CN102387582B - Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system - Google Patents

Abstract

The invention discloses a detection method and device for cell group numbers of secondary synchronization sequences of an LTE (long term evolution) system. The method comprises the following steps of: receiving one group of first correlated sequences and eight groups of second correlated sequences; acquiring corresponding thresholds of the correlated sequences; respectively carrying out peak value processing on the first correlated sequences and second correlated sequences according to the thresholds, setting the values, smaller than the thresholds, of the correlated sequences to be zero, and reserving the values, not smaller than the thresholds, of correlated sequences; when the processed first correlated sequences and second correlated sequences have non-zero values, respectively seeking the maximum correlated values in the first correlated sequences and second correlated sequences and the corresponding index values; and calculating according to the index values to obtain the cell group numbers. The detection method and device disclosed by the invention have the advantages that: a process for peak value processing by utilizing the thresholds is added to the traditional detection method, thus the correlated value detected when the frequency point is wrong is filtered out, the condition of error detection when N<ID><(1)> corresponding to the correlated value obtained by detecting the wrong frequency point is used as the detection result is avoided, the error detection rate is reduced and the detection accuracy is improved.

Description

A kind of LTE system secondary synchronization sequences cell set numbering detection method and device

Technical field

The present invention relates to LTE communication technical field, relate in particular to a kind of LTE system secondary synchronization sequences cell set numbering detection method and device.

Background technology

Secondary synchronization sequences SSC in LTE (Long Term Evolution, Long Term Evolution) system is defined as:

$d\left(2n\right)=\left\{\begin{array}{cc}{s}_0^{\left(m_0\right)}\left(n\right)c_0\left(n\right)& \mathrm{in\; subframe}0\\ s_1^{\left(m_1\right)}\left(n\right)c_0\left(n\right)& \mathrm{in\; subframe}5\end{array}\right.$

$d(2n+1)=\left\{\begin{array}{cc}{s}_1^{\left(m_1\right)}\left(n\right)c_1\left(n\right)z_1^{\left(m_0\right)}\left(n\right)& \mathrm{in\; subframe}0\\ s_0^{\left(m_0\right)}\left(n\right)c_1\left(n\right)z_1^{\left(m_1\right)}\left(n\right)& \mathrm{in\; subframe}5\end{array}\right.---\left(1\right)$

Wherein, 0≤n≤30, the index value m of m sequence ₀and m ₁by cell ID group number generate:

m ₀＝m′mod?31

$m^{\&prime;}=N_{\mathrm{ID}}^{\left(1\right)}+q(q+1)/2,$

According to above-mentioned formula, first calculate intermediate variable q, then sequence with corresponding to m sequence two different cyclic shifts:

$s_0^{\left(m_0\right)}\left(n\right)=\tilde{s}\left((n+m_0)\mathrm{mod}31\right)$

$s_1^{\left(m_1\right)}\left(n\right)=\tilde{s}\left((n+m_1)\mathrm{mod}31\right)---\left(3\right)$

Wherein 0≤i≤30 are defined as follows:

$x(\stackrel{\&OverBar;}{i}+5)=(x(\stackrel{\&OverBar;}{i}+2)+x\left(\stackrel{\&OverBar;}{i}\right))\mathrm{mod}2,$ $0\&le;\stackrel{\&OverBar;}{i}\&le;25---\left(4\right)$

Initial condition is x (0)=0, x (1)=0, x (2)=0, x (3)=0, x (4)=1.

C ₀and c (n) ₁(n) being two scramble sequence, is m sequence different cyclic shifts, shift value depends on P-SCH, also depends on numbering in the cell ID group of synchronous signal sequence

$c_0\left(n\right)=\tilde{c}\left((n+N_{\mathrm{ID}}^{\left(2\right)})\mathrm{mod}31\right)$

$c_1\left(n\right)=\tilde{c}\left((n+N_{\mathrm{ID}}^{\left(2\right)}+3)\mathrm{mod}31\right)---\left(5\right)$

Wherein 0≤i≤30 are defined as follows:

$x(\stackrel{\&OverBar;}{i}+5)=(x(\stackrel{\&OverBar;}{i}+3)+x\left(\stackrel{\&OverBar;}{i}\right))\mathrm{mod}2,$ $0\&le;\stackrel{\&OverBar;}{i}\&le;25$

Initial condition is x (0)=0, x (1)=0, x (2)=0, x (3)=0, x (4)=1.

with also be scrambler sequence, by m sequence cyclic shift generates:

$z_1^{\left(m_0\right)}\left(n\right)=\tilde{z}\left((n+\left(m_0\mathrm{mod}8\right))\mathrm{mod}31\right)$

