CN102387582A - Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system - Google Patents

Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system Download PDF

Info

Publication number
CN102387582A
CN102387582A CN2010102751609A CN201010275160A CN102387582A CN 102387582 A CN102387582 A CN 102387582A CN 2010102751609 A CN2010102751609 A CN 2010102751609A CN 201010275160 A CN201010275160 A CN 201010275160A CN 102387582 A CN102387582 A CN 102387582A
Authority
CN
China
Prior art keywords
value
correlated series
correlated
threshold value
group
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2010102751609A
Other languages
Chinese (zh)
Other versions
CN102387582B (en
Inventor
邓瑞楠
郭华永
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Leadcore Technology Co Ltd
Original Assignee
Leadcore Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Leadcore Technology Co Ltd filed Critical Leadcore Technology Co Ltd
Priority to CN201010275160.9A priority Critical patent/CN102387582B/en
Publication of CN102387582A publication Critical patent/CN102387582A/en
Application granted granted Critical
Publication of CN102387582B publication Critical patent/CN102387582B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Complex Calculations (AREA)

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 the correlated value obtained by detecting the wrong frequency point is correspondingly 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's secondary synchronization sequences cell set numbering detection method and device
Technical field
The present invention relates to the LTE communication technical field, relate in particular to a kind of LTE system's secondary synchronization sequences cell set numbering detection method and device.
Background technology
Secondary synchronization sequences SSC in LTE (Long Term Evolution, the Long Term Evolution) system is defined as:
d ( 2 n ) = s 0 ( m 0 ) ( n ) c 0 ( n ) in subframe 0 s 1 ( m 1 ) ( n ) c 0 ( n ) in subframe 5
d ( 2 n + 1 ) = s 1 ( m 1 ) ( n ) c 1 ( n ) z 1 ( m 0 ) ( n ) in subframe 0 s 0 ( m 0 ) ( n ) c 1 ( n ) z 1 ( m 1 ) ( n ) in subframe 5 - - - ( 1 )
Wherein, 0≤n≤30, the index value m of m sequence 0And m 1By the cell ID group number
Figure BSA00000260803500013
Generate:
m 0=m′mod?31
m ′ = N ID ( 1 ) + q ( q + 1 ) / 2 ,
Figure BSA00000260803500017
According to above-mentioned formula; At first calculate intermediate variable q, then sequence
Figure BSA00000260803500018
and
Figure BSA00000260803500019
two different cyclic shifts corresponding to m sequence
Figure BSA000002608035000110
:
s 0 ( m 0 ) ( n ) = s ~ ( ( n + m 0 ) mod 31 )
s 1 ( m 1 ) ( n ) = s ~ ( ( n + m 1 ) mod 31 ) - - - ( 3 )
Wherein
Figure BSA000002608035000113
0≤i≤30 definition are as follows:
x ( i ‾ + 5 ) = ( x ( i ‾ + 2 ) + x ( i ‾ ) ) mod 2 , 0 ≤ i ‾ ≤ 25 - - - ( 4 )
Initial condition is x (0)=0, x (1)=0, x (2)=0, x (3)=0, x (4)=1.
c 0(n) and c 1(n) be two scramble sequence, be the m sequence
Figure BSA000002608035000116
Different cyclic shifts, shift value depends on P-SCH, also promptly depends on numbering in the cell ID group of synchronous signal sequence
Figure BSA000002608035000117
c 0 ( n ) = c ~ ( ( n + N ID ( 2 ) ) mod 31 )
c 1 ( n ) = c ~ ( ( n + N ID ( 2 ) + 3 ) mod 31 ) - - - ( 5 )
Wherein
Figure BSA00000260803500023
0≤i≤30 definition are as follows:
x ( i ‾ + 5 ) = ( x ( i ‾ + 3 ) + x ( i ‾ ) ) mod 2 , 0 ≤ i ‾ ≤ 25
Initial condition is x (0)=0, x (1)=0, x (2)=0, x (3)=0, x (4)=1.
Figure BSA00000260803500026
and
Figure BSA00000260803500027
also is scrambler sequence, generated by m sequence
Figure BSA00000260803500028
cyclic shift:
z 1 ( m 0 ) ( n ) = z ~ ( ( n + ( m 0 mod 8 ) ) mod 31 )
z 1 ( m 1 ) ( n ) = z ~ ( ( n + ( m 1 mod 8 ) ) mod 31 ) - - - ( 6 )
Wherein
Figure BSA000002608035000211
0≤i≤30 definition are as follows:
x ( i ‾ + 5 ) = ( x ( i ‾ + 4 ) + x ( i ‾ + 2 ) + x ( i ‾ + 1 ) + x ( i ‾ ) ) mod 2 , 0 ≤ i ‾ ≤ 25 - - - ( 7 )
Initial condition is x (0)=0, x (1)=0, x (2)=0, x (3)=0, x (4)=1.
This shows; In the generative process of secondary synchronization sequences, cell ID group number
Figure BSA000002608035000214
is a very important parameter.
Theoretically; In cell search process; If the subdistrict frequency point of the transferring output of frequency point scanning algorithm or high-rise is not real center of housing estate frequency; But during wrong frequency; The result of auxilliary synchronous detecting should be and detects failure; The detection method that does not have the existing cell set numbering of cell set numbering
Figure BSA000002608035000215
; No matter be in time domain or in frequency domain; All adopt the good correlation of utilizing the m sequence, confirm the mode of cell set numbering
Figure BSA000002608035000217
through the position of detected correlation peak.But; Because it adopts the peaked mode of searching correlation; The synchronizing signal correctness that no matter receives; Peak-peak is found out in the capital; Providing testing result then, obviously, obviously is wrong according to this maximum obtains
Figure BSA000002608035000218
; So; This pairing can cause higher false detection rate as the method for testing result according to its maximum position according to searching correlation peak, and accuracy in detection is also lower.
Summary of the invention
In view of this, the present invention provides a kind of LTE system's secondary synchronization sequences cell set numbering detection method and device, and to solve the high problem of detection method false detection rate in the prior art, its concrete scheme is following:
