CN103326743A - Method and device for acquiring merging weight - Google Patents
Method and device for acquiring merging weight Download PDFInfo
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Abstract
The invention provides a method and device for acquiring merging weight. The method comprises the steps of selecting a time quantum used for calculating channel estimated values of a channel, calculating the channel estimated values of the channel in the time quantum, carrying out interpolation calculation on the channel estimated values, and obtaining merging weight of a receiver according to the channel estimated values obtained after the interpolation calculation. According to the technical scheme, the technical problems that in the prior art, merging weight updating speed is slow, and channel changes can not be accurately reflected are solved, merging weight updating speed is improved, the granularity of merging weight is made to be smaller, and therefore a fading channel capable of resisting quick time varying and a certain extent of residual frequency offset can be achieved, and the error rate of the receiver is lowered.
Description
Technical field
The present invention relates to the communications field, in particular to a kind of acquisition methods and device that merges weight.
Background technology
In code division multiple access system, Rake (Rake) receiver is widely used.The Rake receiver carries out descrambling and de-spreading to the multipath that searches, and then carries out high specific with certain weight and merges.Common merging weight is the conjugation of the channel guess value of a certain multipath.Along with the development of senior receiver technology, merge multipath and no longer be confined to the energy footpath that searches, also have the noise path of some.At this moment, merging weight no longer is channel guess value, obtains and be based on certain algorithm, for example least mean-square error (MMSE) or senior Rake receiver (Arake).The Arake receiver is the expansion of Rake receiver, and the multipath number that it merges is more than the number of true multipath, and the part that has more is called noise path.Certainly, merging weight remains take channel guess value as the basis.No matter be Rake receiver or senior receiver, the calculating that merges weight is all most important, is determining the final error rate.
For to antinoise, channel guess value generally all is average result in a period of time, and the channel guess value after average can be applied in this time period.When channel becomes when being quick, or when larger residual frequency departure is arranged, the channel response in the average time section becomes when also being.It is inappropriate that a constant channel guess value is applied to this time period, can't accurately reflect channel variation.The error rate can improve when becoming when channel is quick, for example the vehicle-mounted mobile platform.When having larger residual frequency departure, then cause the rotation of planisphere.
For the problems referred to above in the correlation technique, effective solution is proposed not yet at present.
Summary of the invention
Slow for the merging weight renewal speed that exists in the correlation technique, can't accurately reflect the technical problems such as channel variation, the invention provides a kind of acquisition methods and device that merges weight, to solve the problems of the technologies described above at least.
According to an aspect of the present invention, provide a kind of acquisition methods that merges weight, comprised; Choose the time period for the channel guess value that calculates channel; Calculate the channel guess value of described channel in the described time period; Described channel guess value is carried out interpolation arithmetic, and obtain the merging weight of receiver according to the channel guess value that carries out obtaining behind the interpolation arithmetic.
Above-mentioned receiver is Rake Rake receiver; Obtain the merging weight of receiver according to the channel guess value that carries out obtaining behind the interpolation arithmetic, comprising: the channel guess value that carries out obtaining behind the interpolation arithmetic is carried out conjugate operation, obtain the merging weight of described Rake receiver.
Above-mentioned receiver is senior Rake Arake receiver; Before described channel guess value was carried out interpolation arithmetic, said method also comprised: the initial merging weight of obtaining described Arake receiver;
Obtain the merging weight of receiver according to the channel guess value that carries out obtaining behind the interpolation arithmetic, comprise: take described initial merging weight as initial value, input take the channel guess value that carries out obtaining behind the interpolation arithmetic as sef-adapting filter, described initial merging weight is adjusted, obtained the merging weight of the described Arake receiver behind the interpolation arithmetic.
