CN107181558A - A kind of neighbor cell detecting method and device based on LTE system - Google Patents
A kind of neighbor cell detecting method and device based on LTE system Download PDFInfo
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- CN107181558A CN107181558A CN201710597923.3A CN201710597923A CN107181558A CN 107181558 A CN107181558 A CN 107181558A CN 201710597923 A CN201710597923 A CN 201710597923A CN 107181558 A CN107181558 A CN 107181558A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
- H04J11/0073—Acquisition of primary synchronisation channel, e.g. detection of cell-ID within cell-ID group
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
- H04J11/0076—Acquisition of secondary synchronisation channel, e.g. detection of cell-ID group
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
- H04J11/0086—Search parameters, e.g. search strategy, accumulation length, range of search, thresholds
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
- H04J11/0093—Neighbour cell search
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Abstract
The present invention provides a kind of neighbor cell detecting method and device based on LTE system, including data acquisition and pretreatment, including obtains 2 frame time domain datas, and down-sampling and filtering process are done to data；PSS detection process is completed, including takes field down-sampled data, 3 groups of master sync signals being from a locally generated in frequency domain do segmentation correlation, as a result transform to time domain and take correlation peak, determine field start position and corresponding small district's groups ID；SSS data are obtained, SSS detections is completed and empty inspection is eliminated, obtain set of cells A and frame start position；According to frame start position, cell reference signals CRS data are obtained, CRS detections is completed and verifies, obtain set of cells B；Merge, obtain final set of cells.The present invention can improve the accuracy of cell detection, the empty inspection of reduction and missing inspection.
Description
Technical field
The present invention relates to wireless communication technology field, more particularly to a kind of neighbor cell detecting method and dress based on LTE system
Put.
Background technology
LTE (Long Term Evolution system, Long Term Evolution) system is the radio communication being widely used at present
System, it includes TDD-LTE (Time Division Duplexing-Long Term Evolution system) and FDD-
LTE (Frequency Division Duplexing-Long Term Evolution system) both of which.
During prior art performs adjacent area detection, typically using master sync signal (PSS) detection and auxiliary synchronous signals
(SSS) two steps of detection composition, the small district's groups ID and half frame starting point for obtaining adjacent area are detected by PSS, and adjacent area is obtained by SSS detections
Small district's groups in ID and wireless frame header position, so that it is determined that system adjacent cell information and frame starting point position.Detected using existing adjacent area
Technology is easily accomplished the detection of the strong adjacent area of signal, for the weak adjacent area of signal, especially mould 3 and the small and weak area of the identical of mould 6 very
Easily there is the situation of empty inspection and missing inspection.
The content of the invention
It is an object of the invention to provide a kind of neighbor cell detecting method and device based on LTE system, prior art is solved
There is the problem of empty inspection and missing inspection in adjacent area detection, especially for mould 3 and the missing inspection situation of the same cells of mould 6, the technical scheme
Simultaneously suitable for TDD-LTE, FDD-LTE system.
Technical scheme provides a kind of neighbor cell detecting method based on LTE system, comprises the following steps：
Step 1, data acquisition and pretreatment, including 2 frame time domain datas are obtained, down-sampling and filtering process are done to data；
Step 2, PSS detection process is completed, including takes field down-sampled data, 3 groups of masters being from a locally generated in frequency domain are same
Step signal does segmentation correlation, as a result transforms to time domain and takes correlation peak, determines field start position and corresponding small district's groups ID；
Step 3, according to step 2 gained field start position, and in LTE system, PSS, with SSS position relationship, is obtained
SSS data, complete SSS detections and empty inspection is eliminated, and obtain set of cells A and frame start position；
Step 4, according to frame start position, cell reference signals CRS data are obtained, CRS detections is completed and verifies, obtain small
Area's set B；
Step 5, step 3 gained set of cells A is merged with step 4 gained set of cells B, obtains final cell
Set.
Moreover, step 3 includes following sub-step,
Step 3.1, according to step 2 gained field start position, and PSS, with SSS position relationship, is obtained in LTE system
Take continuous two fields SSS data；
Step 3.2, SSS detections are done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses one group of larger work of respective channels weight sum
For SSS testing results, result is stored in set A.