A kind of Long Term Evolution LTE system secondary synchronization sequences cell set numbering detection method comprises:
Receive one group of first correlated series and eight group of second correlated series;
Obtain the corresponding threshold value of said correlated series;
Respectively said first correlated series and second correlated series are carried out the peak value processing according to said threshold value, will keep the correlated series value that is not less than said threshold value less than the correlated series value zero setting of said threshold value;
When all having nonzero value in first correlated series after the said processing and second correlated series, search the maximum related value in said first correlated series and second correlated series respectively, and corresponding index value;
Calculate the cell set numbering according to said index value.
Preferably, the said process of obtaining threshold value according to said correlated series comprises:
Calculate the mean value of the correlation in said first correlated series, and carry out N and doubly handle, obtain the threshold value of first correlated series, said N is a constant;
Calculate the mean value of the correlation in said eight group of second correlated series respectively, and carry out N and doubly handle, obtain the threshold value of eight group of second correlated series.
Preferably, respectively said first correlated series and second correlated series being carried out the process that peak value handles according to said threshold value comprises:
The correlation threshold value corresponding with it with each group correlated series compares respectively, will keep the correlated series value greater than said threshold value less than the correlated series value zero setting of said threshold value.
Preferably, said maximum related value of searching respectively in first correlated series and second correlated series, and the process of corresponding index value comprises:
According to the principle of mould eight congruences the index value of said first correlated series is divided into eight groups, and the correlated series value of correspondence 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 every group maximal metric value and corresponding index value thereof;
With the corresponding addition of maximal metric value in the maximal metric value in said first correlated series and second correlated series;
Search the maximal metric value after the addition, and corresponding index value is right.
Preferably, the mean value of the correlation in the said calculating correlated series comprises: the arithmetic mean that calculates correlation in the said correlated series.
Preferably, said maximum related value of searching respectively in first correlated series and second correlated series, and the process of corresponding index value comprises:
Search the maximum related value in said first correlated series, and find its corresponding index value;
Search eight maximums respectively, and find its corresponding index value corresponding to eight group of second correlated series;
From said 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 comprises:
The correlated series receiving element is used to receive one group of first correlated series and eight group of second correlated series;
The threshold value acquiring unit is used to obtain the corresponding threshold value of said correlated series;
The peak value processing unit is used for respectively said first correlated series and second correlated series being carried out the peak value processing according to said threshold value, will keep the correlated series value that is not less than said threshold value less than the correlated series value zero setting of said threshold value;
Maximum related value is searched the unit, is used for when all having nonzero value in first correlated series after the said processing and second correlated series, searches the maximum related value in first correlated series and second correlated series respectively, and corresponding index value;
Cell set numbering computing unit is used for calculating the cell set numbering according to said index value.
Preferably, said threshold value acquiring unit comprises:
The first correlated series threshold value acquiring unit is used to calculate the mean value of the correlation in said first correlated series, and carries out N and doubly handle, and obtains the threshold value of first correlated series, and said N is a constant;
The second correlated series threshold value acquiring unit is used for calculating respectively the mean value of the correlation in said eight group of second correlated series, and carries out N and doubly handle, and obtains the threshold value of eight group of second correlated series.
Preferably, said peak value processing unit comprises:
Comparing unit is used for respectively each correlation threshold value corresponding with it of organizing correlated series being compared;
The zero setting unit is used for the correlated series value zero setting less than said threshold value;
Stick unit is used for the correlated series value greater than said threshold value is left initial value.
Preferably, said maximum related value is searched the unit and is comprised:
Grouped element is used for according to the principle of mould eight congruences the index value of said first correlated series being divided into eight groups, and the correlated series value of correspondence is divided into eight groups;
The first correlated series maximal metric value is searched the unit, is used for finding out maximal metric value and corresponding index value thereof in every group of said eight group of first correlated series;
