeModulation Reference
Signal, demodulated reference signal）It can be assumed to be on " Doppler frequency shift, doppler spread, average delay and time delay
The quasi- co-located of extension ".
Type B, by being assumed to be for PDSCH DM-RS and specific CSI-RS on " Doppler for high level instruction
The quasi- co-located of frequency displacement, doppler spread, average delay and delay spread ".For each CSI-RS, network can
To pass through RRC（Radio Resource Control, wireless heterogeneous networks）Signaling indicate a cell CSI-RS ports and
CRS ports, the quasi- co-located on " Doppler frequency shift and doppler spread " can be assumed to be.
In some CoMP scenes, as shown in figure 1, a UE is synchronous with serving cell TP#1, meanwhile, it is concentrated from CoMP
Other transfer points（TP#2）Receive PDSCH.However, in serving cell（TP#1）With PDSCH cells（TP#2）Between may
Having time is offset（timing offset）Δt.Currently, if the UE is configured as type B, the CRS for PDSCH demodulation
It is consequently not used for estimating average delay（average delay）And delay spread（delay spread）.Therefore, it is necessary to study new
Time migration estimation method and delay spread method of estimation.
In addition, in descending CoMP, the noise and interference that CRS-RS is subject to are different from the CRS noises being subject to and interference.
CSI-RS unit is only by the noise outside CoMP collection and interference.However, the estimation based on CRS provides noise outside CoMP collection
With the summation disturbed in CoMP collection.Therefore, in TM10, noise and estimation of disturbance power based on CSI-RS are for CQI
（Channel Quality Indicator, CQI）Calculating is required.
It should be noted that the introduction to technical background above be intended merely to it is convenient technical scheme is carried out it is clear,
Complete explanation, and facilitate the understanding of those skilled in the art and illustrate.Can not merely because these schemes the present invention
Background section is set forth and thinks that above-mentioned technical proposal is known to those skilled in the art.
The content of the invention
The embodiments of the invention provide a kind of multi-parameter combined estimation method and device, to solve pointed by background technology
Problem.
First aspect according to embodiments of the present invention, there is provided a kind of multi-parameter Combined estimator device, wherein, described device
Including：
Channel estimating unit, it utilizes the channel state information reference signals locally generated（CSI-RS）Reception signal is entered
Row channel estimation, obtain the channel condition information of the reception signal；
Inverse fast Fourier transform unit, it is by the channel condition information from frequency-domain transform to time domain；
Signal power computing unit, it calculates the signal power of the channel condition information in time domain；
Combined estimator unit, it estimates the reception signal using the signal power of the channel condition information in the time domain
Time migration, delay extension and noise power.
Second aspect according to embodiments of the present invention, there is provided a kind of multi-parameter combined estimation method, wherein, methods described
Including：
Channel estimation is carried out to reception signal using the CSI-RS locally generated, obtains the channel status of the reception signal
Information；
To the channel condition information carry out inverse fast Fourier transform, by the channel condition information from frequency-domain transform to
Time domain；
Calculate the signal power of the channel condition information in time domain；
Time migration, the delay of the reception signal are estimated using the signal power of the channel condition information in the time domain
Extension and noise power.
The beneficial effect of the embodiment of the present invention is, passes through the multi-parameter combined estimation method and device of the embodiment of the present invention
Combined estimator is carried out to the multiple parameters including time migration, delay spread and noise power, improves and is configured as
The R11UE of QCL type Bs PDSCH demodulation performance, improve the performance of data throughout.
With reference to following explanation and accompanying drawing, only certain exemplary embodiments of this invention is disclose in detail, specifies the original of the present invention
Reason can be in a manner of adopted.It should be understood that embodiments of the present invention are not so limited in scope.In appended power
In the range of the spirit and terms that profit requires, embodiments of the present invention include many changes, modifications and are equal.
The feature for describing and/or showing for a kind of embodiment can be in a manner of same or similar one or more
Used in individual other embodiment, it is combined with the feature in other embodiment, or substitute the feature in other embodiment.
It should be emphasized that term "comprises/comprising" refers to the presence of feature, one integral piece, step or component when being used herein, but simultaneously
It is not excluded for the presence or additional of one or more further features, one integral piece, step or component.
Brief description of the drawings
Many aspects of the present invention may be better understood with reference to following accompanying drawing.Part in accompanying drawing is not proportional paints
System, and it is intended merely to show the principle of the present invention.For the ease of showing and describing some parts of the present invention, corresponded in accompanying drawing
Part may be exaggerated or minimized.Element and feature described in the accompanying drawing of the present invention or a kind of embodiment can be with
The element and feature shown in one or more other accompanying drawings or embodiment is combined.In addition, in the accompanying drawings, similar mark
Number corresponding part in several accompanying drawings is represented, and may be used to indicate the corresponding component used in more than one embodiment.