Moreover, performing step 3.2 carries out SSS detections, including following sub-step,
Step 3.2.1, setting iterations is N, and it is r=1 to make current iteration number of times；
Step 3.2.2, if current iteration number of times r=1, by the SSS data of acquisition with the 504*2 groups SSS locally generated
Signal does correlation, obtains correlation peak, compares the size of two groups of correlation peaks, determines time domain frame start position；
If current iteration number of times r>1, last iteration is disturbed into the SSS data after eliminating with the 504 groups of SSS locally generated
Signal does correlation, obtains correlation peak；
Step 3.2.3, the correlation peak-to-mean of acquisition is compared than pmr with thresholding th-SSS, if pmr meets thresholding and wanted
Ask, then into step 3.2.4；If correlation peak is unsatisfactory for threshold requirement, into step 3.2.6；
Step 3.2.4, preserves the cell that this SSS iterative detection is obtained, and does SSS channel estimations and interference is eliminated, obtain
SSS signals after interference elimination, and preserve the channel weight coefficient of this SSS detections；
Step 3.2.5, makes iterations r=r+1, return to step 3.2.2, continues executing with SSS correlation peaks inspection next time
Survey process, until iterations is more than N, into step 3.2.6；
Step 3.2.6, false detection is done to the set of cells that SSS iterative detections are obtained, to eliminate SSS iterative detection processes
In false cell, obtain this SSS detection final set of cells.
Moreover, step 4 includes following sub-step,
Step 4.1, the frame starting point determined is detected according to PSS and SSS, takes a frame time domain data to be detected for CRS；
Step 4.2, CRS detections are done to the CRS data on the frame symbol 0, obtains set of cells B1；
Step 4.3, set of cells B1 is verified on the multiple symbols for having CRS of the frame, obtains the final set of CRS detections
B。
Moreover, performing step 4.2 carries out CRS detections, including following sub-step,
Step 4.2.1, setting iterations is M, makes current iteration number of times k=1；
Step 4.2.2, receives the CRS data on symbol 0, corresponding 168 groups with small district's groups ID locally generated on symbol 0
CRS data do correlation, obtain correlation peak；
Step 4.2.3, collects the set that correlation peak meets CRS threshold requirements, and therefrom selects the optimal of current iteration
Cell, if the correlation peak of threshold requirement is not met, into step 4.3；
Step 4.2.4, preserves the best cell of this search into set B1, does CRS channel estimations and interference is eliminated, obtain
CRS data after being eliminated to interference, update the CRS data received on symbol 0；
Step 4.2.5, makes iterations k=k+1, return to step 4.2.2, continues executing with CRS correlation peaks inspection next time
Survey process, until iterations is more than M, terminates CRS iterative detection processes.
Include following sub-step moreover, performing step 4.3 and checking being done to set of cells B1,
Step 4.3.1, obtains the CRS data on the multiple symbols of a frame data；
Step 4.3.2, detects that obtained set B1 does correlation on multiple symbols that step 4.3.1 is obtained by CRS, passes through
Thresholding judges whether the cell ID in set B1 is effective on the symbol, counts effective degree；
Step 4.3.3, judges whether the cell ID in set B1 is effective by effective degree, obtains final CRS detections
As a result, deposit set B.
Moreover, in step 5, being merged to set of cells A with set of cells B by the way of union is taken, obtain final
Set of cells.
The present invention provides a kind of adjacent area detection means based on LTE system, including with lower unit：
Frame data acquiring unit, for data acquisition and pretreatment, including obtains 2 frame time domain datas, data is done down and adopted
Sample and filtering process；
PSS detection units, for completing PSS detection process, including take field down-sampled data, are from a locally generated in frequency domain
3 groups of master sync signals to do segmentation related, as a result transform to time domain and take correlation peak, determine field start position and corresponding small
District's groups ID；
SSS detection units, for the field start position according to obtained by PSS detection units, and the same SSS of PSS in LTE system
Position relationship, obtain SSS data, complete SSS detections and empty inspection is eliminated, obtain set of cells A and frame start position；
CRS detection units, for according to frame start position, obtaining cell reference signals CRS data, complete CRS detections and
Checking, obtains set of cells B；
Cell determining unit, for set of cells A obtained by SSS detection units with set of cells B obtained by CRS detection units
Merge, obtain final set of cells.
Moreover, SSS detection units, which are performed, includes following sub-step,
Step 3.1, according to step 2 gained field start position, and PSS, with SSS position relationship, is obtained in LTE system
Take continuous two fields SSS data；
Step 3.2, SSS detections are done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses one group of larger work of respective channels weight sum
For SSS testing results, result is stored in set A.
Moreover, CRS detection units, which are performed, includes following sub-step,
Step 4.1, the frame starting point determined is detected according to PSS and SSS, takes a frame time domain data to be detected for CRS；
Step 4.2, CRS detections are done to the CRS data on the frame symbol 0, obtains set of cells B1；
Step 4.3, set of cells B1 is verified on the multiple symbols for having CRS of the frame, obtains the final set of CRS detections
B。
The present invention provides neighbor cell detecting method and device based on LTE system synchronizing signal and cell reference signals, according to
The PSS cycles are half radio frames, SSS cycles in LTE system the characteristics of be a radio frames, common to determine frame starting point position, and
Coherent detection is carried out using SSS and interference elimination method determines the result of cell portion detection.Further utilize LTE system
The characteristics of middle CRS autocorrelations are good carries out cell detection.It is final that detection is determined according to SSS signals and CRS signal detections jointly
The final set of cells arrived.The technical scheme has been utilized respectively traditional synchronization signal detection mode, and cell reference signals are not
With the discrepant feature of cell mapping position, set of cells is combination defined, further the probability of reduction false and missing inspection.
Brief description of the drawings
Fig. 1 is the method flow diagram of the embodiment of the present invention；
Fig. 2 (a) is PSS and SSS time-domain position relationship map figures in the FDD-LTE systems of the embodiment of the present invention；
Fig. 2 (b) is PSS and SSS time-domain position relationship map figures in the TDD-LTE system of the embodiment of the present invention；
Fig. 3 is the CRS overhaul flow charts in the neighbor cell detecting method based on LTE system of the embodiment of the present invention；
Fig. 4 is the CRS testing results checking flow in the neighbor cell detecting method based on LTE system of the embodiment of the present invention
Figure；
Fig. 5 is the apparatus structure block diagram of the embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the technical scheme in the present invention, below in conjunction with of the invention real
The accompanying drawing in example is applied, the technical scheme in the embodiment of the present application is fully described by, it is clear that drawings in the following description are only
Only it is embodiments of the invention, for those of ordinary skill in the art, on the premise of not paying creative work, may be used also
To obtain other accompanying drawings according to the accompanying drawing of offer.
Referring to Fig. 1, the figure shows the stream of one embodiment of the cell detecting method based on LTE system of the application
Journey.The flow is specifically included：
Step 1：Obtain data and pre-processed：2 frame time domain datas are obtained, down-sampling and filtering process are done to data.
Realize the cell detection process of the present invention, it is necessary to obtain complete frame time domain data.Due to being risen to time domain data frame
Initial point is unknown, it is necessary to just can determine that by master sync signal PSS and the common blind searches of auxiliary synchronous signals SSS.In embodiment,
Data to be obtained use 30.72MHz frequency sampling, it is determined that starting point value be probably any number between 1-302700,
In order to be able to obtain the complete point data of a frame 307200, primary data is at least the data of two continuous frames, so the present invention is obtained
The continuous time domain data of two frames.
Obtain after the continuous time series data of two frames, in order to reduce the complexity of PSS detections, it is necessary to start anew to take half frame length
Time domain data, and the data are done with 16 times of down-samplings and CIC filtering process, the result feeding step 2 of pretreatment does PSS inspections
Survey.
Step 2：PSS detections are carried out, small district's groups ID is obtainedWith field start position：Field down-sampled data is taken,
3 groups of master sync signals that frequency domain is from a locally generated do segmentation correlation, as a result transform to time domain and take correlation peak, determine half frame starting point
Position and corresponding small district's groups ID.
Embodiment locally generates the corresponding 3 groups of frequency domains master sync signal PSS in small district's groups ID=0,1,2 according to LTE standard,
In frequency domain slip is done to half frame data obtained by pretreatment in step 1 related, be then converted to time domain, obtain 3 groups of time domain peaks
With the position where peak value.Choose peak value maximum and organize the output result that corresponding position and small district's groups ID are detected as PSS, and then
Determine field start position.The content that PSS signals are transmitted on two fields of a radio frames is identical, and position is fixed, because
Here only need half frame data to receiving to be the related group ID and half frame start position that can determine that PSS.
Step 3：SSS detections are carried out, frame starting point position and set of cells A is obtained.
Further, the present invention proposes to use following sub-step：
Step 3.1, according to step 2 gained field start position, and PSS, with SSS position relationship, is obtained in LTE system
Take continuous two fields SSS data；
Step 3.2, SSS detections are done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses one group of larger work of respective channels weight sum
For SSS testing results, result is stored in set A.
Preferably, SSS detection process is carried out in execution step 3.2 to comprise the following steps：
Step 3.2.1, setting iterations is N, and it is r=1 to make current iteration number of times；
Step 3.2.2, if current iteration number of times r=1, by the SSS data of acquisition with the 504*2 groups SSS locally generated
Signal does correlation, obtains two groups of corresponding correlation peaks, compares the size of two groups of correlation peaks, determines time domain frame start position；
If current iteration number of times r>1, last iteration is disturbed into the SSS data after eliminating with the 504 groups of SSS locally generated
Signal does correlation, obtains correlation peak；
Step 3.2.3, correlation peak-to-mean ratio (pmr) and the thresholding th-SSS of acquisition are compared, if pmr meets thresholding and wanted
(i.e. more than th-SSS) is asked, then into step 3.2.4；If correlation peak is unsatisfactory for threshold requirement, SSS iteration is jumped out related
Detection process, into step 3.2.6；When it is implemented, those skilled in the art can determine door previously according to performance requirement emulation
Limit th-SSS；
Step 3.2.4, preserves the cell that this SSS iterative detection is obtained, and does SSS channel estimations and interference is eliminated, obtain
SSS signals after interference elimination, and preserve the channel weight coefficient of this SSS detections；
Step 3.2.5, iterations r=r+1, return to step 3.2.2, continue executing with SSS correlation peak detections next time
Process, until iterations is more than N, terminates SSS iterative detection processes, into step 3.2.6；When it is implemented, can be changed in order
Judge whether r is more than N after generation number r=r+1, be then return to step 3.2.2, otherwise into step 3.2.6；
Step 3.2.6, false detection is done to the set of cells that SSS iterative detections are obtained, to eliminate SSS iterative detection processes
In false cell, obtain this SSS detection final set of cells.
Above flow further improves existing SSS detections, has done false detection twice, has been step 3.2.6 and step respectively
Rapid 3.3.
According to step 2 gained field start position, and in LTE system, PSS, with SSS position relationship, is obtained embodiment
SSS data, complete SSS detections and empty inspection is eliminated, and obtain set of cells A and frame start position.Its detailed process is as follows；
The field start position obtained according to PSS detection process in step 2, and PSS reflects with SSS signals in LTE system
Position relationship is penetrated, the SSS data of two fields are obtained.PSS and SSS corresponding relation is not in LTE-FDD and LTE-TDD systems
Together, referring specifically to Fig. 2 (a) and Fig. 2 (b)：Mono- 10ms radio frames of LTE (radio frame) include 10 subframes
(Subframe) Subframe0~Subframe9, is respectively labeled as, each subframe includes 2 time slots (Slot), can accordingly marked
0~Slot of Slot 19 are designated as, Fig. 2 (a) represents that PSS (master sync signal) and SSS (auxiliary synchronous signals) is at one under fdd mode
Time-frequency location in radio frames, wherein 5Reserved represent reserved 5 subcarriers, and 31Subcarriers represents that synchronizing signal is accounted for
With most middle 31 subcarriers of frequency domain.Fig. 2 (b) represents time-frequency locations of the PSS and SSS in a radio frames under tdd mode.Wherein
DwPTS represents that descending pilot frequency time slot, UpPTS represent that uplink pilot time slot, GP represent to protect time slot.PSS mapped bits in LTE_FDD
Put and be fixed on subframe 0 and subframe 5 last OFDM (Orthogonal Frequency Division Multiplexing)
On symbol, SSS mapping positions are fixed in subframe 0 and the penultimate OFDM symbol of subframe 5；PSS mapping positions in LTE_TDD
It is fixed in the 3rd OFDM symbol of subframe 1 and subframe 6, SSS mapping positions are fixed on subframe 0 and last OFDM symbols of subframe 5
On number.
Two field SSS data of acquisition are done related to locally generated SSS data respectively, every half frame data are SSS
Coherent detection process is identical, and data content that SSS signals are transmitted in continuous two fields is different, and correlation is done respectively, by than
One group of more reliable result is relatively selected as cell detection result, false can be eliminated and fail to report to a certain extent by so doing.With
Under introduce SSS coherent detection embodiment detailed processes.
(1) iterations is set to be N, it is r=1 to make current iteration number of times.When it is implemented, those skilled in the art can be pre-
N value is first set, according to the compromise of performance and complexity, it is proposed that preferably take the integer less than 10.
(2) if current iteration number of times r=1, the SSS data of acquisition are done into phase with the 504*2 group SSS signals locally generated
Close, local SSS data are 504 groups generated on 504 groups and subframe 5 generated in subframe 0 respectively.Two subframes are obtained after correlation
Corresponding correlation peak, compares the size of two correlation peaks, according to the big group of correlation peak, it is determined that receiving belonging to time domain data
Subframe is subframe 0 or subframe 5, so as to complete the search of frame starting point position；
If current iteration number of times r>1, last iteration is disturbed into the SSS data after eliminating with the 504 groups of SSS locally generated
Signal does correlation, obtains correlation peak, and record the corresponding cell ID of peak value.
(3) the corresponding peak-to-average force ratio pmr of correlation peak is calculated, pmr is compared with thresholding th-SSS.If pmr meets door
Limit requirement, then preserve the cell that this SSS iterative detection is obtained, and does SSS channel estimations and interference is eliminated, obtain after interference elimination
SSS signals, and preserve this SSS detection channel weight coefficient, into (4)；If pmr is unsatisfactory for threshold requirement, directly
Connect and jump out SSS coherent detection iterative process, into (5).
(4) iterations r=r+1, returns to SSS coherent detections step (2), continues executing with SSS correlation peaks inspection next time
Survey process, until iterations is more than N, terminates SSS iterative detection processes, into (5).
(5) false detection is done to the set of cells that SSS iterative detections are obtained, to eliminate the void during SSS iterative detections
Cell is reported, the final set of cells A of this SSS detections is obtained.The detailed process of false detection is by during coherent detection
Corresponding cell channel weight coefficient, chooses maximum channel weight coefficient and calculates a basis of reference with pre-determined threshold, for
The cell that channel weight coefficient meets the basis of reference is considered efficient cell, and gained is detected as field time domain data SSS
Set of cells.
It is respectively completed after two field SSS coherent detections, two field SSS testing results is compared, half where chooses
Result is stored in set A by big one group of frame respective channels weight sum as SSS testing results.
False detection can be all done after per field SSS detections, false inspection is further done finally by two field testing results
Survey, so as to effectively suppress SSS false report.
Step 4, according to frame start position, cell reference signals (CRS) data are obtained, CRS detections is completed and verifies, obtain
Set of cells B.
Further, the present invention proposes to use following sub-step：
Step 4.1, the frame starting point determined is detected according to PSS and SSS, takes a frame time domain data to be detected for CRS；
Step 4.2, CRS detections are done to the CRS data on the frame symbol 0, obtains set of cells B1；
Step 4.3, set of cells B1 is verified on the multiple symbols for having CRS of the frame, obtains the final set of CRS detections
B。
It is designed present invention further propose that doing CRS detection process to the data on symbol 0.Preferably, with existing skill
The CRS detection detailed processes that art is used are different, and when performing step 4.2, doing CRS detection process to the data on symbol 0 includes
Following steps：
Step 4.2.1, setting iterations is M, makes current iteration number of times k=1；When it is implemented, people in the art
Member can pre-set M value, according to the compromise of performance and complexity, it is proposed that preferably take the integer less than 10；
Step 4.2.2, receives the CRS data on symbol 0, corresponding 168 groups with small district's groups ID locally generated on symbol 0
CRS data do correlation, obtain correlation peak；
Step 4.2.3, collects correlation peak and meets the set (i.e. more than CRS thresholdings) of CRS threshold requirements, and therefrom select
The best cell of current iteration, if not meeting the correlation peak of threshold requirement, jumps out CRS iterative detections, into step
4.3；When it is implemented, those skilled in the art can determine CRS thresholdings previously according to performance requirement emulation；
Step 4.2.4, preserves the best cell of this search into set B1, does CRS channel estimations and interference is eliminated, obtain
CRS data after being eliminated to interference, update the CRS data received on symbol 0；
Step 4.2.5, iterations k=k+1, return to step 4.2.2, continue executing with CRS correlation peak detections next time
Process, until iterations is more than M, terminates CRS iterative detection processes.
Present invention further propose that doing the implementation verified to set of cells B1.Preferably, step 4.3 is being performed at this
Frame is multiple to be had and does checking to set of cells B1 on CRS symbol and comprise the following steps：
Step 4.3.1, obtains the CRS data on the multiple symbols of a frame data；
Step 4.3.2, detects that obtained set B1 does correlation on multiple symbols that step 4.3.1 is obtained by CRS, passes through
Thresholding judges whether the cell ID in set B1 is effective on the symbol, counts effective degree；
Step 4.3.3, judges whether the cell ID in set B1 is effective by effective degree, obtains final CRS detections
As a result, deposit set B.
Embodiment obtains a wireless frame data and does CRS detections and verify, obtain set of cells B, its detailed process is as follows：
Above-mentioned steps 2 and step 3 combination define frame starting point position, according to known frame starting point position, are obtained from step 1
Complete frame time domain data is obtained in 2 frame data taken.The CRS data on the symbol 0 of radio frames subframe 0 are taken to do CRS inspections first
Survey, obtain set of cells B1, as shown in Figure 3；Then again by the frame data other multiple symbols for having CRS to set of cells B1
Verify, obtain the final set B of CRS detections, as shown in Figure 4.
Referring to Fig. 3, CRS testing processes are done the figure shows the CRS data on the symbol 0 of subframe 0.The flow specifically include as
Lower process：
1) it is to prepare data first, obtains the CRS data to be detected in the subframe 0 of symbol 0 received, locally generate subframe
168 groups of CRS data on 0 symbol 0, produced by 168 groups of data are the obtained corresponding cell ids of small district's groups ID of PSS detections
CRS data.
2) CRS iterative detection processes are secondly carried out, setting iterations is M, does M CRS iteration coherent detection, iteration mistake
The result detected in journey according to current iteration is done interference to this CRS data to be detected and eliminated, for next iteration detection.
Iteration coherent detection detailed process is as follows：
Iteration makes current iteration number of times k=1 first, and CRS data to be detected are to receive the CRS data on symbol 0, i.e., from most
In two frame data just inputted, determine after frame starting point, can directly obtain the CRS data on symbol 0, the data are used to change first
Generation；If non-iteration first, i.e. k>1, CRS data to be detected are that last iteration disturbs the data after eliminating, i.e. last iteration more
The result of the CRS data received on new symbol 0；
By CRS data to be detected on symbol 0, do related to 168 groups of CRS data locally generated on symbol 0, i.e. frequency domain
168 correlations, obtain 168 correlation peaks；
The correlation peak-to-mean of correlation peak is calculated than pmr, it is compared with default CRS thresholdings, collection meets threshold requirement
Set, and maximum Reference Signal Received Power (RSRP) determines the best cell of this search according to corresponding to set element
Number；If pmr obtained by local CRS iterative detections is unsatisfactory for threshold requirement, step 2 is jumped out), it is directly entered step 3).
According to this detection gained best cell reconstruct CRS signals, this CRS data to be detected are done with interference and is eliminated,
Next iteration CRS data to be detected are obtained, the CRS data received on symbol 0 are updated；
Complete after current iteration, iterations k=k+1, judge whether r exceedes default maximum iteration M, if do not had
Exceed, into next iteration detection process；If it exceeds then terminating CRS iteration coherent detection processes, into 3).
3) all best cells obtained by iterative process are finally collected, CRS detection set B1 is obtained.
Referring to Fig. 4, flow is verified the figure shows CRS testing results.Specifically include two data acquisitions, a phase
Verification process is closed, a result recording process and a final result judge composition.
Two data acquisitions are respectively completed following function：
For many symbol CRS data acquisitions of checking, the symbol 4 of subframe 0, the symbol 11 of subframe 0, the symbol 4 of subframe 2, son are obtained
The symbol 11 of frame 2, the symbol 4 of subframe 4, the symbol 11 of subframe 4, the symbol 4 of subframe 6, the symbol 11 of subframe 6, the symbol 4 of subframe 8, the symbol of subframe 8
CRS data in 11 this 10 OFDM symbols, for verifying whether CRS testing results have empty inspection on symbol 0.
In the corresponding local CRS data generation of CRS Preliminary detection results, set of cells B1 obtained by generation CRS detection process
Local CRS data corresponding to element, it is assumed that have L element in B1.
Associated verification process, the data to data acquisition module carry out related calculation.The L group CRS data difference locally generated
Do related to CRS data on 10 symbols received, obtain correlation peak, judge that L correlation peak on 10 symbols is
No to meet checking threshold requirement, the thresholding takes the thresholding of CRS detection parts.
The result recording process, keeps a record to correlated results of the L element in set B1 on 10 symbols, if
L-th of cell meets threshold requirement in nth symbol, adds 1 by the validity of l-th of cell, wherein l=1, and 2 ..., L, n
=1,2 ..., 10.
Final result decision process, if the validity of l-th of cell is more than default respective threshold in set of cells B1
(embodiment is 3), then it is assumed that the cell effectively, is stored in set B.When it is implemented, respective threshold can be using default emulation institute
Empirical value is obtained, those skilled in the art can be according to performance requirement sets itself.
Step 5, embodiment is merged to SSS testing results with CRS testing results, obtains final set of cells.This
In merged by the way of union is taken.Because CRS mapping positions are relevant with cell id, if cell id is mould 6, mapping
Position is identical, if mould 3, for the CRS on symbol 0, and CRS engaged positions are also identical, so disturbing the side eliminated using CRS
Formula is readily possible to detect the big mould 3 of power difference and the cell of mould 6, so as to make up SSS detections for the weak cell of 3 mould of mould 6 of power
Missing inspection situation.
The above describes the neighbor cell detecting method embodiment based on LTE system of the application in detail, during specific implementation
Automatic running flow can be realized using computer software technology, it would however also be possible to employ modular mode provides related device.Correspondingly,
Present invention also provides a kind of embodiment of the adjacent area detection means based on LTE system, referring to Fig. 5, the device includes：Frame data
Acquiring unit 101, PSS detection units 102, SSS detection units 103, CRS detection units 104, cell determining unit 105.Its
In：
The present invention provides a kind of adjacent area detection means based on LTE system, including with lower unit：
Frame data acquiring unit, for data acquisition and pretreatment, including obtains 2 frame time domain datas, data is done down and adopted
Sample and filtering process；
PSS detection units, for completing PSS detection process, including take field down-sampled data, are from a locally generated in frequency domain
3 groups of master sync signals to do segmentation related, as a result transform to time domain and take correlation peak, determine field start position and corresponding small
District's groups ID；
SSS detection units, for the field start position according to obtained by PSS detection units, and the same SSS of PSS in LTE system
Position relationship, obtain SSS data, complete SSS detections and empty inspection is eliminated, obtain set of cells A and frame start position；
CRS detection units, for according to frame start position, obtaining cell reference signals CRS data, complete CRS detections and
Checking, obtains set of cells B；
Cell determining unit, for set of cells A obtained by SSS detection units with set of cells B obtained by CRS detection units
Merge, obtain final set of cells.
Each module implement it is corresponding with each step, the present invention it will not go into details.
Described above is only the embodiment of the application, it is noted that for the ordinary skill people of the art
For member, on the premise of the application principle is not departed from, some improvement can also be made, these improvement also should be regarded as the application's
Protection domain.
Claims (10)
1. a kind of neighbor cell detecting method based on LTE system, it is characterised in that comprise the following steps：
Step 1, data acquisition and pretreatment, including 2 frame time domain datas are obtained, down-sampling and filtering process are done to data；
Step 2, PSS detection process is completed, including takes field down-sampled data, 3 groups of main synchronous letters being from a locally generated in frequency domain
Number do segmentation related, as a result transform to time domain and take correlation peak, determine field start position and corresponding small district's groups ID；
Step 3, according to step 2 gained field start position, and in LTE system, PSS, with SSS position relationship, obtains SSS numbers
According to completion SSS detections and empty inspection elimination obtain set of cells A and frame start position；
Step 4, according to frame start position, cell reference signals CRS data are obtained, CRS detections is completed and verifies, obtain cell set
Close B；
Step 5, step 3 gained set of cells A is merged with step 4 gained set of cells B, obtains final cell set
Close.
2. a kind of neighbor cell detecting method based on LTE system according to claim 1, it is characterised in that：Step 3 includes following
Sub-step,
Step 3.1, according to step 2 gained field start position, and in LTE system PSS with SSS position relationship, obtain connect
Continue two field SSS data；
Step 3.2, SSS detections are done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses larger one group of respective channels weight sum and be used as SSS
Testing result, result is stored in set A.
3. a kind of neighbor cell detecting method based on LTE system according to claim 2, it is characterised in that：Step 3.2 is performed to enter
Row SSS is detected, including following sub-step,
Step 3.2.1, setting iterations is N, and it is r=1 to make current iteration number of times；
Step 3.2.2, if current iteration number of times r=1, by the SSS data of acquisition with the 504*2 group SSS signals locally generated
Correlation is done, correlation peak is obtained, compares the size of two groups of correlation peaks, time domain frame start position is determined；
If current iteration number of times r>1, last iteration is disturbed into the SSS data after eliminating with the 504 groups of SSS signals locally generated
Correlation is done, correlation peak is obtained；
Step 3.2.3, the correlation peak-to-mean of acquisition is compared than pmr with thresholding th-SSS, if pmr meets threshold requirement,
Into step 3.2.4；If correlation peak is unsatisfactory for threshold requirement, into step 3.2.6；
Step 3.2.4, preserves the cell that this SSS iterative detection is obtained, and does SSS channel estimations and interference is eliminated, disturbed
SSS signals after elimination, and preserve the channel weight coefficient of this SSS detections；
Step 3.2.5, makes iterations r=r+1, return to step 3.2.2, continues executing with SSS correlation peak detections mistake next time
Journey, until iterations is more than N, into step 3.2.6；
Step 3.2.6, false detection is done to the set of cells that SSS iterative detections are obtained, with during eliminating SSS iterative detections
Cell is made a false report, the final set of cells of this SSS detections is obtained.
