CN110149656B - Wireless signal coverage test method and device - Google Patents
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Abstract
The invention discloses a wireless signal coverage test method and a device, after receiving original baseband data of a 20ms 5G NR network with a sampling rate of 122.88M, carrying out 32 times of down-sampling processing on the original baseband data to generate first data with a sampling rate of 3.84M; carrying out PSS time domain fast correlation detection on the first data to determine the index and the synchronous position of the PSS; obtaining the SSB after the first frequency offset compensation according to the synchronous position of the PSS; determining SSS to be detected from the SSB after the first frequency offset compensation according to the synchronization position of the PSS; SSS frequency domain correlation detection is carried out on the SSS to be detected, and the received SSS index and cell PCI detection result are determined; determining the synchronous position of the SSB according to the detected SSS; obtaining the SSB after the second frequency offset compensation according to the detected time domain initial position of the SSS; measuring the detected SSS based on the SSB after the second frequency offset compensation to obtain a measurement result; and finally, reporting the cell PCI detection result, the SSB synchronous position and the measurement result. The method and the device are suitable for wireless signal coverage test of the 5G network.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for testing wireless signal coverage.
Background
5G (the 5th Generation mobile communication technology, fifth Generation mobile communication technology) is the next Generation wireless communication technology to be introduced to meet the demand of future mobile communication. Compared with a 4G (the 4th Generation Mobile Communication technology, fourth Generation Mobile Communication technology) network adopting a conventional LTE (Long Term Evolution) technology, a 5G network adopts a New air interface (NR) technology to meet service requirements of application scenarios such as enhanced Mobile Broadband (eMBB), Ultra Reliable and Ultra Low Latency Communication (URLLC), and mass Machine Type Communication (mtc) defined by the 5G network.
At present, the 5G network is just emerging, and in the construction and maintenance stage, a wireless signal coverage test needs to be performed to optimize the 5G network according to a test result, so that the 5G network achieves the optimal coverage performance. However, since the NR technology is different from the conventional LTE technology, the wireless signal coverage test method applied to the 4G network is not suitable for the wireless signal coverage test of the 5G network.
Therefore, how to provide a wireless signal coverage testing method suitable for a 5G network is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention has been made to provide a wireless signal coverage test method and apparatus that overcomes or at least partially solves the above-mentioned problems. The specific scheme is as follows:
a wireless signal coverage test method, the method comprising:
receiving original baseband data of a 5G NR network with the length of 20ms, wherein the sampling rate of the original baseband data is 122.88M;
carrying out 32 times of down-sampling processing on the original baseband data to generate first data with a sampling rate of 3.84M;
carrying out Primary Synchronization Signal (PSS) time domain fast correlation detection on the first data to determine an index and a synchronization position of a PSS;
performing frequency offset estimation according to the synchronization position of the PSS to obtain a first frequency offset estimation result, and performing first frequency offset compensation on a synchronization signal block SSB corresponding to the synchronization position of the PSS by using the first frequency offset estimation result to obtain an SSB after the first frequency offset compensation;
determining an auxiliary synchronization signal SSS to be detected from the SSB subjected to the first frequency offset compensation according to the synchronization position of the PSS;
SSS frequency domain correlation detection is carried out on the SSS to be detected, and a received SSS and cell Physical Cell Identity (PCI) detection result is determined;
determining a synchronization position of the synchronization signal block SSB according to the detected secondary synchronization signal SSS;
performing frequency offset estimation according to the detected time domain starting position of the SSS to obtain a second frequency offset estimation result, and performing second frequency offset compensation on the SSB by using the second frequency offset estimation result to obtain an SSB after the second frequency offset compensation;
measuring the detected SSS based on the SSB after the second frequency offset compensation to obtain a measurement result;
and reporting the cell PCI detection result, the synchronous position of the SSB and the measurement result.
Optionally, the performing a time domain fast correlation detection on the primary synchronization signal PSS on the first data to determine an index and a synchronization position of the PSS includes:
extracting 76800 points from the first data as second data;
segmenting the second data to generate 600 segments of third data, wherein the length of each segment of third data is 256 points;
respectively calculating three correlation value sequences of each section of third data and peak-to-average ratios (PMRs) of the three correlation value sequences, wherein the 600 sections of third data correspond to 1800 correlation value sequences and 1800 PMRs in total;
and determining the index and the synchronous position of the PSS according to the 1800 correlation value sequences and the 1800 PMRs.
Optionally, calculating three correlation value sequences and PMRs of the three correlation value sequences corresponding to any one of the 600 pieces of third data includes:
acquiring three preset local PSS frequency domain conjugate reference sequences refPssFdConj (m) (n);
according to the formula
corr(m)(n)＝ifft(fft(rcv(n))/sqrt(256).*refPssFdConj(m)(n))*sqrt(256)
Performing correlation operation based on FFT on the current third data to obtain three correlation value sequences corr (m) (n) of the current third data;
processing each correlation value sequence as follows to obtain PMRs of the three correlation value sequences;
determining the maximum power value max (| corr (m) (l)) from the first 128 points of the current correlation value sequence 2 )；
Calculating the power mean value mean (| corr (m) (n)) of 256 points of the current correlation value sequence 2 )；
According to the formula
Calculating PMR of the current correlation value sequence;
wherein m is 0,1, 2; n is 0,1, 2, …, 255; l is 0,1, …, 125, 126, 127.
