CN1937463A - Shift sequence detecting method for CDMA system - Google Patents

Abstract

The method includes steps: obtaining the position of related noise from the position of the available path, calculating average noise, producing noise judgment threshold and testing the discontinue transfer. When the system configuration is in the state of discontinue transfer, the method tests this state. When the system configuration is not in the state of discontinue transfer, it calculates the availability of all estimate windows except the 1sf one in all physical coding combination transfer channel (PCCTC) of the aim user. It utilizes the info of the accurate path relative delay and the info of PCCTC of the aim user to test accurately the info of active training sequence distributed to the aim user. Then according to the info of training sequence of the aim user, it calculates the info of active training sequence of other users to test the info of other users. This is valuable to realize combination test algorithm.

Description

Shift sequence detecting method in the code division multiple access system

Technical field

The present invention relates to wireless communication technology field, specifically, relate to the method that detects shift sequence in the TDS-CDMA system.

Background technology

In the TDS-CDMA system receiving system, shift sequence has different detection methods in the whole system.As shown in Figure 1, the method of salary distribution of shift sequence is according to the setting of network layer, the training sequence method of salary distribution of system has three kinds, 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 is different, as can broadcasting corresponding channel code in the default distributing mode system, and the channel code of Serving cell and displacement series exist relation one to one; User's channel code and shift sequence given in high-rise meeting assignment under user's specific mode.System under the different shift sequence methods of salary distribution, the difference of getable Given information, therefore follow-up shift sequence detection algorithm also will change.

Accurately acquisition transfer training information has significant impact to the demodulation performance of whole system.System distributes to one or more movement training sequence of user according to service needed, corresponding to these professional transmission requirements, the base station can send configuration information, the terminal use according to these configuration informations can be definite the information that calculates the employed movement training sequence of related service, but transmit in these configuration informations first radio frames in a transmission intercal, before obtaining this configuration information, can't obtain definite movement training sequence information, 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, and these information are essential in follow-up demodulating process.From effective shift sequence, can enter estimation simultaneously, therefore the situation of the detection of movement training sequence directly exerts an influence to follow-up demodulation, when the effective movement training sequence of omission, can directly cause loss of data, to such an extent as to follow-up decoder module performance severe exacerbation, the while also makes the mis-behave of joint-detection module, and is 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.Particularly when the targeted customer is assigned with a plurality of physical coded combination transfers information, the movement training sequence of how judging the targeted customer accurately and being distributed, extremely important for whole receiving system, its performance will produce great influence to receiving the demodulating system performance.

Because conventional shift sequence detecting method is the usage threshold determination methods only, therefore can't carry out the detection of movement training sequence exactly.When the performance number of some shift sequences satisfies certain thresholding, think that promptly it is effective, when a plurality of shift sequences activate, because other shift sequence detects, the interference between shift sequence will cause the detection failure of certain shift sequence.

Hence one can see that, uses conventional detection algorithm can not make the targeted customer obtain the information in relative time delay of relevant known paths, thereby the movement training sequence information of detection system accurately.

Summary of the invention

The object of the present invention is to provide shift sequence detecting method in a kind of TDS-CDMA system, can be according to the information of relative time delay of active path and targeted customer's training sequence, calculate the information of targeted customer and 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 present invention can be by realizing with the technical scheme of sowing:

Shift sequence detecting method according in a kind of TDS-CDMA system provided by the invention may further comprise the steps:

A. follow position, obtain the position of corresponding noise according to active path, then according to the noise position to calculating average noise, and produce noise and judge thresholding;

B. carry out the detection of discontinuous transmission, when system configuration is the state of discontinuous transmission, carry out the detection of discontinuous transmission state; When system configuration is not used discontinuous transmission state, direct execution in step C;

Be not in discontinuous transmission state as if system, then execution in step C;

If system is in discontinuous transmission state, then finish the subsequent operation of current channel;

C. calculate in each physical coded combination transfers information of targeted customer, whether other estimating windows except that first estimating window are effective.

Ground preferably, this method further comprises:

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

Described steps A specifically comprises following steps:

A1. calculating average noise power:

Routing information Φ according to position, effective road determines the noise path position, calculates the positional information of noise path

, simultaneously according to obtaining channel estimating DP, the mean value of the locational noise power of calculating noise, and the average noise 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, (k) the noise position of k sampled point of t movement training sequence being obtained by routing information of expression is by the position of the noise that Ф generated;

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

Ф is the position of active path;

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;

A2. calculate the detection threshold Thr of discontinuous reception _DTX:

Thr _DTX＝P _noise ^*K _DTX；

Wherein, K _DTXBe predefined thresholding.

Preferablyly, during the mean value of the locational noise power of calculating noise, the partial noise position is averaged.

Preferably, the minimum value of described T is 1.

Described K _DTXCan obtain or according to the dynamic change of field condition self adaptation by field test or emulation mode.

The described detection of carrying out discontinuous transmission state specifically comprises:

Calculate channel estimation value DP in first estimating window of each physical coded combination transfers information (CCTrCH) at the locational maximum P of active path _Max ^First:

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

Wherein, first represents the number of first estimating window of this physical coded combination transfers information;

This method also comprises the step that first window validity is judged:

Judge the maximum P of first estimating window of each physical coded combination transfers information of all targeted customers _Max ^FirstWhether be not less than described thresholding Thr _DTX

If p _Max ^First＞Thr _DTX, when there is effective received signal in channel, execution in step C;

When system is in discontinuous transmission state, close follow-up executable operations.

Preferably, the detection of the validity of described other estimating windows to the targeted customer realizes by following steps:

C1. the maximum estimated value of each estimating window search among the targeted customer: the maximum of calculating the channel estimation value DP in first estimating window of current physical coded combination transfers information:

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

Wherein, fist represents the number of first estimating window of this physical coded combination transfers information;

C2. the normalization computing of targeted customer's channel estimating:

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

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

C3. calculate PC _OdePairing normalized maximum thresholding Th_X _OwnMA:

Th_X _OwnMA＝P _Code ^*TO _{wn_max}；

Wherein, T _{Own_max}Be the thresholding of setting;

C4. calculate the detection threshold Th that the targeted customer remains estimating window _Own, promptly calculate the final detection threshold in the present encoding combination of transmitted channel except first estimating window;

C5. calculate the maximum that the targeted customer remains estimating window, promptly calculate except when in the preceding coded combination transmission channel, the maximum P of the path position of being demarcated by routing information Φ of other estimating windows except first estimating window _t:

$P_t=\underset{k\∈\mathrm{\Φ}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are that targeted customer's present encoding combination of transmitted channel allocation is except the possible estimating window of the institute of the channel of first estimating window;

C6. the targeted customer remains the detection of estimating window validity: by comparing the maximum P of the residue movement training sequence estimating window in the present encoding combination of transmitted channel _tWhether greater than described thresholding Th _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;

C7. the targeted customer activates estimating window and corrects: if certain estimating window of the big coded combination transmission channel of sequence number detects effectively, think that then sequence number is effective less than the estimating window of this estimating window number;

C8. merge by the normalized channel estimating of certain coded combination transmission channel, calculate the normalized channel estimating of certain movement training sequence of certain coded combination transmission channel 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) _tIt is the normalized channel estimation value of transfer training series k point of i coded combination transmission channel;

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

T is the movement training sequence set of i coded combination transmission channel of targeted customer;

C9. targeted customer's channel estimating normalization: when the targeted customer takies a plurality of coded combination transmission channel, normalized channel estimating CodeDP to the targeted customer of all coded combination transmission channels averages, and calculates the channel estimating of normalized merging of the channel estimating of final activation:

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

Described normalization factor N _cBe the number of the channel code of the pairing activation of each movement training sequence, will meet described agreement regulation, and distributed to targeted customer's channel code, count in the normalization factor.

Described T _{Own_max}Can obtain or according to the dynamic change of field condition self adaptation by field test or emulation mode;

Described targeted customer remains the detection threshold Th of estimating window _OwnBe normalized maximum thresholding Th_X _OwnMAOr the thresholding Thr of discontinuous reception _DTX

Ground preferably, described estimating window to other users is estimated to realize through the following steps:

Detect the number of the estimating window of current system support and whether all distributed to the targeted customer, if then finish; Otherwise continue to carry out following steps:

Calculate targeted customer's normalization maximum,

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

Calculate the maximum thresholding of other each estimating windows of user:

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

Wherein, T _MaxBe the predefined peaked thresholding of estimating window that is used to detect other users;

Determine other users' shift sequence detection threshold, and at normalized maximum thresholding Th_X _MAThresholding 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

Calculate the maximum of other users' movement training sequence estimating window

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

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

For other users: if P _t〉=Th _Own, then the estimating window of this movement training sequence is effective.

