CN100391120C - Method for detecting shift sequence under lack of distribution mode - Google Patents

Abstract

The present invention provides a method for detecting shift sequence under a distribution mode of saving and lack, which comprises the following steps that the average noise power and the noise threshold can be calculated for calculating the average noise and generating noises to judge the threshold; the detection of discontinuous transmission can be carried out; the detection of the discontinuous transmission state of the system can be carried out; whether other estimation windows are effective except a first estimation window in a transmission channel of each physical coded combination of the object user can be calculated; after the detection of the estimation window to the object user is completed, the estimation windows of other users can be estimated. The method of the present invention can exactly detect the information of distributing to the active training sequence of the user by fully utilizing the information of the transmission channel of the coded combination of a physical layer of the user, and the information of the active training sequence of other users can be calculated according to the information of the training sequence of the user simultaneously. The information of other users can be exactly detected, and the present invention is helpful for the realization of the joint detection method of a receiving device.

Description

The method that shift sequence under the default distributing mode detects

Technical field

The present invention relates to the method that the shift sequence under a kind of default distributing mode detects, specifically, relate to a kind of method that shift sequence fast and accurately under the default distributing mode detects in TD-SCDMA (TD SDMA) communication system.

Background technology

In the receiving system of TD-SCDMA system, the method for salary distribution of shift sequence is stipulated by system in the whole system.Setting according to network layer, the method of salary distribution of the training sequence of system has three kinds, as shown in Figure 1: default distributing mode (DEFAULT), public distributing mode (COMMON) and assigned distributing mode by user (UESPECFIC), in three kinds of different shift sequence methods of salary distribution, the available Given information of system also is different, so follow-up detection algorithm also will change according to different Given informations.

Transfer training information has great influence to the demodulation performance of whole system.System distributes to one or more movement training sequence of user according to service needed, information corresponding to these professional transmission requirements, the base station can send a configuration information, by these configuration informations of decoding, the terminal use can be definite the information that calculates professional employed movement training sequence, but will be transmitted in these configuration informations first radio frames in a transmission intercal, can't obtain definite information before obtaining in that this configuration information is decoded, therefore at least in first radio frames of certain Transmission Time Interval, the targeted customer needs the situation of the movement training sequence of the activation that base stations detected sends, these information are in the process of the demodulation of back, all be essential, and the situation of the detection of movement training sequence is very serious to the influence of follow-up demodulation, in the time of the effective movement training sequence of omission, can cause the situation of directly losing of data, can cause the severe exacerbation of follow-up decoder module performance, also be the mis-behave of joint-detection module simultaneously, same when the flase drop situation occurring, also can make the mis-behave of follow-up joint-detection, cause the waste of system's calculation resources simultaneously.

Particularly when the targeted customer is assigned with a plurality of physical layer encodes combination of transmitted channel, the movement training sequence of how judging the targeted customer accurately and being distributed, be whole receiving system most important content, its performance will produce great influence to receiving the demodulating system performance.Conventional detection algorithm is to the use and the imperfection of targeted customer's Given information, and therefore the information of the transfer training system of detection system need effectively to utilize all possible information that this moment, system assignment was given the targeted customer accurately.

Summary of the invention

The method that the object of the present invention is to provide the shift sequence under a kind of default distributing mode to detect, the information of the physical layer encodes combination of transmitted channel by utilizing this user fully, detect the information of the activated training sequence of distributing to this user accurately, and the while is according to the information of this user's training sequence, calculate the information of other users' activated training sequence, to detect other users' information accurately, help the realization of the joint detection algorithm of receiving system.