$z_1^{\left(m_1\right)}\left(n\right)=\tilde{z}\left((n+\left(m_1\mathrm{mod}8\right))\mathrm{mod}31\right)---\left(6\right)$

Wherein 0≤i≤30 are defined as follows:

$x(\stackrel{\&OverBar;}{i}+5)=(x(\stackrel{\&OverBar;}{i}+4)+x(\stackrel{\&OverBar;}{i}+2)+x(\stackrel{\&OverBar;}{i}+1)+x\left(\stackrel{\&OverBar;}{i}\right))\mathrm{mod}2,$ $0\&le;\stackrel{\&OverBar;}{i}\&le;25---\left(7\right)$

Initial condition is x (0)=0, x (1)=0, x (2)=0, x (3)=0, x (4)=1.

As can be seen here, in the generative process of secondary synchronization sequences, cell ID group number it is a very important parameter.

Theoretically, in cell search process, if frequency point scanning algorithm output or high-rise subdistrict frequency point of transferring be not real center of housing estate frequency, but when wrong frequency, the result of auxiliary synchronous detection should be and detects unsuccessfully, does not exist cell set to number existing cell set numbering detection method, no matter be in time domain or in frequency domain, all adopt the good correlation of utilizing m sequence, determine cell set numbering by the position of the correlation peak that detects mode.But because it adopts the peaked mode of searching correlation, the synchronizing signal correctness no matter receiving, all can find out peak-peak, then provides testing result, obviously, obtain according to this maximum obviously be wrong, so, this according to searching correlation peak, corresponding according to its maximum position method as testing result can cause higher false detection rate, and accuracy in detection is also lower.

Summary of the invention

In view of this, the invention provides a kind of LTE system secondary synchronization sequences cell set numbering detection method and device, to solve the high problem of detection method false detection rate in prior art, its concrete scheme is as follows:

A kind of Long Term Evolution LTE system secondary synchronization sequences cell set numbering detection method, comprising:

Receive one group of first correlated series and eight group of second correlated series;

Obtain the threshold value that described correlated series is corresponding;

Respectively described the first correlated series and the second correlated series are carried out to peak value processing according to described threshold value, will be less than the correlated series value zero setting of described threshold value, retain the correlated series value that is not less than described threshold value;

In the time all thering is nonzero value in described the first correlated series after treatment and the second correlated series, search respectively the maximum related value in described the first correlated series and the second correlated series, and corresponding index value;

Calculate cell set numbering according to described index value.

Preferably, the described process of obtaining threshold value according to described correlated series comprises:

Calculate the mean value of the correlation in described the first correlated series, and carry out N and doubly process, obtain the threshold value of the first correlated series, described N is constant;

Calculate respectively the mean value of the correlation in described eight group of second correlated series, and carry out N and doubly process, obtain the threshold value of eight group of second correlated series.

The process of preferably, respectively described the first correlated series and the second correlated series being carried out to peak value processing according to described threshold value comprises:

Respectively the correlation threshold value corresponding with it of each group correlated series compared, will be less than the correlated series value zero setting of described threshold value, retain the correlated series value that is greater than described threshold value.

Preferably, described maximum related value of searching respectively in the first correlated series and the second correlated series, and the process of corresponding index value comprises:

According to the principle of mould eight congruences, the index value of described the first correlated series is divided into eight groups, and corresponding correlated series value is divided into eight groups;

Find out maximal metric value and corresponding index value thereof in every group;

From eight group of second correlated series, select maximal metric value and the corresponding index value thereof of every group;

By the maximal metric value in described the first correlated series and the corresponding addition of maximal metric value in the second correlated series;

Search the maximal metric value after addition, and corresponding index value pair.

Preferably, the mean value of the correlation in described calculating correlated series comprises: the arithmetic mean that calculates correlation in described correlated series.

Preferably, described maximum related value of searching respectively in the first correlated series and the second correlated series, and the process of corresponding index value comprises:

Search the maximum related value in described the first correlated series, and find its corresponding index value;

Search respectively eight maximums corresponding to eight group of second correlated series, and find its corresponding index value;

From described eight maximums, find out maximum, and corresponding index value.

A kind of Long Term Evolution LTE system secondary synchronization sequences cell set numbering checkout gear, comprising:

Correlated series receiving element, for receiving one group of first correlated series and eight group of second correlated series;

Threshold value acquiring unit, for obtaining the threshold value that described correlated series is corresponding;

Peak value processing unit, for respectively described the first correlated series and the second correlated series being carried out to peak value processing according to described threshold value, will be less than the correlated series value zero setting of described threshold value, retains the correlated series value that is not less than described threshold value;

Maximum related value is searched unit, in the time all having nonzero value in described the first correlated series after treatment and the second correlated series, searches respectively the maximum related value in the first correlated series and the second correlated series, and corresponding index value;

Cell set numbering computing unit, for calculating cell set numbering according to described index value.