Preferably, described other users' shift sequence detection threshold Th is normalized maximum thresholding Th_X _MAOr the thresholding Thr of discontinuous reception _DTX

In sum, the present invention is by utilizing the information in relative time delay of path accurately, the detection of auxiliary relevant shift sequence, utilize simultaneously the information of targeted customer's physical coded combination transfers information fully, detect the information of the activated training sequence of distributing to the targeted customer accurately, and the while is according to the information of targeted customer'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 and the corresponding detection method thereof of the training sequence in the TDS-CDMA system;

Fig. 2 is the flow chart of shift sequence detecting method according to an embodiment of the invention;

Fig. 3 is the flow chart of the step of calculating average noise power and noise gate according to an embodiment of the invention;

Fig. 4 is the flow chart that detects step according to embodiments of the invention at the discontinuous transmission state of the system under the default distributing mode;

Fig. 5 is the flow chart that detects step according to targeted customer's shift sequence of embodiments of the invention under default distributing mode;

Fig. 6 is the flow chart that detects step according to other users of embodiments of the invention under default distributing mode shift sequence.

Embodiment

Below in conjunction with accompanying drawing, introduce specific embodiments of the invention in detail, so that further understand the present invention.

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 produce noise judgement thresholding; As shown in Figure 3, this step 1 also specifically comprises following steps:

Step 1.1, calculating average noise power:

Routing information Φ according to position, effective road determines the noise path position, calculates the positional information of noise path

According to obtaining channel estimating DP, calculate the average noise P in this frame simultaneously _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 being obtained by routing information of expression is by the position of the noise that Φ generated;

Φ is the position of active path;

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

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

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 discontinuous transmission state, execution in step 3; Otherwise, direct 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, maximum value search: the maximum P that calculates the channel estimation value DP in first estimating window of each physical coded combination transfers information (CCTrCH) _Max ^First:

$P_{\max }^{\mathrm{First}}=\underset{k\∈\mathrm{\Φ}}{\max }\left(D{P}_{\mathrm{first}}\left(k\right)\right);$

Wherein, first represents the number of first estimating window of this physical coded combination transfers information; Wherein, k ∈ Φ means that maximum value search will effectively search among the set of paths Φ.

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

If P _Max ^First＞Thr _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 coded combination transfers information 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 channel estimation value DP in first estimating window of current physical coded combination transfers information by the station location marker of effective many warps:

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

Wherein, first represents the number of first estimating window of this physical coded combination transfers information;

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, and also self adaptation is dynamically adjusted at the scene;

Step 4.4, calculating targeted customer remain the detection threshold Th of estimating window _Own, promptly calculating the final detection threshold in the present encoding combination of transmitted channel except first estimating window, it can be at normalized maximum thresholding Th_X _OwnMAThresholding 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 estimating window, promptly calculate except when in the preceding coded combination transmission channel, the maximum P of the path position of being demarcated by routing information Φ of other estimating windows except first estimating window _t:

$P_t=\underset{k\∈\mathrm{\Φ}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are that targeted customer's present encoding combination of transmitted channel allocation is except the possible estimating window of the institute of the channel of first estimating window;

Step 4.6, targeted customer remain estimating window validity and detect: by comparing the maximum P of the residue movement training sequence estimating window in the present encoding combination of transmitted channel _tWhether greater than the thresholding Th that calculates in the step 3.4 _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 big coded combination transmission channel of middle sequence number 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 by the normalized channel estimating of certain coded combination transmission channel to all activated movement training sequence estimating window, calculate the normalized channel estimating of certain movement training sequence of certain coded combination transmission channel:

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

Wherein, CodeDP _i(k) _tIt is the normalized channel estimation value of transfer training series k point of i coded combination transmission channel;

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

T is the movement training sequence set of i coded combination transmission channel of targeted customer;

Step 4.9, the normalization of targeted customer's channel estimating: when the targeted customer takies a plurality of coded combination transmission channel, normalized channel estimating CodeDP to the targeted customer of all coded combination transmission channels averages, and calculates the channel estimating of normalized merging of the channel estimating of final activation:

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

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

As shown in Figure 6, this 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, calculate targeted customer's normalization maximum, promptly the normalization channel estimating of the targeted customer described in the calculation procedure 4.9 is in the maximum of the active path of sign:

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

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

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

Wherein, T _MaxBe the predefined peaked thresholding of 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 _MAThresholding 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 other users' estimating window, promptly calculate except when preceding coded combination transmission channel outside distributing other the movement training sequence estimating window in maximum that active path identified:

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

Wherein, t_OwnCCTrCH, described OwnCCTrCH are the possible estimating window of institute of the channel of the estimating window outside all 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.

When the movement training sequence mode was public distributing mode (COMMON), method was as follows:

A follows the position according to active path, obtains the position of corresponding noise, then in view of the above to calculating average noise power and noise gate, in order to calculating average noise, and produces noise judgement thresholding;

B. carry out the detection of discontinuous transmission: when system configuration is the state of discontinuous transmission, carry out the detection of discontinuous transmission state, judge whether system is in the state of discontinuous transmission;

Wherein all the mode with default is consistent step by step for each of steps A.

Step B specifically comprises:

B1. calculate channel estimation value DP in each estimating window of each physical coded combination transfers information (CCTrCH) at the locational maximum P of active path _Max ^First:

$P_{\max }^U=\underset{U}{\max }\left(\underset{k\∈\mathrm{\Φ}}{\max }\left({\mathrm{DP}}_U\left(k\right)\right)\right);$ In the formula, U is the sequence number of each estimating window;

B2. first window validity is judged: the maximum P of first estimating window that judges each physical coded combination transfers information of all targeted customers _Max ^UWhether be not less than described thresholding Thr _DTX

If $P_{\max }^U>{\mathrm{Thr}}_{\mathrm{DTX}}$ , mean to have effective movement training sequence in this time slot, if $P_{\max }^U\≤{\mathrm{Thr}}_{\mathrm{DTX}}$ , then mean not have movement training sequence.

When the movement training sequence of system is assigned distributing mode by user (UESPECFIC), compare its conversion with default mode and be no longer to carry out the D step, only carry out corresponding step A, step B, step C that is to say this step of detection that will no longer carry out other user's movement training sequence.

The embodiment of the shift sequence detecting method in the TD-SCDMA described above system under three kinds of methods of salary distribution is used for exemplarily illustrating principle of the present invention and characteristic; and be not used in qualification the present invention, the modification that those of ordinary skill in the art is done and be equal to replacement and all fall into protection scope of the present invention under the prerequisite that does not break away from the spirit and scope of the invention.

Claims (12)

1. the shift sequence detecting method in the TDS-CDMA system is characterized in that, may further comprise the steps:

A. according to the position of active path, obtain the position of corresponding noise, then according to the noise position to calculating average noise, and produce noise and judge thresholding;

B. carry out the detection of discontinuous transmission, when system configuration is the state of discontinuous transmission, carry out the detection of discontinuous transmission state; When system configuration is not used discontinuous transmission state, direct execution in step C;

Be not in discontinuous transmission state as if system, then execution in step C;

If system is in discontinuous transmission state, then finish the subsequent operation of current channel;

C. calculate in each physical coded combination transfers information of targeted customer, whether other estimating windows except that first estimating window are effective.

2. shift sequence detecting method as claimed in claim 1 is characterized in that, further comprises:

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

3. the method that shift sequence as claimed in claim 1 detects is characterized in that described steps A specifically comprises following steps:

A1. calculating average noise power:

Routing information Φ according to position, effective road determines the noise path position, calculates the positional information of noise path

, simultaneously according to obtaining channel estimating DP, the mean value of the locational noise power of calculating noise, and the average noise P in this frame _Noise:

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

Wherein, NoiseMask _t(k) the noise position of k sampled point of t movement training sequence being obtained by routing information of expression is by the position of the noise that Φ generated;

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

Φ is the position of active path;

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;

A2. calculate the detection threshold Thr of discontinuous reception _DTX:

Thr _DTX＝P _nosise*K _DTX；

Wherein, K _DTXBe predefined thresholding.

4. shift sequence detecting method as claimed in claim 3 is characterized in that, during the mean value of the locational noise power of calculating noise, the partial noise position is averaged.

5. shift sequence detecting method as claimed in claim 3 is characterized in that, described K _DTXCan obtain or according to the dynamic change of field condition self adaptation by field test or emulation mode.

6. shift sequence detecting method as claimed in claim 1 is characterized in that, the described detection of carrying out discontinuous transmission state specifically comprises:

Calculate channel estimation value DP in first estimating window of each physical coded combination transfers information (CCTrCH) at the locational maximum P of active path _Max ^First:

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

Wherein, first represents the number of first estimating window of this physical coded combination transfers information.