Obtain the merging weight of the described Arake receiver behind the interpolation arithmetic by following iterative process, comprising:
w(0)
e(n)＝d(n)-w
H(n)u(n)
W (n+1)=w (n)+k (n) e
*(n), wherein, w (0) is described initial merging weight, and w (n) is the n time merging weight after the iteration, w
H(n) conjugate transpose of expression w (n), the channel guess value of u (n) for carrying out obtaining behind the interpolation arithmetic, d (n) is the desired value of described sef-adapting filter output, e (n) is error for the difference between described sef-adapting filter output and the desired value, the conjugation of e (n) expression e (n), k (n) upgrades vector for weight.
In described iterative process, described method also comprises: the described error amount in the current iteration process is during greater than the error amount of a front iteration, regenerates that described weight is upgraded vector so that iterative process is tending towards convergence.
Described iterative process is jumped out described iterative process: the iterations arrival predetermined threshold value of described iterative process when satisfying one of following condition; Described error amount satisfies the predetermined condition of jumping out iterative process.
Above-mentioned channel is linear change within the described time period of choosing.
Described channel guess value is carried out interpolation arithmetic, comprising: adopt linear Based on Interpolating Spline that described channel guess value is carried out interpolation arithmetic.
According to another aspect of the present invention, provide a kind of deriving means that merges weight, be arranged in receiver, comprised; Choose module, be used for choosing the time period for the channel guess value that calculates channel; Computing module is used for calculating the channel guess value of described channel in the described time period; Interpolating module is used for described channel guess value is carried out interpolation arithmetic; Acquisition module is used for the merging weight according to the channel guess value acquisition receiver that carries out obtaining behind the interpolation arithmetic
Above-mentioned acquisition module also is used for the channel guess value that carries out obtaining behind the interpolation arithmetic is carried out conjugate operation, obtains the merging weight of Rake Rake receiver.
Above-mentioned acquisition module comprises: the first acquiring unit, be used for described channel guess value is carried out before the interpolation arithmetic, and obtain the initial merging weight of senior Rake Arake receiver; Second acquisition unit, be used for take described initial merging weight as initial value, input take the channel guess value that carries out obtaining behind the interpolation arithmetic as sef-adapting filter is adjusted described initial merging weight, obtains the merging weight of the described Arake receiver behind the interpolation arithmetic.
By the present invention, the channel guess value of employing after based on interpolation obtains the technical scheme that merges weight, solved in the correlation technique, the merging weight renewal speed that exists is slow, can't accurately reflect the technical problems such as channel variation, improve merging weight renewal speed, and make the granularity that merges weight less, can resist the fading channel that becomes when quick and to a certain degree residual frequency departure thereby reached, reduce the error rate of receiver.
Description of drawings
Accompanying drawing described herein is used to provide a further understanding of the present invention, consists of the application's a part, and illustrative examples of the present invention and explanation thereof are used for explaining the present invention, do not consist of improper restriction of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart according to the acquisition methods of the merging weight of the embodiment of the invention;
Fig. 2 divides average interval schematic diagram to quick time-varying channel according to the preferred embodiment of the invention;
Fig. 3 is the schematic diagram that obtains according to the preferred embodiment of the invention average interval interior average channel valuation;
Fig. 4 is the principle schematic of adaptive-filtering according to the preferred embodiment of the invention;
Fig. 5 is for to adopt linear Based on Interpolating Spline to carry out the schematic diagram of interpolation according to the preferred embodiment of the invention;
Fig. 6 is the principle schematic based on the adaptive-filtering after the optimization embodiment illustrated in fig. 4;
Fig. 7 is the structured flowchart according to the deriving means of the merging weight of the embodiment of the invention;
Fig. 8 is the structured flowchart based on acquisition module embodiment illustrated in fig. 7;
Fig. 9 is that high specific merges the structural representation of the device of weight according to the preferred embodiment of the invention;
Figure 10 is for adopting according to the preferred embodiment of the invention LMS to realize the principle schematic of adaptive-filtering.
Embodiment
Hereinafter also describe in conjunction with the embodiments the present invention in detail with reference to accompanying drawing.Need to prove, in the situation that do not conflict, embodiment and the feature among the embodiment among the application can make up mutually.
