CN107181558B - 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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- 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, does down-sampling and filtering processing to data；PSS detection process is completed, including takes field down-sampled data, segmentation correlation is done in 3 groups of primary synchronization signals that frequency domain is from a locally generated, as a result transforms to time domain and take correlation peak, determine field start position and corresponding cell group ID；SSS data are obtained, SSS detection 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 detection and verifying is completed, obtains set of cells B；It merges, obtains final set of cells.The accuracy of cell detection can be improved in the present invention, reduces empty inspection and missing inspection.
Description
Technical field
The present invention relates to wireless communication technology field more particularly to a kind of neighbor cell detecting methods and dress based on LTE system
It sets.
Background technique
LTE (Long Term Evolution system, long term evolution) system is the wireless 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 the prior art executes adjacent area detection, generally using primary synchronization signal (PSS) detection and secondary synchronization signal
(SSS) two steps of detection composition, the cell group ID and half frame starting point for obtaining adjacent area are detected by PSS, are detected by SSS and are obtained adjacent area
Cell group in ID and wireless frame header position, so that it is determined that system adjacent cell information and frame starting point position.It is detected using existing adjacent area
Technology is easily accomplished the detection of the strong adjacent area of signal, and the identical small and weak area in the adjacent area weak for signal, especially mould 3 and mould 6 is very
The case where being easy to appear empty inspection and missing inspection.
Summary of the invention
The purpose of the present invention is to provide a kind of neighbor cell detecting method and device based on LTE system, the solution prior art
There is the problem of empty inspection and missing inspection in adjacent area detection, especially for the missing inspection situation of 6 same cells of mould 3 and mould, the technical solution
It is suitable for TDD-LTE, FDD-LTE system simultaneously.
Technical solution of the present invention provides a kind of neighbor cell detecting method based on LTE system, comprising the following steps:
Step 1, data acquisition and pretreatment, including 2 frame time domain datas are obtained, down-sampling and filtering processing are done to data；
Step 2, PSS detection process is completed, including takes field down-sampled data, it is same in 3 groups of masters that frequency domain is from a locally generated
Step signal does segmentation correlation, as a result transforms to time domain and takes correlation peak, determines field start position and corresponding cell group ID；
Step 3, it is obtained according to PSS in step 2 gained field start position and LTE system with the positional relationship of SSS
SSS data, complete SSS detection 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 detection and verifying is completed, obtains small
Area 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, it is obtained according to PSS in step 2 gained field start position and LTE system with the positional relationship of SSS
Take continuous two fields SSS data；
Step 3.2, SSS detection is done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses the biggish one group of work of the sum of respective channels weight
For SSS testing result, result is stored in set A.
Moreover, executing step 3.2 carries out SSS detection, including following sub-step,
Step 3.2.1, setting the number of iterations are N, and enabling current iteration number is r=1；
Step 3.2.2, if current iteration number r=1, the SSS data that will acquire are the same as the 504*2 group SSS locally generated
Signal does correlation, obtains correlation peak, compares the size of two groups of correlation peaks, determines time frame start position；
If current iteration number r > 1, the SSS data after last iteration interference is eliminated are the same as the 504 groups of SSS locally generated
Signal does correlation, obtains correlation peak；
Step 3.2.3, the correlation peak-to-mean ratio pmr and thresholding th-SSS that will acquire is compared, if pmr meets thresholding and wants
It asks, then enters step 3.2.4；If correlation peak is unsatisfactory for threshold requirement, 3.2.6 is entered step；
Step 3.2.4 saves the cell that this SSS iterative detection obtains, and does SSS channel estimation and interference is eliminated, obtain
SSS signal after interference elimination, and save the channel weight coefficient of this SSS detection；
Step 3.2.5 enables the number of iterations r=r+1, return step 3.2.2, continues to execute SSS correlation peak inspection next time
Survey process, until the number of iterations be greater than N, enter step 3.2.6；
Step 3.2.6 does false detection to the set of cells that SSS iterative detection obtains, to eliminate SSS iterative detection process
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 determining according to PSS and SSS detection, takes a frame time domain data to detect for CRS；
Step 4.2, CRS detection is 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 detection
B。
Moreover, executing step 4.2 carries out CRS detection, including following sub-step,
Step 4.2.1, setting the number of iterations are M, enable current iteration number k=1；
Step 4.2.2 receives the CRS data on symbol 0,168 groups corresponding with cell group 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 requirement, and therefrom selects the best of current iteration
Cell enters step 4.3 if not meeting the correlation peak of threshold requirement；
Step 4.2.4 saves the best cell of this search into set B1, does CRS channel estimation and interference is eliminated, obtain
CRS data after eliminating to interference update the CRS data received on symbol 0；
Step 4.2.5 enables the number of iterations k=k+1, return step 4.2.2, continues to execute CRS correlation peak inspection next time
Survey process, until the number of iterations is greater than M, end CRS iterative detection process.
Moreover, executing step 4.3 to do verifying to set of cells B1 includes following sub-step,
Step 4.3.1 obtains the CRS data on the multiple symbols of a frame data；
The set B1 that CRS is detected is done correlation on multiple symbols that step 4.3.1 is obtained, passed through by step 4.3.2
Thresholding judges that whether effectively the cell ID in set B1, counts effective degree on the symbol；
Step 4.3.3 judges whether the cell ID in set B1 is effective by effective degree, obtains final CRS detection
As a result, deposit set B.
Moreover, being merged by the way of taking union to set of cells A with set of cells B in step 5, obtain final
Set of cells.
The present invention provides a kind of adjacent area detection device based on LTE system, including with lower unit:
Frame data acquiring unit is used for data acquisition and pretreatment, including obtains 2 frame time domain datas, does down and adopts to data
Sample and filtering processing；
PSS detection unit for completing PSS detection process, including takes field down-sampled data, is from a locally generated in frequency domain
3 groups of primary synchronization 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 unit, for according to the same SSS of PSS in field start position obtained by PSS detection unit and LTE system
Positional relationship, obtain SSS data, complete SSS detection and empty inspection is eliminated, obtain set of cells A and frame start position；
CRS detection unit, for obtaining cell reference signals CRS data according to frame start position, complete CRS detection and
Verifying, obtains set of cells B；
Cell determination unit is used for set of cells A obtained by SSS detection unit with set of cells B obtained by CRS detection unit
It merges, obtains final set of cells.
Moreover, it includes following sub-step that SSS detection unit, which executes,
Step 3.1, it is obtained according to PSS in step 2 gained field start position and LTE system with the positional relationship of SSS
Take continuous two fields SSS data；
Step 3.2, SSS detection is done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses the biggish one group of work of the sum of respective channels weight
For SSS testing result, result is stored in set A.
Moreover, it includes following sub-step that CRS detection unit, which executes,
Step 4.1, the frame starting point determining according to PSS and SSS detection, takes a frame time domain data to detect for CRS；
Step 4.2, CRS detection is 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 detection
B。
The present invention provides neighbor cell detecting method and device based on LTE system synchronization signal and cell reference signals, according to
The PSS period is half of radio frames, SSS period in LTE system the characteristics of being a radio frames, common to determine frame starting point position, and
Coherent detection is carried out using SSS and interference elimination method has determined the result of cell portion detection.Further utilize LTE system
The good feature of middle CRS autocorrelation carries out cell detection.It is finally determined and is detected jointly according to SSS signal and CRS signal detection
The final set of cells arrived.The technical solution has been utilized respectively traditional synchronization signal detection mode and cell reference signals not
With the discrepant feature of cell mapping position, set of cells is combination defined, further decreases the probability of false and missing inspection.
Detailed description of the invention
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 figure in the FDD-LTE system of the embodiment of the present invention；
Fig. 2 (b) is PSS and SSS time-domain position relationship map figure in the TDD-LTE system of the embodiment of the present invention；
Fig. 3 is the CRS overhaul flow chart in the neighbor cell detecting method based on LTE system of the embodiment of the present invention；
Fig. 4 is that the CRS testing result in the neighbor cell detecting method based on LTE system of the embodiment of the present invention verifies process
Figure；
Fig. 5 is the apparatus structure block diagram of the embodiment of the present invention.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, below in conjunction with of the invention real
The attached drawing in example is applied, technical solutions in the embodiments of the present application is fully described by, it is clear that the accompanying drawings in the following description is only
It is only the embodiment of the present invention, for those of ordinary skill in the art, without creative efforts, may be used also
To obtain other attached drawings according to the attached drawing of offer.
Referring to Fig. 1, the figure shows the streams of one embodiment of the cell detecting method based on LTE system of the application
Journey.The process specifically includes:
Step 1: obtaining data and pre-processed: obtaining 2 frame time domain datas, down-sampling and filtering processing are done to data.
It realizes cell detection process of the invention, needs to obtain complete frame time domain data.Due to being risen to time domain data frame
Initial point be it is unknown, need just to can determine that by primary synchronization signal PSS and the common blind search of secondary synchronization signal SSS.In embodiment,
Data to be obtained use the frequency sampling of 30.72MHz, and determining starting point value may be any number between 1-302700,
In order to obtain complete 307200 point data of a frame, primary data is at least the data of two continuous frames, so the present invention obtains
The continuous time domain data of two frames.
After obtaining the continuous time series data of two frames, in order to reduce the complexity of PSS detection, need to take half frame length from the beginning
Time domain data, and 16 times of down-samplings and CIC are done to the data and are filtered, pretreated result is sent into step 2 and does PSS inspection
It surveys.
Step 2: carrying out PSS detection, obtain cell group IDWith field start position: field down-sampled data is taken,
3 groups of primary synchronization 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 cell group ID.
Embodiment locally generates the corresponding 3 groups of frequency domains primary synchronization signal PSS in cell group ID=0,1,2 according to LTE standard,
It is related to pre-processing resulting half frame data in step 1 in frequency domain and doing sliding, it is then converted to time domain, obtains 3 groups of time domain peaks
With the position where peak value.The corresponding position of peak value maximum group and cell group ID are chosen as the PSS output detected as a result, in turn
Determine field start position.The content that PSS signal transmits on two fields of a radio frames is identical, and position is fixed, because
Here only need to do the related group ID that can determine PSS and half frame start position to half frame data received.
Step 3: carrying out SSS detection, obtain frame starting point position and set of cells A.
Further, the present invention proposes to use following sub-step:
Step 3.1, it is obtained according to PSS in step 2 gained field start position and LTE system with the positional relationship of SSS
Take continuous two fields SSS data；
Step 3.2, SSS detection is done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses the biggish one group of work of the sum of respective channels weight
For SSS testing result, result is stored in set A.
Preferably, execute step 3.2 carry out SSS detection process the following steps are included:
Step 3.2.1, setting the number of iterations are N, and enabling current iteration number is r=1；
Step 3.2.2, if current iteration number r=1, the SSS data that will acquire are the same as the 504*2 group SSS locally generated
Signal does correlation, obtains two groups of corresponding correlation peaks, compares the size of two groups of correlation peaks, determines time frame start position；
If current iteration number r > 1, the SSS data after last iteration interference is eliminated are the same as 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 that will acquire are compared, if pmr meets thresholding and wants
It asks and (is greater than th-SSS), then enter step 3.2.4；If correlation peak is unsatisfactory for threshold requirement, it is related to jump out SSS iteration
Detection process enters step 3.2.6；When it is implemented, those skilled in the art can emulate previously according to performance requirement determines door
Limit th-SSS；
Step 3.2.4 saves the cell that this SSS iterative detection obtains, and does SSS channel estimation and interference is eliminated, obtain
SSS signal after interference elimination, and save the channel weight coefficient of this SSS detection；
Step 3.2.5, the number of iterations r=r+1, return step 3.2.2 continue to execute SSS correlation peak detection next time
Process, until the number of iterations is greater than N, end SSS iterative detection process enters step 3.2.6；When it is implemented, can change in order
Judge whether r is greater than N after generation number r=r+1, is then return step 3.2.2, otherwise enters step 3.2.6；
Step 3.2.6 does false detection to the set of cells that SSS iterative detection obtains, to eliminate SSS iterative detection process
In false cell, obtain this SSS detection final set of cells.
The above process further improves existing SSS detection, has done false detection twice, has been step 3.2.6 and step respectively
Rapid 3.3.
Embodiment, with the positional relationship of SSS, is obtained according to PSS in step 2 gained field start position and LTE system
SSS data, complete SSS detection and empty inspection is eliminated, and obtain set of cells A and frame start position.Detailed process is as follows for it；
PSS is reflected with SSS signal in the field start position and LTE system obtained according to PSS detection process in step 2
Positional relationship is penetrated, the SSS data of two fields are obtained.The corresponding relationship of PSS and SSS is not in LTE-FDD and LTE-TDD system
Together, referring specifically to Fig. 2 (a) and Fig. 2 (b): mono- 10ms radio frames of LTE (radio frame) include 10 subframes
(Subframe), it is respectively labeled as Subframe0~Subframe9, each subframe includes 2 time slots (Slot), can accordingly be marked
It is denoted as 0~Slot of Slot 19, Fig. 2 (a) indicates that PSS (primary synchronization signal) and SSS (secondary synchronization signal) is at one under fdd mode
Time-frequency location in radio frames, wherein 5Reserved indicates to reserve 5 subcarriers, and 31Subcarriers indicates that synchronization signal accounts for
With most intermediate 31 subcarriers of frequency domain.Fig. 2 (b) indicates that PSS and SSS is in the time-frequency location of a radio frames under tdd mode.Wherein
DwPTS indicates that descending pilot frequency time slot, UpPTS indicate that uplink pilot time slot, GP indicate protection time slot.PSS mapped bits in LTE_FDD
It sets and is fixed on subframe 0 and subframe 5 the last one OFDM (Orthogonal Frequency Division Multiplexing)
On symbol, SSS mapping position is fixed in 5 penultimate OFDM symbol of subframe 0 and subframe；PSS mapping position in LTE_TDD
It is fixed in the 3rd OFDM symbol of subframe 1 and subframe 6, SSS mapping position is fixed on subframe 0 and the last one OFDM of subframe 5 symbol
On number.
The two field SSS data that will acquire respectively are done related to locally generated SSS data, and every half frame data are SSS
Coherent detection process is identical, and data content that SSS signal transmits in continuous two fields is different, does correlation respectively, by than
Compared with select one group of more reliable result as cell detection as a result, do so can eliminate to a certain extent false and fail to report.With
Under introduce SSS coherent detection embodiment detailed process.
(1) setting the number of iterations is N, and enabling current iteration number is r=1.When it is implemented, those skilled in the art can be pre-
The value of N 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 r=1, the SSS data that will acquire do phase with the 504*2 group SSS signal locally generated
It closes, local SSS data are 504 groups generated in subframe 0 respectively and generate in subframe 5 504 groups.Two subframes are obtained after correlation
Corresponding correlation peak compares the size of two correlation peaks, according to the big group of correlation peak, determines and receives belonging to time domain data
Subframe is subframe 0 or subframe 5, to complete the search of frame starting point position；
If current iteration number r > 1, the SSS data after last iteration interference is eliminated are the same as the 504 groups of SSS locally generated
Signal does correlation, obtains correlation peak, and records the corresponding cell ID of peak value.
(3) the corresponding peak-to-average force ratio pmr of correlation peak is calculated, pmr and thresholding th-SSS are compared.If pmr meets door
Limit requirement, then save the cell that this SSS iterative detection obtains, and does SSS channel estimation and interference is eliminated, after obtaining interference elimination
SSS signal, and save this SSS detection channel weight coefficient, into (4)；If pmr is unsatisfactory for threshold requirement, directly
It connects and jumps out SSS coherent detection iterative process, into (5).
(4) the number of iterations r=r+1 is returned SSS coherent detection step (2), continues to execute SSS correlation peak inspection next time
Survey process, until the number of iterations is greater than N, end SSS iterative detection process, into (5).
(5) set of cells obtained to SSS iterative detection does false detection, to eliminate the void during SSS iterative detection
Cell is reported, the final set of cells A of this SSS detection is obtained.The detailed process of false detection is by during coherent detection
Corresponding cell channel weight coefficient, chooses maximum channel weight coefficient and pre-determined threshold calculates a basis of reference, for
The cell that channel weight coefficient meets the basis of reference is considered efficient cell, detects gained as the field time domain data SSS
Set of cells.
After being respectively completed two field SSS coherent detections, two field SSS testing results are compared, half where choosing
Big one group of the sum of frame respective channels weight is used as SSS testing result, and result is stored in set A.
False detection can be all done after every field SSS detection, false inspection is further done finally by two field testing results
It surveys, to effectively inhibit the false report of SSS.
Step 4, according to frame start position, cell reference signals (CRS) data are obtained, CRS detection and verifying is completed, obtains
Set of cells B.
Further, the present invention proposes to use following sub-step:
Step 4.1, the frame starting point determining according to PSS and SSS detection, takes a frame time domain data to detect for CRS；
Step 4.2, CRS detection is 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 detection
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 process that art uses is different, and when executing step 4.2, doing CRS detection process to the data on symbol 0 includes
Following steps:
Step 4.2.1, setting the number of iterations are M, enable current iteration number k=1；When it is implemented, those skilled in the art
The value of M can be preset in member, according to the compromise of performance and complexity, it is proposed that preferably takes the integer less than 10；
Step 4.2.2 receives the CRS data on symbol 0,168 groups corresponding with cell group ID locally generated on symbol 0
CRS data do correlation, obtain correlation peak；
Step 4.2.3 collects correlation peak and meets the set (being greater than CRS thresholding) of CRS threshold requirement, and therefrom selects
The best cell of current iteration is jumped out CRS iterative detection, is entered step if not meeting the correlation peak of threshold requirement
4.3；When it is implemented, those skilled in the art can emulate previously according to performance requirement determines CRS thresholding；
Step 4.2.4 saves the best cell of this search into set B1, does CRS channel estimation and interference is eliminated, obtain
CRS data after eliminating to interference update the CRS data received on symbol 0；
Step 4.2.5, the number of iterations k=k+1, return step 4.2.2 continue to execute CRS correlation peak detection next time
Process, until the number of iterations is greater than M, end CRS iterative detection process.
Present invention further propose that doing the implementation verified to set of cells B1.Preferably, step 4.3 is being executed at this
Set of cells B1 is verified on the multiple symbols for having CRS of frame the following steps are included:
Step 4.3.1 obtains the CRS data on the multiple symbols of a frame data；
The set B1 that CRS is detected is done correlation on multiple symbols that step 4.3.1 is obtained, passed through by step 4.3.2
Thresholding judges that whether effectively the cell ID in set B1, counts effective degree on the symbol；
Step 4.3.3 judges whether the cell ID in set B1 is effective by effective degree, obtains final CRS detection
As a result, deposit set B.
Embodiment obtains a wireless frame data and does CRS detection and verifying, obtains set of cells B, 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, obtain from step 1
Complete frame time domain data is obtained in 2 frame data taken.The CRS data on 0 symbol 0 of radio frames subframe are taken to do CRS inspection first
It surveys, obtains set of cells B1, as shown in Figure 3；Then again by other multiple symbols for having CRS of the frame data to set of cells B1
It verifies, obtains the final set B of CRS detection, as shown in Figure 4.
Referring to Fig. 3, the figure shows the CRS data on 0 symbol 0 of subframe to do CRS testing process.The process specifically include as
Lower process:
1) it is to prepare data first, obtains the CRS data to be detected in 0 subframe 0 of symbol received, it is local to generate subframe
168 groups of CRS data on 0 symbol 0,168 groups of data are caused by the corresponding cell id of cell group ID that PSS is detected
CRS data.
2) CRS iterative detection process is secondly carried out, setting the number of iterations is M, does M CRS iteration coherent detection, iteration mistake
Interference is done to this CRS data to be detected according to the result of current iteration detection in journey to eliminate, and is detected for next iteration.
Detailed process is as follows for iteration coherent detection:
Iteration enables current iteration number k=1 for the first time, and CRS data to be detected are the CRS data received on symbol 0, i.e., from most
In two frame data just inputted, after determining frame starting point, the CRS data on symbol 0 can be directly obtained, the data for changing for the first time
Generation；If non-iteration for the first time, i.e. k > 1, CRS data to be detected are that last iteration interferes 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, related, i.e. frequency domain is done to 168 groups of CRS data locally generated on symbol 0
168 correlations obtain 168 correlation peaks；
The correlation peak-to-mean ratio pmr for calculating correlation peak, it is compared with default CRS thresholding, and collection meets threshold requirement
Set, and the maximum Reference Signal Received Power (RSRP) according to corresponding to set element determine this search best cell
Number；If threshold requirement is not satisfied in pmr obtained by the CRS iterative detection of local, step 2) is jumped out, step 3) is directly entered.
Gained best cell is detected according to this and reconstructs CRS signal, and interference is done to this CRS data to be detected and is eliminated,
Next iteration CRS data to be detected are obtained, the CRS data received on symbol 0 are updated；
After completing current iteration, the number of iterations k=k+1 judges whether r is more than default maximum number of iterations M, if do not had
It is more than, into next iteration detection process；If it exceeds then terminating CRS iteration coherent detection process, into 3).
3) all best cells obtained by iterative process are finally collected, CRS detection set B1 is obtained.
Referring to fig. 4, the figure shows CRS testing results to verify process.Specifically include two data acquisitions, a phase
Verification process is closed, a verification result recording process and a final result determine composition.
Two data acquisitions are respectively completed following function:
For more symbol CRS data acquisitions of verifying, 0 symbol 4 of subframe, 0 symbol 11 of subframe, 2 symbol 4 of subframe, son are obtained
2 symbol 11 of frame, 4 symbol 4 of subframe, 4 symbol 11 of subframe, 6 symbol 4 of subframe, 6 symbol 11 of subframe, 8 symbol 4 of subframe, 8 symbol of subframe
CRS data in 11 this 10 OFDM symbols, for verifying whether CRS testing result on symbol 0 has empty inspection.
The corresponding local CRS data of CRS Preliminary detection result generate, and generate in set of cells B1 obtained by CRS detection process
Local CRS data corresponding to element, it is assumed that have L element in B1.
Associated verification process carries out related calculation to the data of data acquisition module.The L group CRS data difference locally generated
It is done to CRS data on 10 symbols received related, obtains correlation peak, judge that L correlation peak on 10 symbols is
No satisfaction verifies threshold requirement, which takes the thresholding of CRS detection part.
Verification result recording process keeps a record to correlated results of the L element in set B1 on 10 symbols, if
First of cell meets threshold requirement in nth symbol, the validity of first of cell is added 1, wherein l=1,2 ..., L, n
=1,2 ..., 10.
Final result decision process, if the validity of first of cell is greater than preset respective threshold in set of cells B1
(embodiment 3), then it is assumed that the cell is effective, is stored in set B.When it is implemented, default emulation institute can be used in respective threshold
Empirical value is obtained, those skilled in the art can be according to performance requirement sets itself.
Step 5, embodiment merges SSS testing result with CRS testing result, obtains final set of cells.This
In merged by the way of taking union.Since CRS mapping position is related with cell id, if cell id is mould 6, mapping
Position is identical, and if it is mould 3, for the CRS on symbol 0, CRS engaged position is also identical, so the side eliminated using CRS interference
Formula is readily possible to detect the big mould 3 of power difference and 6 cell of mould, so that making up SSS detects mould 3 mould 6 cell weak for power
Missing inspection situation.
Above content describes the neighbor cell detecting method embodiment based on LTE system of the application in detail, when specific implementation
Computer software technology can be used and realize automatic running process, related device can also be provided using modular mode.Correspondingly,
The embodiment for the adjacent area detection device based on LTE system that present invention also provides a kind of, referring to Fig. 5, which includes: frame data
Acquiring unit 101, PSS detection unit 102, SSS detection unit 103, CRS detection unit 104, cell determination unit 105.Its
In:
The present invention provides a kind of adjacent area detection device based on LTE system, including with lower unit:
Frame data acquiring unit is used for data acquisition and pretreatment, including obtains 2 frame time domain datas, does down and adopts to data
Sample and filtering processing；
PSS detection unit for completing PSS detection process, including takes field down-sampled data, is from a locally generated in frequency domain
3 groups of primary synchronization 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 unit, for according to the same SSS of PSS in field start position obtained by PSS detection unit and LTE system
Positional relationship, obtain SSS data, complete SSS detection and empty inspection is eliminated, obtain set of cells A and frame start position；
CRS detection unit, for obtaining cell reference signals CRS data according to frame start position, complete CRS detection and
Verifying, obtains set of cells B；
Cell determination unit is used for set of cells A obtained by SSS detection unit with set of cells B obtained by CRS detection unit
It merges, obtains final set of cells.
Each module specific implementation is corresponding with each step, and it will not go into details by the present invention.
The above is only the specific embodiment of the application, it is noted that for the ordinary skill people of the art
For member, under the premise of not departing from the application principle, several improvement can also be made, these improvement also should be regarded as the application's
Protection scope.
Claims (8)
1. a kind of neighbor cell detecting method based on LTE system, which comprises the following steps:
Step 1, data acquisition and pretreatment, including 2 frame time domain datas are obtained, down-sampling and filtering processing are done to data；
Step 2, PSS detection process is completed, including takes field down-sampled data, in 3 groups of main synchronous letters that frequency domain is from a locally generated
It is related number to do segmentation, as a result transforms to time domain and takes correlation peak, determine field start position and corresponding cell group ID；
Step 3, SSS number is obtained with the positional relationship of SSS according to PSS in step 2 gained field start position and LTE system
According to completion SSS detection and empty inspection elimination obtain set of cells A and frame start position；
Step 3 includes following sub-step,
Step 3.1, according to PSS in step 2 gained field start position and LTE system with the positional relationship of SSS, the company of acquisition
Continue two field SSS data；
Step 3.2, SSS detection is done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses biggish one group of the sum of respective channels weight and is used as SSS
Result is stored in set A by testing result；
Step 4, according to frame start position, cell reference signals CRS data are obtained, CRS detection and verifying is completed, obtains 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
It closes.
2. a kind of neighbor cell detecting method based on LTE system according to claim 1, it is characterised in that: execute step 3.2 into
Row SSS detection, including following sub-step,
Step 3.2.1, setting the number of iterations are N, and enabling current iteration number is r=1；
Step 3.2.2, if current iteration number r=1, the SSS data that will acquire are the same as the 504*2 group SSS signal locally generated
Correlation is done, correlation peak is obtained, compares the size of two groups of correlation peaks, determines time frame start position；
If current iteration number r > 1, the SSS data after last iteration interference is eliminated are the same as the 504 groups of SSS signals locally generated
Correlation is done, correlation peak is obtained；
Step 3.2.3, the correlation peak-to-mean ratio pmr and thresholding th-SSS that will acquire is compared, if pmr meets threshold requirement,
Enter step 3.2.4；If correlation peak is unsatisfactory for threshold requirement, 3.2.6 is entered step；
Step 3.2.4 saves the cell that this SSS iterative detection obtains, and does SSS channel estimation and interference is eliminated, interfered
SSS signal after elimination, and save the channel weight of this SSS detection；
Step 3.2.5 enables the number of iterations r=r+1, return step 3.2.2, continues to execute SSS correlation peak detection mistake next time
Journey, until the number of iterations be greater than N, enter step 3.2.6；
Step 3.2.6 does false detection to the set of cells that SSS iterative detection obtains, during eliminating SSS iterative detection
Cell is made a false report, the final set of cells of this SSS detection is obtained.