7, shift sequence detecting method as claimed in claim 6 is characterized in that, further comprises the step that first window validity is judged:

Judge the maximum P of first estimating window of each physical coded combination transfers information of all targeted customers _Max ^FirstWhether be not less than described thresholding Thr _DTX

If $P_{\max }^{\mathrm{First}}>{\mathrm{Thr}}_{\mathrm{DTX}}$ , when there is effective received signal in channel, execution in step C;

When system is in discontinuous transmission state, close follow-up executable operations.

8, the method that detects of shift sequence as claimed in claim 1 is characterized in that, the detection of the validity of described other estimating windows to the targeted customer realizes by following steps:

C1. the maximum estimated value of each estimating window search among the targeted customer: the maximum of calculating the channel estimation value DP in first estimating window of current physical coded combination transfers information:

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

Wherein, first represents the number of first estimating window of this physical coded combination transfers information;

C2. the normalization computing of targeted customer's channel estimating:

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

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

C3. calculate P _CodePairing normalized maximum thresholding Th_X _OwnMA:

Th_X _OwnMA＝P _Code*T _{own_max}；

Wherein, T _{Own_max}Be the thresholding of setting;

C4. calculate the detection threshold Th that the targeted customer remains estimating window _Own, promptly calculate the final detection threshold in the present encoding combination of transmitted channel except first estimating window;

C5. calculate the maximum that the targeted customer remains estimating window, promptly calculate except when in the preceding coded combination transmission channel, the maximum P of the path position of being demarcated by routing information Φ of other estimating windows except first estimating window _t:

$P_t=\underset{k\∈\mathrm{\Φ}}{\max }\left({\mathrm{DP}}_t\left(k\right)\right);$

Wherein, t ∈ OwnCCTrCH, described OwnCCTrCH are that targeted customer's present encoding combination of transmitted channel allocation is except the possible estimating window of the institute of the channel of first estimating window;

C6. the targeted customer remains the detection of estimating window validity: by comparing the maximum P of the residue movement training sequence estimating window in the present encoding combination of transmitted channel _tWhether greater than described thresholding Th _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;

C7. the targeted customer activates estimating window and corrects: if certain estimating window of the big coded combination transmission channel of sequence number detects effectively, think that then sequence number is effective less than the estimating window of this estimating window number;

C8. merge by the normalized channel estimating of certain coded combination transmission channel, calculate the normalized channel estimating of certain movement training sequence of certain coded combination transmission channel 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) _tIt is the normalized channel estimation value of transfer training series k point of i coded combination transmission channel;

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

T is the movement training sequence set of i coded combination transmission channel of targeted customer;

C9. targeted customer's channel estimating normalization: when the targeted customer takies a plurality of coded combination transmission channel, normalized channel estimating CodeDP to the targeted customer of all coded combination transmission channels averages, and calculates the channel estimating of normalized merging of the channel estimating of final activation:

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

9. the method that shift sequence as claimed in claim 8 detects is characterized in that described normalization factor N _cBe the number of the channel code of the pairing activation of each movement training sequence, will meet described agreement regulation, and distributed to targeted customer's channel code, count in the normalization factor.

10. the method that shift sequence as claimed in claim 8 detects is characterized in that described targeted customer remains the detection threshold Th of estimating window _OwnBe normalized maximum thresholding Th_X _OwnMAOr the thresholding Thr of discontinuous reception _DTX

11. the method that shift sequence as claimed in claim 2 detects is characterized in that described estimating window to other users is estimated to realize through the following steps:

Detect the number of the estimating window of current system support and whether all distributed to the targeted customer, if then finish; Otherwise continue to carry out following steps:

Calculate targeted customer's normalization maximum,

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

Calculate the maximum thresholding of other each estimating windows of user:

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

Wherein, T _MaxBe the predefined peaked thresholding of estimating window that is used to detect other users;

Determine other users' shift sequence detection threshold, and at normalized maximum thresholding Th_X _MAThresholding with discontinuous reception ^ThrDTXThe 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

Calculate the maximum of other users' movement training sequence estimating window

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

Wherein,

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

For other users: if P _t〉=Th _Own, then the estimating window of this movement training sequence is effective.

12. the method that shift sequence as claimed in claim 11 detects is characterized in that described other users' shift sequence detection threshold Th is normalized maximum thresholding Th_X _MAOr the thresholding Thr of discontinuous reception _DTX

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