In the accompanying drawings：
Fig. 1 is the system model schematic diagram of CoMP scenes；
Fig. 2 is the composition schematic diagram of an embodiment of the multi-parameter Combined estimator device of the embodiment of the present invention；
Fig. 3 is the composition schematic diagram of another embodiment of the multi-parameter Combined estimator device of the embodiment of the present invention；
Fig. 4 be Fig. 2 or Fig. 3 embodiment in Combined estimator unit composition schematic diagram；
Fig. 5 is the composition schematic diagram of application case in terminal device of the embodiment of the present invention；
Fig. 6 is the schematic diagram of the multi-parameter Combined estimator scheme in time domain；
Fig. 7 is the process chart of the multi-parameter Combined estimator of Combined estimator unit；
Fig. 8 is the schematic diagram of an embodiment of time migration estimation；
Fig. 9 is the schematic diagram of another embodiment of time migration estimation；
Figure 10 is the demodulation performance schematic diagram using multi-parameter Combined estimator；
Figure 11 is the flow chart of the multi-parameter combined estimation method of the embodiment of the present invention.
Embodiment
Referring to the drawings, will be apparent by following specification, the foregoing and further feature of the embodiment of the present invention.This
A little embodiments are exemplary, are not limitations of the present invention.In order to enable those skilled in the art to easy geography
Solve the present invention principle and embodiment, embodiments of the present invention using the multi-parameter combined estimation method in lte-a system as
Example illustrate, it is to be understood that, the embodiment of the present invention is not limited to said system, for be related to multi-parameter Combined estimator its
He is applicable system.
Embodiment 1
The embodiments of the invention provide a kind of multi-parameter Combined estimator device.Fig. 2 is the composition schematic diagram of the device, please be joined
According to Fig. 2, the device includes：Channel estimating unit 21, inverse fast Fourier transform（IFFT, Inverse Fast Fourier
Transform）Unit 22, signal power computing unit 23 and Combined estimator unit 24, wherein,
Channel estimating unit 21 carries out channel estimation using the CSI-RS locally generated to reception signal, obtains the reception
The channel condition information of signal.
Wherein, the device of the present embodiment can also include a CSI-RS copies generation unit to generate CSI-RS, so as to
It is supplied to the channel estimating unit 21 of the present embodiment to carry out channel estimation accordingly.Wherein, CSI-RS copies generation unit generates
The mode of CSI-RS copies can be realized by existing means, will not be repeated here.
Wherein, the present embodiment is not intended to limit specific channel estimation methods, typically, can use ZF（Zero
Forcing, ZF）Channel estimation methods.
By the channel estimating unit 21 of the present embodiment, the channel condition information of reception signal can be obtained.
Inverse fast Fourier transform（IFFT）Unit 22 is by the channel condition information from frequency-domain transform to time domain.
Wherein, in order to carry out the Combined estimator of multi-parameter, the present embodiment by IFFT units 22 by channel condition information from
Frequency-domain transform is to time domain.
Wherein, the present embodiment is so that IFFT is converted as an example, but not in this, as limitation, it is any can be by channel condition information
Transform method from frequency-domain transform to time domain is all contained in the protection domain of the present embodiment.
Signal power computing unit 23 calculates the signal power of the channel condition information in time domain.
Wherein, the channel status in time domain can be calculated using the output of IFFT units 22, signal power computing unit 23
The signal power of information, to carry out estimating for time migration, delay extension and noise power using the signal power calculated
Meter.
Combined estimator unit 24 estimates the reception signal using the signal power of the channel condition information in the time domain
Time migration, delay extension and noise power.
Wherein, using the output of signal power computing unit 23, Combined estimator unit 24 can to comprising time migration, prolong
Multiple parameters including extension late and noise power are estimated, so as to which data are corrected and further done to reception signal
Demodulation feedback information calculating.
Wherein, specifically estimate the mode of time migration, estimate the mode of delay extension and the side of estimating noise power
Formula can be realized using existing means, can also be realized using the method that the other embodiment of the present invention provides, specifically
It will be described in detail in the examples below.
By the multi-parameter Combined estimator device of the embodiment of the present invention to including time migration, delay spread and noise work(
Multiple parameters including rate carry out Combined estimator, improve PDSCH demodulation performance, improve the performance of data throughout.
Embodiment 2
The embodiment of the present invention additionally provides a kind of multi-parameter Combined estimator device.Fig. 3 is the composition schematic diagram of the device, please
Reference picture 3, unlike the multi-parameter Combined estimator device of embodiment 1, in the present embodiment, multi-parameter Combined estimator dress
Put except comprising channel estimating unit 31, inverse fast Fourier transform（IFFT）Unit 32, signal power computing unit 33 and
Beyond Combined estimator unit 34, in addition to：Window adding device 35 and zero padding element 36, wherein,
The channel condition information addition window letter for the reception signal that window adding device 35 estimates to channel estimating unit 31
Number.