Fig. 1 is the flow chart according to the acquisition methods of the merging weight of the embodiment of the invention.As shown in Figure 1, the method comprises:
Step S102 chooses the time period for the channel guess value that calculates channel;
Step S104 calculates the channel guess value of described channel in the described time period;
Step S106 carries out interpolation arithmetic to described channel guess value, and obtains the merging weight of receiver according to the channel guess value that carries out obtaining behind the interpolation arithmetic.
That become when no matter whether channel is quick or larger residual frequency departure is arranged, all can adopt above-mentioned processing procedure to obtain the merging weight of receiver.Especially when channel becomes when being quick or larger residual frequency departure is arranged, can solve owing to merging the technical problem that the weight renewal speed can't accurately reflect channel variation slowly, make merging weight (for example high specific merging weight) renewal speed faster, granularity is less, the fading channel that can opposing becomes when quick and residual frequency departure have to a certain degree reduced the error rate of receiver.
In step S102 and step S104, can adopt following processing procedure to realize: when channel is, to become, as shown in Figure 2, choose certain average interval (being the time period), so that channel variation is approximately linear in should the interval.What the channel guess value after this moment is average reflected is the channel response at average time slot center.Based on the hypothesis of approximately linear, channel guess value is carried out the granularity that interpolation (for example adopting linear Based on Interpolating Spline to carry out interpolation) reduces channel guess value.
In step S106, can adopt following processing procedure that channel guess value is carried out interpolation:
As shown in Figure 3, suppose that the average window time of channel guess value is T, what so average result reflected is the channel response of window center position, makes window center position manipulative indexing n1, n2, and n3, corresponding channel guess value is w
N1, w
N2, w
N3Adopt linear spline algorithms to carry out interpolation, make that the location of interpolation index is n.
If n1, the window that n2 is corresponding are respectively first and last average window, then for n＜n1 or n＞n3, interpolation belongs to extrapolation, and for n1≤n≤n3, interpolation belongs to interpolation.Extrapolation belongs to prediction, so extrapolation method must meet known trend, otherwise error can be larger.Known trend is: frequency deviation or decline can cause the rotation of channel guess value, but turn not too large in average window inward turning, can be similar to a curve.
In step S106, the scheme of obtaining that merges weight is different for Rake receiver (or being called common Rake receiver) with senior Rake receiver.Particularly,
When receiver was Rake Rake receiver, above-mentioned merging weight can be obtained by following processing procedure: the channel guess value that carries out obtaining behind the interpolation arithmetic is carried out conjugate operation, obtain the merging weight of described Rake receiver.And because channel guess value is (being similar to) linear change, therefore, the merging weight of Rake receiver also satisfies linear relationship, like this, can directly apply to high specific for the channel guess value after the interpolation and merge.
When receiver was senior Rake Arake receiver, above-mentioned merging weight can be obtained by following processing procedure: before described channel guess value is carried out interpolation arithmetic, obtain the initial merging weight of described Arake receiver; Take described initial merging weight as initial value, the input take the channel guess value that carries out obtaining behind the interpolation arithmetic as sef-adapting filter is adjusted described initial merging weight, obtains the merging weight of the described Arake receiver behind the interpolation arithmetic.
Wherein, can obtain by following iterative process the merging weight of the described Arake receiver behind the interpolation arithmetic, comprise:
w(0)
e(n)＝d(n)-w
H(n)u(n)
w(n+1)＝w(n)+k(n)e
*(n)
Wherein, w (0) is described initial merging weight, and w (n) is the n time merging weight after the iteration, w
H(n) conjugate transpose of expression w (n), the channel guess value of u (n) for carrying out obtaining behind the interpolation arithmetic, d (n) is the desired value of described sef-adapting filter output, e (n) is error for the difference between described sef-adapting filter output and the desired value, the conjugation of e (n) expression e (n), k (n) upgrades vector for weight.Different adaptive algorithms has the different forms of expression.