Optionally, the determining the synchronization position of the PSS according to the 1800 correlation value sequences and the 1800 PMRs includes:
determining the maximum PMR in the 1800 PMRs, and determining the m value of a correlation value sequence corresponding to the maximum PMR, wherein the m value is the index pssId of the PSS;
determining that the PMR with the m value being the m value of the correlation value sequence corresponding to the maximum PMR in the 1800 PMRs is a target PMR;
comparing the target PMRs with a preset PSS detection threshold one by one, determining K PMRs exceeding the PSS detection threshold, and determining a synchronization position pssPos (K) corresponding to each PMR in the K PMRs;
determining a synchronous position pssPos0 corresponding to the maximum PMR which meets pssPos (K) ≦ (76800 and 539+1) in the K PMRs as the synchronous position of the PSS;
wherein, K is an integer of more than or equal to 1, K is 0,1, …, K-1.
Optionally, the determining, according to the synchronization position of the PSS, the secondary synchronization signal SSS to be detected from the SSB after the first frequency offset compensation includes:
acquiring time domain data of the SSS to be detected from the SSB subjected to the first frequency offset compensation according to the synchronization position of the PSS;
and performing FFT (fast Fourier transform) on the time domain data of the SSS to be detected to a frequency domain to obtain an SSS frequency domain sequence to be detected, and marking the SSS frequency domain sequence as rcvSssFd (l), wherein l is 0,1, …, 125 and 126.
Optionally, performing SSS frequency domain correlation detection on the SSS to be detected to determine a received SSS index and a cell PCI detection result, including:
acquiring a preset local SSS frequency domain sequence d (m) (l); wherein m is 0,1, 2, …, 1007; 0,1, …, 125, 126;
calculating correlation values of the local SSS frequency-domain sequences according to a formula corr (sum (rcvssfd (l)), (m) (l))) to obtain correlation values of 1008 local SSS frequency-domain sequences, wherein the rcvssfd (l)) is a frequency-domain sequence of the SSS to be detected;
determining a maximum correlation value maxCorr from the correlation values of the 1008 local SSS frequency-domain sequences;
calculating a power mean meanCorr of correlation values of the 1008 local SSS frequency-domain sequences according to the formula meanCorr ═ (sum) (corr) -maxCorr)/1007;
calculating the PMR of the local SSS frequency domain sequence according to the formula PMR ═ maxCorr/meanCorr;
and when the PMR of the local SSS frequency domain sequence exceeds a preset SSS detection threshold, determining that the cell PCI detection result is m corresponding to the PMR of the correlation value of the local SSS frequency domain sequence, wherein m is the detected PCI of the cell, and SSS corresponding to the m is the detected SSS.
Optionally, the determining a synchronization position of the synchronization signal block SSB according to the detected secondary synchronization signal SSS includes:
calculating the position offset of fine synchronization;
performing fine synchronization processing on the detected secondary synchronization signal SSS according to the position offset of the fine synchronization, and determining a time domain starting position of the detected SSS after the fine synchronization;
and determining the synchronous position of the SSB according to the detected time domain starting position of the SSS after fine synchronization.
A wireless signal coverage testing apparatus, the apparatus comprising:
a receiving unit, configured to receive original baseband data of a 5G NR network with a length of 20ms, where a sampling rate of the original baseband data is 122.88M;
the down-sampling unit is used for carrying out 32 times of down-sampling processing on the original baseband data to generate first data with the sampling rate of 3.84M;
a PSS time domain fast correlation detection unit, configured to perform primary synchronization signal PSS time domain fast correlation detection on the first data to determine an index and a synchronization position of a PSS;
the first frequency offset estimation and compensation unit is used for performing frequency offset estimation according to the synchronization position of the PSS to obtain a first frequency offset estimation result, and performing first frequency offset compensation on a synchronization signal block SSB corresponding to the synchronization position of the PSS by using the first frequency offset estimation result to obtain an SSB after the first frequency offset compensation;
an SSS determination unit for determining an SSS of the secondary synchronization signal to be detected from the SSB after the first frequency offset compensation according to the synchronization position of the PSS;
an SSS frequency domain correlation detection unit, configured to perform SSS frequency domain correlation detection on the SSS to be detected to determine a received SSS index and a cell PCI detection result;
a synchronization position determination unit of the SSB, configured to determine a synchronization position of the synchronization signal block SSB according to the detected secondary synchronization signal SSS;
a second frequency offset estimation and compensation unit, configured to perform frequency offset estimation according to the detected time domain starting position of the SSS to obtain a second frequency offset estimation result, and perform second frequency offset compensation on the synchronization signal block SSB by using the second frequency offset estimation result to obtain an SSB after the second frequency offset compensation;
an SSS measuring unit, configured to measure the detected SSS based on the SSB after the second frequency offset compensation, and obtain a measurement result;
and a reporting unit, configured to report the cell PCI detection result, the synchronization position of the SSB, and the measurement result.
A storage medium having stored thereon a program which, when executed by a processor, implements a wireless signal coverage test method as described above.