Wherein, in the present embodiment, can be by channel estimation in order to reduce the power leakage as caused by the addition of empty subcarrier
The channel estimation results of unit 31 are multiplied by some window function.The present embodiment is not any limitation as to window function here, allusion quotation
Type, Hanning window can be used.
Zero padding element 36 carries out zero padding to the channel condition information that with the addition of window function, inverse to obtain fast Fourier
The input of converter unit 32.
Wherein, zero padding be exactly to be formed 2 power side IFFT, to reduce implementation complexity.In the present embodiment, channel is estimated
Count unit 31, inverse fast Fourier transform（IFFT）Unit 32, signal power computing unit 33 and Combined estimator unit 34
The channel estimating unit 21 of function and embodiment 1, inverse fast Fourier transform（IFFT）Unit 22, signal power computing unit
23 and Combined estimator unit 24 distinguish identical, its content is incorporated in this, will not be repeated here.
By the multi-parameter Combined estimator device of the embodiment of the present invention to including time migration, delay spread and noise work(
Multiple parameters including rate carry out Combined estimator, improve PDSCH demodulation performance, improve the performance of data throughout.Phase
For embodiment 1, the use of window function can improve the estimated accuracy of each parameter.
Embodiment 3
The embodiment of the present invention additionally provides a kind of multi-parameter Combined estimator device.In the present embodiment, the multi-parameter is combined
The composition of estimation unit is identical with embodiment 1 or embodiment 2.In addition, in the present embodiment, Combined estimator unit 24/34 is specific
Estimate time migration and delay extension using the signal power sampled value in the time window in time domain, and using in time domain
Noise power sampled value estimating noise power in noise power estimation window.It can include：Time migration estimation module 41,
Delay spread estimation module 42 and noise power estimation module 43.Fig. 4 is the composition signal of the Combined estimator unit 24/34
Figure, refer to Fig. 4.
In an embodiment of time migration estimation module 41, the time migration estimation module 41 application circulation first
Displacement moves together signal power sampled value, and then the sequential selection first according to signal power sampled value from big to small is pre-
The signal power sampled value of fixed number amount, by each signal power sampled value of selection and its signal of follow-up second predetermined quantity
Power samples value is added, and the energy value of each signal power sampled value of corresponding selection is obtained, from energy value obtained above
Middle selection maximum energy value, and time offset is determined according to its corresponding arrival time.
Wherein, the second predetermined quantity is less than the first predetermined quantity, but the present embodiment is not intended to limit the first predetermined quantity and
The value of two predetermined quantities, it can preset, can also be according to other strategy decisions, and the present embodiment is not in this, as limit
System.
Wherein, if the quantity of its follow-up signal power sampled value is less than the second predetermined quantity, with its follow-up institute
There is signal power sampled value of the signal power sampled value as second predetermined quantity, computational methods are same as above, no longer superfluous herein
State.
Wherein it is determined that arrival time, you can determine therefrom that time offset, the specific mode for determining time offset
Existing means can be used, the present embodiment is not in this, as limitation.
In another embodiment of time migration estimation module 41, the time migration estimation module 41 application first follows
Ring displacement moves together signal power sampled value, the signal power sampled value of maximum is then chosen, by the letter more maximum than this
Number power samples are worth the signal power of small pre-determined threshold as signal power threshold value, will be greater than preset signals power threshold
Signal power sampled value as candidate signal power samples value, according in the candidate signal power samples value apart from initial synchronisation
The arrival time of time nearest candidate signal power samples value determines time offset.
Wherein, the present embodiment is not intended to limit the size of predetermined threshold value, and the advance threshold value can be preset, can also
According to other strategy decisions, the present embodiment is not in this, as limitation.
Wherein, it is similar with previous embodiment, it is determined that arrival time, you can to determine therefrom that time offset, specifically
Existing means can be used by determining the mode of time offset, and the present embodiment is not in this, as limitation.
In an embodiment of delay spread estimation module 42, the delay spread estimation module 42 application circulation first
Displacement moves together signal power sampled value, and then the sequential selection first according to signal power sampled value from big to small is pre-
The signal power sampled value of fixed number amount, to the energy of each signal power sampled value selected and its to newest synchronization timing
Distance is weighted average, acquisition delay spread amount.
In another embodiment of delay spread estimation module 42, the delay spread estimation module 42 is applied first
Cyclic shift moves together signal power sampled value, the signal power sampled value of maximum is then chosen, by than the maximum
The signal power of some small pre-determined threshold of signal power sampled value will be greater than preset signals power door as signal power threshold value
In the signal power sampled value of limit value, time migration corresponding to the signal power sampled value farthest apart from newest synchronization timing away from
From as delay spread amount.
