CN112565145B - 5G millimeter wave signal demodulation method - Google Patents
5G millimeter wave signal demodulation method Download PDFInfo
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- CN112565145B CN112565145B CN202011305356.8A CN202011305356A CN112565145B CN 112565145 B CN112565145 B CN 112565145B CN 202011305356 A CN202011305356 A CN 202011305356A CN 112565145 B CN112565145 B CN 112565145B
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- H—ELECTRICITY
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- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2602—Signal structure
- H04L27/2605—Symbol extensions, e.g. Zero Tail, Unique Word [UW]
- H04L27/2607—Cyclic extensions
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- H—ELECTRICITY
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- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2602—Signal structure
- H04L27/261—Details of reference signals
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- H—ELECTRICITY
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- H04L27/2601—Multicarrier modulation systems
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2649—Demodulators
- H04L27/265—Fourier transform demodulators, e.g. fast Fourier transform [FFT] or discrete Fourier transform [DFT] demodulators
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- H04L27/2601—Multicarrier modulation systems
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
- H04L27/2657—Carrier synchronisation
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Abstract
The invention discloses a 5G millimeter wave signal demodulation method, which belongs to the technical field of 5G, and comprises the steps of obtaining a coarse synchronization point by utilizing CP correlation, performing IFFT operation on a demodulation reference signal (DMRS) sequence to convert the demodulation reference signal (DMRS) sequence into a time domain, performing sliding correlation with a received time domain signal to obtain a fine synchronization point, and performing frequency offset estimation by utilizing a method of correlation of adjacent time slot channel matrixes, thereby completing synchronization and demodulation of the 5G millimeter wave signal without a synchronization channel. The invention rapidly synchronizes the 5G millimeter wave signals and meets the requirement of carrying out real-time demodulation analysis on the large-bandwidth high-speed 5G millimeter wave signals.
Description
Technical Field
The invention belongs to the technical field of 5G, and particularly relates to a 5G millimeter wave signal demodulation method.
Background
With the further acceleration of the 5G commercialization process, the resources of Sub6G frequency bands are difficult to meet the further demands of people for high speed and low time delay. Millimeter waves are favored by various equipment vendors because of the rich frequency band resources they have.
The maximum bandwidth of the millimeter wave frequency band specified in the protocol already standardized by the 3GPP can be supported to 400MHz, the specific implementation mode of the millimeter wave frequency band depends on different subcarrier intervals, and the large bandwidth also puts higher requirements on the transmission performance of the base station. By demodulating the base station transmit signal in real time and calculating the EVM, it has become a common way to evaluate the base station radio frequency index. However, how to synchronize and demodulate the base station transmission signal in real time without the synchronization signal in the test template specified in the base station radio frequency consistency test has become one of the challenges to be overcome by each instrument manufacturer.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a 5G millimeter wave signal demodulation method which is reasonable in design, overcomes the defects in the prior art and has good effect.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
A5G millimeter wave signal demodulation method comprises the following steps:
step 1: a coarse synchronization point Sync1 is obtained by utilizing CP (Cyclic prefix) correlation;
step 2: 200 sampling points are selected before and after Sync1, and a precise synchronization point Sync2 and a frame header Sync are obtained by utilizing the time domain sliding correlation of a DMRS (Demodulation reference signal ) sequence;
step 3: estimating channel parameters by using a least square method;
step 4: performing frequency offset estimation and time domain frequency offset compensation by using a method related to adjacent time slot channel matrixes;
step 5: and carrying out secondary estimation on the channel parameters by using a least square method, and carrying out signal recovery.
Preferably, in step 1, the method specifically comprises the following steps:
step 1.1: determining a frame structure and a CP type of the signal according to a subcarrier spacing SCS (subcarrier spacing) of the 5G millimeter wave signal;
step 1.2: determining a sliding window size according to the determined frame structure and CP type;
step 1.3: CP correlation is performed and a coarse synchronization point Sync1 is located in combination with the frame structure.
Preferably, in step 2, the method specifically comprises the following steps:
step 2.1: generating a local DMRS sequence according to the cell identity, performing IFFT (Inverse Fast Fourier Transform ) transformation and conversion on the local DMRS sequence to a time domain;
step 2.2: 200 sampling points are selected before and after the coarse synchronization point Sync1 calculated in the step 1, and the data and the time domain DMRS sequence determined in the step 2.1 are subjected to correlation operation;
step 2.3: finding the maximum value in the operation result of the step 2.2, wherein the position corresponding to the maximum value is a fine synchronization point Sync2;
step 2.4: and (3) according to the fine synchronization point obtained in the step 2.3, acquiring a frame header Sync by combining a 10ms frame structure.
Preferably, in step 3, the method specifically comprises the following steps:
step 3.1: extracting the received DMRS sequence according to the fine synchronization point obtained in the step 2;
step 3.2: obtaining channel parameters H of all time slots in a frame by using least square algorithm 1 。
Preferably, in step 4, the method specifically comprises the following steps:
step 4.1: calculating channel parameters according to the step 3, and calculating the frequency error epsilon of each time slot by using a correlation method of the channel parameters of adjacent time slots;
step 4.2: and (5) compensating the received signal according to the frequency error epsilon obtained in the step 4.1.
Preferably, in step 5, the method specifically comprises the following steps:
step 5.1: performing secondary channel estimation on the compensated signal to obtain channel parameter H 2 ;
Step 5.2: using channel parameters H 2 And performing signal recovery on the received signal.
The invention has the beneficial technical effects that:
the method disclosed by the invention is based on a millimeter wave 5G signal processing platform, and solves the problem of testing the radio frequency consistency of the base station specified by the 3GPP protocol by utilizing CP correlation and DMRS sliding correlation. Meanwhile, compared with the frequency offset estimation by using the CP, the frequency offset estimation method has higher precision and stability.
Drawings
FIG. 1 is a schematic diagram of a 5G signal frame structure;
FIG. 2 is a flowchart for calculating synchronization points;
fig. 3 is a flowchart of the whole demodulation apparatus.
Detailed Description
The invention is described in further detail below with reference to the attached drawings and detailed description:
A5G millimeter wave signal demodulation method, the flow of which is shown in figure 3, comprises the following steps:
step 1: acquiring a coarse synchronization point Sync1 by utilizing CP correlation;
the method specifically comprises the following steps:
step 1.1: determining a frame structure and a CP type of the signal according to a subcarrier spacing SCS of the 5G millimeter wave signal;
step 1.2: determining a sliding window size according to the determined frame structure and CP type;
step 1.3: CP correlation is performed and a coarse synchronization point Sync1 is located in combination with the frame structure.
The 5G signal frame structure is shown in fig. 1.
Step 2: 200 sampling points are selected before and after Sync1, and a precise synchronization point Sync2 and a frame header Sync are obtained by utilizing the time domain sliding correlation of the DMRS sequence; the flow is shown in figure 2;
the method specifically comprises the following steps:
step 2.1: generating a local DMRS sequence according to the cell identifier, performing IFFT conversion on the local DMRS sequence to a time domain;
step 2.2: 200 sampling points are selected before and after the coarse synchronization point Sync1 calculated in the step 1, and the data and the time domain DMRS sequence determined in the step 2.1 are subjected to correlation operation;
step 2.3: finding the maximum value in the operation result of the step 2.2, wherein the position corresponding to the maximum value is a fine synchronization point Sync2;
step 2.4: and (3) according to the fine synchronization point obtained in the step 2.3, acquiring a frame header Sync by combining a 10ms frame structure.