An electronic device comprising a memory for storing a program and a processor for running the program, wherein the program when run performs a wireless signal coverage testing method as described above.
By means of the technical scheme, after the original baseband data of the 20ms 5G NR network with the sampling rate of 122.88M is received, 32 times of downsampling processing is carried out on the original baseband data, and first data with the sampling rate of 3.84M are generated; PSS time domain fast correlation detection is carried out on the first data to determine the index and the synchronous position of the PSS; obtaining the SSB after the first frequency offset compensation according to the synchronous position of the PSS; determining SSS to be detected from the SSB after the first frequency offset compensation according to the synchronization position of the PSS; SSS frequency domain correlation detection is carried out on the SSS to be detected, and the received SSS index and cell PCI detection result are determined; determining the synchronous position of the SSB according to the detected SSS; obtaining the SSB after the second frequency offset compensation according to the detected time domain initial position of the SSS; measuring the detected SSS based on the SSB after the second frequency offset compensation to obtain a measurement result; and finally, reporting the cell PCI detection result, the SSB synchronous position and the measurement result. The method and the device are suitable for wireless signal coverage test of the 5G network.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic diagram of an SSB provided in an embodiment of the present invention;
fig. 2 is a schematic flowchart of a wireless signal coverage testing method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a wireless signal coverage testing apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It should be noted that, in order to meet the service requirements of different application scenarios, 5G NR defines 5 subcarrier intervals, which are 15kHz, 30kHz, 60kHz, 120kHz and 240kHz, where 15kHz and 30kHz are mainly used in the frequency bands below 6GHz, 120kHz and 240kHz are mainly used in the frequency bands above 6GHz, and 60kHz can be used in both the frequency bands below 6GHz and above 6 GHz. At present, the 5G NR network is mainly distributed aiming at the frequency band below 6 GHz.
In the process of implementing the present application, the inventors of the present application found that, in the wireless Signal coverage test, cell search is mainly performed by a frequency sweep apparatus, and in a 5G NR network, cell search is implemented by SSB (Synchronization Signal Block).
In order to facilitate understanding of the specific implementation scheme provided in the embodiments of the present application, the SSB is briefly described below.
As shown in fig. 1, one SSB includes PSS (Primary Synchronization Signal), SSS (Secondary Synchronization Signal), and 2 PBCH (Physical Broadcast Channel) signals. One SSB occupies 20 consecutive RBs (Resource Block) in the frequency domain, for a total of 240 subcarriers, and occupies 4 consecutive OFDM symbols in the time domain. The length of the PSS is 127 points, each point corresponds to one RE (Resource Element ), and the PSS is an M sequence carrying ID information in a group of cells; the SSS has a length of 127 points and is an M sequence carrying the group ID information of the cell and the intra-group ID information of the cell, wherein the group ID information of the cell is
(the range of group IDs is 0 to 335), and the intra-group ID information of the cell is
(the intra-group ID ranges from 0 to 2). One or more SSBs form an SSB Burst (i.e., SS Burst), one SSB Burst occupies a half frame of one radio frame, the number of SSBs in one SSB Burst is L, L is 4 for a frequency band below 3GHz, and L is 8 for a frequency band from 3GHz to 6 GHz. In the 5G NR network, a radio frame is 10ms in length, 10 subframes are included in the radio frame, each subframe is 1ms in length, each radio frame is divided into two half frames, the first 5ms is half frame 0, and the last 5ms is half frame 1. The time domain starting OFDM symbol position of one SSB is jointly determined by the subcarrier interval and the frequency band. For example, for a 30kHz subcarrier spacing, the 3GHz to 6GHz band, the first OFDM symbol index of each SSB satisfies {2, 8} +14 × n, n ═ 0,1, 2, 3.
In a 5G NR network, after Receiving a wireless Signal coverage test instruction, a frequency scanning device starts cell search, detects PSS and SSS of different cells to identify different cell IDs, and measures each cell to obtain related parameters such as SS-RP (Synchronization Signal-Receiving Power), SS-SINR (Synchronization Signal-Signal to Interference plus Noise Ratio), and the like.
The following describes specific implementations provided in embodiments of the present application in detail.
Example one
The wireless signal coverage test method provided by the first embodiment is mainly used for the situation that the subcarrier interval is 30kHZ and the number L of SSBs in an SSB burst is 8. Other implementations of subcarrier spacing and number of SSBs in an SSB burst, similar to the examples, are also within the scope of the present application.
First, the embodiment provides a wireless signal coverage testing method from the perspective of a frequency sweeping device. Specifically, referring to fig. 2, the method may specifically include:
s21: receiving original baseband data of a 5G NR network with the length of 20ms, wherein the sampling rate of the original baseband data is 122.88M;
after the wireless signal coverage test of the 5G NR network is started, the frequency sweeping device can start to receive the original baseband data of the 5G NR network.
