CN1400758A - Receiving method based on interference elimination - Google Patents
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- CN1400758A CN1400758A CN 01126396 CN01126396A CN1400758A CN 1400758 A CN1400758 A CN 1400758A CN 01126396 CN01126396 CN 01126396 CN 01126396 A CN01126396 A CN 01126396A CN 1400758 A CN1400758 A CN 1400758A
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Abstract
This invention relates to multi-user test method based on eliminating interference: 1. performing the process of M stages to all the users to be divided into GM groups according to strong and weak signals, in which M, GM are natural numbers m=1, ...M; 2. at the first stage, group G1 receives in sequence the base band received signal, diversity signal series after interference elimination of last group to make serial processing 3. at the second... M stages treatment, every group of each stage sequentially receives diversity signal of last group of last stage and diversity signal after interference eliminated by the last group, each group receives weighted symbol stage signal series outputted by related users, dealing with them stage by stage group by group to get and outer each user judgement bit series.
Description
Technical field
The present invention relates to the spread spectrum communication field, relate in particular to the base station end multiple user signals method of reseptance in the CDMA bandspread communication.
Background technology
In a sub-district, a plurality of cellphone subscribers, are input to base station receiver and carry out input after the antenna for base station reception to base station transmit signals.In CDMA bandspread communication system, each cellphone subscriber's digital information forms baseband modulation signal through processes such as signal source and channel, band spectrum modulation, sends by high frequency carrier then.Behind these high-frequency signals process on-air radio propagation channels, arrive the base station reception antenna and be received.At the base station receiving terminal, at first be after low pass filter is removed high frequency carrier, to obtain baseband receiving signals, in receiver, carry out the detection of each number information then.
The detection basic principle of traditional matched-filter receiver is, utilizes each user's spreading code information, by carrying out associative operation to received signal, finds correlation peak, thereby extracts each user's signal.This is based on the distinctive correlation properties of spreading code, and the correlation between the promptly different spread spectrum code words is very little, correlation maximum when having only the code word alignment to do auto-correlation.This receiver typically comprises modules such as matched filtering, the merging of RAKE high specific, symbol hard decision, comprises also that certainly functional modules such as Multipath searching, channel estimating provide necessary delayed data and channel parameter information for receiving processing procedure.
The Multiuser Detection enhancement techniques is on the basis of traditional receiver, carries out further signal processing, removes because the multiple access that the existence of other subscriber signals causes disturbs, to obtain bit estimation more accurately.The Multiuser Detection structure of grouping serial interference elimination (GSIC) structure, be according to certain rule all user grouping that sends signals, carry out interference signal regeneration, interference eliminated, matched filtering and RAKE merges, symbol is declared firmly process more by group.The process of interference signal regeneration is actually the process that the modulation of repetition digital signal sends, and comprises processes such as band spectrum modulation, multipath signal regeneration.Owing to other users' interference eliminated has been fallen major part during matched filtering again, therefore can obtain bit decision more accurately.
The multiuser detection of multistage interference eliminated structure is the testing result that previous stage is obtained, and further regenerates and interference eliminated, and detects user data information more and more accurately step by step.
Adopt the shortcoming of grouping serial interference elimination GSIC detector arrangement to be, under time dependent fading channel condition, and other factors such as system load are when changing, because interference cancellation process is that the interference that directly will regenerate deducts, might there be very big evaluated error in the interference signal of not considering regeneration, therefore can't correctly realize interference eliminated, even can disturb the opposite effect of amplifying causing.Finally like this will inevitably have influence on the detection performance, cause receiver performance to descend or unstable.
To further understand the GSIC detector, please refer to document A.-L.Johansson, L.K.Rasmussen, Linear groupwise successive interference cancellation inCDMA, IEEE Transactions on Communications, 1998,45 (5): pp.605-610.
Another more important detection architecture is that the parallel interference of all user's parallel processings is eliminated (PIC) detector, but parallel organization itself is owing to all eliminate all users' interference regeneration estimated signal simultaneously, because disturbing, the weak signal user also estimates to be forbidden, so just cause all users' interference cancellation operation all to be had a strong impact on, detect performance and descend thereupon.By the weighting interference eliminated, can partly remove this influence, but parallel organization puts on an equal footing to each user of varying strength, structurally also be inappropriate.
Summary of the invention
The object of the present invention is to provide a kind of method of reseptance based on interference eliminated, this method can the time mobile channel that becomes and load variations system condition under, adjust the weights of interference eliminated adaptively, thereby significantly improve the Multiuser Detection performance.