The second correlated series maximal metric value is searched the unit, is used for selecting from eight group of second correlated series every group maximal metric value and corresponding index value thereof;
Addition unit is used for the corresponding addition of maximal metric value in the maximal metric value of said first correlated series and second correlated series;
Index is to searching the unit, be used to search the maximal metric value after the addition, and corresponding index value is right.
Can find out from above-mentioned technical scheme; Disclosed a kind of LTE system's secondary synchronization sequences cell set numbering detection method of the embodiment of the invention and device; In conventional detection, added and utilized threshold value to carry out the process that peak value is handled; Filtering detected correlation during the frequency mistake; The situation of the erroneous detection that the correlation of having avoided the faults frequency is obtained pairing
Figure BSA00000260803500051
causes as testing result takes place; Reduce false detection rate, improved accuracy in detection.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the disclosed a kind of LTE of an embodiment of the invention system secondary synchronization sequences cell set numbering detection method flow chart;
Fig. 2 is the disclosed another LTE of an embodiment of the invention system secondary synchronization sequences cell set numbering detection method flow chart;
Fig. 3 is a LTE disclosed by the invention system secondary synchronization sequences cell set numbering checkout gear structural representation.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
The invention discloses a kind of LTE system secondary synchronization sequences cell set numbering detection method; In conventional detection, added and utilized threshold value to carry out the process that peak value is handled; Filtering detected performance number during the frequency mistake; The situation of the erroneous detection that the correlation of having avoided the faults frequency is obtained pairing
Figure BSA00000260803500061
causes as testing result takes place, and accuracy in detection is provided.For convenience, in describing below, replace first correlated series with correlated series 0, correlated series 1 replaces second correlated series, and its embodiment is following:
The implementation process such as the flow process of a kind of LTE disclosed by the invention system secondary synchronization sequences cell set numbering detection method are as shown in Figure 1, comprising:
Step S11, one group of correlated series 0 of reception and eight groups of correlated serieses 1;
At first obtain one group of correlated series 0 through auto-correlation in this step according to the short sequence in the formula (3)
Figure BSA00000260803500062
; The expression with ; Length is 32; Then with behind different
Figure BSA00000260803500065
unwinding of
Figure BSA00000260803500064
in the formula 1 process; The correlated series 1 that auto-correlation produces; Every group length is 32; With
Figure BSA00000260803500066
n=0; 1 ... 7 expressions.
By formula Can find out, no matter m 0Value what are, it is corresponding
Figure BSA00000260803500068
All have only 8 groups, so correlated series 1 is 8 groups.
Step S12, obtain the threshold value corresponding with said correlated series;
Among the present invention, choose a threshold value Γ, utilize this threshold value Γ, the correlation in the correlated series is handled according to the correlated series of input.
Step S13, the said threshold value of foundation are carried out the peak value processing to said correlated series 0 and correlated series 1 respectively, will put 0 less than the correlated series value of said threshold value, keep the correlated series value that is not less than said threshold value;
Processing procedure to correlated series 0 can be passed through following formulate:
&eta; 0 ( m 0 ) ( i ) = 0 if &eta; ~ 0 ( m 0 ) ( i ) < &Gamma; &eta; ~ 0 ( m 0 ) ( i ) otherwise - - - ( 8 )
With putting 0 less than the correlation of threshold value Γ in the correlated series, more than or equal to the correlation maintenance initial value of threshold value.
Processing procedure to correlated series 1 can be passed through following formulate:
&eta; 1 , n ( m 1 ) ( i ) = 0 if &eta; ~ 1 , n ( m 1 ) ( i ) < &Gamma; &eta; ~ 1 , n ( m 1 ) ( i ) otherwise n = 0,1 , . . . , 7 - - - ( 9 )
Correlation less than thresholding Γ in eight groups of correlated serieses 1 is changed to 0, remains unchanged more than or equal to the correlation of threshold value.
Through above-mentioned processing; Will be less than the correlation filtering of threshold value Γ; It is the detected value of filtering mistake frequency; Through one group of correlated series 0 of threshold processing, the expression with
Figure BSA00000260803500073
; Eight groups of correlated serieses 1 through threshold processing; With
Figure BSA00000260803500074
n=0; 1 ... 7 expressions.
Step S14, judge whether the value in the correlated series 0 and 1 after the said processing is 0 entirely, promptly whether all has nonzero value, if, then finish, if not, execution in step S15 then;
When all correlations during, explain that the correlation in the sequence that this time receives is against regulation all less than threshold value Γ.If correlation
Figure BSA00000260803500075
and
Figure BSA00000260803500076
all are 0; Then it is changed to