Preferably, described threshold value acquiring unit comprises:

The first correlated series threshold value acquiring unit, for calculating the mean value of the correlation in described the first correlated series, and carries out N and doubly processes, and obtains the threshold value of the first correlated series, and described N is constant;

The second correlated series threshold value acquiring unit, for calculating respectively the mean value of the correlation in described eight group of second correlated series, and carries out N and doubly processes, and obtains the threshold value of eight group of second correlated series.

Preferably, described peak value processing unit comprises:

Comparing unit, for comparing the correlation threshold value corresponding with it of each group correlated series respectively;

Zero setting unit, for being less than the correlated series value zero setting of described threshold value;

Stick unit, for being left initial value by the correlated series value that is greater than described threshold value.

Preferably, described maximum related value is searched unit and is comprised:

Grouped element, for according to the principle of mould eight congruences, the index value of described the first correlated series being divided into eight groups, and is divided into eight groups by corresponding correlated series value;

The first correlated series maximal metric value is searched unit, for finding out maximal metric value and the corresponding index value thereof in every group of described eight group of first correlated series;

The second correlated series maximal metric value is searched unit, for select maximal metric value and the corresponding index value thereof of every group from eight group of second correlated series;

Addition unit, for by the maximal metric value of described the first correlated series and the corresponding addition of maximal metric value in the second correlated series;

Index is to searching unit, for searching the maximal metric value after addition, and corresponding index value pair.

Can find out from above-mentioned technical scheme, the disclosed a kind of LTE system secondary synchronization sequences cell set numbering detection method of the embodiment of the present invention and device, in existing detection method, add and utilized threshold value to carry out the process of peak value processing, filtering the correlation detecting when frequency mistake, avoided corresponding by detecting the correlation that wrong frequency obtains the situation of the error detection causing as testing result occurs, and has reduced false detection rate, has improved accuracy in detection.

Brief description of the drawings

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.

Fig. 1 is the disclosed a kind of LTE system secondary synchronization sequences cell set numbering detection method flow chart of the embodiment of the present invention;

Fig. 2 is the disclosed another LTE system secondary synchronization sequences cell set numbering detection method flow chart of the embodiment of the present invention;

Fig. 3 is LTE system secondary synchronization sequences cell set numbering structure of the detecting device schematic diagram disclosed by the invention.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.

The invention discloses a kind of LTE system secondary synchronization sequences cell set numbering detection method, in existing detection method, add and utilized threshold value to carry out the process of peak value processing, filtering the performance number detecting when frequency mistake, avoided corresponding by detecting the correlation that wrong frequency obtains the situation of the error detection causing as testing result occurs, and accuracy in detection is provided.For convenience, in the following describes, replace the first correlated series with correlated series 0, correlated series 1 replaces the second correlated series, and its embodiment is as follows:

The implementation process of a kind of LTE system secondary synchronization sequences cell set numbering detection method disclosed by the invention as flow process as shown in Figure 1, comprising:

Step S11, one group of correlated series 0 of reception and eight groups of correlated serieses 1;

In this step first according to the short sequence in formula (3) obtain one group of correlated series 0 by auto-correlation, use represent, length is 32, then by formula 1 through different after unwinding, the correlated series 1 that auto-correlation produces, every group of length is 32, uses n=0,1 ... 7 represent.

By formula can find out, no matter m ₀value be how many, its correspondence all only have 8 groups, so correlated series 1 is 8 groups.

Step S12, obtain the threshold value corresponding with described correlated series;

In the present invention, choose a threshold value Γ according to the correlated series of input, utilize this threshold value Γ, the correlation in correlated series is processed.

Step S13, the described threshold value of foundation are carried out peak value processing to described correlated series 0 and correlated series 1 respectively, and the correlated series value that is less than described threshold value is set to 0, and retain the correlated series value that is not less than described threshold value;

Can represent by following formula the processing procedure of correlated series 0:

${\mathrm{\&eta;}}_0^{\left(m_0\right)}\left(i\right)=\left\{\begin{array}{cc}0& \mathrm{if}{\widetilde{\mathrm{\&eta;}}}_0^{\left(m_0\right)}\left(i\right)<\mathrm{\&Gamma;}\\ {\widetilde{\mathrm{\&eta;}}}_0^{\left(m_0\right)}\left(i\right)& \mathrm{otherwise}\end{array}\right.---\left(8\right)$

The correlation that is less than threshold value Γ in correlated series is set to 0, and the correlation that is more than or equal to threshold value keeps initial value.

Can represent by following formula the processing procedure of correlated series 1:

${\mathrm{\&eta;}}_{1,n}^{\left(m_1\right)}\left(i\right)=\left\{\begin{array}{cc}0& \mathrm{if}{\widetilde{\mathrm{\&eta;}}}_{1,n}^{\left(m_1\right)}\left(i\right)<\mathrm{\&Gamma;}\\ {\widetilde{\mathrm{\&eta;}}}_{1,n}^{\left(m_1\right)}\left(i\right)& \mathrm{otherwise}\end{array}\right.n=\mathrm{0,1},...,7---\left(9\right)$

The correlation that is less than thresholding Γ in eight groups of correlated serieses 1 is set to 0, and the correlation that is more than or equal to threshold value remains unchanged.

By above-mentioned processing, will be less than the correlation filtering of threshold value Γ, i.e. the detected value of filtering mistake frequency, through one group of correlated series 0 of threshold processing, uses represent; Through eight groups of correlated serieses 1 of threshold processing, use n=0,1 ... 7 represent.

Step S14, judge whether the value in described correlated series after treatment 0 and 1 is 0 entirely, whether all has nonzero value, if so, finishes, and if not, performs step S15;

In the time that all correlations are all less than threshold value Γ, illustrate that the correlation in the sequence this time receiving is against regulation.If correlation with be all 0, be set to owing to numbering in cell ID group can not be negative, so represent to detect unsuccessfully, the detected value that the correlation of input is wrong frequency, does not therefore carry out any processing, process ends.

Step S15, search the maximum related value in correlated series 0 and 1 respectively, and corresponding index value;

The process of searching the maximum of correlated series 0 and the index value of correspondence thereof can represent with following formula:

${\mathrm{\&xi;}}_0^{\left(m_0\right)}=\arg \underset{i}{\max }\left\{{\mathrm{\&eta;}}_0^{\left(m_0\right)}(i+1)\right\}---\left(10\right)$

In formula, represent the corresponding index value of maximum related value in correlated series 0, the implication of this formula is: search a value i, i ∈ 0,1 ..., 30}, in the time that in its corresponding correlated series 0, correlation is maximum, by the value of i, gives

The process of searching the maximum of correlated series 1 and the index value of correspondence thereof can represent with following formula:

${\mathrm{\&xi;}}_1^{\left(m_1\right)}=\arg \underset{i}{\max }\left\{{\mathrm{\&eta;}}_{1,n}^{\left(m_1\right)}(i+1)\right\}---\left(11\right)$

Wherein,

n＝0，1，...，7

i∈{0，1，...，30}

From eight groups of correlated serieses 1, find out maximum related value, and corresponding index value.

Step S16, calculate cell set numbering according to described index value.

First according to following formula, be assigned to respectively the parameter in different m sequences by obtaining two index values in above-mentioned steps,

$m_0=\min \{{\mathrm{\&xi;}}_0^{\left(m_0\right)},{\mathrm{\&xi;}}_1^{\left(m_1\right)}\}$ (12)

$m_1=\max \{{\mathrm{\&xi;}}_0^{\left(m_0\right)},{\mathrm{\&xi;}}_1^{\left(m_1\right)}\}$

Less value is assigned to m ₀, higher value is assigned to m ₁.

Then calculate cell set numbering according to following formula

m′＝31(m ₁-m ₀-1)+m ₀

$N_{\mathrm{ID}}^{\left(1\right)}=m^{\&prime;}-q(q+1)/2$

Testing process finishes.

In the disclosed LTE system of the present embodiment secondary synchronization sequences cell set numbering detection method, increase the process of utilizing threshold value to process the correlation of input, by predefined threshold value, the signal that is less than threshold value in the correlation of input is carried out to zero setting processing, reduce the probability that the correlation corresponding with wrong frequency occurs in detected correlation, realize and reduced the impact on testing result of correlation that wrong frequency is corresponding with this, reduce false drop rate, improved accuracy in detection.

In LTE system secondary synchronization sequences cell set numbering detection method disclosed by the invention, choosing of threshold value is the basis of whole processing procedure, what it was concrete chooses mode is the value according to input signal, select an empirical value, empirical value is that technical staff obtains in a large amount of practical applications, can embody the value of the correlation magnitude range that most correct frequencies are corresponding, therefrom select a value, as discriminant value, utilize this empirical value, signal to input carries out threshold processing, its concrete selection course can be for choosing a threshold value to one group of correlated series 0 and eight groups of 1 of correlated serieses of input, nine groups of list entries are processed by this threshold value, also can be, each group sequence is chosen respectively to a threshold value, process respectively the data of each group.Or be other the mode of choosing, as long as according to thought of the present invention, set the mode of threshold value, all belong to protection scope of the present invention.In two kinds of above-mentioned implementations, each group sequence is chosen respectively to a threshold value, process respectively the method for the data of each group and more only choose a threshold value, the method for nine groups of list entries being processed by this threshold value, accuracy is higher, and false drop rate is lower.