S22: carrying out 32 times of down-sampling processing on the original baseband data to generate first data with a sampling rate of 3.84M;
since the sampling rate of the baseband data of the 5G NR network received by the frequency sweeping device is usually very high, and is generally 122.88M/s, the size of 20ms original baseband data is 2457600 points. The PSS and the SSS are generally distributed in the center of the frequency domain of the SSB and occupy 127 subcarriers, so that the frequency sweeping device performs down-sampling processing on original baseband data, and down-samples the original baseband data into first data, as an implementable mode, in the invention, the frequency sweeping device performs 32-time down-sampling processing on the original baseband data to generate the first data with the size of 76800 points, wherein the first data with the size of 76800 points comprises 128 subcarriers near the center frequency and covers complete signals of the PSS and the SSS, and the calculation amount during subsequent detection is greatly reduced.
S23: carrying out PSS time domain fast correlation detection on the first data to determine the index and the synchronous position of the PSS;
the method specifically comprises the following steps:
s231: extracting 76800 points from the first data as second data;
in the case that the subcarrier interval is 30kHZ and the number L of SSBs in an SSB burst is 8, the SSB burst exists only in the first half of a 10ms radio frame, and since the default transmission cycle of the SSB during blind detection is 20ms, it is necessary to perform cell search in at least 20ms of data, in this application, 20ms of data is taken as second data from data having a sampling rate of 3.84M, and the length of the second data is 76800 points.
S232: segmenting the second data to generate 600 segments of third data, wherein the length of each segment of third data is 256 points;
segmenting the second data according to step 128, overlap 128, segmentation number Nstep 76800/128 600, each segment of data being rcv (n), n 0,1,.., 255; it should be noted that, in order to ensure the integrity of the sliding-related data, the 600 th data further includes 128 points additionally taken after the second data.
S233: respectively calculating three correlation value sequences of each section of third data and PMRs (Peak to Mean Ratio) of the three correlation value sequences, wherein the 600 sections of third data correspond to 1800 correlation value sequences and 1800 PMRs in total;
the method for calculating three correlation value sequences and PMRs of the three correlation value sequences corresponding to any one of the 600 pieces of third data specifically includes:
s2331: acquiring (n) three preset local PSS frequency domain conjugate reference sequences refPssFdConj, (m), wherein m is an index of the three local PSS frequency domain conjugate reference sequences, and m is 0,1 and 2; n is an index within a single local PSS frequency domain conjugate reference sequence, n ═ 0,1, 2, …, 255;
specifically, 3 local PSS frequency domain sequences are generated according to the intra-group ID information of the cell, that is: d PSS (m) (l), wherein m is an index of three local PSS frequency-domain sequences, m is 0,1, 2, l is an index within a single local PSS frequency-domain sequence, l is 0,1, …, 125, 126, 127; supplementing one 0 to each local PSS frequency domain sequence to enable the length of the local PSS frequency domain sequence to be 128 points, then transforming the local PSS frequency domain sequence to a time domain through 128-point IFFT to generate 3 local PSS time domain sequences, supplementing 128 0 to each local PSS time domain sequence, then transforming the local PSS time domain sequence to a frequency domain through 256-point FFT, and taking a conjugate to generate three local PSS frequency domain conjugate reference sequences refPsfFdConj (m) (n), wherein m is 0,1 and 2; n is 0,1, 2, …, 255;
s2332: according to the formula
corr(m)(n)＝ifft(fft(rcv(n))/sqrt(256).*refPssFdConj(m)(n))*sqrt(256)
Performing FFT-based correlation operation on the segment of third data to obtain a correlation value sequence corr (m) (n) of the segment of third data, where m is an index of the correlation value sequence of the segment of third data, and m is 0,1, 2; n is an index within each correlation value sequence, n is 0,1, …, 255; that is, there are three correlation value sequences corresponding to the third piece of data, and each correlation value sequence includes 256 points;
s2333: processing each correlation value sequence as follows to obtain PMR of the correlation value sequence;
from the sequence of correlation valuesDetermining the maximum power value max (| corr (m) (l) in the first 128 points of 2 ),l＝0,1,...,127；
Calculating the mean power mean (| corr (m) (n)) of 256 points of the correlation value sequence 2 ),n＝0,1,...,255；
According to the formula
The PMR of the sequence of correlation values is calculated.
After all 600 pieces of third data are calculated based on 2331 to 2333, a total of 3 × 600 to 1800 correlation value sequences and 1800 PMRs are generated;
s234: and determining the index and the synchronous position of the PSS according to the 1800 correlation value sequences and the 1800 PMRs.
In the embodiment of the invention, the maximum PMR in 1800 PMRs can be determined, and the m value of the correlation value sequence corresponding to the maximum PMR is determined, wherein the m value is the index pssId of the PSS; determining that the PMRs with m values being m values of the correlation value sequence corresponding to the maximum PMR are target PMRs, wherein the number of the target PMRs is 600; comparing the target PMRs with a preset PSS detection threshold one by one, determining K PMRs exceeding the PSS detection threshold, and determining a synchronization position pssPos (K) corresponding to each PMR in the K PMRs; determining a synchronization position pssPos0 corresponding to the maximum PMR satisfying pssPos (K) ≦ 539+1 in the K PMRs as the synchronization position of PSS; wherein, K is an integer of more than or equal to 1, K is 0,1, …, K-1.
Specifically, the K PMRs may be arranged in a descending order, and whether the position pssPos (K) corresponding to each PMR is less than or equal to (76800 plus 539+1) is sequentially determined according to the descending order, and a synchronization position pssPos0 corresponding to the first PMR of pssPos (K) less than or equal to (76800 plus 539+1) is determined as the synchronization position of the PSS, so that the calculation amount may be reduced. As an implementation, the predetermined PSS detection threshold is generally between 15 and 20.
S24: and performing frequency offset estimation according to the synchronization position of the PSS to obtain a first frequency offset estimation result freqOffset1, and performing first frequency offset compensation on the SSB corresponding to the synchronization position of the PSS by using the first frequency offset estimation result freqOffset1 to obtain the SSB after the first frequency offset compensation.
In this embodiment, a frequency offset estimation method based on a CP (Cyclic Prefix) may be adopted to perform frequency offset estimation according to the strongest PSS, so as to obtain a first frequency offset estimation result freqOffset 1. In this embodiment, in order to reduce the amount of calculation and ensure the compensation effect, the frequency offset compensation is performed only on the OFDM symbols which start from the previous OFDM symbol of the SSB corresponding to the PSS and end at 1.5 OFDM symbols after the SSB corresponding to the PSS.
S25: and determining the SSS to be detected from the SSB after the first frequency offset compensation according to the synchronization position of the PSS.
The method specifically comprises the following steps:
s251: and acquiring time domain data of SSS from the SSB data after the frequency offset compensation according to the synchronization position of the PSS.
In 3.84M sample data, the length of one OFDM is 128, the length of CP is 9, and since the SSS and PSS are separated by 2 OFDM symbols, the starting position sssssssssssssyncpos of the SSS time domain data is the synchronization position of the PSS plus (128+9) × 2, that is, 274.
S252: performing FFT (fast Fourier transform) on the time domain data of the SSS to a frequency domain to obtain an SSS frequency domain sequence, and marking as rcvSssFd (l), wherein l is an index in the SSS frequency domain sequence, and l is 0, 1. That is, the frequency domain sequence length of one SSS is 127 points.
S26: SSS frequency domain correlation detection is carried out on the SSS to be detected to determine the received SSS index and Cell PCI (Physical Cell ID) detection result,
the method comprises the following steps:
s261: acquiring a preset local SSS frequency domain sequence d (m) (l); wherein m is 0,1, 2, …, 1007; 0,1, …, 125, 126, 127;
specifically, 1008 local SSS frequency domain sequences may be generated according to the group ID information of the cell and the intra-group ID information of the cell, that is: d SSS (m) (l), where m is an index of a local SSS frequency-domain sequence, and m is 0,1, 2, …, 1007; l is the index within a single local SSS frequency domain sequence0,1, …, 125, 126, 127;
s262: calculating correlation values of the local SSS frequency-domain sequences according to a formula corr (m) (sum (rcvsssfd (l))) (m) (l)), to obtain correlation values of 1008 local SSS frequency-domain sequences, wherein rcvsssfd (l) is a frequency-domain sequence of the SSS to be detected;
s263: determining a maximum correlation value maxCorr from the correlation values of the 1008 local SSS frequency-domain sequences;
s264: calculating a power mean meanCorr of correlation values of the 1008 local SSS frequency-domain sequences according to the formula meanCorr ═ (sum) (corr) -maxCorr)/1007;
s265: calculating the PMR of the local SSS frequency domain sequence according to the formula PMR ═ maxCorr/meanCorr;
s267: and when the PMR of the local SSS frequency domain sequence exceeds a preset SSS detection threshold, determining that the cell PCI detection result is m corresponding to the PMR of the correlation value of the local SSS frequency domain sequence, wherein the m is the detected cell PCI.
It should be noted that, when the PMR of the local SSS frequency-domain sequence does not exceed the preset SSS detection threshold, it indicates that a cell is not detected.
S27: determining a synchronization position of the SSB according to the detected secondary synchronization signal SSS;
the method specifically comprises the following steps:
s271: calculating the position offset time _ offset of fine synchronization;
the S271 specifically includes:
s2711: acquiring the detected SSS frequency domain sequence rcvSssFd (l), wherein l is 0,1, …, 125 and 126;
s2712: calculating a frequency domain correlation value sssCorrInFd (l) of the SSS frequency domain sequence rcvSssFd (l), wherein l is 0,1, …, 126;
specifically, conjugate multiplication is performed on the detected SSS frequency domain sequence rcvsssfd (l) and the local SSS frequency domain sequence d (m) (l), so as to obtain the frequency domain correlation value sssscorrinfd (l) of the detected SSS frequency domain sequence rcvsssfd (l).
S2713: converting the frequency domain correlation value sssCorrInFd (l) of the detected SSS frequency domain sequence rcvSssFd (l) to a time domain to obtain a time domain power delay spectrum PDP;
specifically, the time domain power time delay spectrum PDP may be calculated according to the following formula: pdpInTd ═ ifft ([ ssscorinfd (fft _ sz/2+1: end),0, ssscorinfd (1: fft _ sz/2) ]) sqrt (fft _ sz) PDP ═ abs (pdpInTd) ^2, where fft _ sz ^ 128;
s2714: exchanging the positions of the front half part and the rear half part of the time domain power time delay spectrum PDP to obtain a new PDP: PDP ═ PDP (fft _ sz-fft _ sz/2+1: fft _ sz), PDP (1: fft _ sz/2) ];
s2715: finding the peak position max _ idx of the new PDP;
s2716: the fine synchronization position offset time _ offset is calculated by subtracting (fft _ sz/2+1) from the new PDP peak position max _ idx.
