CN1406011A - Method for obtaining partial interference-bucking value in interference-bucking receiver - Google Patents

Abstract

In the CDMA communication system of the multiple user detection using the category of elimianting interference, the performance of the CDMA receiver is restricted by the accuracy of regenerating the multiple access interference. The accuracy of regenerating the multiple access interference is affected by the reliability of Rake receiving the adjudication and the accuracy of the channel estimation. Under the condition of the certain reliability and the accuracy, using the functional relations between the amplitude, the phase of the channel estimation and the weight value of the partial interference elimiantion obtains the method to get the said weight value. Thus, the invention improves the performance of the multiple-user detector.

Description

A kind of acquisition methods of part interference-bucking value in the interference cancellation receiver

Technical field:

The invention belongs to electronic technology field, design wireless communication technology especially.

Background technology:

Code division multiple access (CDMA) communication system is an interference-limited system, multiple access disturbs (Multi-AccessInterference, MAI) be one of main interference in the system,, eliminate multiple access and disturb and seem extremely important in order to improve systematic function and to improve power system capacity.One of removing method that multiple access disturbs: Multiuser Detection (Multi-User Detection) technology, its implementation is a lot, is broadly divided into linear and non-linear two kinds.The performance of the Interference Cancellation in the non-linear multi-user detector (Interference Cancellation) class multi-user test method depends on basically reproduces the accuracy that multiple access disturbs (MAI).But it is very difficult producing multiple access interference accurately in the reality system again, in this case, for fear of the information that does not belong to the multiple access interference is originally deducted from received signal, can adopt the method for partial interference cancellation to eliminate the multiple access interference, promptly the multiple access that reproduces is disturbed and multiply by one, only from received signal, deduct the part multiple access and disturb less than 1 weight coefficient.Like this, Parallel Interference Cancellation (Parallel Interference Cancellation, note PIC by abridging) and counteracting serial interference (Successive Interference Cancellation, brief note SIC) detector correspondingly becomes part parallel Interference Cancellation (Partial Parallel Interference Cancellation, note PPIC by abridging) and part counteracting serial interference (Partial Successive Interference Cancellation, brief note PSIC) detector is also referred to as weighing parallel Interference Cancellation (Weighted Parallel Interference Cancellation) and weighting counteracting serial interference (WeightedSuccessive Interference Cancellation).In general, be interfered to a great extent counteracting weighted factor, the i.e. restriction of weights of the performance of partial interference cancellation receiver.Therefore, suitable selected part interference-bucking value helps improving the performance of Interference Cancellation class detector.

Because in the real system, the randomness of spreading code itself and channel characteristics causes correlation to each other non-vanishing, makes phase mutual interference between different user, Here it is, and multiple access disturbs.Counteracting serial interference class and Parallel Interference Cancellation class multiuser detection can be eliminated multiple access effectively and disturb, the basic principle of counteracting serial interference device is: at first at receiving terminal to each subscriber signal power by sorting from big to small, demodulate the user of peak signal power earlier, from total received signal, deduct the received signal of the peak signal users of power that reconstructs by restituted signal then, so just weakened of the influence of the strongest multiple access interference components to other user, next signal power time strong user is handled, each user only offsets once, and each level is only entered a judgement and Interference Cancellation to a user.As shown in Figure 3, received signal is passed through matched filter 18, judgement 19, is utilized channel estimating 21, heavy spread spectrum 23 again, deducts heavy spread-spectrum signal 24 at last again, and the multiple access of so just having offset this user disturbs.Compare with the counteracting serial interference device, the Parallel Interference Cancellation device is in each grade estimation and eliminate all users' multiple access interference components, as shown in Figure 4, promptly use the first estimation value signal of the output of each matched filter as each user, again with valuation signal process judgement first, amplitude Estimation 25 and heavy spread spectrum 26 reconstruct received signal, from total received signal, deduct the interference signal of 28～29 all interference users then, again they are sent into second level matched filter 31, obtain the new estimated value that gets of each user profile bit through judgement 32～34.Can from the principle of counteracting serial interference device and Parallel Interference Cancellation device as can be seen, eliminate multiple access effectively disturbs to rely on and reproduces the accuracy that multiple access disturbs.