Step 3: estimating channel parameters by using a least square method;
the method specifically comprises the following steps:
step 3.1: extracting the received DMRS sequence according to the fine synchronization point obtained in the step 2;
step 3.2: obtaining channel parameters H of all time slots in a frame by using least square algorithm 1 。
Step 4: performing frequency offset estimation and time domain frequency offset compensation by using a method related to adjacent time slot channel matrixes;
the method specifically comprises the following steps:
step 4.1: calculating channel parameters according to the step 3, and calculating the frequency error epsilon of each time slot by using a correlation method of the channel parameters of adjacent time slots;
step 4.2: and (5) compensating the received signal according to the frequency error epsilon obtained in the step 4.1.
Step 5: and carrying out secondary estimation on the channel parameters by using a least square method, and carrying out signal recovery.
The method specifically comprises the following steps:
step 5.1: performing secondary channel estimation on the compensated signal to obtain channel parameter H 2 ;
Step 5.2: using channel parameters H 2 And performing signal recovery on the received signal.
It should be understood that the above description is not intended to limit the invention to the particular embodiments disclosed, but to limit the invention to the particular embodiments disclosed, and that the invention is not limited to the particular embodiments disclosed, but is intended to cover modifications, adaptations, additions and alternatives falling within the spirit and scope of the invention.
Claims (6)
1. A5G millimeter wave signal demodulation method is characterized in that: the method comprises the following steps:
step 1: acquiring a coarse synchronization point Sync1 by utilizing CP correlation;
step 2: 200 sampling points are selected before and after Sync1, and a precise synchronization point Sync2 and a frame header Sync are obtained by utilizing the time domain sliding correlation of the DMRS sequence;
step 3: estimating channel parameters by using a least square method;
step 4: performing frequency offset estimation and time domain frequency offset compensation by using a method related to adjacent time slot channel matrixes;
step 5: and carrying out secondary estimation on the channel parameters by using a least square method, and carrying out signal recovery.
2. The 5G millimeter wave signal demodulation method according to claim 1, wherein: in step 1, the method specifically comprises the following steps:
step 1.1: determining a frame structure and a CP type of the signal according to a subcarrier spacing SCS of the 5G millimeter wave signal;
step 1.2: determining a sliding window size according to the determined frame structure and CP type;
step 1.3: CP correlation is performed and a coarse synchronization point Sync1 is located in combination with the frame structure.
3. The 5G millimeter wave signal demodulation method according to claim 1, wherein: in step 2, the method specifically comprises the following steps:
step 2.1: generating a local DMRS sequence according to the cell identifier, performing IFFT conversion on the local DMRS sequence to a time domain;
step 2.2: 200 sampling points are selected before and after the coarse synchronization point Sync1 calculated in the step 1, and the 200 sampling points and the time domain DMRS sequence determined in the step 2.1 are subjected to correlation operation;
step 2.3: finding the maximum value in the operation result of the step 2.2, wherein the position corresponding to the maximum value is a fine synchronization point Sync2;
step 2.4: and (3) according to the fine synchronization point obtained in the step 2.3, acquiring a frame header Sync by combining a 10ms frame structure.
4. The 5G millimeter wave signal demodulation method according to claim 1, wherein: in step 3, the method specifically comprises the following steps:
step 3.1: extracting the received DMRS sequence according to the fine synchronization point obtained in the step 2;
step 3.2: obtaining channel parameters H of all time slots in a frame by using least square algorithm 1 。
5. The 5G millimeter wave signal demodulation method according to claim 1, wherein: in step 4, the method specifically comprises the following steps:
step 4.1: calculating channel parameters according to the step 3, and calculating the frequency error epsilon of each time slot by using a correlation method of the channel parameters of adjacent time slots;
step 4.2: and (5) compensating the received signal according to the frequency error epsilon obtained in the step 4.1.
6. The 5G millimeter wave signal demodulation method according to claim 1, wherein: in step 5, the method specifically comprises the following steps:
step 5.1: performing secondary channel estimation on the compensated signal to obtain channel parameter H 2 ;
Step 5.2: using channel parameters H 2 And performing signal recovery on the received signal.
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