The flow process of another LTE system secondary synchronization sequences cell set numbering detection method disclosed by the invention as shown in Figure 2, comprising:

Step S21, one group of correlated series 0 of reception and eight groups of correlated serieses 1, described correlated series is 32;

In the present embodiment, input data and be similarly one group of correlated series 0, length is 32, uses represent; Eight groups of correlated serieses 1, every group of length is 32, uses n=0,1 ... 7 represent.

Step S22, calculate the mean value of the correlation in described correlated series 0, and carry out N and doubly process, obtain the threshold value of correlated series 0, described N is arbitrary constant;

Said process can complete by following formula:

${\mathrm{\&Gamma;}}_0^{\left(m_0\right)}=N\underset{i=0}{\overset{31}{\mathrm{\&Sigma;}}}{\widetilde{\mathrm{\&eta;}}}_0^{\left(m_0\right)}\left(i\right)/32---\left(14\right)$

Wherein, for the threshold value of correlated series 0, N is arbitrary constant, and its occurrence can be chosen according to actual conditions.

Step S23, calculate respectively the mean value of the correlation in described eight groups of correlated serieses 1, and carry out N and doubly process, obtain the threshold value of eight groups of correlated serieses 1;

Can complete said process with following formula equally:

${\mathrm{\&Gamma;}}_{1,n}^{\left(m_1\right)}=N\underset{i=0}{\overset{31}{\mathrm{\&Sigma;}}}{\widetilde{\mathrm{\&eta;}}}_{1,n}^{\left(m_1\right)}\left(i\right)/32---\left(15\right)$

Wherein, n=0,1 ... 7,, N is constant. represent the threshold value of n group correlated series 1.Utilize above-mentioned formula, can calculate respectively the threshold value of each group correlated series 1 correspondence.

Step S24, respectively the correlation threshold value corresponding with it of each group correlated series compared, the correlated series value that is less than described threshold value is set to 0, reservation is greater than the correlated series value of described threshold value;

To the processing procedure of correlated series 0, can realize with following formula:

${\mathrm{\&eta;}}_0^{\left(m_0\right)}\left(i\right)=\left\{\begin{array}{cc}0& \mathrm{if}{\widetilde{\mathrm{\&eta;}}}_0^{\left(m_0\right)}\left(i\right)<{\mathrm{\&Gamma;}}_0^{\left(m_0\right)}\\ {\widetilde{\mathrm{\&eta;}}}_0^{\left(m_0\right)}\left(i\right)& \mathrm{otherwise}\end{array}\right.---\left(16\right)$

To be less than correlated series value set to 0, reservation is greater than correlated series value.

The processing procedure of correlated series 1 need to be organized each the threshold value that correlated series 1 is corresponding with it and compare,

${\mathrm{\&eta;}}_{1,n}^{\left(m_1\right)}\left(i\right)=\left\{\begin{array}{cc}0& \mathrm{if}{\widetilde{\mathrm{\&eta;}}}_{1,n}^{\left(m_1\right)}\left(i\right)<{\mathrm{\&Gamma;}}_{1,n}^{\left(m_1\right)}\\ {\widetilde{\mathrm{\&eta;}}}_{1,n}^{\left(m_1\right)}\left(i\right)& \mathrm{otherwise}\end{array}\right.n=\mathrm{0,1},...,7---\left(17\right)$

Obtain eight groups of correlated serieses 1 after treatment.

Step S25, judge whether the value in described correlated series after treatment 0 and 1 is 0 entirely, if so, finishes, and if not, performs step S26;

Step S26, according to the principle of mould 8 congruences, the index value of described correlated series 0 is divided into 8 groups, and corresponding correlated series value is divided into eight groups;

The index value of correlated series 0 is 0-31, and index value and 8 is carried out to modular arithmetic, and the remainder obtaining is 0-7, and corresponding index value identical remainder correlated series value is divided into one group, obtains altogether eight groups of correlated serieses 0.

Step S27, find out maximal metric value in every group and corresponding index value thereof;

Find out respectively the maximum related value in above-mentioned 8 groups of correlated serieses 0, and corresponding index value.Its process can utilize following formula to complete:

First find the maximum in each group

${\mathrm{\&eta;}}_0^{\&prime;\left(m_0\right)}\left(n\right)=\max \{{\mathrm{\&eta;}}_0^{\left(m_0\right)}(n+1)+8i\}---\left(18\right)$

Then, obtain its corresponding index value

${\mathrm{\&xi;}}_0^{\left(m_0\right)}\left(n\right)=n+8*\arg \underset{i}{\max }\left\{{\widetilde{\mathrm{\&eta;}}}_0^{\left(m_0\right)}(n+1+8i)\right\}---\left(19\right)$

Wherein n=0,1 ..., 7, and

$\left\{\begin{array}{cc}i\&Element;\left\{\mathrm{0,1,2,3}\right\}& n=\mathrm{0,1},...,6\\ i\&Element;\left\{\mathrm{0,1,2}\right\}& n=7\end{array}\right.$

Step S28, from 8 groups of correlated serieses 1, select the maximum related value of every group and corresponding index value thereof;

In like manner find maximum related value and corresponding index value thereof in correlated series 1,

${\mathrm{\&eta;}}_1^{\&prime;\left(m_1\right)}\left(n\right)=\max \left\{{\widetilde{\mathrm{\&eta;}}}_{1,n}^{\left(m_1\right)}(i+1)\right\}---\left(20\right)$

${\mathrm{\&xi;}}_1^{\left(m_1\right)}\left(n\right)=\arg \underset{i}{\max }\left\{{\widetilde{\mathrm{\&eta;}}}_{1,n}^{\left(m_1\right)}(i+1)\right\}---\left(21\right)$

Wherein

n＝0，1，...，7

i∈{0，1，...，30}

Step S29, by the maximum related value in described correlated series 0 and the corresponding addition of maximum related value in correlated series 1;

According to the following equation:

$\mathrm{\&eta;}\left(n\right)={\mathrm{\&eta;}}_0^{\&prime;\left(m_0\right)}\left(n\right)+{\mathrm{\&eta;}}_1^{\&prime;\left(m_1\right)}\left(n\right),n=\mathrm{0,1},...,7---\left(22\right)$

By eight groups of correlated serieses 0 and eight groups of corresponding additions of correlated series 1, obtain eight additive values.

Step S210, search the maximum related value after addition, and corresponding index value pair;

From eight additive values, choose large value, and obtain the index value of two correlated series values that are added.

Step S29 and S210 can merge into a step equally, do not adopt successively and to be added, still also passable according to searching mode to large value and manipulative indexing value thereof.

Step S211, calculate cell set numbering according to described index value.

According to formula 12, less value is assigned to m equally ₀, higher value is assigned to m ₁.

Then calculate cell set numbering according to formula 13

In the disclosed LTE system of the present embodiment secondary synchronization sequences cell set numbering detection method, adopt the mode of calculating respectively the arithmetic mean of correlation in each group correlated series to obtain the threshold value corresponding to every group, the correlated series of the basis for selecting input of this threshold value is different and different, and, can embody intuitively the correlation of the correlated series of each group input, make testing process more accurate using this as distinguishing rule, further reduce the false drop rate in testing process, ensured the accuracy of secondary synchronization sequences.

The present embodiment is not limited in processing procedure, process after correlated series 0 according to the principle of mould eight congruences, be added with correlated series 1, then choose the method for maximum related value, can directly search equally the maximum related value in described correlated series 0, and find its corresponding index value; Search respectively eight maximums corresponding to eight groups of correlated serieses 1, and find its corresponding index value; Then from described eight maximums, find out the maximum of whole correlated series 1, and corresponding index value, the result accuracy obtaining after just processing according to the principle of above-mentioned mould eight congruences is higher.

Meanwhile, the present embodiment does not limit and adopts the mode of calculating the arithmetic mean in every group of correlated series to obtain threshold value, can be geometrical mean or weighted average yet.Adopt weighted average, because the size of average not only depends on the size of each correlation in every group, and depend on the number of times that each correlation occurs, so to a certain extent, its accuracy is higher, more reasonable.But, utilize the method amount of calculation of weighted average to strengthen, process is comparatively complicated, so the present embodiment has been chosen arithmetic mean.

The present invention discloses a kind of LTE system secondary synchronization sequences cell set numbering checkout gear, its structure as shown in Figure 3, comprise: correlated series receiving element 31, threshold value acquiring unit 32, peak value processing unit 33, maximum related value are searched unit 34 and cell set numbering computing unit 35, wherein:

Correlated series receiving element 31 is for receiving one group of correlated series 0 and eight groups of correlated serieses 1, and described correlated series is 32; Threshold value acquiring unit 32 is for obtaining the threshold value corresponding with described correlated series; Peak value processing unit 33, for respectively described correlated series 0 and correlated series 1 being carried out to peak value processing according to described threshold value, will be less than the correlated series value zero setting of described threshold value, retains the correlated series value that is not less than described threshold value; Maximum related value is searched unit 34 in the time all having nonzero value in described correlated series 0 and 1 after treatment, searches respectively the maximum related value in correlated series 0 and 1, and corresponding index value; Cell set numbering computing unit 35 is for calculating cell set numbering according to described index value.

Wherein, threshold value acquiring unit comprises 32: correlated series 0 threshold value acquiring unit 321, and for calculating the mean value of the correlation in described correlated series 0, and carry out N and doubly process, obtain the threshold value of correlated series 0, described N is constant; Correlated series 1 threshold value acquiring unit 322, for calculating respectively the mean value of the correlation in described eight groups of correlated serieses 1, and carries out N and doubly processes, and obtains the threshold value of eight groups of correlated serieses 1.Certainly, it also can directly obtain or choose an empirical value, as threshold value.

Peak value processing unit 33 comprises: comparing unit 331, for respectively the correlation threshold value corresponding with it of each group correlated series being compared; Zero setting unit 332, for setting to 0 the correlated series value that is less than described threshold value; Stick unit 333, for being left initial value by the correlated series value that is not less than described threshold value.

Maximum related value is searched unit 34 and is comprised: grouped element 341, for according to the principle of mould 8 congruences, the index value of described correlated series 0 being divided into 8 groups, and is divided into eight groups by corresponding correlated series value; Correlated series 0 maximum related value is searched unit 342, for finding out maximum related value and the corresponding index value thereof in every group of described 8 groups of correlated serieses 0; Correlated series 1 maximum related value is searched unit 343, for select maximum related value and the corresponding index value thereof of every group from 8 groups of correlated serieses 1; Addition unit 344, for by the maximum related value of described correlated series 0 and the corresponding addition of maximum related value in correlated series 1; Index is to searching unit 345, for searching the maximum related value after addition, and corresponding index value pair.Certainly, this correlation is searched unit also can adopt the peaked mode in maximum and the correlated series 1 of directly finding out in correlated series 0, its corresponding index value of reentrying.

In this device, when correlated series receiving element 31 receives after the correlated series 0 and 1 of input, correlated series 0 and 1 is sent into threshold value acquiring unit 32, threshold value acquiring unit 32 is chosen an empirical value according to the correlated series of input, or, calculate each and organize corresponding mean value, obtain threshold value, peak value processing unit 33 utilizes threshold value filtering to be less than the signal value of the wrong frequency of threshold value, to ensure in subsequent processes, these incorrect signal values can not affect testing result, affect Detection accuracy.Then search maximum related value and corresponding index value thereof in correlated series 0 and correlated series 1, and then obtain cell set numbering.

The concrete operations that in this device, each unit is carried out can, with reference to aforesaid embodiment of the method, not repeat them here.

In this specification, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment, between each embodiment identical similar part mutually referring to.For the disclosed device of embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates referring to method part.

Professional can also further recognize, unit and the algorithm steps of each example of describing in conjunction with embodiment disclosed herein, can realize with electronic hardware, computer software or the combination of the two, for the interchangeability of hardware and software is clearly described, composition and the step of each example described according to function in the above description in general manner.These functions are carried out with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel can realize described function with distinct methods to each specifically should being used for, but this realization should not thought and exceeds scope of the present invention.

The software module that the method for describing in conjunction with embodiment disclosed herein or the step of algorithm can directly use hardware, processor to carry out, or the combination of the two is implemented.Software module can be placed in the storage medium of any other form known in random asccess memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field.

To the above-mentioned explanation of the disclosed embodiments, make professional and technical personnel in the field can realize or use the present invention.To be apparent for those skilled in the art to the multiple amendment of these embodiment, General Principle as defined herein can, in the situation that not departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.

Claims (10)

1. a Long Term Evolution LTE system secondary synchronization sequences cell set numbering detection method, is characterized in that, comprising:

Receive one group of first correlated series and eight group of second correlated series;

Obtain the threshold value that described correlated series is corresponding;

Respectively described the first correlated series and the second correlated series are carried out to peak value processing according to described threshold value, will be less than the correlated series value zero setting of described threshold value, retain the correlated series value that is not less than described threshold value;

In the time all thering is nonzero value in described the first correlated series after treatment and the second correlated series, search respectively the maximum related value in described the first correlated series and the second correlated series, and corresponding index value;

Calculate cell set numbering according to described index value;

Wherein, calculating cell set numbering according to described index value is specially:

Described two index values that obtain are assigned to respectively to the parameter in different m sequences, are about to less value in two index values and are assigned to m ₀, larger value in two index values is assigned to m ₁, wherein, m ₀, m ₁be the index value of m sequence, then calculate cell set numbering according to following computing formula:

m'＝31(m ₁-m ₀-1)+m ₀，

$N_{\mathrm{ID}}^{\left(1\right)}=m^{\&prime;}-q(q+1)/2,$

Wherein, be cell set numbering.

