CN100589335C - Method and device for confirming the disturbance code relativity in the code division multi-address system - Google Patents
Method and device for confirming the disturbance code relativity in the code division multi-address system Download PDFInfo
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- CN100589335C CN100589335C CN200710091170A CN200710091170A CN100589335C CN 100589335 C CN100589335 C CN 100589335C CN 200710091170 A CN200710091170 A CN 200710091170A CN 200710091170 A CN200710091170 A CN 200710091170A CN 100589335 C CN100589335 C CN 100589335C
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Abstract
The invention supplies a method to determine harass code relevancy in the code division multiple access (CDMA) system and its equipment, among, the method includes: calculates the compound wide frequency harass code of each harass code; calculates the circular correlation of the compound wide frequency harass in two harass code, obtains 961 entries 16 values long related sequences; according to maximum value appearance position in the states correlation sequence, calculates the average maximum value of the 961 entries correlation sequence; in view of each related sequence in first five and thelatter four elements, computes the mean value to obtain the element average value, calculates the mean value of the 961 entries element average value to obtain the sum element average value; The average maximum value and the sum element average value carry on weighting addition, obtains the two code relevant correlative value. The amount of invention calculation is small, only need one-off calculates and the preservates, the invention is one kind the symbol mutually disturbs with between the network in and various plotsactually tallies, complex is small, also the convenient measuremethod.
Description
Technical field
The present invention relates to the scrambler resource distribution technique in the field of mobile communication, particularly relate to a kind of method and device of in code division multiple access system, determining the scrambler correlation.
Background technology
In TD-SCDMA (TD SDMA) system, there is different code character configurations different sub-districts, the cell code configuration set is meant the peculiar code character in those sub-districts (the sub-district code character comprises ascending pilot frequency sign indicating number, downlink frequency pilot code, basic Midamble (middle trained sequence) sign indicating number and scrambler in the TD-SCDMA system), and different adjacent cells will dispose different code characters.Because the data that receiving terminal receives are except the code character data that contain this sub-district, the code character data that also have other sub-districts, so just introduced adjacent area interference, interference between different code words varies in size, therefore be necessary to study the phase mutual interference between code word, make the code word interference of system group network minizone reduce to minimum to obtain a kind of more excellent code character allocation plan.That is to say, if solve sign indicating number resource scarcity, raising power system capacity, obtain more excellent code assignment scheme, then the matter of utmost importance that will solve is the correlation of how estimating in CDMA (code division multiple access) cellular system between code word.
Summary of the invention
The purpose of this invention is to provide a kind of method and device of in code division multiple access system, determining the scrambler correlation, solve the technical problem that prior art does not also provide the evaluation method of correlation between ripe code word.
To achieve these goals, the invention provides a kind of method of in code division multiple access system, determining the scrambler correlation, wherein, comprise the steps:
Step 1 is calculated the compound spread spectrum scrambler of each scrambler;
Step 2 is determined two scramblers of correlation at needs, calculates the circular correlation between the compound spread spectrum scrambler of described two scrambler correspondences, obtains 961 the 16 long correlated serieses of values;
Step 3 according to the peaked position that occurs in the long correlated series of described 16 values, is calculated the average maximum of 961 described correlated serieses;
Step 4, at the first five individual and back four element in the long correlated series of each 16 value, calculating mean value obtains the element average of described correlated series, and the described element mean of mean of calculating 961 described correlated serieses obtains total element average;
Step 5 is weighted addition with described average maximum and described total element average, obtains reflecting the correlation of described two scrambler correlations.
Above-mentioned method wherein, also comprises: step 6, calculate all scramblers described correlation between any two, and carry out the numerical basis that scrambler distributes during as the code division multiple access system networking.
Above-mentioned method wherein, in described step 1, obtains described compound spread spectrum scrambler by scrambler and 31 spreading codes are multiplied each other.