For reaching above-mentioned purpose, the invention provides the method that the shift sequence under a kind of default distributing mode detects, it can be realized by following technical scheme:

The method that shift sequence under a kind of default distributing mode in TDS-CDMA system detects; Because in default distributing mode, after a plurality of physical layer encodes combination of transmitted channel allocation were given the targeted customer, the information of these channels all was Given information for this user profile; Finish channel estimating, and after obtaining channel estimation value DP; Because DP only comprises corresponding amplitude or power information, does not comprise respective phase information, so need the estimating window of training sequence is detected; This method specifically comprises following steps:

Step 1, calculating average noise power and noise gate in order to calculating average noise power, and produce the detection threshold Thr of discontinuous reception _DTX

Step 2, carry out the detection of discontinuous transmission (DRX): when system configuration is the state of discontinuous transmission, execution in step 3; When system configuration is not used discontinuous transmission state, direct redirect execution in step 4;

The detection of step 3, the discontinuous transmission state of system: if system is not in discontinuous transmission state, then execution in step 4; If system is in discontinuous transmission state, then finish the subsequent operation of current channel;

In each physical layer encodes combination of transmitted channel of step 4, calculating targeted customer, whether other estimating windows except that first estimating window are effective;

Step 5, after the detection of finishing targeted customer's estimating window, other users' estimating window is estimated.

Described step 1 comprises following steps:

Step 1.1, calculating average noise power:

The positional information of the noise that calculates according to previous frame by asking the mean value of the locational noise power of noise, is calculated the average noise power P in this frame _Noise:

$P_{\mathrm{noise}}=\frac{\underset{t}{\overset{T}{\mathrm{\Σ}}}\left(\underset{k=1}{\overset{W}{\mathrm{\Σ}}}({\mathrm{DP}}_t\left(k\right)\×{\mathrm{NoiseMask}}_t\left(k\right))\right)}{\underset{t}{\overset{T}{\mathrm{\Σ}}}\underset{k=1}{\overset{W}{\mathrm{\Σ}}}{\mathrm{NoiseMask}}_t\left(k\right)};$

Wherein, NoiseMask _t(k) the noise position of k sampled point of t movement training sequence in the expression previous frame, it upgrades in present frame, by being used this NoiseMask in the next frame _t(k) initial value can for 0,1};

DP _t(k) channel estimation value of k sampled point of t transfer training series of expression;

W represents to consider the doubly length of the channel estimation window of speed of channel over-sampling;

T is the set of the movement training sequence of the different window chosen of calculating noise, in system T minimum be 1;

The detection threshold Thr of step 1.2, the discontinuous reception of calculating _DTX:

Thr _DTX＝P _noise*K _DTX；

Wherein, K _DTXBe predefined thresholding, it can obtain by field test and emulation mode.Described step 3 comprises following steps:

Step 3.1, calculate the maximum P of the channel estimation value DP in first estimating window of each physical layer encodes combination of transmitted channel CCTrCH _Max ^First:

$P_{\max }^{\mathrm{First}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_{\mathrm{first}}\left(k\right)\right);$

Wherein, first represents the number of first estimating window of this physical layer encodes combination of transmitted channel;

Step 3.2, first window validity are judged: the maximum P of channel estimation value of first estimating window that judges each physical layer encodes combination of transmitted channel of all targeted customers _Max ^FirstWhether be not less than the thresholding Thr that calculates in the step 1.2 _DTX

If $P_{\max }^{\mathrm{First}}>{\mathrm{Thr}}_{\mathrm{DTX}},$ Think that this moment, there was effective received signal in channel, redirect execution in step 4;

Otherwise thinking does not have received signal arrival effectively in the channel, and promptly system is in discontinuous transmission state, and this moment, the follow-up executable operations of this channel was closed active.

In the described step 4, the detection algorithm to the validity of targeted customer's other estimating windows of each physical layer encodes combination of transmitted channel except that first estimating window comprises following steps:

The maximum value search of the channel estimation value of each estimating window among step 4.1, the targeted customer: the maximum of calculating the channel estimation value DP in first estimating window of current physical layer encodes combination of transmitted channel:

$P_{\max }^{\mathrm{First}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_{\mathrm{first}}\left(k\right)\right);$

Wherein, first represents the number of first estimating window of this physical layer encodes combination of transmitted channel;

The normalization computing of step 4.2, targeted customer's channel estimating:

$p_{\mathrm{Code}}=P_{\max }^{\mathrm{First}}/\sqrt{N_c};$

Wherein, N _cBe normalization factor; P _CodeBe normalized maximum;

Described normalization factor N _cBe the number of the channel code of the pairing activation of each movement training sequence, it is described according to agreement 25.221.AA.2 of 3Gpp and calculates: will meet described agreement regulation, given targeted customer's channel code simultaneously, count in the normalization factor by system assignment;