3. 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 determining according to PSS and SSS detection, takes a frame time domain data to detect for CRS；
Step 4.2, CRS detection is 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 CRS and detects final set B.
4. a kind of neighbor cell detecting method based on LTE system according to claim 3, it is characterised in that: execute step 4.2 into
Row CRS detection, including following sub-step,
Step 4.2.1, setting the number of iterations are M, enable current iteration number k=1；
Step 4.2.2 receives the CRS data on symbol 0,168 group CRSs corresponding with cell group 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 requirement, and therefrom selects the best cell of current iteration,
If not meeting the correlation peak of threshold requirement, 4.3 are entered step；
Step 4.2.4 saves the best cell of this search into set B1, does CRS channel estimation 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 enables the number of iterations k=k+1, return step 4.2.2, continues to execute CRS correlation peak detection mistake next time
Journey, until the number of iterations is greater than M, end CRS iterative detection process.
5. a kind of neighbor cell detecting method based on LTE system according to claim 3, it is characterised in that: it is right to execute step 4.3
It includes following sub-step that set of cells B1, which does verifying,
Step 4.3.1 obtains the CRS data on the multiple symbols of a frame data；
The set B1 that CRS is detected is done correlation on multiple symbols that step 4.3.1 is obtained, passes through thresholding by step 4.3.2
Judge that whether effectively the cell ID in set B1, counts effective degree on the symbol；
Step 4.3.3 judges whether the cell ID in set B1 is effective by effective degree, obtains final CRS testing result,
It is stored in set B.
6. a kind of according to claim 1 or 2 or 3 or 4 or 5 neighbor cell detecting methods based on LTE system, it is characterised in that:
In step 5, set of cells A is merged by the way of taking union with set of cells B, obtains final cell set
It closes.
7. a kind of adjacent area detection device based on LTE system, which is characterized in that including with lower unit:
Frame data acquiring unit, be used for data acquisition and pretreatment, including obtain 2 frame time domain datas, to data do down-sampling and
Filtering processing；
PSS detection unit for completing PSS detection process, including takes field down-sampled data, 3 be from a locally generated in frequency domain
Group primary synchronization 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 unit is used for according to PSS in field start position obtained by PSS detection unit and LTE system with the position of SSS
Relationship is set, SSS data are obtained, SSS detection is completed and empty inspection is eliminated, obtain set of cells A and frame start position；SSS detection is single
It includes following sub-step that member, which executes,
Step 3.1, according to PSS in step 2 gained field start position and LTE system with the positional relationship of SSS, the company of acquisition
Continue two field SSS data；
Step 3.2, SSS detection is done to two and half frame data respectively；
Step 3.3, two field SSS testing results are compared, chooses biggish one group of the sum of respective channels weight and is used as SSS
Result is stored in set A by testing result；
CRS detection unit, for according to frame start position, obtaining cell reference signals CRS data, completing CRS detection and verifying,
Obtain set of cells B；
Cell determination unit, for being carried out to set of cells A obtained by SSS detection unit with set of cells B obtained by CRS detection unit
Merge, obtains final set of cells.
8. a kind of adjacent area detection device based on LTE system according to claim 7, it is characterised in that: CRS detection unit is held
Row includes following sub-step,
Step 4.1, the frame starting point determining according to PSS and SSS detection, takes a frame time domain data to detect for CRS；
Step 4.2, CRS detection is 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 CRS and detects final set B.
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| CN104754623A (en) * | 2015-03-05 | 2015-07-01 | 京信通信技术(广州)有限公司 | Cell searching method and system based on interference elimination of LTE (Long Term Evolution) system |
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| CN104754623A (en) * | 2015-03-05 | 2015-07-01 | 京信通信技术(广州)有限公司 | Cell searching method and system based on interference elimination of LTE (Long Term Evolution) system |
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