Above-mentioned method, wherein, described step 3 comprises:
Step a, the maximum of each described correlated series during the compound spread spectrum scrambler alignment of calculating described two scrambler correspondences, 961 maximum max_vlaue0 when obtaining aliging;
Step b, the time delay of compound spread spectrum scrambler of calculating described two scrambler correspondences ± 1, ± 2, ± 3, ± maximum of each described correlated series during 4 chips, obtain time delay at 961 maximum max_vlaue1 of ± 1 o'clock, time delay at 961 maximum max_vlaue2 of ± 2 o'clock, time delay at 961 maximum max_vlaue3 of ± 3 o'clock, time delay 961 maximum max_vlaue4 at ± 4 o'clock;
Step c, the value in 961 maximums of statistics max_vlaue0 is 4,8,12,16 number, is designated as n
4 0, n
8 0, n
12 0, n
16 0
Steps d is added up value among max_vlaue1, max_vlaue2, max_vlaue3, the max_vlaue4 respectively and is 4,8,12,16 number, is designated as n
4 1, n
8 1, n
12 1, n
16 1, n
4 0, n
8 2, n
12 2, n
16 2, n
4 3, n
8 3, n
12 3, n
16 3, n
4 4, n
8 4, n
12 4, n
16 4
Step e calculates n
4 0, n
8 0, n
12 0, n
16 0, n
4 1, n
8 1, n
12 1, n
16 1, n
4 2, n
8 2, n
12 2, n
16 2, n
4 3, n
8 3, n
12 3, n
16 3, n
4 4, n
8 4, n
12 4, n
16 4Weighted average, obtain the average maximum of described correlated series.
Above-mentioned method wherein, in the described step 5, describedly average peakedly is weighted to 0.6, described total element average be weighted to 0.4.
Above-mentioned method, wherein, described code division multiple access system is a TDS-CDMA system.
Above-mentioned method, wherein, described code division multiple access system is TDD-CDMA system or synchronization code multi-address division system.
In order to realize purpose of the present invention, the present invention also provides a kind of device of determining the scrambler correlation in code division multiple access system, and wherein, comprising: compound spread spectrum scrambler module is used for: the compound spread spectrum scrambler that calculates each scrambler; The correlated series module is used for: determine two scramblers of correlation at needs, calculate the circular correlation between the compound spread spectrum scrambler of described two scrambler correspondences, obtain 961 the 16 long correlated serieses of values; Average maximum module is used for: according in the peaked position that occurs of the long correlated series of described 16 values, calculate the average maximum of 961 described correlated serieses; Total element average module, be used for: at the first five individual and back four element of the long correlated series of each 16 value, calculating mean value obtains the element average of described correlated series, and the described element mean of mean of calculating 961 described correlated serieses obtains total element average; The correlation module is used for: described average maximum and described total element average are weighted addition, obtain reflecting the correlation of described two scrambler correlations.
Above-mentioned device wherein, in described correlation module, describedly average peakedly is weighted to 0.6, described total element average be weighted to 0.4.
Above-mentioned device, wherein, described code division multiple access system is TDS-CDMA system, TDD-CDMA system or synchronization code multi-address division system.
The invention has the advantages that:
The present invention proposes the method that TD-SCDMA system cell code word correlation is estimated in conjunction with TD-SCDMA communication system code word characteristics.This method amount of calculation is little, only need disposable the result be calculated and preserve.Because this evaluation method is come out to the characteristic of all spread spectrum compound keys a scrambler by a numerical representation method,, be 128 * 128 dimension matrixes so the dimension of the scrambler cross-correlation table of storage is little.Networking scrambler allocative decision can directly be looked into this and show in the system.Therefore this is that a kind of network neutralizes that each minizone code word phase mutual interference actually conforms to, complexity is little and measure easily.
Description of drawings
Fig. 1 is the flow chart of steps of the inventive method.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, describe the present invention below in conjunction with the accompanying drawings and the specific embodiments.