Figure BSA00000260803500077
and can not be negative owing to number
Figure BSA00000260803500078
in the cell ID group; So
Figure BSA00000260803500079
expression detects failure; The correlation of input is the detected value of wrong frequency; Therefore do not carry out any processing, process ends.
Step S15, search maximum related value in correlated series 0 and 1, and corresponding index value respectively;
Search the maximum of correlated series 0 and the process of corresponding index value thereof and can use following formulate:
&xi; 0 ( m 0 ) = arg max i { &eta; 0 ( m 0 ) ( i + 1 ) } - - - ( 10 )
In the formula; represents the pairing index value of maximum related value in the correlated series 0; The implication of this formula is: search a value i; I ∈ 0,1 ...; 30}; When correlation is maximum in its corresponding correlated series 0,, give
Figure BSA000002608035000712
with the value of i
Search the maximum of correlated series 1 and the process of corresponding index value thereof and can use following formulate:
&xi; 1 ( m 1 ) = arg max i { &eta; 1 , n ( m 1 ) ( i + 1 ) } - - - ( 11 )
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 said index value.
At first, compose respectively to the parameter in the different m sequences obtaining two index values in the above-mentioned steps according to following formula,
m 0 = min { &xi; 0 ( m 0 ) , &xi; 1 ( m 1 ) } (12)
m 1 = max { &xi; 0 ( m 0 ) , &xi; 1 ( m 1 ) }
Less value is composed to m 0, higher value is composed to m 1
Calculate cell set numbering
Figure BSA00000260803500084
according to following formula then
m′=31(m 1-m 0-1)+m 0
N ID ( 1 ) = m &prime; - q ( q + 1 ) / 2
Testing process finishes.
In the disclosed LTE of the present embodiment system secondary synchronization sequences cell set numbering detection method; Increased the process of utilizing threshold value that the correlation of input is handled; Through predefined threshold value; Signal less than threshold value in the correlation of input is carried out the zero setting processing, reduced the probability that the correlation corresponding with wrong frequency occurs in correlation to be detected, realized reducing of the influence of the corresponding correlation of wrong frequency testing result with this; Reduce false drop rate, improved accuracy in detection.
In the LTE disclosed by the invention system secondary synchronization sequences cell set numbering detection method, choosing of threshold value is the basis of entire process process, and the mode of choosing that it is concrete is the value according to input signal; Select an empirical value, empirical value obtains in a large amount of practical applications for the technical staff, can embody the value of the corresponding correlation magnitude range of most correct frequencies; Therefrom select a value,, utilize this empirical value as discriminant value; Signal to input carries out threshold processing; Its concrete selection course can for to the input one group of correlated series 0 and eight groups of 1 of correlated serieses choose a threshold value, with this threshold value nine groups of list entries are handled, also can for; Each group sequence is chosen a threshold value respectively, handle the data of each group respectively.Perhaps,, all belong to protection scope of the present invention so long as, set the mode of threshold value according to thought of the present invention for other the mode of choosing.In two kinds of above-mentioned implementations; Each group sequence is chosen a threshold value respectively, handle the method for the data of each group respectively and more only choose a threshold value, the method for using this threshold value that nine groups of list entries are handled; Accuracy is higher, and false drop rate is lower.
The flow process of another LTE disclosed by the invention system secondary synchronization sequences cell set numbering detection method is as shown in Figure 2, comprising:
Step S21, one group of correlated series 0 of reception and eight groups of correlated serieses 1, said correlated series is 32;
The input data are similarly one group of correlated series 0 in the present embodiment; Length is 32, the expression with
Figure BSA00000260803500091
; Eight groups of correlated serieses 1; Every group length is 32; With
Figure BSA00000260803500092
n=0; 1 ... 7 expressions.
The mean value of the correlation in step S22, the said correlated series 0 of calculating, and carry out N and doubly handle, obtaining the threshold value of correlated series 0, said N is an arbitrary constant;
Said process can be accomplished through following formula:
&Gamma; 0 ( m 0 ) = N &Sigma; i = 0 31 &eta; ~ 0 ( m 0 ) ( i ) / 32 - - - ( 14 )
Wherein, is the threshold value of correlated series 0; N is an arbitrary constant, and its occurrence can be chosen according to actual conditions.
Step S23, calculate the mean value of the correlation in said eight groups of correlated serieses 1 respectively, and carry out N and doubly handle, obtain the threshold value of eight groups of correlated serieses 1;
Can accomplish said process with following formula equally:
&Gamma; 1 , n ( m 1 ) = N &Sigma; i = 0 31 &eta; ~ 1 , n ( m 1 ) ( i ) / 32 - - - ( 15 )
Wherein, n=0,1 ... 7,, N is a constant.The threshold value of
Figure BSA00000260803500096
expression n group correlated series 1.Utilize above-mentioned formula, can calculate the threshold value of each group correlated series 1 correspondence respectively.
Step S24, the correlation threshold value corresponding with it with each group correlated series compares respectively, will put 0 less than the correlated series value of said threshold value, and reservation is greater than the correlated series value of said threshold value;