A kind of multi-user test method based on interference eliminated provided by the present invention, it comprises the following step down: (one) carries out the M level to all users and handles, and in each level, according to the signal power user is divided into G
mGroup, M, G
mBe natural number, m=1 ... M; (2) in the first order is handled, G
1Group receives the residual signals sequence after baseband receiving signals sequence, the last one group of interference eliminated successively, carry out following serial process process: (1) carries out symbol detection according to the burst of this group input, utilizes this symbol detection value each subscriber signal sequence of this group code level of regenerating; (2) each subscriber signal sequence of this symbol level be multiply by relative users symbol level weights burst respectively, obtain the symbol level burst of each user's weighting, and output; Simultaneously, utilize the symbol level burst of this each user's weighting, and known each user's spread-spectrum code signals sequence and each the footpath deferred message of each user of this group, regeneration and interference eliminated disturbed, obtain through the residual signals sequence after this group interference eliminated, and output; (3) second, in the processing of M level, each group of each grade receives output residual signals sequence and the residual signals sequence after last one group of interference eliminated, every group of the symbol level burst that receives the weighting of upper level respective user output respectively, serial process by group step by step simultaneously of last group of upper level successively: (A) second, the 1st of each group in the M-1 level and M level ..., G
M-1 group, carry out following serial process process: (1) carries out symbol detection according to two bursts of this group input, utilizes this symbol detection value each subscriber signal sequence of this group code level at the corresponding levels of regenerating; (2) each subscriber signal sequence of this symbol level be multiply by relative users symbol level weights burst at the corresponding levels respectively, obtain the symbol level burst of each user's weighting at the corresponding levels, utilize the symbol level burst of the weighting of the symbol level burst of this each user's weighting and the upper level relative users that this group is imported, and known each user's spread-spectrum code signals sequence and each footpath deferred message of each user of this group, disturb regeneration and interference eliminated, obtain through the residual signals sequence after this group interference eliminated, and output; Simultaneously, the 2nd ... each group in the M-1 level is exported the symbol level burst of each user's weighting respectively; (3) by the G of M level
M-1 group is utilized each user symbol detected value respectively, obtains each user's decision bits sequence, and output; (B) at the G of M level
mGroup, carry out following processing procedure: two the above-mentioned bursts according to the input of this group carry out symbol detection, utilize this each user symbol detected value, and obtain this and organize each user's decision bits sequence, and output.
In the above-mentioned multi-user test method based on interference eliminated, each group of each grade in the step (three) can also receive the baseband receiving signals sequence, carries out the operation of interference eliminated.
In the above-mentioned multi-user test method based on interference eliminated, all users in the step () are what carry out according to user's data speed difference according to the mode of the strong and weak grouping of signal.
In above-mentioned multi-user test method based on interference eliminated, all users in the step () according to the mode of the strong and weak grouping of signal can for: when the M=2, G1=G2=1, or G1=G2=2, or G1=G2=3, or G1=2, G2=1, or G1=3, G2=1.
In the above-mentioned multi-user test method based on interference eliminated, the symbol detection method in the step (two) (1) is that matched filtering detects.
In above-mentioned multi-user test method based on interference eliminated, symbol in the symbol detection in the step (two) (1), be each the user's bit sequence that obtains by the symbol hard decision, or the symbol judgement sufficient statistic before each footpath bit decision of each user.
In above-mentioned multi-user test method based on interference eliminated, step (three) (A) symbol detection method in (1) is: earlier the residual signals sequence of input is carried out matched filtering, add the symbol level burst of the weighting of another input then, obtain the symbol detection result.
In above-mentioned multi-user test method based on interference eliminated, the method that regeneration in the step (two) (1) goes out each subscriber signal sequence of this group code level is: utilize the symbol detection value to obtain corresponding channel estimating argument sequence and corresponding decision bits sequence, multiply each other, obtain the result that regenerates.
In the above-mentioned multi-user test method based on interference eliminated, step channel estimating argument sequence can be that the channel estimating of utilizing signal at the corresponding levels to carry out obtains, or utilizes the channel estimation results of other grades.
In above-mentioned multi-user test method based on interference eliminated, the system of selection of each the user symbol level weights burst in the step (two) (2) is: residual signals sequence and each subscriber signal sequence of symbol level of utilizing the output of this group, and this organizes known road spread-spectrum code signals sequence, by lms adaptive algorithm weights is upgraded obtaining in certain cycle.
In above-mentioned multi-user test method based on interference eliminated, under described M=2, the G1=G2=1 selection scheme, the method of minimum mean square self-adaption is: each user only utilizes the symbol level output signal sequence after the matched filtering of symbol level burst at the corresponding levels in the some cycles and next stage residual signals sequence to carry out right value update.
In the above-mentioned multi-user test method based on interference eliminated, each user symbol level weights burst can be the corresponding different symbol level weights burst in each footpath of each user.
In the above-mentioned multi-user test method based on interference eliminated, the cycle is a symbol period or several symbol periods.