In an embodiment of noise power estimation module 43, the noise power estimation module 43 is made an uproar according to default
Acoustical power estimates the original position and final position of window, to the original position and final position of the noise power estimation window
In the range of noise power sampled value be averaged, obtain noise power estimation result.
Wherein, noise power estimation window is referred to as noise window, in the present embodiment, pre-sets corresponding different system band
The original position and final position of wide noise window.Noise power estimation module 43 is in estimating noise power, according to system band
Width determines the original position and final position of its corresponding noise window, then in the range of the original position and final position, to making an uproar
Acoustical power sampled value is averaged, and obtains noise power estimation result.
In another embodiment of noise power estimation module 43, the noise power estimation module 43 is according to time delay
Expanding value determines the original position of noise power estimation window, and determines noise power according to the points of inverse fast Fourier transform
Estimate the final position of window, the noise power in the range of original position and final position to the noise power estimation window
Sampled value is averaged, and obtains noise power estimation result.
Wherein, the points of inverse fast Fourier transform are different and different according to system bandwidth, can also pre-set, this reality
Example is applied not in this, as limitation.
Wherein, the original position of noise window and final position are represented in a manner of points, this point and prior art phase
Together, will not be repeated here.
In the present embodiment, Combined estimator unit is divided into three modules to illustrate the function of its multi-parameter Combined estimator,
However, the present embodiment is in this, as limitation, for example, time migration estimation module 41 and delay spread estimation module 42 can be with
Merge and perform, correspond to respective previous embodiment, the signal power sampled value of the first predetermined quantity can be found out（Peak value）,
Then time migration and delay spread are estimated accordingly；Corresponding respective latter embodiment, can find out signal power thresholding
Value, time migration and delay spread are then estimated accordingly.In addition, two embodiments of noise power estimation module 43 can fit
Situation about being performed separately for time migration estimation module 41 and delay spread estimation module 42, is readily applicable to time migration
Estimation module 41 and delay spread estimation module 42 merge situation about performing.
In the present embodiment, time migration estimation module 41 is described respectively with two embodiments, delay spread is estimated
The function of module 42 and noise power estimation module 43, however, the present embodiment is not in this, as limitation, it is any to utilize signal work(
Rate sampled value estimates time migration and delay spread, and is all contained in using the mode of noise power sampled value estimating noise power
The protection domain of the present embodiment.
By the multi-parameter Combined estimator device of the present embodiment to existing including time migration, delay spread and noise power
Interior multiple parameters carry out Combined estimator, improve PDSCH demodulation performance, especially improve and be configured as QCL type Bs
R11UE PDSCH demodulation performance, and improve the performance of data throughout.
In order that the composition and function of the multi-parameter Combined estimator device of embodiment 1- embodiments 3 are more clear understandable, with
The multi-parameter Combined estimator device of the present embodiment is described in detail with reference to an instantiation by embodiment 4 down.
Embodiment 4
The embodiments of the invention provide a kind of terminal device.Fig. 5 is the composition schematic diagram of the terminal device, the terminal device
Multi-parameter Combined estimator device is contained, it can be realized by the multi-parameter Combined estimator device of embodiment 1- embodiments 3.
Fig. 5 is refer to, the terminal device includes：ZF channel estimating units 51, window adding device 52, zero padding element 53, IFFT are mono-
Member 54, Norm units 55, TO estimations and compensating unit 56, delay spread estimation unit 57, noise power estimation unit 58, DM-
RS channel estimating units 59, NZP CSI-RS channel estimating units 510 and CSI-RS copies generation unit 511.
Wherein, ZF channel estimating units 51, window adding device 52, zero padding element 53, IFFT units 54, Norm units
55th, TO estimations and compensating unit 56, delay spread estimation unit 57, noise power estimation unit 58 can pass through foregoing reality respectively
Apply the channel estimating unit 21/31 of example, window adding device 35, zero padding element 36, IFFT units 22/32, signal power meter
Calculate unit 23/33, time migration estimation module 41, delay spread estimation module 42, noise power estimation module 43 and realize have
Body is formed and function is described in previous embodiment 1- embodiments 3, and content something in common is not repeated to illustrate.