To the processing procedure of correlated series 0, can use following formula to realize:
&eta; 0 ( m 0 ) ( i ) = 0 if &eta; ~ 0 ( m 0 ) ( i ) < &Gamma; 0 ( m 0 ) &eta; ~ 0 ( m 0 ) ( i ) otherwise - - - ( 16 )
To put 0 less than the correlated series value of
Figure BSA00000260803500102
, keep correlated series value greater than .
The processing procedure of correlated series 1 need be organized correlated series 1 threshold value corresponding with it with each and compare,
&eta; 1 , n ( m 1 ) ( i ) = 0 if &eta; ~ 1 , n ( m 1 ) ( i ) < &Gamma; 1 , n ( m 1 ) &eta; ~ 1 , n ( m 1 ) ( i ) otherwise n = 0,1 , . . . , 7 - - - ( 17 )
Obtain eight groups of correlated serieses 1 after the processing.
Step S25, judge whether the value in the correlated series 0 and 1 after the said processing is 0 entirely, if, then finish, if not, execution in step S26 then;
Step S26, the index value of said correlated series 0 is divided into 8 groups, and the correlated series value of correspondence is divided into eight groups according to the principle of mould 8 congruences;
The index value of correlated series 0 is 0-31, and index value and 8 is carried out modular arithmetic, and the remainder that obtains is 0-7, and the pairing correlated series value of the index value that remainder is identical is divided into one group, obtains eight groups of correlated serieses 0 altogether.
Step S27, find out maximal metric value and corresponding index value thereof in every group;
Find out the maximum related value in above-mentioned 8 groups of correlated serieses 0 respectively, and corresponding index value.Its process following formula capable of using is accomplished:
At first find the maximum
Figure BSA00000260803500105
in each group
&eta; 0 &prime; ( m 0 ) ( n ) = max { &eta; 0 ( m 0 ) ( n + 1 ) + 8 i } - - - ( 18 )
Then, obtain its corresponding index value
Figure BSA00000260803500107
&xi; 0 ( m 0 ) ( n ) = n + 8 * arg max i { &eta; ~ 0 ( m 0 ) ( n + 1 + 8 i ) } - - - ( 19 )
N=0 wherein, 1 ..., 7, and
i &Element; { 0,1,2,3 } n = 0,1 , . . . , 6 i &Element; { 0,1,2 } n = 7
Step S28, from 8 groups of correlated serieses 1, select every group maximum related value and corresponding index value thereof;
In like manner find maximum related value and corresponding index value thereof in the correlated series 1,
&eta; 1 &prime; ( m 1 ) ( n ) = max { &eta; ~ 1 , n ( m 1 ) ( i + 1 ) } - - - ( 20 )
&xi; 1 ( m 1 ) ( n ) = arg max i { &eta; ~ 1 , n ( m 1 ) ( i + 1 ) } - - - ( 21 )
Wherein
n=0,1,...,7
i∈{0,1,...,30}
Step S29, with the corresponding addition of maximum related value in the maximum related value in the said correlated series 0 and the correlated series 1;
According to the following equation:
&eta; ( n ) = &eta; 0 &prime; ( m 0 ) ( n ) + &eta; 1 &prime; ( m 1 ) ( n ) , n = 0,1 , . . . , 7 - - - ( 22 )
With eight groups of correlated serieses 0 and eight groups of correlated series 1 corresponding additions, obtain eight additive values.
Step S210, search the maximum related value after the addition, and corresponding index value is right;
From eight additive values, choose, and obtain the index value of two correlated series values of addition big value.
Step S29 and S210 can merge into a step equally, do not adopt addition successively, and be still also passable according to the mode of searching big value and manipulative indexing value thereof.
Step S211, calculate cell set numbering according to said index value.
According to formula 12, less value is composed to m equally 0, higher value is composed to m 1
Calculate cell set numbering
Figure BSA00000260803500114
according to formula 13 then
In the disclosed LTE of the present embodiment system secondary synchronization sequences cell set numbering detection method; Adopt the mode of calculating the arithmetic mean of correlation in each group correlated series respectively to obtain threshold value corresponding to every group; Choosing according to the correlated series of input of this threshold value is different and different; And, can embody the correlation that each organizes the correlated series of input intuitively, make testing process more accurate with this as distinguishing rule; Further reduce the false drop rate in the testing process, guaranteed the accuracy of secondary synchronization sequences.
Present embodiment is not limited in the processing procedure; Behind the principle processing correlated series 0 according to mould eight congruences,, choose the method for maximum related value again with correlated series 1 addition; Can directly search the maximum related value in the said correlated series 0 equally, and find its corresponding index value; Search eight maximums respectively, and find its corresponding index value corresponding to eight groups of correlated serieses 1; From said eight maximums, find out the maximum of whole correlated series 1 then, and corresponding index value, the accuracy as a result that obtains after just handling according to the principle of above-mentioned mould eight congruences is higher.