Namely: time _ offset is max _ idx- (fft _ sz/2+ 1);
s272: and calculating a time domain starting position sssfienessyncpos of the detected SSS after the fine synchronization according to a formula sssfienessyncpos + time _ offset, wherein the sssssssssssyncpos is a starting position of SSS time domain data before the fine synchronization.
S273: the synchronization position ssbSyncPos of the synchronization signal block SSB is calculated according to the formula ssbssyncpos- (274+ 9).
S28: and performing frequency offset estimation according to the detected time domain starting position of the SSS to obtain a second frequency offset estimation result freqOffset2, and performing second frequency offset compensation on the SSB by using the second frequency offset estimation result freqOffset2 to obtain the SSB after the second frequency offset compensation.
Specifically, frequency offset estimation may be performed according to the detected time domain starting position of the SSS after the fine synchronization, so as to obtain a second frequency offset estimation result freqOffset 2.
S29: measuring the detected SSS based on the SSB after the second frequency offset compensation to obtain a measurement result;
specifically, the SSS may be measured by performing SSS channel estimation on the SSS to obtain H _ SSS, and then obtaining SS-RP and SS-SINR.
S30: and reporting the cell PCI detection result, the synchronous position of the SSB and the measurement result.
In the method for testing coverage of a wireless signal provided by this embodiment, original baseband data of a 5G NR network with a length of 20ms is received, where a sampling rate of the original baseband data is 122.88M; carrying out 32 times of down-sampling processing on the original baseband data to generate first data with a sampling rate of 3.84M; carrying out Primary Synchronization Signal (PSS) time domain fast correlation detection on the first data to determine an index and a synchronization position of a PSS; performing frequency offset estimation according to the synchronization position of the PSS to obtain a first frequency offset estimation result, and performing first frequency offset compensation on a synchronization signal block SSB corresponding to the synchronization position of the PSS by using the first frequency offset estimation result to obtain an SSB after the first frequency offset compensation; determining an auxiliary synchronization signal SSS to be detected from the SSB subjected to the first frequency offset compensation according to the synchronization position of the PSS; SSS frequency domain correlation detection is carried out on the SSS to be detected to determine a received SSS index and a cell PCI detection result; determining a synchronization position of the synchronization signal block SSB according to the detected secondary synchronization signal SSS; performing frequency offset estimation according to the detected time domain starting position of the SSS to obtain a second frequency offset estimation result, and performing second frequency offset compensation on the SSB by using the second frequency offset estimation result to obtain an SSB after the second frequency offset compensation; measuring the detected SSS based on the SSB after the second frequency offset compensation to obtain a measurement result; and reporting the cell PCI detection result, the synchronous position of the SSB and the measurement result. The method is suitable for wireless signal coverage test of the 5G network.
Example two
The second embodiment corresponds to the first embodiment, and provides a wireless signal coverage testing apparatus from the perspective of a frequency sweeping device, specifically, referring to fig. 3, the apparatus may specifically include:
a receiving unit 31, configured to receive raw baseband data of a 5G NR network, where a sampling rate of the raw baseband data is 122.88M;
a down-sampling unit 32, configured to perform 32-time down-sampling processing on the original baseband data to generate first data with a sampling rate of 3.84M;
a PSS time domain fast correlation detecting unit 33, configured to perform a primary synchronization signal PSS time domain fast correlation detection on the first data to determine a synchronization position of the PSS;
a first frequency offset estimation and compensation unit 34, configured to perform frequency offset estimation according to the synchronization position of the PSS to obtain a first frequency offset estimation result freqOffset1, and perform first frequency offset compensation on the synchronization signal block SSB corresponding to the synchronization position of the PSS by using the first frequency offset estimation result freqOffset1 to obtain an SSB after the first frequency offset compensation;
an SSS to be detected determining unit 35, configured to determine, according to the synchronization position of the PSS, an secondary synchronization signal SSS to be detected from the SSB after the first frequency offset compensation;
an SSS frequency domain correlation detecting unit 36, configured to perform SSS frequency domain correlation detection on the SSS to be detected to determine a received SSS index and a cell PCI detection result;
a synchronization position determining unit 37 of the SSB, configured to determine a synchronization position of the synchronization signal block SSB according to the detected secondary synchronization signal SSS;
a second frequency offset estimation and compensation unit 38, configured to perform frequency offset estimation according to the detected time domain starting position of the SSS to obtain a second frequency offset estimation result freqOffset2, and perform second frequency offset compensation on the synchronization signal block SSB by using the second frequency offset estimation result freqOffset2 to obtain an SSB after the second frequency offset compensation;
an SSS measuring unit 39, configured to measure the detected SSS based on the second frequency offset compensated SSB, and obtain a measurement result;
a reporting unit 40, configured to report the cell PCI detection result, the synchronization position of the SSB, and the measurement result.
It should be noted that specific implementations of the above units have been described in detail in the method embodiment, and specific reference is made to relevant contents in the method embodiment, which is not described again in this embodiment.
