CN101931491B - Data processing device and method for processing data thereby - Google Patents

Abstract

The invention relates to the field of wireless communication, in particular to a data processing device and a method for processing data thereby, and aims to solve the problem of serious influence on the decoding performance of data under the high-speed network environment due to incapability of effectively confronting the rapid variation of channels under the high-speed environment during processing of received data in the prior art. The method comprises the following steps of: dividing all soft bit data in the current time slot before an intermediate code into at least one soft bit data segment, and dividing all soft bit data in the current time slot after the intermediate code into at least one soft bit data segment; determining an average amplitude to noise ratio of each soft bit data segment according to an average amplitude value of each soft bit data segment; and performing amplitude and noise processing on each soft bit data in the corresponding soft bit data segment according to the determined average amplitude to noise ratio of each soft bit data segment so as to obtain the processed soft bit data.

Description

A kind of data processing equipment and carry out the method for data processing

Technical field

The present invention relates to wireless communication technology, particularly a kind of data processing equipment and carry out the method for data processing.

Background technology

In the present communication system, network side and end side need be handled the data of receiving after the data that receive the other side's transmission.

As shown in Figure 1, to carry out in the system schematic of data processing, data coding module 1 happens suddenly generation module 2 at transmitter side with BC; Joint-detection module 3, soft-decision module 4, hard decision module 5 and decoding module 6 are at receiver side;

1 pair of data source of data coding module is carried out encoding process, accomplishes information source is carried out chnnel coding;

2 pairs of BC burst generation modules through the data message after the chnnel coding modulate, spread spectrum, scrambling, the data symbol of last generated code chip level;

The data of 3 pairs of BC bursts of joint-detection module generation module, 2 outputs are carried out joint-detection, accomplish multi-user's measuring ability, from the multi-user information of input, distinguish the useful signal that belongs to this user;

After the data of 4 pairs of associatings of soft-decision module detection module, 3 outputs are carried out demodulation, carry out soft-decision and handle, the data symbol in the time of to joint-detection carries out demodulation process, obtains to belong to this user's soft bit information;

The data of 5 pairs of soft-decision modules of hard decision module, 4 outputs are carried out the data bit hard decision process, and the soft Bit data after the joint-detection is reverted to binary bit sequence;

Data behind 6 pairs of hard decisions of decoding module are deciphered processing, accomplish the channel decoding function, and final acquisition belongs to target this user, effective and receives data.

As shown in Figure 1; Receiver side in the TD-SCDMA system is that minimum base unit carries out joint-detection and deal with data with a time slot; As shown in Figure 2, in the frame structure of TD-SCDMA system, in the data structure sketch map of a time slot; Intermediate code between two data areas is the Midamble sign indicating number, is CP at last.

Exist under the channel circumstance of multipath fading, each data symbol and correlation between channels and time and the Doppler frequency shift that causes because of the speed of user terminal are relevant among Fig. 2.When the user terminal high-speed mobile, even in the time interval of a time slot (675us), apart from the far and near different data symbol of Midamble sign indicating number, its correlation between channels also has bigger variation.Fig. 3 representes under the channel circumstance of Rayleigh fading that a data symbol and the channel coefficient correlation that time slot is interior is along with the variation relation between time and the Doppler frequency shift.

The starting point of abscissa is positioned at central authorities' sign indicating number, maximum Doppler frequency shift f among Fig. 3 _mRelevant with user's translational speed, computing formula is following:

$f_m=\frac{v}{c}{f}_h$

Wherein v is user's a movement velocity; C is the propagation velocity of light in free space; f _hIt is the system carrier frequency.

Can see (f under the situation of user terminal high-speed mobile from Fig. 3 _mBigger), in the time of a basic time slot (675us), the far and near different data symbol of distance middle (Midamble) sign indicating number, its correlation between channels differs greatly.

In the time of the user terminal high-speed mobile, because the time variation and the The noise of channel, the amplitude difference opposite sex of the soft bit after the process demodulation alters a great deal, specifically can be referring to Fig. 4 A and Fig. 4 B.

Can know (reception data when comprising that user terminal is in high-speed moving state when user terminal is in high-speed moving state from foregoing; Or network side receives the data of sending when user terminal is in high-speed moving state); Wireless channel changes very fast; Even within a time slot, the channel relevancy of the data symbol different apart from the intermediate code distance also exists than big-difference.At present during deal with data; Be to be that minimum base unit is separated the mediation deal with data with a time slot; Lack the ability that suppresses the amplitude acute variation of different pieces of information symbol in the identical time slot; Can not resist the quick variation of high velocity environment lower channel effectively, thereby the decoding performance to data produces serious influence under network environment at a high speed.

In sum, present when handling the data that receive, the quick variation that can not resist the high velocity environment lower channel effectively, thus the decoding performance to data produces serious influence under network environment at a high speed.