Simultaneously, 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, and is more reasonable.But, utilize the method amount of calculation of weighted average to strengthen, process is comparatively complicated, so 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 is 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 used to receive one group of correlated series 0 and eight groups of correlated serieses 1, and said correlated series is 32; Threshold value acquiring unit 32 is used to obtain the threshold value corresponding with said correlated series; Peak value processing unit 33 is used for respectively said correlated series 0 and correlated series 1 being carried out peak value according to said threshold value to be handled, and will keep the correlated series value that is not less than said threshold value less than the correlated series value zero setting of said threshold value; Maximum related value is searched unit 34 and is used for when all having nonzero value in the correlated series after the said processing 0 and 1, searches the maximum related value in correlated series 0 and 1 respectively, and corresponding index value; Cell set numbering computing unit 35 is used for calculating the cell set numbering according to said index value.
Wherein, the threshold value acquiring unit comprises 32: correlated series 0 threshold value acquiring unit 321, and be used to calculate the mean value of the correlation in the said correlated series 0, and carry out N and doubly handle, obtain the threshold value of correlated series 0, said N is a constant; Correlated series 1 threshold value acquiring unit 322 is used for calculating respectively the mean value of the correlation in said eight groups of correlated serieses 1, and carries out N and doubly handle, 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 is used for respectively each correlation threshold value corresponding with it of organizing correlated series being compared; Zero setting unit 332 is used for the correlated series value less than said threshold value is put 0; Stick unit 333 is used for the correlated series value that is not less than said threshold value is left initial value.
Maximum related value is searched unit 34 and comprised: grouped element 341 is used for according to the principle of mould 8 congruences the index value of said correlated series 0 being divided into 8 groups, and the correlated series value of correspondence is divided into eight groups; Correlated series 0 maximum related value is searched unit 342, is used for finding out maximum related value and corresponding index value thereof in 0 every group of said 8 groups of correlated series; Correlated series 1 maximum related value is searched unit 343, is used for selecting from 8 groups of correlated serieses 1 every group maximum related value and corresponding index value thereof; Addition unit 344 is used for the corresponding addition of maximum related value in the maximum related value of said correlated series 0 and the correlated series 1; Index is to searching unit 345, be used to search the maximum related value after the addition, and corresponding index value is right.Certainly, this correlation is searched the unit also can adopt the maximum directly found out in the correlated series 0 and the peaked mode in the correlated series 1, its corresponding index value of reentrying.
This device in, receive the correlated series 0 and 1 of input when correlated series receiving element 31 after, 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; Perhaps, calculate each group corresponding average, obtain threshold value; Peak value processing unit 33 utilizes the signal value of threshold value filtering less than the wrong frequency of threshold value; To guarantee that these incorrect signal values can not influence testing result in the subsequent processes, influence detects accuracy rate.Search maximum related value and corresponding index value thereof in correlated series 0 and the correlated series 1 then, and then obtain the cell set numbering.
The concrete operations that each unit is carried out in this device can be repeated no more at this with reference to aforesaid method embodiment.
Each embodiment adopts the mode of going forward one by one to describe in this specification, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.For the disclosed device of embodiment, because it is corresponding with the embodiment disclosed method, so description is fairly simple, relevant part is partly explained referring to method and is got final product.
The professional can also further recognize; The 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 clearly is described, the composition and the step of each example described prevailingly according to function in above-mentioned explanation.These functions still are that software mode is carried out with hardware actually, depend on the application-specific and the design constraint of technical scheme.The professional and technical personnel can use distinct methods to realize described function to each certain applications, but this realization should not thought and exceeds scope of the present invention.
The method of describing in conjunction with embodiment disclosed herein or the step of algorithm can be directly with the software modules of hardware, processor execution, and perhaps the combination of the two is implemented.Software module can place 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 the technical field.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use the present invention.Multiple modification to these embodiment will be conspicuous concerning those skilled in the art, and defined General Principle can realize under the situation that does not break away from the spirit or scope of the present invention in other embodiments among this paper.Therefore, the present invention will can not be restricted to these embodiment shown in this paper, but will meet and principle disclosed herein and features of novelty the wideest corresponding to scope.