The wireless signal coverage testing device comprises a processor and a memory, wherein the units are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the wireless signal coverage test is realized by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), including at least one memory chip.
An embodiment of the present application provides a storage medium, on which a program is stored, and the program implements the wireless signal coverage testing method when executed by a processor.
The embodiment of the application provides a processor, wherein the processor is used for running a program, and the wireless signal coverage testing method is executed when the program runs.
The embodiment of the application provides an electronic device, which comprises a processor, a memory and a program stored on the memory and capable of running on the processor, wherein each step in the wireless signal coverage test method is realized when the processor executes the program. The electronic device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the steps of the wireless signal coverage test method when executed on a data processing device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (8)
1. A method for wireless signal coverage testing, the method comprising:
receiving original baseband data of a 5G NR network with the length of 20ms, wherein the sampling rate of the original baseband data is 122.88M;
carrying out 32 times of down-sampling processing on the original baseband data to generate first data with a sampling rate of 3.84M;
carrying out Primary Synchronization Signal (PSS) time domain fast correlation detection on the first data to determine an index and a synchronization position of a PSS;
performing frequency offset estimation according to the synchronization position of the PSS to obtain a first frequency offset estimation result, and performing first frequency offset compensation on a synchronization signal block SSB corresponding to the synchronization position of the PSS by using the first frequency offset estimation result to obtain an SSB after the first frequency offset compensation;
determining an auxiliary synchronization signal SSS to be detected from the SSB subjected to the first frequency offset compensation according to the synchronization position of the PSS;
SSS frequency domain correlation detection is carried out on the SSS to be detected, and a received SSS index and a cell Physical Cell Identification (PCI) detection result are determined;
determining a synchronization position of the SSB according to the detected secondary synchronization signal SSS;
performing frequency offset estimation according to the detected time domain starting position of the SSS to obtain a second frequency offset estimation result, and performing second frequency offset compensation on the SSB by using the second frequency offset estimation result to obtain an SSB after the second frequency offset compensation;
measuring the detected SSS based on the SSB after the second frequency offset compensation to obtain a measurement result;
reporting the cell PCI detection result, the SSB synchronization position and the measurement result;
wherein, the determining the index and the synchronization position of the PSS by performing PSS time domain fast correlation detection on the first data comprises:
extracting 76800 points from the first data as second data;
segmenting the second data to generate 600 segments of third data, wherein the length of each segment of third data is 256 points;
respectively calculating three correlation value sequences of each section of third data and peak-to-average ratios (PMRs) of the three correlation value sequences, wherein the 600 sections of third data correspond to 1800 correlation value sequences and 1800 PMRs in total;
determining the index and the synchronous position of the PSS according to the 1800 correlation value sequences and the 1800 PMRs;
the determining the index and the synchronization position of the PSS according to the 1800 correlation value sequences and the 1800 PMRs includes:
determining the maximum PMR in the 1800 PMRs, and determining the m value of a correlation value sequence corresponding to the maximum PMR, wherein the m value is the index pssId of the PSS;
determining 600 PMRs of 600 correlation value sequences corresponding to the m value corresponding to the maximum PMR in the 1800 PMRs as target PMRs, wherein the target PMRs are 600 in total;
comparing the target PMRs with a preset PSS detection threshold one by one, determining K PMRs exceeding the PSS detection threshold, and determining a synchronization position pssPos (K) corresponding to each PMR in the K PMRs;
determining a synchronous position pssPos0 corresponding to the maximum PMR which meets pssPos (K) ≦ (76800 and 539+1) in the K PMRs as the synchronous position of the PSS;
wherein, K is an integer of more than or equal to 1, K is 0,1, …, K-1.
2. The method according to claim 1, wherein calculating the PMR of the three correlation value sequences and the three correlation value sequences corresponding to any one of the 600 pieces of third data comprises:
acquiring three preset local PSS frequency domain conjugate reference sequences refPssFdConj (m) (n);
according to the formula
corr(m)(n)＝ifft(fft(rcv(n))/sqrt(256).*refPssFdConj(m)(n))*sqrt(256)
Performing correlation operation based on FFT on the current third data to obtain three correlation value sequences corr (m) (n) of the current third data;
processing each correlation value sequence as follows to obtain PMRs of the three correlation value sequences;
determining the maximum power value max (| corr (m) (l)) from the first 128 points of the current correlation value sequence 2 )；
Calculating the power mean value mean (| corr (m) (n)) of 256 points of the current correlation value sequence 2 )；
According to the formula
Calculating PMR of the current correlation value sequence;
wherein m is 0,1, 2; n is 0,1, 2, …, 255; l is 0,1, …, 125, 126, 127.
3. The method of claim 1, wherein the determining the Secondary Synchronization Signal (SSS) to be detected from the SSB after the first frequency offset compensation according to the synchronization position of the PSS comprises:
acquiring time domain data of the SSS to be detected from the SSB subjected to the first frequency offset compensation according to the synchronization position of the PSS;
and performing FFT (fast Fourier transform) on the time domain data of the SSS to be detected to a frequency domain to obtain an SSS frequency domain sequence to be detected, and marking the SSS frequency domain sequence as rcvSssFd (l), wherein l is 0,1, …, 125, 126 and 127.