Summary of the invention

The embodiment of the invention provides a kind of data processing equipment and carries out the method for data processing; In order to solve exist in the prior art when handling the data that receive; Can not resist the quick variation of high velocity environment lower channel effectively, thereby the decoding performance to data produces the problem that has a strong impact under network environment at a high speed.

A kind of method of carrying out data processing that the embodiment of the invention provides, this method comprises:

All soft Bit datas before the intermediate code in the current time slots are divided at least one soft bit data segment, all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment;

According to the averaged amplitude value of each soft bit data segment, confirm the average amplitude and noise ratio of each soft bit data segment;

According to the average amplitude and noise ratio of each soft bit data segment of confirming, each the soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise handle the soft Bit data after obtaining handling.

A kind of data processing equipment that the embodiment of the invention provides, this device comprises:

Segmentation module is used for all the soft Bit datas before the intermediate code of current time slots are divided at least one soft bit data segment, and all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment;

Computing module is used for the averaged amplitude value according to each soft bit data segment, confirms the average amplitude and noise ratio of each soft bit data segment;

Data processing module is used for the average amplitude and noise ratio according to each soft bit data segment of confirming, each the soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise handle the soft Bit data after obtaining handling.

The embodiment of the invention is divided at least one soft bit data segment with all the soft Bit datas before the intermediate code in the current time slots, and all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment; According to the averaged amplitude value of each soft bit data segment, confirm the average amplitude and noise ratio of each soft bit data segment; According to the average amplitude and noise ratio of each soft bit data segment of confirming, each the soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise handle the soft Bit data after obtaining handling.Because the quick variation that can resist the high velocity environment lower channel effectively; Stronger antagonism wireless signal amplitude ability jumpy is arranged; The quick decline that can resist wireless channel effectively changes, and makes decoding performance under network environment at a high speed, be greatly improved; Improved the stability of processing data under network environment at a high speed simultaneously, and user experience.

Description of drawings

Fig. 1 carries out the system schematic of data processing for background technology;

Fig. 2 is the data structure sketch map of time slot;

Fig. 3 is the variation sketch map of data symbol and channel coefficient correlation;

The emulation sketch map of soft bit amplitudes when Fig. 4 A is high speed;

The emulation sketch map of soft bit amplitudes when Fig. 4 B is low speed;

Fig. 5 is the structural representation of first kind of data processing equipment of the embodiment of the invention;

Fig. 6 is the structural representation of second kind of data processing equipment of the embodiment of the invention;

Fig. 7 is the structural representation of the third data processing equipment of the embodiment of the invention;

Fig. 8 is the structural representation of the 4th kind of data processing equipment of the embodiment of the invention;

Fig. 9 is divided into soft Bit data for the embodiment of the invention sketch map of a plurality of soft bit data segment;

Figure 10 is the structural representation of embodiment of the invention receiver;

Figure 11 carries out the method flow sketch map of data processing for the embodiment of the invention.

Embodiment

The embodiment of the invention is divided at least two soft bit data segment with all the soft Bit datas in the current time slots; According to the averaged amplitude value of each soft bit data segment, confirm the average amplitude and noise ratio of each soft bit data segment; According to the average amplitude and noise ratio of each soft bit data segment of confirming, each the soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise handle the soft Bit data after obtaining handling.Because the quick variation that can resist the high velocity environment lower channel effectively; Stronger antagonism wireless signal amplitude ability jumpy is arranged; The quick decline that can resist wireless channel effectively changes, and makes decoding performance under network environment at a high speed, be greatly improved.

The scheme of the embodiment of the invention can be applied to TDD (Time Division Duplex, time division duplex) system, also can be applied to FDD (Frequency Division Duplex, FDD) system, and be applicable to network side and end side.

Below in conjunction with Figure of description the embodiment of the invention is described in further detail.

As shown in Figure 5, first kind of data processing equipment of the embodiment of the invention comprises: segmentation module 10, computing module 20 and data processing module 30.

Segmentation module 10 is used for all the soft Bit datas before the intermediate code of current time slots are divided at least one soft bit data segment, and all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment.

Wherein, can divide soft bit data block as required, antijamming capability is strong such as needing under the current environment, then can divide fewer soft bit data segment; Current environment is followed the tracks of the fast-changing Capability Requirement of high speed lower channel down than higher, then can divide some soft bit data segment more.

When dividing soft bit data segment, can adopt the mode of uniform distribution, the number of the soft Bit data in each soft bit data segment of promptly dividing is identical; Also can adopt inhomogeneous mode to divide, the number (or part is identical) inequality of the soft Bit data in each soft bit data segment of promptly dividing.

Because the channel relevancy of diverse location data symbol there are differences within a time slot, for the mode through segmentation demonstrates fully the variation of high speed lower channel, the inhomogeneous mode of preferable employing is divided, and promptly the length of each soft bit data segment is inconsistent.The uneven segmentation of data symbol can be followed the tracks of the variation of wireless channel under the high speed network environment more accurately, improves decoding performance.

Further; If the present invention is applied in the TD-SCDMA system; And all the soft Bit datas before the intermediate code in the current time slots are divided into a plurality of soft bit data segment, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code;

All soft Bit datas after the intermediate code in the current time slots are divided into a plurality of soft bit data segment, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code.

Need to prove that the embodiment of the invention is not limited to above-mentioned dividing mode, all practical embodiment of the invention of other dividing mode.

In the practical implementation process, the soft bit data segment after each time slot is divided is all identical, and promptly the number of soft Bit data is all identical in the soft bit data segment of the quantity of soft bit data segment and same position.In Fig. 9; 4 soft bit data segment have been divided; Then each time slot is all divided 4 soft bit data segment, and the number of the soft Bit data in the soft bit data segment 1 of each time slot is all identical, and the number of the soft Bit data in the soft bit data segment 2 of each time slot is all identical; The number of the soft Bit data in the soft bit data segment 3 of each time slot is all identical, and the number of the soft Bit data in the soft bit data segment 4 of each time slot is all identical.

Computing module 20 is used for the averaged amplitude value according to each soft bit data segment, confirms the average amplitude and noise ratio of each soft bit data segment that segmentation module 10 is divided.

Wherein, computing module 20 is confirmed the average amplitude and noise ratio of each soft bit data segment according to formula:

${{\stackrel{\‾}{\mathrm{ANR}}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{Ru}}\right)}=\frac{{{\stackrel{\‾}{b}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{Ru}}\right)}}{{\mathrm{\σ}}_b^{2^{\left(K_{\mathrm{Ru}}\right)}}}$ (formula one)

is the average amplitude and noise ratio of a soft bit data segment; is the noise intensity of all soft Bit datas in the current time slots; is the averaged amplitude value of this soft bit data segment.

Owing to can carry out transfer of data through a plurality of code channels between user terminal and the base station; The data processing equipment of the embodiment of the invention needs respectively the soft Bit data on each code channel to be handled; After promptly handling the soft Bit data on the code channel; At the soft Bit data of handling on the next code channel, so which code channel the soft Bit data that needs to distinguish when pre-treatment belongs to, the embodiment of the invention is passed through k exactly _RuDistinguish, that is to say k _RuThe employed code channel in expression active user terminal, for example user terminal uses 8 code channels at present, and the numbering of Kru is exactly 1～8.

Further, computing module 20 is confirmed the averaged amplitude value of soft bit data segment according to following manner:

To belong to addition behind each the soft Bit data delivery in the same soft bit data segment;

With the number of the value that obtains after the addition divided by soft Bit data in the soft bit data segment of correspondence;

With the averaged amplitude value of the merchant who obtains as the soft bit data segment of correspondence.

In the practical implementation process; Computing module 20 also need calculate current time slots, the noise intensity of active user, all soft Bit datas of Kru code channel

Wherein, the noise intensity of soft Bit data is provided by the physical layer measurement module, i.e. the noise intensity of the soft Bit data of computing module 20 uses is that physical layer is sent.

Data processing module 30, the average amplitude and noise ratio of each the soft bit data segment that is used for confirming according to computing module 20 carries out amplitude and noise to each the soft Bit data in the soft bit data segment of correspondence and handles the soft Bit data after obtaining handling.

Wherein, data processing module 30 is the average amplitude and noise ratio of each soft bit data segment, respectively with corresponding soft bit data segment in each soft Bit data multiply each other the soft Bit data after obtaining handling.

Concrete; The average amplitude and noise ratio of each soft bit data segment that data processing module 30 specified data processing modules 30 are confirmed; Each soft Bit data with same soft bit data segment multiplies each other with average amplitude and noise ratio weighting then, and the value that obtains is as the soft Bit data after handling through segmentation ANR.

Because in fact the ANR phasing not of uniform size of each section is exactly the weight coefficient of each segment data with the ANR of, each that calculates section, the data of different sections multiply by each self-corresponding ANR, in fact are exactly the effect that has played a kind of weighted.

For the accuracy of the average amplitude and noise ratio that guarantees each soft bit data segment that computing module 20 is confirmed, as shown in Figure 6, the data processing equipment of the embodiment of the invention can further include: correcting module 40.

Correcting module 40; Being used for each soft Bit data in the soft bit data segment of 30 pairs of correspondences of data processing module carries out before amplitude and noise handle; The average amplitude and noise ratio of each soft bit data segment that computing module 20 is confirmed carries out correcting process, obtains revised average amplitude and noise ratio.

Concrete; Because the size of the accuracy of ANR result of calculation and the noise intensity of current system has relation; In order to improve the performance of this processing scheme; Need revise for the result of calculation of ANR according to the size of signal to noise ratio snr, concrete numerical procedure is that the ANR result of calculation for each data segment multiply by a correction factor C (SNR), and the scope of the size of correction factor and SNR size has relation; Correction factor is the empirical value that product is realized, is obtained and in the properties of product test, is revised by emulation.

Because might there be certain correlation in the state of the channel in (the 5ms time interval) between two sub-frame.In order to guarantee the performance of embodiment of the invention data processing equipment under the slow network environment, improve the noiseproof feature of data processing equipment simultaneously, the data processing equipment of the embodiment of the invention can further include: recurrence processing module 50.

Recurrence processing module 50 is used for each soft Bit data in the soft bit data segment of 30 pairs of correspondences of data processing module and carries out before amplitude and noise handle, and the average amplitude and noise ratio of each soft bit data segment of obtaining is carried out the recurrence smoothing processing.

Wherein, as shown in Figure 7, comprise recurrence processing module 50 at the data processing equipment of the embodiment of the invention, when not comprising correcting module 40, the average amplitude and noise ratio of each soft bit data segment that 50 pairs of computing modules of recurrence processing module 20 are confirmed carries out the recurrence smoothing processing;

As shown in Figure 8, when the data processing equipment of the embodiment of the invention comprised correcting module 40 with recurrence processing module 50, the average amplitude and noise ratio of 50 pairs of correcting module 40 revised each soft bit data segment of recurrence processing module carried out the recurrence smoothing processing.

Concrete, recurrence processing module 50 is carried out the recurrence smoothing processing according to formula to the average amplitude and noise ratio of each soft bit data segment of obtaining:

${{\mathrm{ANR}}_{D\_\mathrm{Segment}\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)=p\×{{\mathrm{ANR}}_{D\_\mathrm{Segment}\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}(n-1)+(1-p)\×{{\stackrel{\‾}{\mathrm{ANR}}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)$

(formula two)

Wherein,

is that a data segment carries out the average amplitude and noise ratio after the recurrence smoothing processing in the current time slots;

carries out the average amplitude and noise ratio after the recurrence smoothing processing with the data segment of this data segment same position in the last time slot;

is the average amplitude and noise ratio of this data segment of obtaining, and p is the recurrence mean coefficient.

The data processing equipment of the embodiment of the invention can be the base station, also can be user terminal.

In order further to introduce the scheme of the embodiment of the invention, be example so that soft Bit data is divided into 4 soft bit data segment below, be elaborated.

As shown in Figure 9; The embodiment of the invention is applied in (intermediate code is the Midamble sign indicating number) in the TD-SCDMA system; Soft Bit data is divided in the sketch map of a plurality of soft bit data segment; Segmentation module 10 is divided into 4 soft bit data segment with soft Bit data; All soft Bit datas before the Midamble sign indicating number in the current time slots are divided into soft bit data segment 1 and soft bit data segment 2, all the soft Bit datas after the Midamble sign indicating number in the current time slots are divided into soft bit data segment 3 and soft bit data segment 4.

Computing module 20 confirms that the mode of the averaged amplitude value of soft bit data segment 1～4 can be definite according to formula:

Soft bit data segment 1:

${{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}1}}^{\left(k_{\mathrm{ru}}\right)}=\frac{1}{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1}\underset{n=0}{\overset{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1}{\mathrm{\&Sigma;}}}\left|b_n^{\&prime;\left(k_{\mathrm{ru}}\right)}\right|$

Soft bit data segment 2:

${{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}2}}^{\left(k_{\mathrm{ru}}\right)}=\frac{1}{D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2}\underset{n=D\_\mathrm{Segment}1}{\overset{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1+D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2}{\mathrm{\&Sigma;}}}\left|b_n^{\&prime;\left(k_{\mathrm{ru}}\right)}\right|$

Soft bit data segment 3:

${{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}3}}^{\left(k_{\mathrm{ru}}\right)}=\frac{1}{D\_\mathrm{<figure-callout\; id="3"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}3}\underset{n=(D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1+D\_\mathrm{Segment}2)}{\overset{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1+D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2+D\_\mathrm{<figure-callout\; id="3"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}3}{\mathrm{\&Sigma;}}}\left|b_n^{\&prime;\left(k_{\mathrm{ru}}\right)}\right|$

Soft bit data segment 4:

${{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}4}}^{\left(k_{\mathrm{ru}}\right)}=\frac{1}{D\_\mathrm{<figure-callout\; id="4"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}4}\underset{n=(D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1+D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2+D\_\mathrm{Segment}3)}{\overset{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1+D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2+D\_\mathrm{<figure-callout\; id="3"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}3+D\_\mathrm{<figure-callout\; id="4"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}4}{\mathrm{\&Sigma;}}}\left|b_n^{\&prime;\left(k_{\mathrm{ru}}\right)}\right|.$

Wherein, D_Segment1～D_Segment4 is the number of soft Bit data assigned in the soft bit data segment 1～4 respectively, expression through the soft Bit data of the joint-detection data symbol demodulation behind the phase alignment.

Computing module 20 is according to the average amplitude and noise ratio of formula one definite soft bit data segment 1～4, and is concrete:

Soft bit data segment 1:

${{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}1}}^{\left(K_{\mathrm{ru}}\right)}=\frac{{{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}1}}^{\left(K_{\mathrm{ru}}\right)}}{{\mathrm{\&sigma;}}_b^{2^{\left(K_{\mathrm{ru}}\right)}}}$

Soft bit data segment 2:

${{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}2}}^{\left(K_{\mathrm{ru}}\right)}=\frac{{{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}2}}^{\left(K_{\mathrm{ru}}\right)}}{{\mathrm{\&sigma;}}_b^{2^{\left(K_{\mathrm{ru}}\right)}}}$

Soft bit data segment 3:

${{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}3}}^{\left(K_{\mathrm{ru}}\right)}=\frac{{{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}3}}^{\left(K_{\mathrm{ru}}\right)}}{{\mathrm{\&sigma;}}_b^{2^{\left(K_{\mathrm{ru}}\right)}}}$

Soft bit data segment 4:

${{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}4}}^{\left(K_{\mathrm{ru}}\right)}=\frac{{{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}4}}^{\left(K_{\mathrm{ru}}\right)}}{{\mathrm{\&sigma;}}_b^{2^{\left(K_{\mathrm{ru}}\right)}}}.$

The average amplitude and noise ratio of the soft bit data segment 1～4 that 40 pairs of computing modules of correcting module 20 are confirmed carries out correcting process, obtains revised average amplitude and noise ratio.

Recurrence processing module 50 is carried out the recurrence smoothing processing according to the average amplitude and noise ratio of two pairs of revised soft bit data segment 1～4 of formula:

Soft bit data segment 1:

${{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)=p\&times;{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}(n-1)+(1-p)\&times;{{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}1}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)$

Wherein:

K for current subframe, active user, current time slots _RuThe soft bit data segment 1 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, a last time slot _RuThe soft bit data segment 1 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, current time slots _RuThe average amplitude and noise ratio of the soft bit data segment 1 of code channel; P is the recurrence mean coefficient;

Soft bit data segment 2:

${{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)=p\&times;{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}(n-1)+(1-p)\&times;{{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}2}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)$

Wherein:

K for current subframe, active user, current time slots _RuThe soft bit data segment 2 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, a last time slot _RuThe soft bit data segment 2 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, current time slots _RuThe average amplitude and noise ratio of the soft bit data segment 2 of code channel; P is the recurrence mean coefficient;

Soft bit data segment 3:

${{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="3"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}3\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)=p\&times;{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="3"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}3\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}(n-1)+(1-p)\&times;{{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}3}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)$

Wherein:

K for current subframe, active user, current time slots _RuThe soft bit data segment 3 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, a last time slot _RuThe soft bit data segment 3 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, current time slots _RuThe average amplitude and noise ratio of the soft bit data segment 3 of code channel; P is the recurrence mean coefficient;

Soft bit data segment 4:

${{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="4"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}4\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)=p\&times;{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="4"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}4\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}(n-1)+(1-p)\&times;{{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}4}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)$

Wherein:

K for current subframe, active user, current time slots _RuThe soft bit data segment 4 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, a last time slot _RuThe soft bit data segment 4 of code channel is carried out the average amplitude and noise ratio after the recurrence smoothing processing;

K for current subframe, active user, current time slots _RuThe average amplitude and noise ratio of the soft bit data segment 4 of code channel; P is the recurrence mean coefficient.

Data processing module 30 carries out amplitude and noise according to formula to each the soft Bit data in the soft bit data segment 1～4 to be handled:

Soft bit data segment 1:

${b_{\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1,n}^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}={b_n^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}*{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="1"\; label="Segment"\; filenames="H2009100874391E00012.png,H2009100874391E00021.png"\; state="\{\{state\}\}">Segment</figure-callout>}1\_\mathrm{Rec}}}^{\left(k_{\mathrm{ru}}\right)}\left(n\right)$

Be current subframe, active user k _RuThe amplitude and noise ratio recurrence average result of the soft bit data segment 1 in code channel, the current time slots;

Soft bit data segment 2:

${b_{\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2,n}^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}={b_n^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}*{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="2"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}2\_\mathrm{Rec}}}^{\left(k_{\mathrm{ru}}\right)}\left(n\right)$

Current subframe, active user k _RuThe amplitude and noise ratio recurrence average result of the soft bit data segment 2 in code channel, the current time slots;

Soft bit data segment 3:

${b_{\mathrm{<figure-callout\; id="3"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}3,n}^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}={b_n^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}*{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="3"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}3\_\mathrm{Rec}}}^{\left(k_{\mathrm{ru}}\right)}\left(n\right)$

Current subframe, active user k _RuThe amplitude and noise ratio recurrence average result of the soft bit data segment 3 in code channel, the current time slots;

Soft bit data segment 4:

${b_{\mathrm{<figure-callout\; id="4"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}4,n}^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}={b_n^{\&prime;}}^{\left(k_{\mathrm{ru}}\right)}*{{\mathrm{ANR}}_{D\_\mathrm{<figure-callout\; id="4"\; label="Segment"\; filenames="H2009100874391E00011.png"\; state="\{\{state\}\}">Segment</figure-callout>}4\_\mathrm{Rec}}}^{\left(k_{\mathrm{ru}}\right)}\left(n\right)$

Be current subframe, active user k _RuThe amplitude and noise ratio recurrence average result of the soft bit data segment 4 in code channel, the current time slots.

Embodiment of the invention data processing equipment can be the receiver in user terminal and the base station; Shown in figure 10; Except comprising segmentation module 10, computing module 20, data processing module 30, correcting module 40 and recurrence processing module 50, also comprise joint-detection module, soft-decision module, hard decision module and decoding module in the receiver of the embodiment of the invention.

Wherein, the soft Bit data in the current time slots of 10 pairs of soft-decision module outputs of segmentation module is divided;

Soft Bit data after data processing module 30 will be handled inputs to the hard decision module.

Because the soft Bit data that the hard decision module is received is the soft Bit data after handling through amplitude and noise, thus guaranteed that the amplitude difference opposite sex of the data that decoding module is deciphered can be very not big, thus guaranteed the reliability of decoding performance.

Shown in figure 11, the method that the embodiment of the invention is carried out data processing comprises the following steps:

Step 801, all the soft Bit datas before the intermediate code in the current time slots are divided at least one soft bit data segment, all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment.

Step 802, according to the averaged amplitude value of each soft bit data segment, confirm the average amplitude and noise ratio of each soft bit data segment.

The average amplitude and noise ratio of each soft bit data segment that step 803, basis are confirmed carries out amplitude and noise to each the soft Bit data in the soft bit data segment of correspondence and handles the soft Bit data after obtaining handling.

In the step 801, can divide soft bit data block as required, antijamming capability is strong such as needing under the current environment, then can divide fewer soft bit data segment; Current environment is followed the tracks of the fast-changing Capability Requirement of high speed lower channel down than higher, then can divide some soft bit data segment more.

When dividing soft bit data segment, can adopt the mode of uniform distribution, the number of the soft Bit data in each soft bit data segment of promptly dividing is identical; Also can adopt inhomogeneous mode to divide, the number (or part is identical) inequality of the soft Bit data in each soft bit data segment of promptly dividing.

Because the channel relevancy of diverse location data symbol there are differences within a time slot; Demonstrate fully the variation of high speed lower channel for mode through segmentation; The inhomogeneous mode of preferable employing is divided; The length that is each soft bit data segment is inconsistent, and the uneven segmentation of data symbol can be followed the tracks of the variation of wireless channel under the high speed network environment more accurately, improves decoding performance.

Further; If the present invention is applied in the TD-SCDMA system; And all the soft Bit datas before the intermediate code in the current time slots are divided into a plurality of soft bit data segment, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code;

All soft Bit datas after the intermediate code in the current time slots are divided into a plurality of soft bit data segment, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code.

Need to prove that the embodiment of the invention is not limited to above-mentioned dividing mode, all practical embodiment of the invention of other dividing mode.

In the practical implementation process, the soft bit data segment after each time slot is divided is all identical, and promptly the number of soft Bit data is all identical in the soft bit data segment of the quantity of soft bit data segment and same position.

In the step 802, can confirm the average amplitude and noise ratio of each soft bit data segment according to formula one.

Owing to can carry out transfer of data through a plurality of code channels between user terminal and the base station; The data processing equipment of the embodiment of the invention needs respectively the soft Bit data on each code channel to be handled; After promptly handling the soft Bit data on the code channel; At the soft Bit data of handling on the next code channel, so which code channel the soft Bit data that needs to distinguish when pre-treatment belongs to, the embodiment of the invention is passed through k exactly _RuDistinguish, that is to say k _RuThe activated code channel label at expression active user terminal.

Further, confirm the averaged amplitude value of soft bit data segment in the step 802 according to following manner:

To belong to addition behind each the soft Bit data delivery in the same soft bit data segment;

With the number of the value that obtains after the addition divided by soft Bit data in the soft bit data segment of correspondence;

With the averaged amplitude value of the merchant who obtains as the soft bit data segment of correspondence.

In the step 802; Also need calculate current time slots, the noise intensity of active user, all soft Bit datas of Kru code channel

Wherein, the noise intensity of soft Bit data is confirmed by physical layer.

In the step 803, with the average amplitude and noise ratio of each soft bit data segment, respectively with corresponding soft bit data segment in each soft Bit data multiply each other the soft Bit data after obtaining handling.

Concrete, the average amplitude and noise ratio of each soft bit data segment of confirming, each the soft Bit data with same soft bit data segment multiplies each other with average amplitude and noise ratio weighting then, and the value that obtains is as the soft Bit data after handling through segmentation ANR.

Because in fact the ANR phasing not of uniform size of each section is exactly the weight coefficient of each segment data with the ANR of, each that calculates section, the data of different sections multiply by each self-corresponding ANR, in fact are exactly the effect that has played a kind of weighted.

Accuracy for the average amplitude and noise ratio of each soft bit data segment of guaranteeing in the step 802 to confirm can further include between step 802 and the step 803:

Step a803, the average amplitude and noise ratio of each soft bit data segment of confirming is carried out correcting process, obtain revised average amplitude and noise ratio.

Concrete; Because the size of the accuracy of ANR result of calculation and the noise intensity of current system has relation; In order to improve the performance of this processing scheme; Need revise for the result of calculation of ANR according to the size of signal to noise ratio snr, concrete numerical procedure is that the ANR result of calculation for each data segment multiply by a correction factor C (SNR), and the scope of the size of correction factor and SNR size has relation; Correction factor is the empirical value that product is realized, is obtained and in the properties of product test, is revised by emulation.

For the TD system, because might there be certain correlation in the state of the channel in (the 5ms time interval) between two sub-frame.In order to guarantee the performance under the slow network environment, improve the noiseproof feature of data processing equipment simultaneously, can further include between step 802 and the step 803:

Step b803, the average amplitude and noise ratio of each soft bit data segment of obtaining is carried out the recurrence smoothing processing.

Wherein, if do not need execution in step a803 before the step b803, then step b803 carries out the recurrence smoothing processing to the average amplitude and noise ratio (promptly not carrying out the average amplitude and noise ratio of correcting process) of each soft bit data segment of obtaining in the step 802;

If need execution in step a803 before the step b803, then step b803 carries out the recurrence smoothing processing to the average amplitude and noise ratio (promptly carrying out the average amplitude and noise ratio of correcting process) of each soft bit data segment of obtaining among the step a803.

The concrete average amplitude and noise ratio according to two pairs of each soft bit data segment that obtains of formula carries out the recurrence smoothing processing.

From the foregoing description, can find out: the embodiment of the invention is divided at least one soft bit data segment with all the soft Bit datas before the intermediate code in the current time slots, and all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment; According to the averaged amplitude value of each soft bit data segment, confirm the average amplitude and noise ratio of each soft bit data segment; According to the average amplitude and noise ratio of each soft bit data segment of confirming, each the soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise handle the soft Bit data after obtaining handling.

Because the quick variation that can resist the high velocity environment lower channel effectively; Stronger antagonism wireless signal amplitude ability jumpy is arranged; The quick decline that can resist wireless channel effectively changes, and makes decoding performance under network environment at a high speed, be greatly improved; Improved the stability of processing data under network environment at a high speed simultaneously, and user experience.

Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.

Claims (16)

1. a method of carrying out data processing is characterized in that, this method comprises:

All soft Bit datas before the intermediate code in the current time slots are divided at least one soft bit data segment, all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment;

According to the averaged amplitude value of each soft bit data segment, confirm the average amplitude and noise ratio of each soft bit data segment;

According to the average amplitude and noise ratio of each soft bit data segment of confirming, each the soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise handle the soft Bit data after obtaining handling.

2. the method for claim 1 is characterized in that, after the said average amplitude and noise ratio of confirming each soft bit data segment, saidly each soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise also comprises before handling:

Average amplitude and noise ratio to each soft bit data segment carries out correcting process, obtains revised average amplitude and noise ratio.

3. according to claim 1 or claim 2 method is characterized in that, after the said average amplitude and noise ratio of confirming each soft bit data segment, saidly each soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise also comprises before handling:

Average amplitude and noise ratio to each soft bit data segment of obtaining carries out the recurrence smoothing processing.

4. method as claimed in claim 3 is characterized in that, according to formula the average amplitude and noise ratio of each soft bit data segment of obtaining is carried out the recurrence smoothing processing:

${{\mathrm{ANR}}_{D\_\mathrm{Segment}\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)=p\&times;{{\mathrm{ANR}}_{D\_\mathrm{Segment}\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}(n-1)+(1-p)\&times;{{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)$

Wherein,

Be that a data segment carries out the average amplitude and noise ratio after the recurrence smoothing processing in the current time slots,

Be to carry out the average amplitude and noise ratio after the recurrence smoothing processing with the data segment of this data segment same position in the last time slot,

Be the average amplitude and noise ratio of this data segment of obtaining, K _RuThe employed code channel in expression active user terminal, p is the recurrence mean coefficient.

5. the method for claim 1; It is characterized in that; If all the soft Bit datas before the intermediate code in the current time slots are divided into a plurality of soft bit data segment, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code;

If all the soft Bit datas after the intermediate code in the current time slots are divided into a plurality of soft bit data segment, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code.

6. the method for claim 1 is characterized in that, confirms the averaged amplitude value of each soft bit data segment according to the following step:

To belong to addition behind each the soft Bit data delivery in the same soft bit data segment;

With the number of the value that obtains after the addition divided by soft Bit data in the soft bit data segment of correspondence;

With the averaged amplitude value of the merchant who obtains as the soft bit data segment of correspondence.

7. the method for claim 1 is characterized in that, confirms the average amplitude and noise ratio of each soft bit data segment according to formula:

${{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{ru}}\right)}=\frac{{{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{ru}}\right)}}{{\mathrm{\&sigma;}}_b^{2^{\left(K_{\mathrm{ru}}\right)}}}$

Wherein,

It is the average amplitude and noise ratio of a soft bit data segment; It is the noise intensity of all soft Bit datas in the current time slots;

Be the averaged amplitude value of this soft bit data segment, K _RuThe employed code channel in expression active user terminal.

8. the method for claim 1 is characterized in that, saidly each soft Bit data in the soft bit data segment is carried out amplitude and noise handles and to comprise:

With the average amplitude and noise ratio of each soft bit data segment, respectively with corresponding soft bit data segment in each soft Bit data multiply each other.

9. a data processing equipment is characterized in that, this device comprises:

Segmentation module is used for all the soft Bit datas before the intermediate code of current time slots are divided at least one soft bit data segment, and all the soft Bit datas after the intermediate code in the current time slots are divided at least one soft bit data segment;

Computing module is used for the averaged amplitude value according to each soft bit data segment, confirms the average amplitude and noise ratio of each soft bit data segment;

Data processing module is used for the average amplitude and noise ratio according to each soft bit data segment of confirming, each the soft Bit data in the soft bit data segment of correspondence is carried out amplitude and noise handle the soft Bit data after obtaining handling.

10. device as claimed in claim 9 is characterized in that, this device also comprises:

Correcting module is used for each soft Bit data of the soft bit data segment of correspondence being carried out before amplitude and noise handle at said data processing module, and the average amplitude and noise ratio of each soft bit data segment is carried out correcting process, obtains revised average amplitude and noise ratio.

11., it is characterized in that this device also comprises like claim 9 or 10 described devices:

The recurrence processing module is used for each soft Bit data of the soft bit data segment of correspondence being carried out before amplitude and noise handle at said data processing module, and the average amplitude and noise ratio of each soft bit data segment of obtaining is carried out the recurrence smoothing processing.

12. device as claimed in claim 11 is characterized in that, said recurrence processing module is carried out the recurrence smoothing processing according to formula to the average amplitude and noise ratio of each soft bit data segment of obtaining:

${{\mathrm{ANR}}_{D\_\mathrm{Segment}\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)=p\&times;{{\mathrm{ANR}}_{D\_\mathrm{Segment}\_\mathrm{Rec}}}^{\left(K_{\mathrm{ru}}\right)}(n-1)+(1-p)\&times;{{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{ru}}\right)}\left(n\right)$

Wherein,

Be that a data segment carries out the average amplitude and noise ratio after the recurrence smoothing processing in the current time slots,

Be to carry out the average amplitude and noise ratio after the recurrence smoothing processing with the data segment of this data segment same position in the last time slot,

Be the average amplitude and noise ratio of this data segment of obtaining, K _RuThe employed code channel in expression active user terminal, p is the recurrence mean coefficient.

13. device as claimed in claim 9; It is characterized in that; When said segmentation module is divided into a plurality of soft bit data segment with all the soft Bit datas before the intermediate code in the current time slots, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code;

When said segmentation module is divided into a plurality of soft bit data segment with all the soft Bit datas after the intermediate code in the current time slots, then lack than the number of the soft Bit data in intermediate code soft bit data segment far away from the near soft bit data segment of intermediate code.

14. device as claimed in claim 9 is characterized in that, said computing module also is used for:

To belong to addition behind each the soft Bit data delivery in the same soft bit data segment;

With the number of the value that obtains after the addition divided by soft Bit data in the soft bit data segment of correspondence;

With the averaged amplitude value of the merchant who obtains as the soft bit data segment of correspondence.

15. device as claimed in claim 9 is characterized in that, said computing module is confirmed the average amplitude and noise ratio of each soft bit data segment according to formula:

${{\stackrel{\&OverBar;}{\mathrm{ANR}}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{ru}}\right)}=\frac{{{\stackrel{\&OverBar;}{b}}_{D\_\mathrm{Segment}}}^{\left(K_{\mathrm{ru}}\right)}}{{\mathrm{\&sigma;}}_b^{2^{\left(K_{\mathrm{ru}}\right)}}}$

Wherein,

It is the average amplitude and noise ratio of a soft bit data segment;

It is the noise intensity of all soft Bit datas in the current time slots;

Be the averaged amplitude value of this soft bit data segment, K _RuThe employed code channel in expression active user terminal.

16. device as claimed in claim 9 is characterized in that, said data processing module is used for:

With the average amplitude and noise ratio of each soft bit data segment, respectively with corresponding soft bit data segment in each soft Bit data multiply each other the soft Bit data after obtaining handling.

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