It refer to Fig. 5, α(p)Represent CSI-RS copies（P=15~22）.Y is the reception signal on frequency domain, and it can be represented
For formula（1）：
For ZF channel estimating units 51, as described in Example 1, it is entered using the CSI-RS locally generated to reception signal
Row channel estimation, obtain the channel condition information of the reception signal.ZF channel estimations can be represented as formula（2）：
Wherein, a is to receive branch index（0≤a≤Nrx-1）, namely the index of reception antenna number；B is to send CSI-RS ends
Stomochord draws（0≤b≤Ntx-1）, nsIt is subframe index, l is OFDM（Orthogonal Frequency Division
Multiplexing, OFDM）The index of symbol, k are the indexes of subcarrier, and m is to be located at RB（Resource
Block, resource block）CSI-RS unit in index（l,k）, 0≤m≤NRB-1。
For window adding device 52, as described in Example 2, its reception signal estimated to ZF channel estimating units 51
Channel condition information addition window function.Wherein, add window function and ZF estimated results are also multiplied by some window function, thus
The power leakage as caused by the addition of empty subcarrier can be reduced.Such as formula（3）：
Wherein, window function can be Hanning window or other window functions, and the present embodiment is not in this, as limit
System, wherein, the expression formula such as formula of Hanning window（4）It is shown：
For zero padding element 53, as described in Example 2, it carries out zero padding to the channel condition information that with the addition of window function
Fill, to obtain the input of inverse fast Fourier transform unit 54.Wherein, filling zero is exactly to form 2 power IFFT.IFFT input
Signal can be expressed as formula（5）：
Wherein, IFFT size NIFFTAs shown in table 1, it is different according to different system bandwidths, IFFT size.
Table 1
| System bandwidth（System Bandwidth） | IFFT sizes（NIFFT） |
| 1.4M | 64 |
| 3M | 64 |
| 5M | 64 |
| 10M | 64 |
| 15M | 128 |
| 20M | 128 |
For IFFT units 54, as described in Example 1, it becomes the signal after zero padding element 53 is filled from frequency domain
Change to time domain.The output signal of IFFT units can pass through formula（6）Represent.
For signal power computing unit 55, as it was previously stated, it can be calculated in time domain according to the output of IFFT units 54
Channel condition information signal power.Wherein, the IFFT of output signal power can be used to estimate timing offset, time delay
Extension and noise power.The signal power can pass through formula（7）To represent.
In the present embodiment, the signal work(of the channel condition information in time domain is calculated by signal power computing unit 55
After rate, you can implement the Combined estimator of multi-parameter.
Fig. 6 illustrates the main thought of the multi-parameter Combined estimator of the present embodiment proposition, and it can pass through embodiment 1 and reality
The Combined estimator unit 24/34 described in example 2 is applied to realize.Specifically, in time domain, the signal power sampled value quilt in T windows
For estimating time migration and delay spread.Then, based on the noise power sampled value in N windows, CSI-RS channels is calculated and are estimated
The noise power of meter.
Fig. 7 illustrates the handling process of multi-parameter Combined estimator, refer to Fig. 7, and the flow includes：
Step 701：Signaling rate sampled value is moved together using cyclic shift.T1Represent cyclic shift window length.
Step 702：Utilize the signal power sampled value estimation time migration in T windows and delay spread.
Step 703：Utilize the noise power sampled value estimating noise power in N windows.
In a step 702, estimate for time migration, can be realized with passage time bias estimation and compensating unit 56,
As described in Example 3, it is using the signal power sampled value estimation time migration in the time window in time domain, in the present embodiment
In, it is proposed that two kinds of embodiments, but the present embodiment is not in this, as limitation.In addition, estimate for the time migration and mend
The time migration compensation that unit 56 is realized is repaid, can be realized, will not be repeated here using existing compensation method.
Fig. 8 illustrates an embodiment of time migration estimation.As shown in figure 8, K is detected first（First predetermined quantity）
Individual peak value path.Corresponding path indexing and signal power sampled value are expressed as tpeakAnd V (k)peak(k), wherein, 0≤k≤K-
1.Processing procedure is as follows, wherein, TmaskRepresent mask length of window.
Handled more than, it may be determined that the path at the maximum peak of energy value, its corresponding arrival time can be expressed as
Formula（10）.Wherein, the energy value corresponding to each peak value path can be expressed as formula（9）.Wherein, KsumRepresent total window
Mouth length.
There is the arrival time in the path at the maximum peak of energy, you can time migration is determined therefrom that, specifically, can pass through
Formula（14）To represent.
Wherein, NFFT_sysFor the FFT sizes of whole system bandwidth.
Fig. 9 illustrates another embodiment of time migration estimation.As shown in figure 9, in this embodiment, define
One threshold value VTHTo find the first footpath（The maximum peak value path of energy）.Specifically it has been described in embodiment 3.Can be with
Pass through below equation（11）-（13）To represent.
td=the_first_path(V(a,ns,t)≥αTH*Vmax) （13）
Likewise, using the arrival time in first footpath, can be according to formula（14）Determine time migration.
After estimating time migration Δ t, you can compensate accordingly, the data after compensation can be expressed as formula
（15）.