Step 4.3, calculating P _CodePairing normalized maximum thresholding Th_X _OwnMA:

Th_X _OwnMA＝P _Code*T _{Own_max}；

Wherein, T _{Own_max}Be predefined thresholding, it can obtain by field test and method of emulation;

Step 4.4, calculating targeted customer remain the detection threshold Th of estimating window _Own, promptly calculating the final detection threshold in the current physical layer coded combination transmission channel except first estimating window, it can be at normalized maximum thresholding Th_X _OwnMADetection threshold Thr with discontinuous reception _DTXThe middle the greater of selecting is perhaps selected wherein any one, that is:

Th _own＝max(Th_X _OwnMA，Thr _DTX)；

Perhaps Th _Own=Thr _DTX

Perhaps Th _Own=Th_X _OwnMA

Step 4.5, calculate the maximum that the targeted customer remains the channel estimation value of estimating window, promptly calculate except when in the preceding physical layer encodes combination of transmitted channel maximum P of other estimating windows except first estimating window _t:

$P_t=\underset{k=\{1:W\}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are that targeted customer's current physical layer coded combination transmission channel distributes the possible estimating window of institute except the channel of first estimating window;

Step 4.6, targeted customer remain estimating window validity and detect: the maximum P of the channel estimation value by the residue movement training sequence estimating window in the current physical layer coded combination transmission channel relatively _tWhether more than or equal to the thresholding Th that calculates in the step 4.4 _Own, judge whether the estimating window of this movement training sequence is effective:

If P _t〉=Th _Own, think that then the estimating window of t movement training sequence is effective;

Step 4.7, targeted customer activate estimating window and correct: if certain estimating window of the physical layer encodes combination of transmitted channel that sequence number is big in movement training sequence detects effectively, think that the estimating window littler than this estimating window number is effectively inevitable;

The merging of the DP of step 4.8, targeted customer CCTrCH and normalization: merge the normalized channel estimating of the movement training sequence of Computational Physics layer coded combination transmission channel by the normalized channel estimating of physical layer encodes combination of transmitted channel to all activated movement training sequence estimating window:

$\mathrm{code}{\mathrm{DP}}_i\left(k\right)=\underset{t}{\overset{T}{\mathrm{\Σ}}}\frac{{\mathrm{DP}}_t\left(k\right)}{\sqrt{N_t}};$

Wherein, CodeDP _i(k) be the normalized channel estimation value of transfer training series k point of i physical layer encodes combination of transmitted channel;

N _tIt is the normalized number of channelization codes of t transfer training series;

T is the movement training sequence set of i physical layer encodes combination of transmitted of targeted customer channel;

Step 4.9, the normalization of targeted customer's channel estimating: when the targeted customer takies a plurality of physical layer encodes combination of transmitted channel, normalized channel estimating CodeDP to this users of all physical layer encodes combination of transmitted channels averages, and calculates the channel estimating of normalized merging of the channel estimating of final activation:

${\mathrm{codeDP}}_{\mathrm{own}}\left(k\right)=\frac{\underset{i=1}{\overset{N_{\mathrm{CCTrCH}\_\mathrm{Num}}}{\mathrm{\Σ}}}{\mathrm{codeDP}}_i\left(k\right)}{N_{\mathrm{CCTrCH}\_\mathrm{Num}}}.$

Described step 5 comprises following steps:

Step 5.1, other user's property to be checked detection: whether the number that detects the estimating window of current system support has all distributed to the targeted customer, if then finish; If not, then continue execution in step 5.2;

Step 5.2, calculating targeted customer's normalization maximum, the i.e. maximum of the normalization channel estimating of the targeted customer described in the calculation procedure 4.9:

$P_{\max }^{\mathrm{Own}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{codeDP}}_{\mathrm{own}}\left(k\right)\right);$

Step 5.3, calculate the maximum thresholding of the channel estimation value of other each estimating windows of user:

$\mathrm{Th}\_X_{\mathrm{MA}}=P_{\max }^{\mathrm{Own}}*T_{\max };$

Wherein, T _MaxPeaked thresholding for the channel estimation value of the predefined estimating window that is used to detect other users;

Step 5.4, calculate other users' shift sequence detection threshold, can be at normalized maximum thresholding Th_X _MADetection threshold Thr with discontinuous reception _DTXThe middle the greater of selecting is perhaps selected wherein any one, that is:

Th＝max(Th_X _MA，Thr _DTX)；

Perhaps Th=Th_X _MA

Perhaps Th=Thr _DTX

Step 5.5, calculate the maximum of channel estimation value of other users' estimating window, promptly calculate except when preceding physical layer encodes combination of transmitted channel other the maximum of channel estimation value of movement training sequence estimating window outside distributing:

${P_t}^{\′}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are the possible estimating window of institute of the channel of the estimating window outside all physical layer coded combination transmission channels of targeted customer distribute;

Step 5.6, other users' validity is judged: if P _t' 〉=Th _Own, think that then the estimating window of this movement training sequence is effective.

The method that shift sequence under a kind of default distributing mode provided by the invention detects, the information of the physical layer encodes combination of transmitted channel by utilizing this user fully, detect the information of the activated training sequence of distributing to this user accurately, and the while is according to the information of this user's training sequence, calculate the information of other users' activated training sequence, to detect other users' information accurately, help the realization of the joint detection algorithm of receiving system.

Description of drawings

Fig. 1 is the allocation model of the training sequence in the background technology TDS-CDMA system;

Fig. 2 is the flow chart of the shift sequence detecting method of the present invention under default distributing mode;

Fig. 3 is the calculating average noise power of the present invention under default distributing mode and the flow chart of the step of noise gate;

Fig. 4 detects the flow chart of step for the discontinuous transmission state of the system of the present invention under default distributing mode;

Fig. 5 detects the flow chart of step for the targeted customer of the present invention under default distributing mode residue shift sequence;

Fig. 6 detects the flow chart of step for other users of the present invention under default distributing mode shift sequence.

Embodiment

Below, introduce specific embodiments of the invention in detail, so that further understand content of the present invention by Fig. 2～Fig. 6.

As shown in Figure 2, the invention provides the method that the shift sequence under a kind of default distributing mode in TDS-CDMA system detects, it comprises following steps:

Step 1, calculating average noise power and noise gate in order to calculating average noise power, and produce the detection threshold Thr of discontinuous reception _DTXAs shown in Figure 3, this step 1 also specifically comprises following steps:

Step 1.1, calculating average noise power:

The positional information of the noise that calculates according to previous frame by asking the mean value of the locational noise power of noise, is calculated the average noise power P in this frame _Noise:

$P_{\mathrm{noise}}=\frac{\underset{t}{\overset{T}{\mathrm{\Σ}}}\left(\underset{k=1}{\overset{W}{\mathrm{\Σ}}}({\mathrm{DP}}_t\left(k\right)\×{\mathrm{NoiseMask}}_t\left(k\right))\right)}{\underset{t}{\overset{T}{\mathrm{\Σ}}}\underset{k=1}{\overset{W}{\mathrm{\Σ}}}{\mathrm{NoiseMask}}_t\left(k\right)};$

Wherein, NoiseMask _t(k) the noise position of k sampled point of t movement training sequence in the expression previous frame, it upgrades in present frame, by being used this NoiseMask in the next frame _t(k) initial value can for 0,1};

DP _t(k) channel estimation value of k sampled point of t transfer training series of expression;

W represents to consider the doubly length of the channel estimation window of speed of channel over-sampling;

T is the set of the movement training sequence of the different window chosen of calculating noise, in system T minimum be 1;

The detection threshold Thr of step 1.2, the discontinuous reception of calculating _DTX:

Thr _DTX＝P _noise*K _DTX；

Wherein, K _DTXBe predefined thresholding, it can obtain by field test and emulation mode.