The present invention mainly provides a kind of TD-SCDMA system scrambler correlation evaluation method.After analyzing the correlated results of TD-SCDMA all yards of mobile communication system to the code word of the compound scrambler of all spread spectrums, provided the right cross-correlation evaluation of estimate of all yards, the distribution of scrambler provides numerical basis during for the TD-SCDMA system group network, thereby reduces the interference of minizone.The present invention can also be used for moving communicating field all cdma systems, particularly TDD-CDMA (time-division duplex) system and all SCDMA (S-CDMA) systems.
Defined 128 scramblers in the TD-SCDMA system altogether, each scrambler length is 16, is divided into 32 groups, and 4 every group, group number is from 0～127.For a scrambler to, scrambler of a cell allocation can have different spreading factors according to different business in the sub-district.All spreading factors (SF=1,2,4,8,16) are counted and are had 31 spreading codes after multiply by complex-valued weights.
Interference between the different code channels of different districts is relevant with the product SC of scrambler and spreading code, and the decision systems performance is the correlation of compound spread spectrum scrambler rather than the correlation between simple scrambler in the networking, therefore needs to analyze compound spread spectrum scrambler SC
I, kWith compound spread spectrum scrambler SC
J, kCircular correlation characteristic corr_value (i, j, k * m, 16), k=1 ... 31, m=1 ... 31, for a scrambler to (i, j) total 31*31=961 corr_value, each corr_value are that length is 16 by the circular correlation sequence of the compound spread spectrum scrambler of compound spread spectrum scrambler of cell i and sub-district j.And make an interpretational criteria of estimating scrambler to correlation according to this correlated results, finally obtain a cross-correlation evaluation of estimate.
Fig. 1 is the flow chart of steps of the inventive method, and as figure, the concrete steps of scrambler cross correlation evaluation method of the present invention are as follows:
Step 101 is calculated the compound spread spectrum scrambler of each scrambler;
Step 102 is determined two scramblers of correlation at needs, calculates the circular correlation between the compound spread spectrum scrambler of described two scrambler correspondences, obtains 961 the 16 long correlated serieses of values;
Step 103 according to the peaked position that occurs in the long correlated series of described 16 values, is calculated the average maximum of 961 described correlated serieses;
Step 104, at the first five individual and back four element in the long correlated series of each 16 value, calculating mean value obtains the element average of described correlated series, and the described element mean of mean of calculating 961 described correlated serieses obtains total element average;
Step 105 is weighted addition with described average maximum and described total element average, obtains reflecting the correlation of described two scrambler correlations.
Below each concrete steps is described in detail:
Step 101 is calculated the compound spread spectrum scrambler of each scrambler.
After multiplying each other, scrambler i and 31 spreading codes have 31 compound spread spectrum scrambler SC
I, k, same, after multiplying each other, scrambler j and 31 spreading codes have 31 compound spread spectrum scrambler SC
J, k:
SC
i，k＝Sr
i×C
k，k＝1…31，i＝1…128，
SC
j，k＝Sr
j×C
k，k＝1…31，j＝1…128
Step 102, the circular correlation of calculating all spread spectrum scrambler compound keys of a pair of spreading code.
Each scrambler to (i j) has 961 combinations with 31 spreading codes compound spread spectrum scrambler that obtains that multiplies each other respectively, and the circular correlation of each combination is 16 value sequences, as shown in the formula:
Step 103 is calculated the peaked mean value of all spread spectrum scrambler compound keys of a pair of scrambler.
Maximum is that scrambler is to (i, the maximum of the correlated series of 16 length of k, m j) spread spectrum scrambler compound key circular correlation.The position that maximum occurs and 961 maximum factors all need be included in to estimate and consider.
This step can comprise the following steps: again
1) calculates two spread spectrum scrambler compound key SC
I, kAnd SC
J, kAlignment, time delay ± 1, ± 2, ± 3, ± maximum correlation of 4 chips (chip).
max_vlaue0(i，j，k×m)＝max{corr_value(i，j，k，m，l)，l＝1}
max_vlaue1(i，j，k×m)＝max{corr_value(i，j，k，m，l)，l＝2，16}
max_vlaue2(i，j，k×m)＝max{corr_value(i，j，k，m，l)，l＝3，15}
max_vlaue3(i，j，k×m)＝max{corr_value(i，j，k，m，l)，l＝4，14}
max_vlaue4(i，j，k×m)＝max{corr_value(i，j，k，m，l)，l＝5，13}
2) since the possible value of 16 correlations be 0,4,8,12,16}, 961 maximums among max_vlaue0, max_vlaue1, max_vlaue2, max_vlaue3, the max_vlaue4 are equaled 4,8,12,16 number and come out, be respectively n
4 0, n
8 0, n
12 0, n
16 0, n
4 1, n
8 1, n
12 1, n
16 1, n
4 2, n
8 2, n
12 2, n
16 2, n
4 3, n
8 3, n
12 3, n
16 3, n
4 4, n
8 4, n
12 4, n
16 4, n wherein
12 0=max_vlaue0 (i, j, g)=12, g=1 ... 961} promptly equals 12 number in 961 maximums among the max_vlaue0; n
16 0=max_vlaue0 (i, j, g)=16, g=1 ... 961} promptly equals 16 number in 961 maximums among the max_vlaue0; The rest may be inferred for other.
3) weighting allocates all.
n
16 k, k=1 ... the number that k value of 4 961 16 value sequences of expression equals 16, α
16, k, k=1 ... 4 expression n
16 k, k=1 ... pairing weight coefficient during 4 weighted sums, β
16Expression 16 value correlated series intermediate values are 16 weight.According to each characteristic of sub-district in the system and user, when the scrambler relevance score is calculated, α, the value example of β is as follows:
α
16，0＝2，α
16，1＝2，α
16，2＝2，α
16，3＝1，α
16，4＝1，
α
12，0＝2，α
12，1＝1，α
12，2＝1，
α
8，k＝0，α
4，k＝0，k＝1，…，5
β
16＝1.5，β
12＝1，β
8＝0，β
4＝0，
Step 104, preceding 5 elements of 961 16 value sequences and the average of back 4 element averages;
m＝1…31，k＝1…31
Step 105, again with the above two weightings (weight w 1, w2) value of addition is as weighing scrambler to (i, the correlation of correlation j);
R(i，j)＝w1×mean_max_vlaue(i，j)+w2×mean_mean_vlaue(i，j)，
i，j＝1…128
The value example of w1 and w2 is as follows:
w1＝0.6，w2＝0.4，
Have R (i, j)=0.6 * mean_max_vlaue (i, j)+0.4 * mean_mean_vlaue (i, j), i, j=1 ... 128
The present invention proposes the method that TD-SCDMA system cell code word correlation is estimated in conjunction with TD-SCDMA communication system code word characteristics.This method amount of calculation is little, only need disposable the result be calculated and preserve.Because this evaluation method is come out to the characteristic of all spread spectrum compound keys a scrambler by a numerical representation method, so the dimension of the scrambler cross-correlation table of storage is little.Networking scrambler allocative decision can directly be looked into this and show in the system.Therefore this is that a kind of network neutralizes that each minizone code word phase mutual interference actually conforms to, complexity is little and measure easily.
The present invention is applicable to the TD-SCDMA system, and any have a signal processing, and the engineer of knowledge background such as communication can design corresponding algorithm according to the present invention, and it all should be included in thought of the present invention and the scope.Therefore; the above only is a preferred implementation of the present invention, for those skilled in the art, and under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. a method of determining the scrambler correlation in code division multiple access system is characterized in that, comprises the steps:
Step 1 is calculated the compound spread spectrum scrambler of each scrambler;
Step 2 is determined two scramblers of correlation at needs, calculates the circular correlation between the compound spread spectrum scrambler of described two scrambler correspondences, obtains 961 the 16 long correlated serieses of values;
Step 3 according to the peaked position that occurs in the long correlated series of described 16 values, is calculated the average maximum of 961 described correlated serieses;
Step 4, at the first five individual and back four element in the long correlated series of each 16 value, calculating mean value obtains the element average of described correlated series, and the described element mean of mean of calculating 961 described correlated serieses obtains total element average;
Step 5 is weighted addition with described average maximum and described total element average, obtains reflecting the correlation of described two scrambler correlations.