Generally speaking, as shown in Figure 4, the input of sef-adapting filter is the training sequence that receives, because the desired value of training sequence is known.The slip of the training sequence of process certain-length, the coefficient of transversal filter can tend towards stability.In above-mentioned iterative process, the input of sef-adapting filter is the channel guess value after the interpolation, is exactly channel impulse response in fact, and namely training sequence is equivalent to a unit pulse function.Through behind the channel fading, the signal u that receives (namely carry out obtain behind the interpolation arithmetic channel guess value) no longer is impulse function, but can be reduced to unit pulse function through expectation after the horizontal filtering.So, if power normalizing w
HThe output of u just should equal 1, power not in the situation of normalizing at least the imaginary part of output valve be zero.So the desired value of filter output is w
HThe real part of u, error amount is:
e(n)＝-i*imag(w
Hu)
Wherein imag represents imaginary part, i.e. imaginary part in the plural number." i " is imaginary unit, and it is a square root of " 1 ".
In above-mentioned iterative process, because weight is upgraded the vectorial convergence process that has determined above-mentioned iterative process, in order to guarantee convergence rate, therefore, need the consideration weight to upgrade the generation of vector, the generation of weight renewal vector need to be considered the convergence process of error amount.Initial weight upgrades the generation of vector take the maximization convergence rate as principle, in case find that (or in current iteration process) error amount is greater than the error amount of a front iteration in certain iterative process, namely do not restrain, then need to regenerate weight renewal vector so that iterative process is tending towards convergence.
In order to control computation complexity, when the Output rusults (channel guess value after the interpolation) of sef-adapting filter needs the finishing iteration process when meeting the demands, above-mentioned iterative process can be jumped out described iterative process: the iterations arrival predetermined threshold value of described iterative process when satisfying one of following condition; Described error amount satisfies the predetermined condition of jumping out iterative process.
In step S102, in order to make the merging weight also present linear change, within the above-mentioned time period of choosing, the characteristic of channel can be linear change, linear change herein can be the linear change that allows in the deviation range certain, is not limited to absolute linear change.
Above-mentioned channel guess value is carried out interpolation arithmetic can adopt multiple interpolation algorithm, in a preferred embodiment of the present invention, preferably adopt linear Based on Interpolating Spline that described channel guess value is carried out interpolation arithmetic.
As shown in Figure 5, what linear spline interpolation was different from linear fit is, the former connects into line segment with sampled point to obtain interpolated point, and line segment is stretched out obtains the extrapolation point.This interpolation algorithm is:
In order to understand better the adaptive-filtering process (iterative process) in above-described embodiment, the principle of following this process of brief description.
As shown in Figure 6, the adaptive filtration theory after the optimization is as follows, in this prioritization scheme, has increased adaptive iteration escape mechanism and weight and has upgraded vectorial generation mechanism.Specific as follows:
Step (1): channel guess value is carried out interpolation, the corresponding sef-adapting filter of channel guess value after each group interpolation;
Step (2): utilize channel guess value after the interpolation to calculate initial weight and upgrade vector;
Step (3): all the channel guess value u directly to some moment carry out horizontal filtering, and filter factor is current merging weight w_now, i.e. sum (u.*conj (w_now)); Wherein sum is summation, and conj is conjugate operation, and " .* " is point multiplication operation, and namely two vectorial corresponding elements multiply each other.
Step (4): the imaginary part of getting the result of horizontal filtering is error, satisfy e (n)=-i*imag (w
HU);
Step (5): if satisfy maximum iteration time or jump out condition (being that error satisfies condition) then jump out iteration;
Step (6): if satisfy the condition of jumping out, then final weighted value is the weight of last iteration, otherwise is the weighted value of last iteration when jumping out iteration;
Step (7): if continue iteration then and then judge whether this iteration disperses, if disperse, then regenerate weight and upgrade vector, ignore this iteration; Otherwise renewal weighted value;
Step (8): the renewal of current merging weighted value, satisfy following formula:
w(0)
e(n)＝d(n)-w
H(n)u(n)
w(n+1)＝w(n)+k(n)e
*(n)；
Step (9): if continue iteration then repeating step (3)～step (8).