Step 2, carry out the detection of discontinuous transmission (DRX): when system configuration is the state of discontinuous transmission, execution in step 3; When system configuration is not used discontinuous transmission state, direct redirect execution in step 4;

The detection of step 3, the discontinuous transmission state of system: if system is not in discontinuous transmission state, then execution in step 4; If system is in discontinuous transmission state, then finish the subsequent operation of current channel; As shown in Figure 4, this step 3 also specifically comprises following steps:

Step 3.1, calculate the maximum P of the channel estimation value DP in first estimating window of each physical layer encodes combination of transmitted channel CCTrCH _Max ^First:

$P_{\max }^{\mathrm{First}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_{\mathrm{first}}\left(k\right)\right);$

Wherein, first represents the number of first estimating window of this physical layer encodes combination of transmitted channel;

Step 3.2, first window validity are judged: the maximum P of channel estimation value of first estimating window that judges each physical layer encodes combination of transmitted channel of all targeted customers _Max ^FirstWhether be not less than the thresholding Thr that calculates in the step 1.2 _DTX

If $P_{\max }^{\mathrm{First}}>{\mathrm{Thr}}_{\mathrm{DTX}},$ Think that this moment, there was effective received signal in channel, redirect execution in step 4;

Otherwise thinking does not have received signal arrival effectively in the channel, and promptly system is in discontinuous transmission state, and this moment, the follow-up executable operations of this channel was closed active.

In each physical layer encodes combination of transmitted channel of step 4, calculating targeted customer, whether other estimating windows except that first estimating window are effective; As shown in Figure 5, this step 4 also specifically comprises following steps:

The maximum estimated value of each estimating window search among step 4.1, the targeted customer: the maximum of calculating the channel estimation value DP in first estimating window of current physical layer encodes combination of transmitted channel:

$P_{\max }^{\mathrm{First}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_{\mathrm{first}}\left(k\right)\right);$

Wherein, first represents the number of first estimating window of this physical layer encodes combination of transmitted channel;

The normalization computing of step 4.2, targeted customer's channel estimating:

$p_{\mathrm{Code}}=P_{\max }^{\mathrm{First}}/\sqrt{N_c};$

Wherein, N _cBe normalization factor; P _CodeBe normalized maximum;

Described normalization factor N _cBe the number of the channel code of the pairing activation of each movement training sequence, it is described according to agreement 25.221.AA.2 of 3Gpp and calculates: will meet described agreement regulation, given targeted customer's channel code simultaneously, count in the normalization factor by system assignment;

Step 4.3, calculating P _CodePairing normalized maximum thresholding Th_X _OwnMA:

Th_X _OwnMA＝P _Code*T _{Own_max}；

Wherein, T _{Own_max}Be predefined thresholding, it can obtain by field test and method of emulation;

Step 4.4, calculating targeted customer remain the detection threshold Th of estimating window _Own, promptly calculating the final detection threshold in the current physical layer coded combination transmission channel except first estimating window, it can be at normalized maximum thresholding Th_X _OwnMADetection threshold Thr with discontinuous reception _DTXThe middle the greater of selecting is perhaps selected wherein any one, that is:

Th _own＝max(Th_X _OwnMA，Thr _DTX)；

Perhaps Th _Own=Thr _DTX

Perhaps Th _Own=Th_X _OwnMA

Step 4.5, calculate the maximum that the targeted customer remains the channel estimation value of estimating window, promptly calculate except when in the preceding physical layer encodes combination of transmitted channel maximum P of other estimating windows except first estimating window _t:

$P_t=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are that targeted customer's current physical layer coded combination transmission channel distributes the possible estimating window of institute except the channel of first estimating window;

Step 4.6, targeted customer remain estimating window validity and detect: the maximum P of the channel estimation value by the residue movement training sequence estimating window in the current physical layer coded combination transmission channel relatively _tWhether more than or equal to the thresholding Th that calculates in the step 4.4 _Own, judge whether the estimating window of this movement training sequence is effective:

If P _t〉=Th _Own, think that then the estimating window of t movement training sequence is effective;

Step 4.7, targeted customer activate estimating window and correct: if certain estimating window of the physical layer encodes combination of transmitted channel that sequence number is big in movement training sequence detects effectively, think that the estimating window littler than this estimating window number is effectively inevitable;

Step 4.8, targeted customer CCTrCH merge and normalization: merge the normalized channel estimating of the movement training sequence of Computational Physics layer coded combination transmission channel by the normalized channel estimating of physical layer encodes combination of transmitted channel to all activated movement training sequence estimating window:

$\mathrm{code}{\mathrm{DP}}_i\left(k\right)=\underset{t}{\overset{T}{\mathrm{\Σ}}}\frac{{\mathrm{DP}}_t\left(k\right)}{\sqrt{N_t}};$

Wherein, CodeDP _i(k) be the normalized channel estimation value of transfer training series k point of i physical layer encodes combination of transmitted channel;

N _tIt is the normalized number of channelization codes of t transfer training series;

T is the movement training sequence set of i physical layer encodes combination of transmitted of targeted customer channel;

Step 4.9, the normalization of targeted customer's channel estimating: when the targeted customer takies a plurality of physical layer encodes combination of transmitted channel, normalized channel estimating CodeDP to this users of all physical layer encodes combination of transmitted channels averages, and calculates the channel estimating of normalized merging of the channel estimating of final activation:

${\mathrm{codeDP}}_{\mathrm{own}}\left(k\right)=\frac{\underset{i=1}{\overset{N_{\mathrm{CCTrCH}\_\mathrm{Num}}}{\mathrm{\Σ}}}{\mathrm{codeDP}}_i\left(k\right)}{N_{\mathrm{CCTrCH}\_\mathrm{Num}}}.$

Step 5, after the detection of finishing targeted customer's estimating window, other users' estimating window is estimated; As shown in Figure 6, this step 5 also specifically comprises following steps:

Step 5.1, other user's property to be checked detection: whether the number that detects the estimating window of current system support has all distributed to the targeted customer, if then finish; If not, then continue execution in step 5.2;

Step 5.2, calculating targeted customer's normalization maximum, the i.e. maximum of the normalization channel estimating of the targeted customer described in the calculation procedure 4.9:

$P_{\max }^{\mathrm{Own}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{codeDP}}_{\mathrm{own}}\left(k\right)\right);$

Step 5.3, calculate the maximum thresholding of the channel estimation value of other each estimating windows of user:

$\mathrm{Th}\_X_{\mathrm{MA}}=P_{\max }^{\mathrm{Own}}*T_{\max };$

Wherein, T _MaxPeaked thresholding for the channel estimation value of the predefined estimating window that is used to detect other users;

Step 5.4, calculate other users' shift sequence detection threshold, can be at normalized maximum thresholding Th_X _MADetection threshold Thr with discontinuous reception _DTXThe middle the greater of selecting is perhaps selected wherein any one, that is:

Th＝max(Th_X _MA，Thr _DTX)；

Perhaps Th=Th_X _MA

Perhaps Th=Thr _DTX

Step 5.5, calculate the maximum of channel estimation value of other users' estimating window, promptly calculate except when preceding physical layer encodes combination of transmitted channel other the maximum of channel estimation value of movement training sequence estimating window outside distributing:

${P_t}^{\′}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are the possible estimating window of institute of the channel of the estimating window outside all physical layer coded combination transmission channels of targeted customer distribute;

Step 5.6, other users' validity is judged: if P _t' 〉=Th _Own, think that then the estimating window of this movement training sequence is effective.

The method that shift sequence under a kind of default distributing mode provided by the invention detects, the information of the physical layer encodes combination of transmitted channel by utilizing this user fully, detect the information of the activated training sequence of distributing to this user accurately, and the while is according to the information of this user's training sequence, calculate the information of other users' activated training sequence, to detect other users' information accurately, help the realization of the joint detection algorithm of receiving system.

Claims (3)

1. the method that detects of the shift sequence under the default distributing mode is used for TDS-CDMA system; It is characterized in that, may further comprise the steps:

Step 1, calculating average noise power and noise gate in order to calculating average noise power, and produce the detection threshold Thr of discontinuous reception _DTX

Described step 1 specifically comprises following steps:

Step 1.1, calculating average noise power:

The positional information of the noise that calculates according to previous frame by asking the mean value of the locational noise power of noise, is calculated the average noise power P in this frame _Noise:

$P_{\mathrm{noise}}=\frac{\underset{t}{\overset{T}{\mathrm{\Σ}}}\left(\underset{k=1}{\overset{W}{\mathrm{\Σ}}}({\mathrm{DP}}_t\left(k\right)\×{\mathrm{NoiseMask}}_t\left(k\right))\right)}{\underset{t}{\overset{T}{\mathrm{\Σ}}}\underset{k=1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{NoiseMask}}_t\left(k\right)};$

Wherein, k represents k sampled point, NoiseMask _i(k) the noise position of k sampled point of t movement training sequence in the expression previous frame;

DP _t(k) channel estimation value of k sampled point of t transfer training series of expression;

W represents to consider the doubly length of the channel estimation window of speed of channel over-sampling;

T is the set of the movement training sequence of the different window chosen of calculating noise;

The detection threshold Thr of step 1.2, the discontinuous reception of calculating _DTX:

Thr _DTX＝P _noise*K _DTX；

Wherein, K _DTXBe predefined thresholding;

Step 2, carry out the detection of discontinuous transmission: when system configuration is the state of discontinuous transmission, execution in step 3; When system configuration is not used discontinuous transmission state, direct redirect execution in step 4;

The detection of step 3, the discontinuous transmission state of system: if system is not in discontinuous transmission state, then execution in step 4; If system is in discontinuous transmission state, then finish the subsequent operation of current channel;

Described step 3 specifically comprises following steps:

Step 3.1, calculate the maximum P of the channel estimation value DP in first estimating window of each physical layer encodes combination of transmitted channel CCTrCH _Max ^First:

$P_{\max }^{\mathrm{First}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_{\mathrm{first}}\left(k\right)\right);$

Wherein, first represents the number of first estimating window of this physical layer encodes combination of transmitted channel;

Step 3.2, first window validity are judged: the maximum P of channel estimation value of first estimating window that judges each physical layer encodes combination of transmitted channel of all targeted customers _Max ^FirstWhether be not less than the thresholding Thr that calculates in the step 1.2 _DTX

If $P_{\max }^{\mathrm{First}}>{\mathrm{Thr}}_{\mathrm{DTX}}$ , think that there is effective received signal in the channel of this moment, redirect execution in step 4;

Otherwise thinking does not have received signal arrival effectively in the channel, and promptly system is in discontinuous transmission state, and this moment, the follow-up executable operations of this channel was closed active;

In each physical layer encodes combination of transmitted channel of step 4, calculating targeted customer, whether other estimating windows except that first estimating window are effective;

In the described step 4, the detection to the validity of targeted customer's other estimating windows of each physical layer encodes combination of transmitted channel except that first estimating window specifically comprises following steps:

The maximum value search of the channel estimation value of each estimating window among step 4.1, the targeted customer: the maximum of calculating the channel estimation value DP in first estimating window of current physical layer encodes combination of transmitted channel:

$P_{\max }^{\mathrm{First}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_{\mathrm{first}}\left(k\right)\right);$

Wherein, first represents the number of first estimating window of this physical layer encodes combination of transmitted channel;

The normalization computing of step 4.2, targeted customer's channel estimating:

$P_{\mathrm{Code}}=P_{\max }^{\mathrm{First}}/\sqrt{N_c};$

Wherein, N _cBe normalization factor; P _CodeBe normalized maximum;

Step 4.3, calculating P _CodePairing normalized maximum thresholding Th_X _OwnMA:

Th_X _OwnMA＝P _Code*T _{Own_max}；

Wherein, T _{Own_max}Be predefined thresholding;

Step 4.4, calculating targeted customer remain the detection threshold Th of estimating window _Own, promptly calculate the final detection threshold in the current physical layer coded combination transmission channel except first estimating window;

Step 4.5, calculate the maximum that the targeted customer remains the channel estimation value of estimating window, promptly calculate except when in the preceding physical layer encodes combination of transmitted channel maximum P of other estimating windows except first estimating window _t:

$P_t=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are that targeted customer's current physical layer coded combination transmission channel distributes the possible estimating window of institute except the channel of first estimating window;

Step 4.6, targeted customer remain estimating window validity and detect: whether the maximum Pt of the channel estimation value by the residue movement training sequence estimating window in the current physical layer coded combination transmission channel relatively is more than or equal to the thresholding Th that calculates in the step 4.4 _Own, judge whether the estimating window of this movement training sequence is effective:

If P _t〉=Th _Own, think that then the estimating window of t movement training sequence is effective;

Step 4.7, targeted customer activate estimating window and correct: if certain estimating window of the physical layer encodes combination of transmitted channel that sequence number is big in movement training sequence detects effectively, think that the estimating window littler than this estimating window number is effectively inevitable;

Step 4.8, targeted customer CCTrCH merge and normalization: merge the normalized channel estimating of the movement training sequence of Computational Physics layer coded combination transmission channel by the normalized channel estimating of physical layer encodes combination of transmitted channel to all activated movement training sequence estimating window:

${\mathrm{codeDP}}_i\left(k\right)=\underset{t}{\overset{T}{\mathrm{\Σ}}}\frac{{\mathrm{DP}}_t\left(k\right)}{\sqrt{N_t}};$

Wherein, CodeDP _i(k) be the normalized channel estimation value of transfer training series k point of i physical layer encodes combination of transmitted channel;

N _tIt is the normalized number of channelization codes of t transfer training series;

T is the movement training sequence set of i physical layer encodes combination of transmitted of targeted customer channel;

Step 4.9, the normalization of targeted customer's channel estimating: when the targeted customer takies a plurality of physical layer encodes combination of transmitted channel, normalized channel estimating CodeDP to this users of all physical layer encodes combination of transmitted channels averages, and calculates the channel estimating of normalized merging of the channel estimating of final activation:

$\mathrm{code}{\mathrm{DP}}_{\mathrm{own}}\left(k\right)=\frac{\underset{i=1}{\overset{N_{\mathrm{CCTrCH}\_\mathrm{Num}}}{\mathrm{\Σ}}}{\mathrm{codeDP}}_i\left(k\right)}{N_{\mathrm{CCTrCH}\_\mathrm{Num}}};$

Wherein, N _{CCTrCH_Num}Number for the CCTrCH that the targeted customer distributed and activated;

Step 5, after the detection of finishing targeted customer's estimating window, other users' estimating window is estimated;

Described step 5 specifically comprises following steps:

Step 5.1, other user's property to be checked detection: whether the number that detects the estimating window of current system support has all distributed to the targeted customer, if then finish; If not, then continue execution in step 5.2:

Step 5.2, calculating targeted customer's normalization maximum, the i.e. maximum of the normalization channel estimating of the targeted customer described in the calculation procedure 4.9:

$P_{\max }^{\mathrm{Own}}=\underset{k=\{1~W\}}{\max }\left({\mathrm{codeDP}}_{\mathrm{own}}\left(k\right)\right);$

Step 5.3, calculate the maximum thresholding of the channel estimation value of other each estimating windows of user:

$\mathrm{Th}\_X_{\mathrm{MA}}=P_{\max }^{\mathrm{Own}}*T_{\max };$

Wherein, T _MaxPeaked thresholding for the channel estimation value of the predefined estimating window that is used to detect other users;

Step 5.4, calculate other users' shift sequence detection threshold Th;

Step 5.5, calculate the maximum of channel estimation value of other users' estimating window, promptly calculate except when preceding physical layer encodes combination of transmitted channel other the maximum of channel estimation value of movement training sequence estimating window outside distributing:

${P_t}^{\′}=\underset{k=\{1~W\}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are the possible estimating window of institute of the channel of the estimating window outside all physical layer coded combination transmission channels of targeted customer distribute;

Step 5.6, other users' validity is judged: if P _t' 〉=Th _Own, think that then the estimating window of this movement training sequence is effective.

2. the method that the shift sequence under the default distributing mode as claimed in claim 1 detects is characterized in that in the step 4.4, described targeted customer remains the detection threshold Th of estimating window _OwnCan be at normalized maximum thresholding Th_X _OwnMADetection threshold Thr with discontinuous reception _DTXMiddle the greater, that is: the Th of selecting _Own=max (Th_X _OwnMA, Thr _DTX).

3. the method that the shift sequence under the default distributing mode as claimed in claim 1 detects is characterized in that in the step 5.4, described other users' shift sequence detection threshold Th can be at normalized maximum thresholding Th_X _MADetection threshold Thr with discontinuous reception _DTXMiddle the greater, that is: the Th=max (Th_X of selecting _MA, Thr _DTX).

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