Under multipath propagation environment, each user's signal arrives receiver along many different propagation paths, because the signal time delay difference in different paths, thereby their phase places when arriving receiving terminal are also different, the signal of these outs of phase superposes mutually, promptly produce multipath fading, adopt the Rake reception technique to alleviate in the cdma system or eliminate multipath fading.Simultaneously, in cdma system, also produce the phase mutual interference between these multipath signals, these disturb has also influenced systematic function, therefore must eliminate these interference, improves systematic function.For Interference Cancellation class detector, no matter be SIC or PIC, its performance depends on basically reproduces the accuracy that multiple access disturbs (MAI), and the accuracy that MAI reproduces depends on that to a great extent initial level (claiming previous stage when adopting multistage Interference Cancellation) Rake receives the reliability of judgement and the accuracy of channel estimation in corresponding each footpath.Interference cancellation receiver carries out the Rake reception usually earlier and carries out Multiuser Detection (or Interference Cancellation) again, carrying out Rake then merges, this is because the Rake reception technique can effectively utilize multipath signal to improve signal receiving performance, and it is comparatively reliable to be used in the reception data of reproducing interference.Under the reliable situation of judgement, reproduce the value that interference need utilize channel estimating, its accuracy then depends on accuracy of channel estimation.But, no matter adopting which kind of channel estimation methods, the channel estimating entirely accurate is very difficult, therefore adopts partial interference counteracting method to improve systematic function.And at present the partial interference cancellation weights adopt and choose definite value or obtain by adaptive approach, choose method poor-performing when channel estimation errors is big of definite value, adopt adaptive approach then to have the big or slow shortcoming of convergence rate of algorithm complex.

Summary of the invention:

Task of the present invention is the multipath channel environment from reality, provides a kind of simple computation method or acquisition methods that obtains interference-bucking value, improves the performance of Interference Cancellation class multi-user detector.

Obtain the method for interference-bucking value below in conjunction with description of drawings the present invention.Send signal through behind the wireless channel, after antenna 1, receiver front end 2, radio demodulating 4,5, bandpass filtering 6, sampling 8 and A/D conversion 9, send into baseband processing unit, as shown in Figure 1, carry out Multiuser Detection 15, deinterleaving 16 and channel decoding 17 then, as shown in Figure 2.Two kinds of typical Interference Cancellation detectors: counteracting serial interference (SIC) and Parallel Interference Cancellation (PIC) are respectively shown in Fig. 3 and 4, but under the multidiameter fading channel environment, the respectively footpath signal that captures carries out coherent detection 35 respectively, Rake needs interference 40 is reproduced in every footpath after merging processing 36, judgement, as shown in Figure 5.Because phase place, the amplitude in every footpath are different, therefore need utilize the value of channel estimating.And in the partial interference cancellation receiver, as shown in Figure 6, when reproducing interference, being multiplied by weights carries out partial interference cancellation, and weights are to be obtained by definite weights algorithm 42.The present invention provides the algorithm 42 of determining weights just, following surface analysis gained.

By top as can be known described, the accuracy of reproducing the multiple access interference is subjected to the output valve of each bar footpath channel estimating of each user, the i.e. influence of the amplitude of channel estimating and phase place.Therefore can define the acquisition algorithm of weights:

(β, θ) (1) has when not considering θ α=f

α=f (β) (2) has when not considering β

α＝f(θ) (3)

Wherein α indicates to ask the partial interference cancellation weights that obtain, it is β and θ or the function of arbitrary variable among both, β represents the variable quantity of the amplitude of channel estimating amplitude or different several moment channel estimating, θ represents the variable quantity of the phase place of different several moment channel estimating, f () is expressed as a kind of functional relation, and its function characteristic is as follows:

1. the amplitude of the output correspondence of channel estimating is big more, and it is bigger to be mapped as the partial interference cancellation weights; The amplitude of the output correspondence of channel estimating is more little, and it is less to be mapped as the partial interference cancellation weights.