2. method according to claim 1, is characterized in that, the described process of obtaining threshold value according to described correlated series comprises:

Calculate the mean value of the correlation in described the first correlated series, and carry out N and doubly process, obtain the threshold value of the first correlated series, described N is constant;

Calculate respectively the mean value of the correlation in described eight group of second correlated series, and carry out N and doubly process, obtain the threshold value of eight group of second correlated series.

3. method according to claim 2, is characterized in that, the process of respectively described the first correlated series and the second correlated series being carried out to peak value processing according to described threshold value comprises:

Respectively the correlation threshold value corresponding with it of each group correlated series compared, will be less than the correlated series value zero setting of described threshold value, retain the correlated series value that is greater than described threshold value.

4. method according to claim 3, is characterized in that, described maximum related value of searching respectively in the first correlated series and the second correlated series, and the process of corresponding index value comprises:

According to the principle of mould eight congruences, the index value of described the first correlated series is divided into eight groups, and corresponding correlated series value is divided into eight groups;

Find out maximal metric value and corresponding index value thereof in every group;

From eight group of second correlated series, select maximal metric value and the corresponding index value thereof of every group;

By the maximal metric value in described the first correlated series and the corresponding addition of maximal metric value in the second correlated series;

Search the maximal metric value after addition, and corresponding index value pair.

5. according to the method described in any one in claim 2-4, it is characterized in that, the mean value of the correlation in described calculating correlated series comprises: the arithmetic mean that calculates correlation in described correlated series.

6. method according to claim 3, is characterized in that, described maximum related value of searching respectively in the first correlated series and the second correlated series, and the process of corresponding index value comprises:

Search the maximum related value in described the first correlated series, and find its corresponding index value;

Search respectively eight maximums corresponding to eight group of second correlated series, and find its corresponding index value;

From described eight maximums, find out maximum, and corresponding index value.

7. a Long Term Evolution LTE system secondary synchronization sequences cell set numbering checkout gear, is characterized in that, comprising:

Correlated series receiving element, for receiving one group of first correlated series and eight group of second correlated series;

Threshold value acquiring unit, for obtaining the threshold value that described correlated series is corresponding;

Peak value processing unit, for respectively described the first correlated series and the second correlated series being carried out to peak value processing according to described threshold value, will be less than the correlated series value zero setting of described threshold value, retains the correlated series value that is not less than described threshold value;

Maximum related value is searched unit, in the time all having nonzero value in described the first correlated series after treatment and the second correlated series, searches respectively the maximum related value in the first correlated series and the second correlated series, and corresponding index value;

Cell set numbering computing unit, for calculating cell set numbering according to described index value;

Wherein, calculating cell set numbering according to described index value is specially:

Described two index values that obtain are assigned to respectively to the parameter in different m sequences, are about to less value in two index values and are assigned to m ₀, larger value in two index values is assigned to m ₁, wherein, m ₀, m ₁be the index value of m sequence, then calculate cell set numbering according to following computing formula:

m'＝31(m ₁-m ₀-1)+m ₀，

$N_{\mathrm{ID}}^{\left(1\right)}=m^{\&prime;}-q(q+1)/2,$

Wherein, be cell set numbering.

8. device according to claim 7, is characterized in that, described threshold value acquiring unit comprises:

The first correlated series threshold value acquiring unit, for calculating the mean value of the correlation in described the first correlated series, and carries out N and doubly processes, and obtains the threshold value of the first correlated series, and described N is constant;

The second correlated series threshold value acquiring unit, for calculating respectively the mean value of the correlation in described eight group of second correlated series, and carries out N and doubly processes, and obtains the threshold value of eight group of second correlated series.

9. device according to claim 8, is characterized in that, described peak value processing unit comprises:

Comparing unit, for comparing the correlation threshold value corresponding with it of each group correlated series respectively;

Zero setting unit, for being less than the correlated series value zero setting of described threshold value;

Stick unit, for being left initial value by the correlated series value that is greater than described threshold value.

10. device according to claim 9, is characterized in that, described maximum related value is searched unit and comprised:

Grouped element, for according to the principle of mould eight congruences, the index value of described the first correlated series being divided into eight groups, and is divided into eight groups by corresponding correlated series value;

The first correlated series maximal metric value is searched unit, for finding out maximal metric value and the corresponding index value thereof in every group of described eight group of first correlated series;

The second correlated series maximal metric value is searched unit, for select maximal metric value and the corresponding index value thereof of every group from eight group of second correlated series;

Addition unit, for by the maximal metric value of described the first correlated series and the corresponding addition of maximal metric value in the second correlated series;

Index is to searching unit, for searching the maximal metric value after addition, and corresponding index value pair.