4. a kind of neighbor cell detecting method based on LTE system according to claim 1, it is characterised in that：Step 4 includes following
Sub-step,
Step 4.1, the frame starting point determined is detected according to PSS and SSS, takes a frame time domain data to be detected for CRS；
Step 4.2, CRS detections are done to the CRS data on the frame symbol 0, obtains set of cells B1；
Step 4.3, set of cells B1 is verified on the multiple symbols for having CRS of the frame, obtains the final set B of CRS detections.
5. a kind of neighbor cell detecting method based on LTE system according to claim 4, it is characterised in that：Step 4.2 is performed to enter
Row CRS is detected, including following sub-step,
Step 4.2.1, setting iterations is M, makes current iteration number of times k=1；
Step 4.2.2, receives the CRS data on symbol 0,168 group CRS corresponding with small district's groups ID locally generated on symbol 0
Data do correlation, obtain correlation peak；
Step 4.2.3, collects the set that correlation peak meets CRS threshold requirements, and the therefrom best cell of selection current iteration,
If the correlation peak of threshold requirement is not met, into step 4.3；
Step 4.2.4, preserves the best cell of this search into set B1, does CRS channel estimations and interference is eliminated, done
The CRS data after eliminating are disturbed, the CRS data received on symbol 0 are updated；
Step 4.2.5, makes iterations k=k+1, return to step 4.2.2, continues executing with CRS correlation peak detections mistake next time
Journey, until iterations is more than M, terminates CRS iterative detection processes.
6. a kind of neighbor cell detecting method based on LTE system according to claim 4, it is characterised in that：Perform step 4.3 pair
Set of cells B1, which does checking, includes following sub-step,
Step 4.3.1, obtains the CRS data on the multiple symbols of a frame data；
Step 4.3.2, detects that obtained set B1 does correlation on multiple symbols that step 4.3.1 is obtained by CRS, passes through thresholding
Judge that whether effectively the cell ID in set B1, counts effective degree on the symbol；
Step 4.3.3, is judged whether the cell ID in set B1 is effective by effective degree, obtains final CRS testing results,
It is stored in set B.
7. a kind of neighbor cell detecting method based on LTE system according to claim 1 or 2 or 3 or 4 or 5 or 6, its feature exists
In：In step 5, set of cells A is merged with set of cells B by the way of union is taken, final set of cells is obtained.
8. a kind of adjacent area detection means based on LTE system, it is characterised in that including with lower unit：
Frame data acquiring unit, for data acquisition and pretreatment, including obtains 2 frame time domain datas, data are done down-sampling and
Filtering process；
PSS detection units, for completing PSS detection process, including take field down-sampled data, 3 be from a locally generated in frequency domain
Group master sync signal does segmentation correlation, as a result transforms to time domain and takes correlation peak, determines field start position and corresponding cell
Group ID；
SSS detection units, for the field start position according to obtained by PSS detection units, and positions of the PSS with SSS in LTE system
Relation is put, SSS data are obtained, SSS detections is completed and empty inspection is eliminated, obtain set of cells A and frame start position；
CRS detection units, for according to frame start position, obtaining cell reference signals CRS data, complete CRS detections and verify,
Obtain set of cells B；
Cell determining unit, for being carried out to set of cells A obtained by SSS detection units with set of cells B obtained by CRS detection units
Merge, obtain final set of cells.
9. a kind of adjacent area detection means based on LTE system according to claim 8, it is characterised in that：SSS detection units are held
Row includes following sub-step,
Step 3.1, according to step 2 gained field start position, and in LTE system PSS with SSS position relationship, obtain connect
Continue two field SSS data；
Step 3.2, SSS detections are done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses larger one group of respective channels weight sum and be used as SSS
Testing result, result is stored in set A.
10. a kind of adjacent area detection means based on LTE system according to claim 8 or claim 9, it is characterised in that：CRS detections are single
Member, which is performed, includes following sub-step,
Step 4.1, the frame starting point determined is detected according to PSS and SSS, takes a frame time domain data to be detected for CRS；
Step 4.2, CRS detections are done to the CRS data on the frame symbol 0, obtains set of cells B1；
Step 4.3, set of cells B1 is verified on the multiple symbols for having CRS of the frame, obtains the final set B of CRS detections.
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