In above-mentioned multi-user test method based on interference eliminated, interference renovation process in the step (two) (2) is: utilize the known spread spectrum code sequence of this group that the symbol level burst of each user's weighting is carried out spread spectrum, obtain the spread spectrum regenerated signal sequence of relative users.
In above-mentioned multi-user test method based on interference eliminated, interference elimination method in the step (two) (2) is: utilize each footpath of each known user of this group to postpone estimated information, the spread spectrum regenerated signal sequence of relative users is carried out each footpath stack, from this group input signal sequence, deduct then, promptly obtain through the residue signal sequence after this group interference eliminated.
In above-mentioned multi-user test method based on interference eliminated, step (three) (A) the interference renovation process in (2) is: the symbol level burst that the symbol level burst of each user's weighting is deducted each footpath weighting of the corresponding group of upper level, obtain a symbol level difference signal sequence, and then utilize the known spread spectrum code sequence of this group that this symbol level difference signal sequence is carried out spread spectrum, obtain this group user's the corresponding levels and the sequence of differences of each spread-spectrum signal of directly regenerating of upper level.
In above-mentioned multi-user test method based on interference eliminated, step (three) (A) interference elimination method in (2) is: utilize each footpath of each known user of this group to postpone estimated information, the sequence of differences of described regeneration spread-spectrum signal is carried out each footpath postpone and stack, from the residual signals sequence of this group input, deduct then.
The present invention has designed grouping interference eliminated (GroupwiseSerial Interference Cancellation, GSIC) the CDMA method of reseptance of a kind of symbolization level adaptation weighting.In self adaptation GSIC detector, detect the strongest user's group earlier and estimate its interference, its weighting is adaptively eliminated, and then detect and the elimination of weighting adaptively time strong user's group, improved the accuracy and the efficient of interference cancellation process greatly, thereby whole detector performance is significantly improved.It has overcome the not fixing deficiency of weighing GSIC receptivity and stable aspect of weighted sum, has given full play to the advantage of GSIC grouping interference eliminated detection architecture.And the right value update amount of calculation of symbol level is little, is easy to real system and realizes.
Symbol-level adaptation weighting recited above is meant, weights are added on each user's the symbol level regenerated signal (be the spread spectrum again in the regeneration step before), and carry out the adaptive weight adjustment of symbol level.The renewal of adaptive weight is that each user at GSIC organizes that processing module is inner independently carries out, and the principle of adjustment is to make the energy of the residue signal after this group interference eliminated on average be tending towards minimum.The meaning of optimizing weights adjustment under the criterion at these weights is, according to the reliability that regenerated signal is estimated, gives them with different weights, is weighted the part interference cancellation operation, thereby realizes correct effectively interference eliminated, and final the raising detects performance.
Symbol-level adaptation method of weighting among the present invention also can be used for adopting the parallel interference canceller processing inside modules in other any detectors, makes the processing of module more reasonable also more efficient.Typically, the first order GSIC structure such as we can this adaptive weighted method be applied to improve promptly in each group of first order GSIC, replaces traditional matched filtering detection, and uses other detection methods such as PIC detection method.In addition, if the packet count of GSIC detector is set at one group, this moment, detector promptly became the PIC detector of symbol-level adaptation weighting.If packet count is made as total number of users, the GSIC detector among the present invention's this moment just becomes symbol-level adaptation weighting SIC detector.These all are the new technological inventions of present unexistent detector arrangement.
Especially it is worthy of note,
This self adaptation GSIC method of reseptance is applicable to that typically the up base station that becomes spreading factor multi-speed CDMA system receives.
Description of drawings
Fig. 1 is two level adaptation GSIC detector overall construction drawings;
Fig. 2 is the 2nd group of interference cancellation unit of the first order (GICU) internal structure illustration;
Fig. 3 is k user's interference eliminated (ICU) flow process illustration of the 2nd group of the first order.
Embodiment
In this section, we describe the implementation method that the symbol-level adaptation GSIC under the Rayleigh multidiameter fading channel receives in detail with the up example that is received as of the many rate users of the many spreading factors of WCDMA system.For outstanding key content of the present invention, we do not do the operation of functional modules such as channel estimating, Multipath searching and specify, and only quote its output result.
Specifically describe the method for reseptance design among the present invention below.
What (one) suppose to receive at antenna for base station is the multiuser asynchronous bpsk signal that transmits under the Rayleigh multidiameter fading channel.
Total K user in the system sets up departments.We carry out the processing of M=2 level to K user, in each level, according to the user data rate difference, are divided into user's group of high rate user group, 3 serial process of middle rate users group, are called group 1, and group 2 is organized 3. and established G
1And G
2Be respectively the packet count in the two-stage, so, G
1=G
2=3. owing to organize user's spreading factor minimum in 1, desired signal transmitted power maximum is organized user's spreading factor maximum in 2, and desired signal transmitted power minimum is so they just divide into groups successively according to the signal transmitting power size and have lined up.