4. The method of claim 3, wherein performing SSS frequency domain correlation detection on the SSS to be detected to determine a received SSS index and a cell PCI detection result comprises:
acquiring a preset local SSS frequency domain sequence d (m) (l); wherein m is 0,1, 2, …, 1007; 0,1, …, 125, 126, 127;
calculating correlation values of the local SSS frequency-domain sequences according to a formula corr (sum (rcvssfd (l)), (m) (l))) to obtain correlation values of 1008 local SSS frequency-domain sequences, wherein the rcvssfd (l)) is a frequency-domain sequence of the SSS to be detected;
determining a maximum correlation value maxCorr from the correlation values of the 1008 local SSS frequency-domain sequences;
calculating a power mean meanCorr of correlation values of the 1008 local SSS frequency-domain sequences according to the formula meanCorr ═ (sum) (corr) -maxCorr)/1007;
calculating the PMR of the local SSS frequency domain sequence according to the formula PMR ═ maxCorr/meanCorr;
and when the PMR of the local SSS frequency domain sequence exceeds a preset SSS detection threshold, determining that the cell PCI detection result is m corresponding to the PMR of the correlation value of the local SSS frequency domain sequence, wherein the m is the detected cell PCI.
5. The method of claim 3, wherein the determining the synchronization position of the SSB according to the detected Secondary Synchronization Signal (SSS) comprises:
calculating the position offset of fine synchronization;
performing fine synchronization processing on the time domain starting position of the detected SSS according to the fine synchronization position offset, and determining the time domain starting position of the detected SSS after fine synchronization;
and determining the synchronous position of the SSB according to the detected time domain starting position of the SSS after fine synchronization.
6. A wireless signal coverage testing apparatus, the apparatus comprising:
a receiving unit, configured to receive original baseband data of a 5G NR network with a length of 20ms, where a sampling rate of the original baseband data is 122.88M;
the down-sampling unit is used for carrying out 32 times of down-sampling processing on the original baseband data to generate first data with the sampling rate of 3.84M;
a PSS time domain fast correlation detection unit, configured to perform primary synchronization signal PSS time domain fast correlation detection on the first data to determine an index and a synchronization position of a PSS;
the first frequency offset estimation and compensation unit is used for performing frequency offset estimation according to the synchronization position of the PSS to obtain a first frequency offset estimation result, and performing first frequency offset compensation on a synchronization signal block SSB corresponding to the synchronization position of the PSS by using the first frequency offset estimation result to obtain an SSB after the first frequency offset compensation;
an SSS determination unit for determining an SSS of the secondary synchronization signal to be detected from the SSB after the first frequency offset compensation according to the synchronization position of the PSS;
an SSS frequency domain correlation detection unit, configured to perform SSS frequency domain correlation detection on the to-be-detected SSS to determine a received SSS index and a cell PCI detection result;
a synchronization position determination unit of the SSB, for determining a synchronization position of the SSB according to the detected SSS;
a second frequency offset estimation and compensation unit, configured to perform frequency offset estimation according to the detected time domain starting position of the SSS to obtain a second frequency offset estimation result, and perform second frequency offset compensation on the SSB by using the second frequency offset estimation result to obtain an SSB after the second frequency offset compensation;
an SSS measuring unit, configured to measure the detected SSS based on the SSB after the second frequency offset compensation, and obtain a measurement result;
a reporting unit, configured to report the cell PCI detection result, the synchronization position of the SSB, and the measurement result;
wherein, the determining the index and the synchronization position of the PSS by performing PSS time domain fast correlation detection on the first data comprises:
extracting 76800 points from the first data as second data;
segmenting the second data to generate 600 segments of third data, wherein the length of each segment of third data is 256 points;
respectively calculating three correlation value sequences of each section of third data and peak-to-average ratios (PMRs) of the three correlation value sequences, wherein the 600 sections of third data correspond to 1800 correlation value sequences and 1800 PMRs in total;
determining the index and the synchronous position of the PSS according to the 1800 correlation value sequences and the 1800 PMRs;
the determining the index and the synchronization position of the PSS according to the 1800 correlation value sequences and the 1800 PMRs comprises the following steps:
determining the maximum PMR in the 1800 PMRs, and determining the m value of a correlation value sequence corresponding to the maximum PMR, wherein the m value is the index pssId of the PSS;
determining 600 PMRs of 600 correlation value sequences corresponding to the m value corresponding to the maximum PMR in the 1800 PMRs as target PMRs, wherein the target PMRs are 600 in total;
comparing the target PMRs with a preset PSS detection threshold one by one, determining K PMRs exceeding the PSS detection threshold, and determining a synchronization position pssPos (K) corresponding to each PMR in the K PMRs;
determining a synchronous position pssPos0 corresponding to the maximum PMR which meets pssPos (K) ≦ (76800 and 539+1) in the K PMRs as the synchronous position of the PSS;
wherein, K is an integer of more than or equal to 1, K is 0,1, …, K-1.
7. A storage medium having stored thereon a program which, when executed by a processor, implements a wireless signal coverage testing method according to any one of claims 1 to 5.
8. An electronic device comprising a memory for storing a program and a processor for executing the program, wherein the program when executed performs the wireless signal coverage testing method of any of claims 1 to 5.
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