In a step 702, estimate for delay spread, can be realized by delay spread estimation unit 57, its is main
For to DM-RS CHEST（Channel estimation, channel estimation）MMSE is performed with CSI-RS CHEST（Minimum
MSE, minimum MSE（Minimum Squared Error, Minimum Mean Square Error））Channel estimation.As described in Example 3, it is also profit
Extended with the signal power sampled value estimation time delay in the time window in time domain, in the present embodiment, equally propose two kinds
Embodiment, but the present embodiment is not in this, as limitation.
One of which embodiment is referred to the explanation of Fig. 8 and embodiment 3, and output result is K peak value path
Average value, namely the estimate for the delay spread being finally calculated, it is exactly that the distance of K peak value and the weighting of energy are put down
.By this way, if using the time migration estimation method shown in Fig. 9, K peak value path can also be based on the threshold value quilt
Obtain.Specifically, the estimated result of time delay expansion can pass through formula（16）-（18）To represent.
Wherein, ω (k) is the power adjusting factor.
Another embodiment is referred to the explanation of Fig. 9 and embodiment 3.The distance between the path, path and
1st footpath is maximum, it is considered to be delay spread exports.That is, relative to newest synchronization timing td, that energy farthest
Distance corresponding to sampled point is regarded as the estimate of delay spread.Formula can be expressed as（19）.
It in step 703, for noise power estimation, can be realized by noise power estimation unit 58, such as implemented
Described in example 3, it utilizes the noise power sampled value estimating noise power in the noise power estimation window in time domain.
In the present embodiment, if obtaining noise power estimation window Nwindow, noise power output can be represented as：
Vnoise(a,ns,k)=Vnoise(a,ns,(k+tleft)),(0≤k≤Nwindow-1) （20）
Nwindow=tright-tleft+1 （22）
Wherein, tleftAnd trightRepresent window edge.
Wherein, window edge can be determined by two kinds of embodiments, but the present embodiment is not in this, as limitation.
In wherein a kind of embodiment, the edge of noise window can pass through formula（25）Represent.
Wherein, TleftAnd TrightCan be as shown in table 2 by offline parameter file default settings.tdFor arriving for the first footpath
Up to the time, as previously described.
Table 2
In another embodiment, the estimated result of delay spread can be utilized to determine the edge of noise window, specifically
Formula can be passed through（26）Represent.
Wherein, TgapFor the protection interval of certain amount, specific value is determined on a case-by-case basis.
By terminal device provided in an embodiment of the present invention to including time migration, delay spread and noise power
Multiple parameters carry out Combined estimator, improve PDSCH demodulation performance, improve the performance of data throughout.
Tested based on RAN4, the performance of multi-parameter Combined estimator device provided in an embodiment of the present invention is significantly increased, and is schemed
10 illustrate the demodulation performance of the multi-parameter Combined estimator device using the embodiment of the present invention.As shown in Figure 10, in demodulation part,
There is the time migration compensation to reception signal first.Then, the delay spread estimated be used to carry out based on DM-RS's
PDSCH channel estimations.Also, the noise power estimation result of multi-parameter Combined estimator is sent to CSI feedback part to calculate
CQI.Figure 10 is illustrated under CoMP scenes, in the case of the time migration of presence service cell and PDSCH minizones, uses this
The reception solution of the multi-parameter Combined estimator device of inventive embodiments, as can be seen from Figure, the embodiment of the present invention provide
Multi-parameter Combined estimator device significantly improve throughput performance.
The embodiment of the present invention additionally provides a kind of multi-parameter combined estimation method, as described in the following examples 5, due to this
The principle that method solves problem is similar with embodiment 1-4 multi-parameter Combined estimator device, therefore its specific implementation can be joined
According to the implementation of embodiment 1-4 device, content something in common is not repeated to illustrate.
Embodiment 4
The embodiments of the invention provide a kind of multi-parameter combined estimation method.Figure 11 is the flow chart of this method, be refer to
Figure 11, this method include：
Step 1101：Channel estimation is carried out to reception signal using the CSI-RS locally generated, obtains the reception signal
Channel condition information；
Step 1102：To the channel condition information carry out inverse fast Fourier transform, by the channel condition information from
Frequency-domain transform is to time domain；
Step 1103：Calculate the signal power of the channel condition information in time domain；
Step 1104：Estimate the time of the reception signal using the signal power of the channel condition information in the time domain
Skew, delay extension and noise power.
In one embodiment, before step 1102, methods described can also include：
Step 1101a：Window function is added to the channel condition information of the reception signal；
Step 1101b：Zero padding is carried out to the channel condition information that with the addition of window function, to believe the channel status
Breath carries out inverse fast Fourier transform.
In step 1104, can utilize time domain on time window in signal power sampled value estimation time migration and
Delay extension, and utilize the noise power sampled value estimating noise power in the noise power estimation window in time domain.Specifically,
It can be realized by the method described in Fig. 7, its content is incorporated in this, will not be repeated here.