A kind of deriving means that merges weight also is provided in the present embodiment, and this device is arranged in receiver, is used for realizing above-described embodiment and preferred implementation, has carried out repeating no more of explanation, and the below describes relating to module in this device.As used below, the combination of software and/or the hardware of predetermined function can be realized in term " module ".Although the described device of following examples is preferably realized with software, hardware, perhaps the realization of the combination of software and hardware also may and be conceived.Fig. 7 is the structured flowchart according to the deriving means of the merging weight of the embodiment of the invention.As shown in Figure 7, this device comprises:
Choose module 70, be connected to computing module, be used for choosing the time period for the channel guess value that calculates channel;
As described in the said method embodiment, the scheme of obtaining that merges weight is different for Rake receiver (or being called common Rake receiver) with senior Rake receiver.For the Rake receiver, can adopt following scheme to realize: acquisition module 76, also be used for the channel guess value that carries out obtaining behind the interpolation arithmetic is carried out conjugate operation, obtain the merging weight of Rake receiver.
To merge weight and also present linear change in order to make, choosing in the above-mentioned time period that module 70 chooses, the characteristic of channel can be linear change, and linear change herein can be the linear change that allows in the deviation range certain, is not limited to absolute linear change.
For senior Rake (Arake) receiver, can adopt following scheme to realize: as shown in Figure 8, above-mentioned acquisition module 76 comprises:
The first acquiring unit 760 is used for described channel guess value is carried out before the interpolation arithmetic, obtains the initial merging weight of senior Rake Arake receiver;
Describe in detail below in conjunction with preferred embodiment and relevant drawings in order to understand better above-described embodiment.Need to prove, in following examples, relate generally to Wideband Code Division Multiple Access (WCDMA) access (Wideband Code Division Multiple Access is referred to as WCDMA) band receiver of base technology, especially relevant with channel estimation and equalization in the Rake receiver.Following examples are described the interpolation scheme that a kind of high specific merges weight in detail.
As shown in Figure 9, the device of high specific merging weight comprises with lower module:
Control channel descrambling and de-spreading module 90: be used for that control channel is done descrambling and de-spreading and process descrambling and de-spreading resource of each bar multipath.
Data channel descrambling and de-spreading module 92: be used for that data channel is done descrambling and de-spreading and process, descrambling and de-spreading resource of each bar multipath comprises energy footpath and noise path.
Channel estimation module 94: the channel response that is used for estimating each bar multipath.
Senior receiver merges weight computation module 96: for the merging weight of calculating energy footpath with noise path, then be used for calculating all tap coefficients of transversal filter in the MMSE receiver in Arake.Here make a general reference all merging weight calculation different from the Rake receiver, the merging weight that calculates is not equal to the conjugation of channel guess value.
High specific merges module 98: the sign level data of the multipath that needs are merged is carried out high specific and is merged.
Demodulation coding module 100: the high specific amalgamation result is carried out demodulation, decoding, the information bit of acquisition transmitting terminal.
The linear interpolation module 102 of channel guess value: the channel estimating after average is carried out interpolation, obtain the less channel guess value of granularity.
Adaptive-filtering interpolating module 104: the result who merges weight calculation with senior receiver is as initial value, and the channel guess value after the interpolation is combined weight adjustment as the input of sef-adapting filter by adaptive iteration, obtains the merging weight after the interpolation.
The descrambling and de-spreading module of control, data channel, the necessary module of whole channel estimation and equalization that channel estimating and senior receiver merging weight computation module, high specific have merged module, demodulation coding module composition, the interpolation of channel guess value and adaptive-filtering interpolation then are the nucleus modules that merges the weight interpolation, be used for improving systematic function, opposing quick time-varying channel and residual frequency departure.