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 corresponding threshold value of said correlated series;
Respectively said first correlated series and second correlated series are carried out the peak value processing according to said threshold value, will keep the correlated series value that is not less than said threshold value less than the correlated series value zero setting of said threshold value;
When all having nonzero value in first correlated series after the said processing and second correlated series, search the maximum related value in said first correlated series and second correlated series respectively, and corresponding index value;
Calculate the cell set numbering according to said index value.
2. method according to claim 1 is characterized in that, the said process of obtaining threshold value according to said correlated series comprises:
Calculate the mean value of the correlation in said first correlated series, and carry out N and doubly handle, obtain the threshold value of first correlated series, said N is a constant;
Calculate the mean value of the correlation in said eight group of second correlated series respectively, and carry out N and doubly handle, obtain the threshold value of eight group of second correlated series.
3. method according to claim 2 is characterized in that, respectively said first correlated series and second correlated series is carried out the process that peak value handles according to said threshold value and comprises:
The correlation threshold value corresponding with it with each group correlated series compares respectively, will keep the correlated series value greater than said threshold value less than the correlated series value zero setting of said threshold value.
4. method according to claim 3 is characterized in that, said maximum related value of searching respectively in first correlated series and second correlated series, and the process of corresponding index value comprises:
According to the principle of mould eight congruences the index value of said first correlated series is divided into eight groups, and the correlated series value of correspondence 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 every group maximal metric value and corresponding index value thereof;
With the corresponding addition of maximal metric value in the maximal metric value in said first correlated series and second correlated series;
Search the maximal metric value after the addition, and corresponding index value is right.
5. according to any described method among the claim 2-4, it is characterized in that the mean value of the correlation in the said calculating correlated series comprises: the arithmetic mean that calculates correlation in the said correlated series.
6. method according to claim 3 is characterized in that, said maximum related value of searching respectively in first correlated series and second correlated series, and the process of corresponding index value comprises:
Search the maximum related value in said first correlated series, and find its corresponding index value;
Search eight maximums respectively, and find its corresponding index value corresponding to eight group of second correlated series;
From said 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:
The correlated series receiving element is used to receive one group of first correlated series and eight group of second correlated series;
The threshold value acquiring unit is used to obtain the corresponding threshold value of said correlated series;
The peak value processing unit is used for respectively said first correlated series and second correlated series being carried out the peak value processing according to said threshold value, will keep the correlated series value that is not less than said threshold value less than the correlated series value zero setting of said threshold value;
Maximum related value is searched the unit, is used for when all having nonzero value in first correlated series after the said processing and second correlated series, searches the maximum related value in first correlated series and second correlated series respectively, and corresponding index value;
Cell set numbering computing unit is used for calculating the cell set numbering according to said index value.
8. device according to claim 7 is characterized in that, said threshold value acquiring unit comprises:
The first correlated series threshold value acquiring unit is used to calculate the mean value of the correlation in said first correlated series, and carries out N and doubly handle, and obtains the threshold value of first correlated series, and said N is a constant;
The second correlated series threshold value acquiring unit is used for calculating respectively the mean value of the correlation in said eight group of second correlated series, and carries out N and doubly handle, and obtains the threshold value of eight group of second correlated series.
9. device according to claim 8 is characterized in that, said peak value processing unit comprises:
Comparing unit is used for respectively each correlation threshold value corresponding with it of organizing correlated series being compared;
The zero setting unit is used for the correlated series value zero setting less than said threshold value;
Stick unit is used for the correlated series value greater than said threshold value is left initial value.
10. device according to claim 9 is characterized in that, said maximum related value is searched the unit and comprised:
Grouped element is used for according to the principle of mould eight congruences the index value of said first correlated series being divided into eight groups, and the correlated series value of correspondence is divided into eight groups;
The first correlated series maximal metric value is searched the unit, is used for finding out maximal metric value and corresponding index value thereof in every group of said eight group of first correlated series;
The second correlated series maximal metric value is searched the unit, is used for selecting from eight group of second correlated series every group maximal metric value and corresponding index value thereof;
Addition unit is used for the corresponding addition of maximal metric value in the maximal metric value of said first correlated series and second correlated series;
Index is to searching the unit, be used to search the maximal metric value after the addition, and corresponding index value is right.
CN201010275160.9A 2010-08-31 2010-08-31 Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system Active CN102387582B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201010275160.9A CN102387582B (en) 2010-08-31 2010-08-31 Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201010275160.9A CN102387582B (en) 2010-08-31 2010-08-31 Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system