Wherein, the step of estimating time migration using the signal power sampled value in the time window in time domain has following two
Kind embodiment：
Embodiment one：Signal power sampled value is moved together using cyclic shift, according to signal power sampled value
The signal power sampled value of the predetermined quantity of sequential selection first from big to small, by each signal power sampled value of selection and
The signal power sampled value of its follow-up second predetermined quantity is added, and obtains the energy of each signal power sampled value of corresponding selection
Value, maximum energy value is selected from energy value obtained above, and time offset is determined according to its corresponding arrival time.
Embodiment two：Signal power sampled value is moved together using cyclic shift, chooses the signal power of maximum
Sampled value, will be big using the signal power of the signal power sampled value small pre-determined threshold more maximum than this as signal power threshold value
In preset signals power threshold signal power sampled value as candidate signal power samples value, according to the candidate signal work(
The arrival time of the candidate signal power samples value nearest apart from initial synchronization time determines time offset in rate sampled value.
Wherein, the step of being extended using the signal power sampled value estimation time delay in the time window in time domain has following two
Kind embodiment：
Embodiment one：Signal power sampled value is moved together using cyclic shift, according to signal power sampled value
The signal power sampled value of the predetermined quantity of sequential selection first from big to small, to each signal power sampled value for selecting
The distance of energy and its arrival time offset is weighted average, acquisition delay spread amount.
Embodiment two：Signal power sampled value is moved together using cyclic shift, chooses the signal power of maximum
Sampled value, using the signal power of signal power sampled value small some pre-determined threshold more maximum than this as signal power threshold value,
In the signal power sampled value that will be greater than preset signals power threshold, the signal power farthest apart from newest synchronization timing sampling
The distance of value and the time offset is as delay spread amount.
Wherein, using the noise power sampled value estimating noise power in the noise power estimation window in time domain the step of
There are following two embodiments：
Embodiment one：According to the original position and final position of default noise power estimation window, to the noise
Noise power sampled value in the range of the original position and final position of power estimation window is averaged, and is obtained noise power and is estimated
Count result.
Embodiment two：The original position of noise power estimation window is determined according to delay spread value, and according to quick Fu
In leaf inverse transformation points determine noise power estimation window final position, to the start bit of the noise power estimation window
Put and be averaged with the noise power sampled value in the range of final position, obtain noise power estimation result.
By method provided in an embodiment of the present invention to more including time migration, delay spread and noise power
Individual parameter carries out Combined estimator, improves PDSCH demodulation performance, improves the performance of data throughout.
Apparatus and method more than of the invention can be realized by hardware, can also be realized by combination of hardware software.The present invention
It is related to such computer-readable program, when the program is performed by logical block, can realizes the logical block above
Described device or component parts, or the logical block is realized various methods or step described above.Logical block is for example
Processor used in field programmable logic part, microprocessor, computer etc..The invention further relates to for storing above journey
The storage medium of sequence, such as hard disk, disk, CD, DVD, flash memory.
Above in association with specific embodiment, invention has been described, it will be appreciated by those skilled in the art that this
A little descriptions are all exemplary, are not limiting the scope of the invention.Those skilled in the art can be according to the present invention
Spirit and principle various variants and modifications are made to the present invention, these variants and modifications are also within the scope of the invention.
Claims (8)
1. a kind of multi-parameter Combined estimator device, wherein, described device includes：
Channel estimating unit, it carries out letter using the channel state information reference signals (CSI-RS) locally generated to reception signal
Road is estimated, obtains the channel condition information of the reception signal；
Inverse fast Fourier transform unit, it is by the channel condition information from frequency-domain transform to time domain；
Signal power computing unit, it calculates the signal power of the channel condition information in time domain；
Combined estimator unit, its using the signal power of the channel condition information in the time domain estimate the reception signal when
Between skew, delay extension and noise power,
Wherein, described device also includes：
Window adding device, the channel condition information addition window of its reception signal estimated to the channel estimating unit
Function；
Zero padding element, it carries out zero padding to the channel condition information that with the addition of window function, to obtain the fast Fourier
The input of inverse transformation block.
2. device according to claim 1, wherein, the Combined estimator unit utilizes the letter in the time window in time domain
The estimation time migration of number power samples value and delay extension, and utilize the noise power in the noise power estimation window in time domain
Sampled value estimating noise power.
3. device according to claim 2, wherein, the Combined estimator unit includes：
Time migration estimation module, signal power sampled value is moved together, adopted according to signal power by it using cyclic shift
The signal power sampled value of the predetermined quantity of sequential selection first of sample value from big to small, each signal power of selection is sampled
Value and its signal power sampled value of follow-up second predetermined quantity are added, and obtain each signal power sampled value of corresponding selection
Energy value, maximum energy value is selected from energy value obtained above, and determine that the time is inclined according to its corresponding arrival time
Shifting amount；Or it moves together signal power sampled value using cyclic shift, the signal power sampled value of maximum is chosen,
Using the signal power of the signal power sampled value small pre-determined threshold more maximum than this as signal power threshold value, default letter will be greater than
The signal power sampled value of number power threshold is as candidate signal power samples value, according to the candidate signal power samples value
The arrival time of the middle candidate signal power samples value nearest apart from initial synchronization time determines time offset.