If the baseband receiving signals series model is
R (n)=∑
K=1 K∑
L=1 La
K, 1(n) A
kd
k[i] c
k(n)+and z (n), (1) is sequence indicator n=0 wherein, and 1 ... represent n chip, L is the footpath number of each user multipaths signal, A
kBe k user's signal amplitude, { d
k[i] }
I=0,1 ...Be k user's BPSK symbol sebolic addressing (or claiming bit sequence), value is { ± 1}, { c
k(n) }
N=0,1 ...Be k user's spread spectrum code sequence, value is that { ± 1}, z (n) is an additive white Gaussian noise, a
K, 1(n) be the fading channel coefficient in k user's the 1st footpath.In addition, the corresponding relation between chip index n and the symbol index i is i=
N/N
k∠, N
kThe spreading factor of representing k user, mark
∠ represents mark round numbers part.If (have the chip over-sampling to handle, n can be interpreted as the index of sampled point.)
The secondary symbols level adaptation GSIC detection architecture The general frame of receiver as shown in Figure 1.The serial process of the first order is shown in first tabulation, and secondary series is represented partial serial process.Among the figure, r (n) is the baseband receiving signals sequence, e
1 (1)(n), e
2 (1)(n), e
3 (1)(n) be illustrated respectively in the first order the 1st group, the 2nd group, the 3rd group output residual signals sequence, e
1 (2)(n), e
2 (2)(n) be illustrated respectively in the second level the 1st group, the 2nd group output residual signals sequence, Y
K, 1 (1)[i] (k=1 ..., K, l=1 ..., L) each group of the expression first order outputs to the symbol level burst of each footpath weighting of each user of next stage, d
High (2)[i], d
Med (2)[i], d
Low (2)[i] represents the partial output decision bits sequence of high rate user group (promptly the 1st group), middle rate users group (promptly the 2nd group), low-rate users group (promptly the 3rd group) respectively, and black matrix d represents that a plurality of user's bit sequences are exported simultaneously in the group.
(2) in the first order is handled, group 1, group 2, group 3 totally 3 groups receive residual signals sequence after baseband receiving signals sequence, the last one group of interference eliminated successively, carry out following serial process process:
(1) the 1st group group interference cancellation unit (GICU) (seeing also Fig. 2, illustration 3)
Receive baseband receiving signals sequence r (n), this that utilizes at first that the Multipath searching functional module obtains is organized the delayed data t in each footpath of each user
K, 1(0≤t
K, 1＜N
1, N
1Be the 1st group of user's spreading factor) and known each user's of this group spread-spectrum code signals sequence c
k(n), carry out the symbol detection of matched filtering, see formula (2), obtain the soft output of each i symbol in footpath
y
k，1 (1)[i]＝∑
n＝0 N1-1r(iN
l+t
k，1+n)c
k(iN
1+t
k，1+n)， (2)
The channel estimation value a that utilizes the channel estimation function module to obtain then
K, 1[i] (supposing here in a symbol period) carries out the RAKE high specific and merges, and sees formula (3), obtains the symbol judgement sufficient statistic that this organizes each user
y
k (1)[i]=∑
L=1 L a * K, 1[i] y
K, l (1)[i], (3) symbol
*The expression plural number is got altogether and is gripped.
Declare firmly by symbol, obtain this group user's decision bits sequence
d
k (1)[i]=sgn (y
k (1)[i]), the decision bits sequence that subscript " 1 " the expression first order in (4) following formula obtains.
According to declaring this group user decision bits d that obtains firmly
k (1), and the channel estimating argument sequence that utilizes channel estimation module to obtain
a K, 1 [i], just can obtain each footpath burst of each user of this group code level
y k，1 (1)[i]＝
a k，1[i]d
k (1)[i]. (5)
(2) with each footpath burst of each user of this symbol level
y K, 1 (1)[i] multiply by the symbol level weights burst w in each footpath of relative users respectively
K, 1 (1)[i] (referring to following formula (9) and explanation thereof) obtains the respectively symbol level burst of footpath weighting of each user
Y
K, 1 (1)[i]=w
K, 1 (1)[i]
y K, 1 (1)[i], (6) and output.Here, symbol level weights sequence w
K, 1 (1)[i] produces by the adaptive weight value updating module, and when i=0 symbol, the weights sequence of this module output is an initial weight w
K, 1 (1)And in i＞0 o'clock, will utilize this initial weight, the weight w that obtains upgrading (0),
K, 1 (1)[i], detailed process is referring to following formula (9).
Utilize the symbol level burst Y of each footpath weighting of this each user
K, 1 (1)[i], and each known user's spread-spectrum code signals sequence c of this group
k(n) and each footpath deferred message t of each user
K, 1, just can disturb regeneration and interference cancellation operation.The operation of disturbing regeneration is the symbol level burst Y to this weighting
K, 1 (1)[i] carries out spread spectrum, promptly obtains the chip-level regenerated signal sequence that this organizes each footpath of each user
r
K, 1 (1)(n)=c
k(n) Y
K, 1 (1)[i], (7) chip index n and symbol index i here exists tangible corresponding relation, i.e. n=iN
k+ t
K, 1..., (i-1) N
k+ t
K, 1-1; The operation of interference eliminated then is that behind the spread spectrum this is organized each footpath burst r of each user
K, 1 (1)(n) from received signal sequence r (n), deduct, promptly obtain residual signals sequence through this group interference eliminated
e
1 (1)(n)=r (n)-∑
K ∈ K1∑
1=1 Lr
K, 1 (1)(n), (8) ∑ wherein
K ∈ k1Expression is to all users' of the 1st group corresponding signal summation.Similarly, hereinafter, ∑
K ∈ K2, ∑
K ∈ K2Represent respectively the 2nd group, the 3rd group user's corresponding signal summation.The last operation of this group is with residual signals sequence e
1 (1)(n) output.
Symbol-level adaptation right value update module declaration: each footpath symbol level weights sequence w of each user
K, 1 (1)[i] is the adaptive weight value updating module by separately, utilizes the residual signals sequence e of this group output
1 (1)(n) and each oneself symbol level burst of footpath
y K, 1 (1)[i] calculated by following formula
w
K, 1 (1)[i+1]=w
K, 1 (1)[i]+β (
y K, 1 (1)[i])
* K, 1 (1)[i] (9) wherein,
K, 1 (1)[i]=∑
N=0 Nk-1e
1 (1)(iN
k+ t
K, 1+ n) c
k(iN
k+ t
K, 1+ n) be the matched filtering output result of residual signals sequence, β＞0 is a positive number, the step parameter of expression lowest mean square (LMS) adaptive algorithm.Here, we in to have adopted with a symbol period be right value update cycle.
(3) at the 2nd, 3 group, if will the input burst by the baseband receiving signals sequence, change the 1st group output residual signals sequence e respectively into
1 (1)(n), the 2nd group output residual signals sequence e
2 (1)(n), other operations are fully with the process of above-mentioned step (1), step (2).During step is below described, we will directly quote the output signal sequence that produces in these two groups, for example:
The residual signals sequence of the 3rd group of output: e
3 (1)(n)
This of the 3rd group of output is organized the symbol level regenerated signal sequence of each footpath weighting of each user: Y
K, 1 (1)[i], k ∈ K3
(3) in partial processing, the 1st group and the 2nd, the 3rd group last group that receives upper level successively i.e. the 3rd group output residual signals sequence e
3 (1)(n) and the residual signals sequence after last one group of interference eliminated be e
1 (2)(n), e
2 (2)(n), while every group of symbol level burst Y that receives the weighting of upper level respective user output respectively
K, 1 (1)[i], carry out following serial process by group:
(A) the 1st group in the second level and the 2nd group, carry out following serial process process (we are the example explanation with the 1st group):
(1) two symbol detection that burst carries out matched filtering at first importing according to this group.
At the 1st group, this that utilizes at first that the Multipath searching functional module obtains is organized the delayed data t in each footpath of each user
K, 1Spread-spectrum code signals sequence c with known each user of this group
k(n), to the residual signals e of last group of upper level of this group input
3 (1)(n) carry out matched filtering, and then add the symbol level burst Y of the weighting of upper level respective user output
K, 1 (1)[i] promptly obtains the soft output of symbol (k ∈ K1) at the corresponding levels
y
k，1 (2)[i]＝∑
n＝0 Nk-1e
3 (1)(iN
1+t
k，1+n)c
k(iN
1+t
k，1+n)+Y
k，1 (1)[i]， (10)
The channel estimation value that utilizes the channel estimation function module to obtain
a K, 1[i] carries out the RAKE high specific and merges, and obtains the symbol judgement sufficient statistic that this organizes each user
y
k (2)[i]＝∑
1＝1 L a * k，1[i]y
k，1 (2)[i]， (11)
Declare firmly by symbol, obtain this group user's decision bits sequence
d
k (2)[i]=sgn (y
k (2)[i]), the decision bits sequence that subscript " 2 " the expression first order in (12) following formula obtains.
According to declaring this group user decision bits d that obtains firmly
k (2), and the channel estimating argument sequence that utilizes channel estimation module to obtain
a K, 1[i] just can obtain each footpath burst of each user of this group code level
y k，1 (2)[i]＝
a k，1[i]d
k (2)[i]. (13)
(2) with each subscriber signal sequence of this symbol level
y K, 1 (2)[i] multiply by relative users symbol level weights burst w at the corresponding levels respectively
K, 1 (2)[i] (referring to following formula (17) and explanation thereof) obtains the symbol level burst of each user's weighting
Y
K, 1 (2)[i]=w
K, 1 (2)[i]
v K, 1 (2)[i], (14) and output.Here, symbol level weights sequence w
K, 1 (2)[i] produces by the adaptive weight value updating module, and when i=0 symbol, the weights sequence of this module output is an initial weight w
K, 1 (2)And in i＞0 o'clock, will utilize this initial weight, the weight w that obtains upgrading (0),
K, 1 (2)[i], detailed process is referring to following right value update formula (17).
Utilize the symbol level burst Y of each footpath weighting of this each user
K, 1 (2)Another input signal Y of [i] and this group
K, 1 (1)[i], k ∈ K1, and each known user's spread-spectrum code signals sequence c of this group
k(n) and each footpath deferred message t of each user
K, 1, just can disturb regeneration and interference cancellation operation.Disturbing regenerative operation, is to difference signal Y
K, 1 (2)[i]-Y
K, 1 (1)[i] carries out spread spectrum, promptly obtains the chip-level regenerated signal sequence that this organizes each footpath of each user
r
K, 1 (2)(n)=c
k(n) (Y
K, 1 (2)[i]-Y
K, 1 (1)[i]); (15) operation of interference eliminated is that behind the spread spectrum this is organized each footpath burst r of each user
K, 1 (2)(n) from the input residual signals sequence e of this group
3 (1)(n) deduct in, promptly obtain residual signals sequence through this group interference eliminated
e
1 (2)(n)=e
3 (1)(n)-∑
K ∈ K1∑
1=1 Lr
K, 1 (2)(n), (16) ∑ wherein
K ∈ K1Expression is to all users' of the 1st group corresponding signal summation.The last operation of this group is with residual signals sequence e
1 (2)(n) output.
Symbol-level adaptation right value update module declaration: each footpath symbol level weights sequence w of each user
K, 1 (2)[i] is the adaptive weight value updating module by separately, utilizes the residual signals sequence e of this group output
1 (2)(n) and each oneself symbol level burst of footpath
y K, 1 (2)[i], and spread spectrum code sequence c
k(n), calculate (k ∈ K1) by following formula
w
K, 1 (2)(i+1)=w
K, 1 (2)[i]+β (y
K, 1 (2)[i])
* K, 1 (2)[i], (17) wherein,
K, 1 (1)[i]=∑
N=0 Nk-1e
1 (2)(iN
k+ t
K, 1+ n) c
k(iN
k+ t
K, 1+ n) be the matched filtering output result of residual signals sequence, β＞0th, the step parameter of lowest mean square (LMS) adaptive algorithm.
Here, because we have set progression M=2, therefore, the corresponding levels also are the afterbodies of detector, need not be again the symbol level burst Y of each footpath weighting of each user of this group
K, 1 (2)[i] output is not because there is next stage to have used them.
Therefore (3) because the corresponding levels are afterbodies, preceding two groups of the corresponding levels, with each the user's decision bits sequence d that obtains
k (2)[i] output.
(B) at partial the 3rd group, that is to say last group of afterbody, carry out following processing procedure:
At first utilize delayed data t
K, 1Organize each user's spread-spectrum code signals sequence c with this
k(n), last a group to the input of this group is the residual signals e of the 2nd group of output
2 (2)(n) carry out matched filtering, and then add the symbol level burst Y of the weighting of upper level respective user output
K, 1 (1)[i] promptly obtains the soft output of symbol (k ∈ K3) of this group at the corresponding levels
y
k，1 (2)[i]＝∑
n＝0 Nk-1e
2 (2)(iN
1+t
k，1+n)c
k(iN
1+t
k，1+n)+Y
k，1 (1)[i]. (18)
The channel estimation value a that utilizes the channel estimation function module to obtain
K, 1[i] carries out the RAKE high specific and merges, and obtains the symbol judgement sufficient statistic that this organizes each user
y
k (2)[i]＝∑
1＝1?
L a * k，1[i]y
k，1 (2)[i]. (19)
Declare firmly through symbol again, obtain this group user's decision bits sequence (k ∈ K3)
d
k (2)[i]＝sgn(y
k (2)[i])， (20)
Last the same two groups the same, will this decision bits sequence output.
Claims (17)
1. the multi-user test method based on interference eliminated is characterized in that it comprises the following steps:
(1) all users is carried out the M level and handle, in each level, the user is divided into G according to the signal power
mGroup, M, G
mBe natural number, m=1 ... M;
(2) in the first order is handled, G
1Group receives the residual signals sequence after baseband receiving signals sequence, the last one group of interference eliminated successively, carries out following serial process process:
(1) burst according to this group input carries out symbol detection, utilizes this symbol detection value each subscriber signal sequence of this group code level of regenerating;
(2) each subscriber signal sequence of this symbol level be multiply by relative users symbol level weights burst respectively, obtain the symbol level burst of each user's weighting, and output; Simultaneously, utilize the symbol level burst of this each user's weighting, and known each user's spread-spectrum code signals sequence and each the footpath deferred message of each user of this group, regeneration and interference eliminated disturbed, obtain through the residual signals sequence after this group interference eliminated, and output;
(3) second, in the processing of M level, each of each grade organized the output residual signals sequence of last group that receives upper level successively and the residual signals sequence after last one group of interference eliminated, every group of symbol level burst that receives the weighting of upper level respective user output respectively simultaneously, serial process by group step by step:
(A) the second ..., the 1st of each group in the M-1 level and M level ..., G
M-1 group, carry out following serial process process:
(1) two bursts according to this group input carry out symbol detection, utilize this symbol detection value each subscriber signal sequence of this group code level at the corresponding levels of regenerating;
(2) each subscriber signal sequence of this symbol level be multiply by relative users symbol level weights burst at the corresponding levels respectively, obtain the symbol level burst of each user's weighting at the corresponding levels, utilize the symbol level burst of the weighting of the symbol level burst of this each user's weighting and the upper level relative users that this group is imported, and known each user's spread-spectrum code signals sequence and each footpath deferred message of each user of this group, disturb regeneration and interference eliminated, obtain through the residual signals sequence after this group interference eliminated, and output; Simultaneously, the 2nd ... each group in the M-1 level is exported the symbol level burst of each user's weighting respectively;
(3) by the G of M level
M-1 group is utilized each user symbol detected value respectively, obtains each user's decision bits sequence, and output;
(B) at the G of M level
MGroup, carry out following processing procedure:
Two above-mentioned bursts according to the input of this group carry out symbol detection, utilize this each user symbol detected value, and obtain this and organize each user's decision bits sequence, and output.
2. a kind of multi-user test method according to claim 1 based on interference eliminated, it is characterized in that, each group of each grade in the described step (three) can also receive the baseband receiving signals sequence, by from the baseband receiving signals sequence, deducting the interference signal sequence, finish the operation of interference eliminated.
3. a kind of multi-user test method based on interference eliminated according to claim 1 is characterized in that, all users in the described step () are to carry out according to user's data speed is descending according to the mode of the strong and weak grouping of signal.
4. a kind of multi-user test method according to claim 1 based on interference eliminated, it is characterized in that, all users in the described step () according to the mode of the strong and weak grouping of signal can for: when the M=2, G1=G2=1, or G1=G2=2, or G1=G2=3, or G1=2, G2=1, or G1=3, G2=1.
5. a kind of multi-user test method based on interference eliminated according to claim 1 is characterized in that, the symbol detection method in the described step (two) (1) is that matched filtering detects.
6. a kind of multi-user test method according to claim 1 based on interference eliminated, it is characterized in that, symbol in the symbol detection in the described step (two) (1), be each the user's bit sequence that obtains by the symbol hard decision, or the symbol judgement sufficient statistic before each footpath bit decision of each user.
7. a kind of multi-user test method according to claim 1 based on interference eliminated, it is characterized in that, described step (three) (A) symbol detection method in (1) is: earlier the residual signals sequence of input is carried out matched filtering, add the symbol level burst of the weighting of another input then, obtain the symbol detection result.
8. a kind of multi-user test method according to claim 1 based on interference eliminated, it is characterized in that, the method that regeneration in the described step (two) (1) goes out each subscriber signal sequence of this group code level is: utilize the symbol detection value in each footpath of each user to obtain corresponding each footpath channel estimating argument sequence and corresponding decision bits sequence, multiply each other, obtain each result that directly regenerates.
9. a kind of multi-user test method based on interference eliminated according to claim 8 is characterized in that, described step channel estimating argument sequence can be that the channel estimating of utilizing signal at the corresponding levels to carry out obtains, or utilizes the channel estimation results of other grades.
10. a kind of multi-user test method according to claim 1 based on interference eliminated, it is characterized in that, the system of selection of each the user symbol level weights burst in the described step (two) (2) is: residual signals sequence and each subscriber signal sequence of symbol level of utilizing the output of this group, and the known spread-spectrum code signals sequence of this group, in certain cycle, weights are upgraded obtaining by lms adaptive algorithm.
11. according to claim 10 and claim 4,5,10 described a kind of multi-user test methods based on interference eliminated, it is characterized in that, under some selection scheme of described M=2, G1=G2=1, the method of minimum mean square self-adaption is: each user only utilizes symbol level burst at the corresponding levels and the filtered symbol level output signal sequence of next stage residual signals sequences match in the some cycles to carry out right value update.Be these two operations of Weight number adaptively update calculation and residual signals matched filter operation, be actually identical, therefore can save wherein any one.
12. a kind of multi-user test method based on interference eliminated according to claim 10 is characterized in that, described each user symbol level weights burst can be the corresponding different symbol level weights burst in each footpath of each user.
13. a kind of multi-user test method based on interference eliminated according to claim 10 is characterized in that, the described right value update cycle is a symbol period or several symbol periods.
14. a kind of multi-user test method according to claim 1 based on interference eliminated, it is characterized in that, interference renovation process in the described step (two) (2) is: utilize the known spread-spectrum code signals sequence of this group that the symbol level burst of each user's weighting is carried out spread spectrum, obtain the spread spectrum regenerated signal sequence of relative users.
15. according to claim 1 and claim 12,14 described a kind of multi-user test methods based on interference eliminated, it is characterized in that, interference elimination method in the described step (two) (2) is: utilize each footpath of each known user of this group to postpone estimated information, the spread spectrum regenerated signal sequence of relative users is carried out each footpath stack, from this group input signal sequence, deduct then, promptly obtain through the residue signal sequence after this group interference eliminated.
16. according to claim 1 and the described a kind of multi-user test method of claim 12 based on interference eliminated, it is characterized in that, described step (three) (A) the interference renovation process in (2) is: the symbol level burst that the symbol level burst of each user's weighting is deducted each footpath weighting of the corresponding group of upper level, obtain a symbol level difference signal sequence, and then utilize the known spread spectrum code sequence of this group that this symbol level difference signal sequence is carried out spread spectrum, obtain this group user's the corresponding levels and the sequence of differences of each spread-spectrum signal of directly regenerating of upper level.
17. according to claim 1 and claim 12,16 described a kind of multi-user test methods based on interference eliminated, it is characterized in that, described step (three) (A) interference elimination method in (2) is: utilize each footpath of each known user of this group to postpone estimated information, the sequence of differences of described regeneration spread-spectrum signal is carried out each footpath postpone and stack, from the residual signals sequence of this group input, deduct then.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1905383B (en) * | 2006-08-08 | 2010-05-12 | 北京天碁科技有限公司 | Shared frequency cell channel estimating apparatus and method |
| CN102460986A (en) * | 2009-04-27 | 2012-05-16 | 诺基亚公司 | Method, apparatuses, computer program and computer program distribution medium for a communication receiver |
| CN102545958A (en) * | 2011-12-30 | 2012-07-04 | 华为技术有限公司 | Signal processing unit as well as interference cancellation method, device and system |
| CN101375175B (en) * | 2006-01-26 | 2012-07-25 | 高通股份有限公司 | Cross-correlation suppression technique for position location receivers |
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2001
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101375175B (en) * | 2006-01-26 | 2012-07-25 | 高通股份有限公司 | Cross-correlation suppression technique for position location receivers |
| CN1905383B (en) * | 2006-08-08 | 2010-05-12 | 北京天碁科技有限公司 | Shared frequency cell channel estimating apparatus and method |
| CN102460986A (en) * | 2009-04-27 | 2012-05-16 | 诺基亚公司 | Method, apparatuses, computer program and computer program distribution medium for a communication receiver |
| CN102460986B (en) * | 2009-04-27 | 2014-12-10 | 诺基亚公司 | Method and apparatuses for a communication receiver |
| CN102545958A (en) * | 2011-12-30 | 2012-07-04 | 华为技术有限公司 | Signal processing unit as well as interference cancellation method, device and system |
| WO2013097627A1 (en) * | 2011-12-30 | 2013-07-04 | 华为技术有限公司 | Signal processing unit, and interference cancellation method, device, and system |
| CN102545958B (en) * | 2011-12-30 | 2014-09-17 | 华为技术有限公司 | Signal processing unit as well as interference cancellation method, device and system |
| US9214984B2 (en) | 2011-12-30 | 2015-12-15 | Huawei Technologies Co., Ltd. | Interference cancellation method and system |
| CN105474549A (en) * | 2013-12-04 | 2016-04-06 | 华为技术有限公司 | Method for eliminating self-interference of transmission and reception sharing antenna, transceiver, and communication device |
| US9768826B2 (en) | 2013-12-04 | 2017-09-19 | Huawei Technologies Co., Ltd. | Self-interference cancellation method, transceiver, and communications device for transmit/receive shared antenna |
| CN105474549B (en) * | 2013-12-04 | 2018-05-11 | 华为技术有限公司 | Self-interference removing method, transceiver and the communication equipment of duplexer |
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