2. the phase value of the output correspondence of channel estimating is compared with the phase value of previous moment channel estimating when changing greatly, the partial interference cancellation weights are less, the phase value of the output correspondence of channel estimating is compared with the phase value of previous moment channel estimating and is changed hour, and the partial interference cancellation weights are bigger.

3. the amplitude of channel estimating output, big more at the variable quantity in several moment of difference, it is less to be mapped as the partial interference cancellation weights; The output of channel estimating, more little at the variable quantity in several moment of difference, it is bigger to be mapped as the partial interference cancellation weights.

4. the phase value of the output correspondence of channel estimating is compared with the phase value of preceding several moment channel estimating when changing greatly, and the partial interference cancellation weights are less; The phase value of the output correspondence of channel estimating is compared with the phase value of preceding several moment channel estimating and is changed hour, and the partial interference cancellation weights are bigger.

5. calculating channel estimates that two moment phase differences are the variable quantities for two moment channel characteristics before and after determining.The partial interference cancellation weights are front and back two functions of the variable quantity of channel characteristics constantly.

6. calculating channel estimates that a plurality of moment phase differences are the variable quantities for several moment channel characteristics before and after determining.The partial interference cancellation weights are functions of the variable quantity of the several moment channel characteristics in front and back.

7. one of output of channel estimating, promptly the size of range value is the function of partial interference cancellation weights.Range value is big more, and the partial interference cancellation weights are big more, otherwise then more little.

8. the phase place of the output of channel estimating, the variable quantity of the phase place of current time and previous moment or preceding several moment phase places is functions of partial interference cancellation weights.What change is big more, and the partial interference cancellation weights are more little, otherwise then big more.

Essence of the present invention is to utilize the amplitude of above-mentioned channel estimating and the functional relation of phase place and partial interference cancellation weights, obtains obtaining the method for partial interference cancellation weights.

Description of drawings:

Fig. 1 is the communication system receiver front end

Wherein, the 1st, antenna, the 2nd, front end RF filter, the 3rd, amplifier, the 4th, relevant device, the 5th, local oscillator, the 6th, bandpass filtering, the 7th, radio frequency amplifier, the 8th, automatic gain control, the 9th, analog to digital converter, the 10th, relevant device, the 11st, relevant device, the 12nd, filter, the 13rd, oscillator, the 14th, filter.

Fig. 2 is the receiver baseband processing unit

Wherein, the 15th, multi-user detector, the 16th, deinterleaver, the 17th, channel decoder.

Fig. 3 is a counteracting serial interference device first order structured flowchart

Wherein, the 18th, matched filter, the 19th, decision device, the 20th, delayer, the 21st, channel estimator, the 22nd, multiplier, the 23rd, multiplier, the 24th, adder.R (t) is a received signal, r (t-T _b) be time-delay T _bReceived signal, g ₁(t-τ ₁-T _b) be spread-spectrum signal,  (t-T _b) be to reproduce interference signal, r ₁(t) be to offset the residue signal that user 1 disturbs.

Fig. 4 is a Parallel Interference Cancellation device first order structured flowchart

Wherein, the 25th, amplitude Estimation device, the 26th, spectrum-spreading unit, the 27th, partial summation unit, 28～30th, adder, the 31st, matched filter banks, 32～34th, decision device, r (t-T _b) be received signal,  ₁(0)～ _k(0) is k user's initial estimation signal, A ₁(t-T _b)～A _k(t-T _b) be k user's amplitude Estimation signal, s ₁(t-τ ₁-T _b)～s _k(t-τ ₁-T _b) be k user's spread-spectrum signal, ${\hat{u}}_1(t-T_b)~{\hat{u}}_k(t-T_b)$ Be k user's the interference signal of reproducing, $\underset{i\≠1}{\mathrm{\Σ}}{\hat{u}}_i(t-T_b)$ Be remove user 1 k-1 user reproduce interference signal and, Be remove user 2 k-1 user reproduce interference signal and, Be remove user k k-1 user reproduce interference signal and,

Be to offset interference signal Residue signal, Be to offset interference signal

Residue signal, Be to offset interference signal

Residue signal,  ₁(1)～ _k(1) is k user's new estimated value.

Fig. 5 is that structured flowchart is reproduced in the matched filtering and the interference of noiseless counteracting weights module under the prior art multidiameter fading channel

Wherein, 35～37th, the matched filter banks in L bar footpath, the 38th, RAKE receiver, the 39th, decision device, the 40th, disturb and reproduce the unit, the 41st, L bar footpath merge cells, MF: matched filter (Match Filter), A﹠amp; T: catch and follow the tracks of (Acquistion and Tracking), PSACE: the channel estimating (Pilot Assisted ChannelEstimation) that frequency pilot sign is auxiliary, Re-spread: heavy spread spectrum.

Fig. 6 has the matched filtering of interference-bucking value module and interference to reproduce structured flowchart under the multidiameter fading channel of the present invention

Wherein, the 42nd, determine the weights algoritic module, this algoritic module is realized according to the interference-bucking value method of obtaining provided by the invention.

Embodiment:

According to top function characteristic, provide several concrete function f () expression formulas below, f () can also have other expression certainly.

1. when function expression was (1), following the getting of interference-bucking value algorithm expression formula: number of users was K in the system of setting up departments, and each user has L bar footpath, and the channel estimation value of the j bar footpath signal of user i is expressed as Wherein | A _{I, j}| for estimating range value,  _{I, j}Be the phase value of channel estimating, because channel estimation value also can be used complex representation, be a+bj, wherein a is the real part of channel estimating, and b is the imaginary part of channel estimating, so ${\mathrm{\φ}}_{i,j}={\mathrm{arctg}}^{-1}\left(\frac{b}{a}\right).$ Therefore (4)～(7) formula is calculated the j bar footpath channel estimating amplitude of user i or the variable quantity β of amplitude below available _{I, j}, promptly ${\mathrm{\β}}_{i,j}=\frac{\left|A_{i,j}\right|}{\left|A_{i,j}\right|+C_1\sqrt{K}{A}_{\mathrm{aver}}}---\left(4\right)$ ${\mathrm{\β}}_{i,j}=\frac{|A_{i,j}{|}^2}{|A_{i,j}{|}^2+C_2\sqrt{K}{P}_{\mathrm{aver}}}---\left(5\right)$ ${\mathrm{\β}}_{i,j}=\frac{\sqrt{K}\left|A_{i,j}\right|}{\underset{i=1}{\overset{K}{\mathrm{\Σ}}}\underset{j=1}{\overset{L}{\mathrm{\Σ}}}\left|A_{i,j}\right|}---\left(6\right)$ ${\mathrm{\β}}_{i,j}=\frac{\sqrt{K}|A_{i,j}{|}^2}{\underset{i=1}{\overset{K}{\mathrm{\Σ}}}\underset{j=1}{\overset{L}{\mathrm{\Σ}}}|A_{i,j}{|}^2}---\left(7\right)$

In force, A in (4) formula _AverBe the mean value of whole users' most powerful path signal amplitude in this sub-district, C ₁Be constant, can be chosen for 1.2553; (5) P in the formula _AverThen be the mean value of whole users' most powerful path signal power in this sub-district, C ₂Be constant, can be chosen for 1.571.This method has been considered the user of different capacity is distributed different interference-bucking values, therefore can be applied to the multi-speed CDMA system.

Suppose that the moment that is used for channel estimating counts n, first the channel estimation mean value in constantly is N channel estimation mean value constantly is

Phase difference between them is  _n- ₁Investigate cos ( now _n- ₁) and cos ²( _n- ₁), at phase difference $|{\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1|\&le;\frac{\mathrm{\&pi;}}{2}$ The time, they all are subtraction functions of phase difference, their variation tendency and channel estimation accuracy are with phase difference  _n- ₁Variation tendency just in time be consistent, so can determine the variable quantity of phase difference in the interference-bucking value with this function; At phase difference $\frac{\mathrm{\&pi;}}{2}<|{\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1|\&le;\mathrm{\&pi;}$ The time, two constantly phase values compare and alter a great deal, by the function feature of f () as can be known, θ should be very little, can be taken as 0.Then θ is expressed as:

According to the function expression of the calculating weights formula of front, when $|{\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1|\&le;\frac{\mathrm{\&pi;}}{2}$ The time, can obtain following eight mathematic(al) representations that calculate interference-bucking value: ${\mathrm{\&alpha;}}_{i,j}=\frac{\left|A_{i,j}\right|}{\left|A_{i,j}\right|+C_1\sqrt{K}{A}_{\mathrm{aver}}}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(10\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\left|A_{i,j}\right|}{\left|A_{i,j}\right|+C_1\sqrt{K}{A}_{\mathrm{aver}}}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(11\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{|A_{i,j}{|}^2}{|A_{i,j}{|}^2+C_2\sqrt{K}{P}_{\mathrm{aver}}}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(12\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\left|A_{i,j}\right|}{|A_{i,j}{|}^2+C_2\sqrt{K}{P}_{\mathrm{aver}}}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(13\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}\left|A_{i,j}\right|}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}\left|A_{i,j}\right|}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(14\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}\left|A_{i,j}\right|}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}\left|A_{i,j}\right|}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(15\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}|A_{i,j}{|}^2}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}|A_{i,j}{|}^2}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(16\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}|A_{i,j}{|}^2}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}|A_{i,j}{|}^2}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(17\right)$ When $({\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1)\&NotElement;\{-\frac{\mathrm{\&pi;}}{2},\frac{\mathrm{\&pi;}}{2}\}$ The time ${\mathrm{\&alpha;}}_{i,j}=0;({\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1)\&NotElement;\{-\frac{\mathrm{\&pi;}}{2},\frac{\mathrm{\&pi;}}{2}\}---\left(18\right)$

Wherein, α _{I, j}The weights in the j bar footpath of expression user i,  _{I, j, n}The j bar footpath of expression user i is the phase value of n constantly.

2. when function expression is (2), following the getting of interference-bucking value algorithm expression formula: ${\mathrm{\&alpha;}}_{i,j}=\frac{\left|A_{i,j}\right|}{\left|A_{i,j}\right|+C_1\sqrt{K}{A}_{\mathrm{aver}}}---\left(19\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{|A_{i,j}{|}^2}{|A_{i,j}{|}^2+C_2\sqrt{K}{P}_{\mathrm{aver}}}---\left(20\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}\left|A_{i,j}\right|}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}\left|A_{i,j}\right|}---\left(21\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}|A_{i,j}{|}^2}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}|A_{i,j}{|}^2}---\left(22\right)$ Wherein, α _{I, j}The weights in the j bar footpath of expression user i.3. when function expression is (3), following the getting of interference-bucking value algorithm expression formula:

Wherein, α _{I, j}The weights in the j bar footpath of expression user i.

In sum as can be known, the present invention has considered under the practical radio communication environment, the several key factors (amplitude of channel estimating and phase place) that influence Interference Cancellation class multi-user detector performance are combined, the weights of selected part Interference Cancellation, reproduce the accuracy that multiple access disturbs thereby improve, improved the systematic function of Interference Cancellation class detector.

Claims (5)

1. the acquisition methods of part interference-bucking value in the interference cancellation receiver, it is characterized in that: the partial interference cancellation weights in the multiple access interference cancellation receiver are corresponding to the amplitude and the phase place output valve of each bar footpath channel estimating of each user, be expressed as interference-bucking value α and be β and θ or the function of arbitrary variable among both, promptly

α=f (β, θ) (1) its concrete function characteristic is:

(1) amplitude of the output correspondence of channel estimating is big more, and it is bigger to be mapped as the partial interference cancellation weights; The amplitude of the output correspondence of channel estimating is more little, and it is less to be mapped as the partial interference cancellation weights;

(2) phase value of the output correspondence of channel estimating is compared with the phase value of previous moment channel estimating when changing greatly, the partial interference cancellation weights are less, the phase value of the output correspondence of channel estimating is compared with the phase value of previous moment channel estimating and is changed hour, and the partial interference cancellation weights are bigger;

(3) output of channel estimating, big more at the variable quantity in several moment of difference, it is less to be mapped as the partial interference cancellation weights; The output of channel estimating, more little at the variable quantity in several moment of difference, it is bigger to be mapped as the partial interference cancellation weights;

(4) phase value of the output correspondence of channel estimating is compared with the phase value of preceding several moment channel estimating when changing greatly, and the partial interference cancellation weights are less; The phase value of the output correspondence of channel estimating is compared with the phase value of preceding several moment channel estimating and is changed hour, and the partial interference cancellation weights are bigger.

2. the acquisition methods of part interference-bucking value in a kind of interference cancellation receiver according to claim 1 is characterized in that: consider β, θ all to the influence of α, when $|{\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1|\&le;\frac{\mathrm{\&pi;}}{2}$ The time, we can obtain following eight kinds of methods of obtaining interference-bucking value: ${\mathrm{\&alpha;}}_{i,j}=\frac{\left|A_{i,j}\right|}{\left|A_{i,j}\right|+C_1\sqrt{K}{A}_{\mathrm{aver}}}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(10\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\left|A_{i,j}\right|}{\left|A_{i,j}\right|+C_1\sqrt{K}{A}_{\mathrm{aver}}}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(11\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{|A_{i,j}{|}^2}{|A_{i,j}{|}^2+C_2\sqrt{K}{P}_{\mathrm{aver}}}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(12\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{|A_{i,j}{|}^2}{|A_{i,j}{|}^2+C_2\sqrt{K}{P}_{\mathrm{aver}}}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(13\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}\left|A_{i,j}\right|}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}\left|A_{i,j}\right|}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(14\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}\left|A_{i,j}\right|}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}\left|A_{i,j}\right|}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(15\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}|A_{i,j}{|}^2}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}|A_{i,j}{|}^2}\cos ({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(16\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}|A_{i,j}{|}^2}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}|A_{i,j}{|}^2}{\cos }^2({\mathrm{\&phi;}}_{i,j,1}-{\mathrm{\&phi;}}_{i,j,n})---\left(17\right)$ When $({\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1)\&NotElement;\{-\frac{\mathrm{\&pi;}}{2},\frac{\mathrm{\&pi;}}{2}\}$ The time, we obtain: ${\mathrm{\&alpha;}}_{i,j}=0;({\mathrm{\&phi;}}_n-{\mathrm{\&phi;}}_1)\&NotElement;\{-\frac{\mathrm{\&pi;}}{2},\frac{\mathrm{\&pi;}}{2}\}---\left(18\right)$

3. the acquisition methods of part interference-bucking value in a kind of interference cancellation receiver according to claim 1 is characterized in that: when not considering θ, we can obtain following four kinds of methods of obtaining interference-bucking value: ${\mathrm{\&alpha;}}_{i,j}=\frac{\left|A_{i,j}\right|}{\left|A_{i,j}\right|+C_1\sqrt{K}{A}_{\mathrm{aver}}}---\left(19\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{|A_{i,j}{|}^2}{|A_{i,j}{|}^2+C_2\sqrt{K}{P}_{\mathrm{aver}}}---\left(20\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}\left|A_{i,j}\right|}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}\left|A_{i,j}\right|}---\left(21\right)$ ${\mathrm{\&alpha;}}_{i,j}=\frac{\sqrt{K}|A_{i,j}{|}^2}{\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}\underset{j=1}{\overset{L}{\mathrm{\&Sigma;}}}|A_{i,j}{|}^2}---\left(22\right)$

4. the acquisition methods of part interference-bucking value in a kind of interference cancellation receiver according to claim 1 is characterized in that: when not considering β, we can obtain following two kinds of methods of obtaining interference-bucking value:

5. the acquisition methods of part interference-bucking value in a kind of interference cancellation receiver according to claim 1, it is characterized in that: the acquisition methods of part interference-bucking value can be used for the Interference Cancellation cdma receiver in the described interference cancellation receiver.

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