4. device according to claim 2, wherein, the Combined estimator unit includes：
Delay spread estimation module, signal power sampled value is moved together, adopted according to signal power by it using cyclic shift
The signal power sampled value of the predetermined quantity of sequential selection first of sample value from big to small, each signal power selected is sampled
The energy of value and its distance of arrival time offset are weighted average, acquisition delay spread amount；Or its application circulation moves
Position moves together signal power sampled value, chooses the signal power sampled value of maximum, the signal power more maximum than this is adopted
The signal power of some small pre-determined threshold of sample value will be greater than the signal of preset signals power threshold as signal power threshold value
In power samples value, the distance of the signal power sampled value farthest apart from newest synchronization timing and the time offset as when
Prolong propagation.
5. device according to claim 2, wherein, the Combined estimator unit includes：
Noise power estimation module, it is according to the original position and final position of default noise power estimation window, to described
Noise power sampled value in the range of the original position and final position of noise power estimation window is averaged, and obtains noise work(
Rate estimated result；Or it determines the original position of noise power estimation window according to delay spread value, and according in quick Fu
The points of leaf inverse transformation determine the final position of noise power estimation window, to the original position of the noise power estimation window
It is averaged with the noise power sampled value in the range of final position, obtains noise power estimation result.
6. a kind of multi-parameter combined estimation method, wherein, methods described includes：
Channel estimation is carried out to reception signal using the CSI-RS locally generated, obtains the channel status letter of the reception signal
Breath；
To the channel condition information carry out inverse fast Fourier transform, by the channel condition information from frequency-domain transform then
Domain；
Calculate the signal power of the channel condition information in time domain；
Estimate time migration, the delay extension of the reception signal using the signal power of the channel condition information in the time domain
And noise power,
Wherein, methods described also includes：
Window function is added to the channel condition information of the reception signal；
Zero padding is carried out to the channel condition information that with the addition of window function, to be carried out to the channel condition information in quick Fu
Leaf inverse transformation.
7. according to the method for claim 6, wherein, estimated using the signal power of the channel condition information in the time domain
The step of time migration of the reception signal, delay extension and noise power, includes：
Using the estimation time migration of signal power sampled value and delay extension in the time window in time domain, and using in time domain
Noise power estimation window in noise power sampled value estimating noise power.
8. the method according to claim 11, wherein,
The step of estimating time migration using the signal power sampled value in the time window in time domain includes：Using cyclic shift
Signal power sampled value is moved together, according to the predetermined quantity of sequential selection first of signal power sampled value from big to small
Signal power sampled value, each signal power sampled value of selection and its signal power of follow-up second predetermined quantity are sampled
Value is added, and is obtained the energy value of each signal power sampled value of corresponding selection, is selected most from energy value obtained above
Big energy value, and time offset is determined according to its corresponding arrival time；Or signal power is sampled using cyclic shift
Value moves together, and the signal power sampled value of maximum is chosen, by the signal power sampled value small pre-determined threshold more maximum than this
Signal power as signal power threshold value, as candidate believe by the signal power sampled value that will be greater than preset signals power threshold
Number power samples value, is adopted according to candidate signal power nearest apart from initial synchronization time in the candidate signal power samples value
The arrival time of sample value determines time offset；
The step of being extended using the signal power sampled value estimation time delay in the time window in time domain is included：Using cyclic shift
Signal power sampled value is moved together, according to the predetermined quantity of sequential selection first of signal power sampled value from big to small
Signal power sampled value, the energy of each signal power sampled value and its distance of arrival time offset selected are carried out
Weighted average, obtain delay spread amount；Or move together signal power sampled value using cyclic shift, choose maximum
Signal power sampled value, using the signal power of signal power sampled value small some pre-determined threshold more maximum than this as signal work(
Rate threshold value, in the signal power sampled value that will be greater than preset signals power threshold, the letter farthest apart from newest synchronization timing
The distance of number power samples value and the time offset is as delay spread amount；
Included using the step of noise power sampled value estimating noise power in the noise power estimation window in time domain：According to
The original position and final position of default noise power estimation window, to the original position of the noise power estimation window and
Noise power sampled value in the range of final position is averaged, and obtains noise power estimation result；Or according to delay spread
Value determines the original position of noise power estimation window, and determines noise power estimation according to the points of inverse fast Fourier transform
The final position of window, the noise power sampling in the range of the original position and final position to the noise power estimation window
Value is averaged, and obtains noise power estimation result.
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