Need to prove, the linear interpolation module 102 of the channel guess value in the present embodiment is equivalent to choose module 70, computing module 72 and interpolating module 74 in above-described embodiment; Adaptive-filtering interpolating module 104 in the present embodiment is equivalent to the acquisition module 76 in above-described embodiment.
Below illustrate that based on the principle in embodiment illustrated in fig. 9 high specific merges the handling process of weight:
The first step: all multipaths are carried out the descrambling and de-spreading of control channel, data channel, obtain sign level data.
Second step: the symbol data to control channel is processed, and obtains the channel guess value in every footpath, and averages in average window.
The 3rd step: the channel statistics such as channel guess value that utilize second step to obtain calculate the merging weight of senior receiver.
The 4th step: the channel guess value that second step is obtained carries out linear spline interpolation, and the Rake receiver after the acquisition interpolation merges weight, satisfies following formula:
The 5th step: the channel guess value after the interpolation that obtains take the 4th step is as input, and the merging weight of the senior receiver that obtains take the 3rd step is carried out the adaptive-filtering interpolation as initial value, and the senior receiver that obtains after the interpolation merges weight.
The 6th step: the symbol data that needs is merged the data channel of multipath carries out the high specific merging, merges weight from the 4th step or the 5th step.
The 7th step: the data after being combined are carried out demodulation and decoding, the acquired information bit.
The 5th step further was split as following steps, and as shown in figure 10, adaptive-filtering adopts LMS to realize, the iterative formula of LMS adaptive-filtering is:
w(0)
e(n)＝d(n)-w
H(n)u(n)
w(n+1)＝w(n)+μu(n)e
*(n)
μ is iteration step length, and μ u (n) has consisted of weight and upgraded vectorial k (n).
Step 1: channel guess value is carried out interpolation, senior receiver is merged granularity after weight copies to interpolation, the channel guess value after each group interpolation consists of a LMS adaptive-filtering.
Step 2: utilize the channel guess value u after the interpolation to calculate initial step length, satisfy
Wherein S is the maximum of the power spectral density of input u, and N is filter order, and mean represents to get average, uses mean{|u|
2* 3 is similar to S.
Step 3: all the channel guess value u directly to some moment carry out horizontal filtering, and filter factor is current merging weight
Step 4: the imaginary part of getting the result of horizontal filtering is error, satisfy e (n)=-i*imag (w
HU)
Step 5: if satisfy maximum iteration time or jump out condition then jump out the LMS iteration, the condition of jumping out is
Wherein th is threshold value, and e is error amount.Wherein real is the real part in the plural number, and imag is imaginary part.
Step 6: if satisfy the condition of jumping out, then final weighted value is the weight of last iteration, otherwise is the weighted value of last iteration when jumping out iteration
Step 7: if continue iteration then and then judge whether this iteration disperses, namely satisfy
|e(n)|＞|e(n-1)|
If disperse, step-length regenerates weight and upgrades vector except 2; Otherwise upgrade a front weighted value and a front iteration error, even a front weight equals current weight, a front iteration error equals error current.
Step 8: the renewal of current merging weighted value, satisfy following formula:
w(0)
e(n)＝d(n)-w
H(n)u(n)
w(n+1)＝w(n)+μu(n)e
*(n)。
Step 9: if continue iteration then repeating step 3～step 8.
In another embodiment, also provide a kind of software, this software be used for to be carried out the technical scheme that above-described embodiment and preferred implementation are described.
In another embodiment, also provide a kind of storage medium, stored above-mentioned software in this storage medium, this storage medium includes but not limited to: CD, floppy disk, hard disk, scratch pad memory etc.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with general calculation element, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the storage device and be carried out by calculation element, and in some cases, can carry out step shown or that describe with the order that is different from herein, perhaps they are made into respectively each integrated circuit modules, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (11)
1. an acquisition methods that merges weight is characterized in that, comprises;
Choose the time period for the channel guess value that calculates channel;
Calculate the channel guess value of described channel in the described time period;
Described channel guess value is carried out interpolation arithmetic, and obtain the merging weight of receiver according to the channel guess value that carries out obtaining behind the interpolation arithmetic.
2. method according to claim 1 is characterized in that, described receiver is Rake Rake receiver; Obtain the merging weight of receiver according to the channel guess value that carries out obtaining behind the interpolation arithmetic, comprising:
The channel guess value that carries out obtaining behind the interpolation arithmetic is carried out conjugate operation, obtain the merging weight of described Rake receiver.
3. method according to claim 1 is characterized in that, described receiver is senior Rake Arake receiver;
Before described channel guess value was carried out interpolation arithmetic, described method also comprised: the initial merging weight of obtaining described Arake receiver;
Obtain the merging weight of receiver according to the channel guess value that carries out obtaining behind the interpolation arithmetic, comprise: take described initial merging weight as initial value, input take the channel guess value that carries out obtaining behind the interpolation arithmetic as sef-adapting filter, described initial merging weight is adjusted, obtained the merging weight of the described Arake receiver behind the interpolation arithmetic.
4. method according to claim 3 is characterized in that, obtains the merging weight of the described Arake receiver behind the interpolation arithmetic by following iterative process, comprising:
w(0)
e(n)＝d(n)-w
H(n)u(n)
w(n+1)＝w(n)+k(n)e
*(n)
Wherein, w (0) is described initial merging weight, and w (n) is the n time merging weight after the iteration, w
H(n) conjugate transpose of expression w (n), the channel guess value of u (n) for carrying out obtaining behind the interpolation arithmetic, d (n) is the desired value of described sef-adapting filter output, and e (n) is error for the difference between described sef-adapting filter output and the desired value, e
*(n) conjugation of expression e (n), k (n) upgrades vector for weight.
5. method according to claim 4 is characterized in that, in described iterative process, described method also comprises:
Described error amount in the current iteration process is during greater than the error amount of a front iteration, regenerates that described weight is upgraded vector so that iterative process is tending towards convergence.
6. method according to claim 4 is characterized in that, described iterative process during condition, is jumped out described iterative process one of below satisfying:
The iterations of described iterative process arrives predetermined threshold value;
Described error amount satisfies the predetermined condition of jumping out iterative process.
7. method according to claim 1 is characterized in that, described channel is linear change within the described time period of choosing.
8. according to claim 1 to 7 each described methods, it is characterized in that, described channel guess value carried out interpolation arithmetic, comprising:
Adopt linear Based on Interpolating Spline that described channel guess value is carried out interpolation arithmetic.
9. a deriving means that merges weight is arranged in receiver, it is characterized in that, comprises;
Choose module, be used for choosing the time period for the channel guess value that calculates channel;
Computing module is used for calculating the channel guess value of described channel in the described time period;
Interpolating module is used for described channel guess value is carried out interpolation arithmetic;
Acquisition module is used for the merging weight according to the channel guess value acquisition receiver that carries out obtaining behind the interpolation arithmetic.
10. device according to claim 9 is characterized in that, described acquisition module also is used for the channel guess value that carries out obtaining behind the interpolation arithmetic is carried out conjugate operation, obtains the merging weight of Rake Rake receiver.
11. device according to claim 9 is characterized in that, described acquisition module comprises:
The first acquiring unit is used for described channel guess value is carried out before the interpolation arithmetic, obtains the initial merging weight of senior Rake Arake receiver;
Second acquisition unit, be used for take described initial merging weight as initial value, input take the channel guess value that carries out obtaining behind the interpolation arithmetic as sef-adapting filter is adjusted described initial merging weight, obtains the merging weight of the described Arake receiver behind the interpolation arithmetic.
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| CN1524351A (en) * | 2001-05-17 | 2004-08-25 | �����ɷ� | System and method for adjusting combiner weights using an adaptive algorithm in a wireless communications system |
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