2. method according to claim 1 is characterized in that, also comprises: step 6, calculate all scramblers described correlation between any two, and carry out the numerical basis that scrambler distributes during as the code division multiple access system networking.
3. method according to claim 1 is characterized in that, in described step 1, obtains described compound spread spectrum scrambler by scrambler and 31 spreading codes are multiplied each other.
4. according to claim 1,2 or 3 described methods, it is characterized in that described step 3 comprises:
Step a, the maximum of each described correlated series during the compound spread spectrum scrambler alignment of calculating described two scrambler correspondences, 961 maximum max_vlaue0 when obtaining aliging;
Step b, the time delay of compound spread spectrum scrambler of calculating described two scrambler correspondences ± 1, ± 2, ± 3, ± maximum of each described correlated series during 4 chips, obtain time delay at 961 maximum max_vlaue1 of ± 1 o'clock, time delay at 961 maximum max_vlaue2 of ± 2 o'clock, time delay at 961 maximum max_vlaue3 of ± 3 o'clock, time delay 961 maximum max_vlaue4 at ± 4 o'clock;
Step c, the value in 961 maximums of statistics max_vlaue0 is 4,8,12,16 number, is designated as n
4 0, n
8 0, n
12 0, n
16 0
Steps d is added up value among max_vlaue1, max_vlaue2, max_vlaue3, the max_vlaue4 respectively and is 4,8,12,16 number, is designated as n
4 1, n
8 1, n
12 1, n
16 1, n
4 2, n
8 2, n
12 2, n
16 2, n
4 3, n
8 3, n
12 3, n
16 3, n
4 4, n
8 4, n
12 4, n
16 4
Step e calculates n
4 0, n
8 0, n
12 0, n
16 0, n
4 1, n
8 1, n
12 1, n
16 1, n
4 2, n
8 2, n
12 2, n
16 2, n
4 3, n
8 3, n
12 3, n
16 3, n
4 4, n
8 4, n
12 4, n
16 4Weighted average, obtain the average maximum of described correlated series.
5. method according to claim 4 is characterized in that, in the described step 5, describedly average peakedly is weighted to 0.6, described total element average be weighted to 0.4.
6. method according to claim 4 is characterized in that, described code division multiple access system is a TDS-CDMA system.
7. method according to claim 4 is characterized in that, described code division multiple access system is TDD-CDMA system or synchronization code multi-address division system.
8. a device of determining the scrambler correlation in code division multiple access system is characterized in that, comprising:
Compound spread spectrum scrambler module is used for: the compound spread spectrum scrambler that calculates each scrambler;
The correlated series module is used for: determine two scramblers of correlation at needs, calculate the circular correlation between the compound spread spectrum scrambler of described two scrambler correspondences, obtain 961 the 16 long correlated serieses of values;
Average maximum module is used for: according in the peaked position that occurs of the long correlated series of described 16 values, calculate the average maximum of 961 described correlated serieses;
Total element average module, be used for: at the first five individual and back four element of the long correlated series of each 16 value, calculating mean value obtains the element average of described correlated series, and the described element mean of mean of calculating 961 described correlated serieses obtains total element average;
The correlation module is used for: described average maximum and described total element average are weighted addition, obtain reflecting the correlation of described two scrambler correlations.
9. device according to claim 8 is characterized in that, in described correlation module, describedly average peakedly is weighted to 0.6, described total element average be weighted to 0.4.
10. device according to claim 8 is characterized in that, described code division multiple access system is TDS-CDMA system, TDD-CDMA system or synchronization code multi-address division system.
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