Publications (2)

Publication Number Publication Date
CN102387582A true CN102387582A (en) 2012-03-21
CN102387582B CN102387582B (en) 2014-11-26

Family

ID=45826397

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201010275160.9A Active CN102387582B (en) 2010-08-31 2010-08-31 Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system

Country Status (1)

Country Link
CN (1) CN102387582B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110402552A (en) * 2017-03-15 2019-11-01 摩托罗拉移动有限责任公司 Method and apparatus with the synchronous signal sequence structure for low complex degree cell detection
CN110663204A (en) * 2017-06-16 2020-01-07 摩托罗拉移动有限责任公司 Method and apparatus for establishing a set of multiple synchronization signal sequences for use with one or more communication targets
CN111669340A (en) * 2020-07-03 2020-09-15 全时云商务服务股份有限公司 Transmission bandwidth control method, device, network equipment and readable storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101102149A (en) * 2007-08-10 2008-01-09 中兴通讯股份有限公司 Method for carrying system information in synchronization sequence of mobile system downlink synchronization system
WO2009020878A1 (en) * 2007-08-03 2009-02-12 Qualcomm Incorporated Method and apparatus for determining cell timing in a wireless communication system
CN101719890A (en) * 2009-12-09 2010-06-02 北京天碁科技有限公司 District searching method and d device applied to long-period evolution system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009020878A1 (en) * 2007-08-03 2009-02-12 Qualcomm Incorporated Method and apparatus for determining cell timing in a wireless communication system
CN101102149A (en) * 2007-08-10 2008-01-09 中兴通讯股份有限公司 Method for carrying system information in synchronization sequence of mobile system downlink synchronization system
CN101719890A (en) * 2009-12-09 2010-06-02 北京天碁科技有限公司 District searching method and d device applied to long-period evolution system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
3GPP TS: "《3GPP TS 36.211 V9.1.0》", 31 March 2010 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110402552A (en) * 2017-03-15 2019-11-01 摩托罗拉移动有限责任公司 Method and apparatus with the synchronous signal sequence structure for low complex degree cell detection
CN110663204A (en) * 2017-06-16 2020-01-07 摩托罗拉移动有限责任公司 Method and apparatus for establishing a set of multiple synchronization signal sequences for use with one or more communication targets
CN110663204B (en) * 2017-06-16 2022-06-03 摩托罗拉移动有限责任公司 Method and apparatus for establishing a set of multiple synchronization signal sequences for use with one or more communication targets
CN111669340A (en) * 2020-07-03 2020-09-15 全时云商务服务股份有限公司 Transmission bandwidth control method, device, network equipment and readable storage medium

Also Published As

Publication number Publication date
CN102387582B (en) 2014-11-26

Similar Documents

Publication Publication Date Title
RU2010111780A (en) TWO-PASS HASH EXTRACTING TEXT LINES
CN102999913A (en) Local three-dimensional matching method based on credible point spreading
CN105631519A (en) Convolution nerve network acceleration method based on pre-deciding and system
CN103955518A (en) Method for matching a test object spectrum with database spectrum
CN106021504A (en) Character string fuzzy matching method and apparatus
CN102387582B (en) Detection method and device for cell group numbers of secondary synchronization sequences of LTE (long term evolution) system
CN109035157A (en) A kind of image rain removing method and system based on static rain line
CN104915128A (en) Logo-combined screen unlocking method and device
Grošek et al. On quasigroups with few associative triples
US6658072B1 (en) Digital communication system transmitting and receiving devices therefor and frame synchronization detection circuit
CN105721368B (en) A kind of aliasing digital signal recognition methods and device
CN108112056B (en) Frequency sweeping method and device for user terminal
He et al. An improved binary search algorithm for the Multiple-Choice Knapsack Problem
CN101860415A (en) Blind identification method for coding parameters of extended Golay code of error-tolerant code
CN101867459B (en) Grouping decoding method based on partial interference elimination and receiver
Bogdanova et al. Enumeration of optimal ternary constant-composition codes
US20180278448A1 (en) Signal processing system and method, and apparatus
CN104540044A (en) Video segmentation method and device
CN101917239A (en) Method and system for acquiring cyclic spectrum alpha section based on frequency domain smoothing
Van Den Essen Locally finite and locally nilpotent derivations with applications to polynomial flows, morphisms and 𝒢ₐ-actions. II
US20170154062A1 (en) Data evaluation device using similarity, method therefor, and computer-readable recording medium having the method recorded thereon
CN113177695A (en) Flood scheduling scheme evaluation and selection method and system
Rose et al. Solving incomplete datasets in soft set using supported sets and aggregate values
CN102378188A (en) Composite code correlation evaluation method and equipment
CN109992687A (en) Searching method, device, electronic equipment and the readable storage medium storing program for executing of human face data

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant