CN112202694A - Method and system for estimating frequency offset value based on signal reconstruction - Google Patents

Method and system for estimating frequency offset value based on signal reconstruction Download PDF

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CN112202694A
CN112202694A CN202011086108.9A CN202011086108A CN112202694A CN 112202694 A CN112202694 A CN 112202694A CN 202011086108 A CN202011086108 A CN 202011086108A CN 112202694 A CN112202694 A CN 112202694A
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signal
pbch
frequency offset
dmrs
estimation
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CN112202694B (en
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张洋
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Spreadtrum Communications Shanghai Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00Baseband systems
    • H04L25/02Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202Channel estimation
    • H04L25/022Channel estimation of frequency response
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W56/00Synchronisation arrangements
    • H04W56/0035Synchronisation arrangements detecting errors in frequency or phase
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Computer Networks & Wireless Communication (AREA)
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  • Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
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Abstract

The invention discloses a method and a system for estimating a frequency offset value based on signal reconstruction, wherein the estimation method comprises the following steps: responding to the received demodulated PBCH signal, and utilizing the demodulated PBCH and DMRS signal to reconstruct the signal so as to obtain the reconstructed PBCH signal; performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to acquire channel response information; and calculating according to the channel response information to acquire the frequency offset value of the PBCH signal. According to the invention, through reconstructing the PBCH signal, RE resources for channel estimation are increased, and the precision and accuracy of frequency deviation value estimation in the initial network searching stage are improved, so that the signal-to-noise ratio of subsequent received signals is effectively improved, and further the demodulation success rate and demodulation efficiency of the SSB signal are effectively improved.

Description

Method and system for estimating frequency offset value based on signal reconstruction
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to a method and a system for estimating a frequency offset value in an initial network searching stage based on signal reconstruction.
Background
In a 5G NR (New Radio) system (fifth generation communication technology system), SSB (Synchronization Signal and PBCH block, Synchronization Signal and PBCH (physical broadcast channel) block) signals are first signals to be received by a terminal, the signals not only include necessary scheduling information, but also include demodulation reference signals for channel estimation, and the terminal needs to adjust frequency offset (frequency offset), clock offset (time offset), and the like according to an estimation result so as to receive subsequent signals and information. Since the signal strength and redundancy of other signals and channels are much lower than SSB when the system is designed, receiving and demodulating these signals and information requires higher channel quality.
Currently, in the existing frequency offset estimation scheme, generally, DMRS (demodulation reference signal) signals of PBCH are directly utilized to perform frequency offset estimation, and the terminal frequency offset is adjusted accordingly. However, the existing estimation schemes mainly have the following defects: (1) the signal for frequency offset estimation only has a PBCH DMRS signal, so that the resource is limited, and the frequency offset precision obtained by evaluation is limited; (2) the limitation condition of frequency offset adjustment is not added, and when PBCH demodulation is wrong, the frequency offset estimated according to the SSB DMRS is inaccurate due to the fact that the obtained signals are poor generally, and then the demodulation success rate and the demodulation efficiency are affected.
Disclosure of Invention
The invention provides a method and a system for estimating a frequency offset value based on signal reconstruction, aiming at overcoming the defects of low signal demodulation success rate and low efficiency caused by low frequency offset estimation precision in the prior art.
The invention solves the technical problems through the following technical scheme:
a method of estimating a frequency offset value based on signal reconstruction, comprising:
responding to the received demodulated PBCH signal, and utilizing the demodulated PBCH and DMRS signal to reconstruct the signal so as to obtain the reconstructed PBCH signal;
performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to acquire channel response information;
and calculating according to the channel response information to acquire the frequency offset value of the PBCH signal.
Optionally, before the step of receiving the demodulated PBCH signal, the estimating method further includes:
in response to the DMRS and PBCH signals extracted from the signal sampling data, performing channel estimation by using the DMRS signals to obtain a channel estimation result;
demodulating the PBCH signal according to the channel estimation result;
and judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and taking the PBCH signal as a reconstructed signal.
Optionally, before the step of extracting the DMRS and PBCH signals from the signal sampling data, the estimating method further includes:
acquiring signal sampling data;
performing sliding correlation operation on the PSS (primary synchronization signal) sequence and the signal sampling data to acquire a PSS peak value position;
calculating according to the PSS peak position and the SSB period to obtain the initial position of the PSS signal in the next period and serve as the initial position for capturing signal sampling data for the second time;
and extracting the DMRS and the PBCH signal from the signal sampling data grabbed for the second time according to the relative positions of the PBCH and the DMRS.
Optionally, the step of performing signal reconstruction by using the demodulated PBCH and DMRS signals to obtain a reconstructed PBCH signal includes:
scrambling the information bits after the PBCH signal is demodulated to generate a scrambled sequence;
adding CRC (cyclic redundancy check) to the scrambled sequence;
carrying out polarization code coding on the sequence added with the CRC;
performing rate matching on the coded sequence;
QPSK (quadrature phase shift keying) modulation is carried out on the matched sequence;
RE (resource element) mapping is performed on the modulated symbols to obtain a reconstructed PBCH signal.
Optionally, the estimation method is applied to an initial network finding stage of the NR device.
A system for estimating a frequency offset value based on signal reconstruction, comprising:
a signal reconstruction module configured to perform signal reconstruction by using the demodulated PBCH and DMRS signals in response to receiving the demodulated PBCH signal, so as to obtain a reconstructed PBCH signal;
a frequency offset estimation module configured to perform correlation operation using the reconstructed PBCH signal and the signal in the buffer to obtain channel response information,
the frequency offset estimation module is further configured to calculate according to the channel response information to obtain a frequency offset value of the PBCH signal.
Optionally, the system further comprises a signal demodulation module;
the signal demodulation module is configured to:
in response to the DMRS and PBCH signals extracted from the signal sampling data, performing channel estimation by using the DMRS signals to obtain a channel estimation result;
demodulating the PBCH signal according to the channel estimation result;
and judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and taking the PBCH signal as a signal reconstructed by the signal reconstruction module.
Optionally, the system further comprises a signal sampling module;
the signal sampling module is configured to:
acquiring signal sampling data;
performing sliding correlation operation by using the PSS sequence and the signal sampling data to obtain a PSS peak value position;
calculating according to the PSS peak position and the SSB period to obtain the initial position of the PSS signal in the next period and serve as the initial position for capturing signal sampling data for the second time;
and extracting the DMRS and the PBCH signal from the signal sampling data grabbed for the second time according to the relative positions of the PBCH and the DMRS.
Optionally, the signal reconstruction module is configured to:
scrambling the information bits after the PBCH signal is demodulated to generate a scrambled sequence;
adding CRC to the scrambled sequence;
carrying out polarization code coding on the sequence added with the CRC;
performing rate matching on the coded sequence;
QPSK modulation is carried out on the matched sequence;
and RE mapping is carried out on the modulated symbols to obtain the reconstructed PBCH signal.
Optionally, the estimation system is applied to an initial network finding stage of the NR device.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for estimating a frequency offset value based on signal reconstruction as described above when executing the computer program.
A computer readable medium having stored thereon computer instructions which, when executed by a processor, carry out the steps of the method for estimating a frequency offset value based on signal reconstruction as described above.
On the basis of the common knowledge in the field, the preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
according to the method and the system for estimating the frequency offset value based on the signal reconstruction, provided by the invention, through reconstructing the PBCH signal, the RE resource for channel estimation is increased, and the precision and the accuracy of the frequency offset value estimation in the initial network searching stage are improved, so that the signal-to-noise ratio of the subsequent received signal is effectively improved, and the success rate and the demodulation efficiency of the SSB signal demodulation are effectively improved. In addition, the invention also carries out the estimation and adjustment of the frequency deviation value when the PBCH demodulation is successful, thereby effectively avoiding the possibility that the quality of the received signal is deteriorated because the adjustment is carried out according to the wrong frequency deviation result when the signal is very poor.
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The features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
Fig. 1 is a flowchart illustrating a method for estimating a frequency offset value based on signal reconstruction according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating a procedure of reconstructing a PBCH signal according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a system for estimating a frequency offset value based on signal reconstruction according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an electronic device implementing a method for estimating a frequency offset value based on signal reconstruction according to another embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
In order to overcome the above existing drawbacks, the present embodiment provides a method for estimating a frequency offset value based on signal reconstruction, where the method includes: responding to the received demodulated PBCH signal, and utilizing the demodulated PBCH and DMRS signal to reconstruct the signal so as to obtain the reconstructed PBCH signal; performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to acquire channel response information; and calculating according to the channel response information to acquire the frequency offset value of the PBCH signal.
In this embodiment, the estimation method is applied to the initial network finding stage of the NR device, but the application scenario is not particularly limited, and the estimation method may be correspondingly selected and adjusted according to actual requirements.
In this embodiment, by reconstructing the PBCH signal, an accurate frequency offset value is effectively evaluated in the initial network finding stage to improve the receiving quality of the subsequent downlink signal, thereby effectively improving the success rate and the demodulation efficiency of the SSB signal demodulation.
Specifically, as an embodiment, as shown in fig. 1, the estimation method mainly includes the following steps:
step 101, acquiring sampling data.
In this step, 20ms of signal sample data is captured and stored.
And 102, acquiring the peak position of the PSS.
In this step, a sliding correlation operation is performed with the locally generated PSS sequence and the signal sample data to obtain the PSS peak position.
And 103, acquiring the initial position of the PSS signal in the next period and taking the initial position as the initial position for capturing the signal sampling data for the second time.
In this step, calculation is performed according to the PSS peak position and the SSB period to obtain the start position of the PSS signal in the next period and use the start position as the start position of capturing the signal sampling data for the second time, and the capture data length is set to be the time length of the SSB block (block), that is, 4 symbols.
And 104, extracting the DMRS and the PBCH signal, and demodulating the PBCH signal.
In this step, the DMRS and the PBCH signal are extracted from the signal sampling data captured for the second time according to the relative positions of the PBCH and the DMRS, and channel estimation is performed using the DMRS signal to obtain a channel estimation result.
In this step, the PBCH signal is also demodulated according to the channel estimation result.
And 105, judging whether the demodulation is successful, if so, executing a step 106, and if not, executing a step 109.
In this step, it is determined whether the demodulation of the PBCH signal is successful, and if so, the PBCH signal after the successful demodulation is output, and step 106 is executed, otherwise, step 109 is executed.
And step 106, signal reconstruction is carried out.
In this step, in response to receiving the demodulated PBCH signal, the payload of the demodulated PBCH and the DMRS signal are used to reconstruct the signal, so as to obtain a reconstructed PBCH signal.
Specifically, as shown in fig. 2, the step of performing signal reconstruction mainly includes the following steps:
step 1061, scrambling the information bits after the PBCH signal is demodulated.
In this step, the information bits after the PBCH signal is demodulated are scrambled, so as to generate a scrambled sequence according to the protocol specification, and the initialization value is the cellid configured on the network side.
Step 1062, add CRC to the scrambled sequence.
In this embodiment, CRC is a channel coding technique for generating a short fixed bit check code based on data such as network data packets or computer files, and is mainly used to detect or check errors that may occur after data transmission or storage.
And step 1063, performing polarization code encoding on the sequence added with the CRC.
Step 1064, rate matching the coded sequence.
Step 1065, QPSK modulating the matched sequence.
Step 1066, RE mapping is performed on the modulated symbols to obtain the reconstructed PBCH signal.
In this step, RE mapping is performed on the modulated symbols, and a reconstructed PBCH signal is obtained after the mapping is completed.
In this embodiment, in the PBCH signal reconstruction step, the relevant configuration parameters can be specified in the NR protocols 38.211, 38.212.
And step 107, acquiring signal response information.
In this step, a cross-correlation operation is performed by using the PBCH signal after reconstruction and the signal in the buffer (buffer) to obtain channel response information H.
And step 108, calculating to obtain an accurate frequency offset value.
In this step, a calculation is performed according to the channel response information H to obtain an accurate frequency offset value of the PBCH signal.
And step 109, returning the failure of network searching to the upper layer.
In this step, in response to the demodulation failure, a network failure is returned to the upper unit to perform demodulation again.
According to the method for estimating the frequency offset value based on signal reconstruction, through the reconstruction of the PBCH signal, RE resources for channel estimation are increased, and the precision and accuracy of the frequency offset value estimation in the initial network searching stage are improved, so that the signal-to-noise ratio of subsequent received signals is effectively improved, and the success rate and the efficiency of SSB signal demodulation are effectively improved. In addition, the present embodiment also performs estimation and adjustment of the frequency offset value only when PBCH demodulation is successful, thereby effectively avoiding the possibility that the quality of the received signal is deteriorated due to adjustment according to an erroneous frequency offset result when the signal is poor.
In order to overcome the above-mentioned drawbacks, the present embodiment further provides an estimation system for a frequency offset value based on signal reconstruction, wherein the estimation system utilizes the estimation method as described above.
In this embodiment, the estimation system is applied to the initial network searching stage of the NR device, but the application scenario is not particularly limited, and the estimation system may be correspondingly selected and adjusted according to actual requirements.
Specifically, as an embodiment, as shown in fig. 3, the estimation system mainly includes a signal sampling module 21, a signal demodulation module 22, a signal reconstruction module 23, and a frequency offset estimation module 24.
The signal sampling module 21 is configured to: acquiring signal sampling data; performing sliding correlation operation by using the PSS sequence and the signal sampling data to obtain a PSS peak value position; calculating according to the PSS peak position and the SSB period to obtain the initial position of the PSS signal in the next period and serve as the initial position for capturing signal sampling data for the second time; and extracting the DMRS and the PBCH signal from the signal sampling data grabbed for the second time according to the relative positions of the PBCH and the DMRS.
The signal demodulation module 22 is configured to: responding to the DMRS and PBCH signals extracted from the signal sampling data grabbed for the second time, and performing channel estimation by using the DMRS signals to obtain a channel estimation result; demodulating the PBCH signal according to the channel estimation result; and judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and taking the PBCH signal as a signal reconstructed by the signal reconstruction module, and if not, returning to the upper layer unit if the network searching is lost.
The signal reconstruction module 23 is configured to perform signal reconstruction by using the demodulated PBCH and DMRS signals in response to receiving the demodulated PBCH signal, so as to obtain a reconstructed PBCH signal
In particular, the signal reconstruction module 23 is configured to: scrambling the information bits after the PBCH signal is demodulated to generate a scrambled sequence; adding CRC to the scrambled sequence; carrying out polarization code coding on the sequence added with the CRC; performing rate matching on the coded sequence; QPSK modulation is carried out on the matched sequence; and RE mapping is carried out on the modulated symbols to obtain the reconstructed PBCH signal.
The frequency offset estimation module 24 is configured to: performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to acquire channel response information; and calculating according to the channel response information to acquire the frequency offset value of the PBCH signal.
The system for estimating a frequency offset value based on signal reconstruction provided by this embodiment increases RE resources used for channel estimation by reconstructing a PBCH signal, and improves accuracy and precision of frequency offset value estimation at an initial network searching stage, thereby effectively improving a signal-to-noise ratio of a subsequent received signal, and further effectively improving a success rate and demodulation efficiency of SSB signal demodulation. In addition, the present embodiment also performs estimation and adjustment of the frequency offset value only when PBCH demodulation is successful, thereby effectively avoiding the possibility that the quality of the received signal is deteriorated due to adjustment according to an erroneous frequency offset result when the signal is poor.
Fig. 4 is a schematic structural diagram of an electronic device according to another embodiment of the present invention. The electronic device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the method for estimating a frequency offset value based on signal reconstruction as in the above embodiments. The electronic device 30 shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 4, the electronic device 30 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, and a bus 33 connecting the various system components (including the memory 32 and the processor 31).
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory, such as Random Access Memory (RAM)321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
Memory 32 may also include a program/utility 325 having a set (at least one) of program modules 324, such program modules 324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 31 executes various functional applications and data processing, such as the estimation method of the frequency offset value based on signal reconstruction in the above embodiments of the present invention, by running a computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through input/output (I/O) interfaces 35. Also, model-generating device 30 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 36. As shown in FIG. 4, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
The present embodiment also provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the steps in the method for estimating a frequency offset value based on signal reconstruction as in the above embodiments.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible embodiment, the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps of implementing the method for estimating a frequency offset value based on signal reconstruction as in the above embodiments, when the program product is run on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (12)

1. A method for estimating a frequency offset value based on signal reconstruction, comprising:
responding to the received demodulated PBCH signal, and utilizing the demodulated PBCH and DMRS signal to reconstruct the signal so as to obtain the reconstructed PBCH signal;
performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to acquire channel response information;
and calculating according to the channel response information to acquire the frequency offset value of the PBCH signal.
2. The method of estimating of claim 1, wherein said step of responding to receipt of a demodulated PBCH signal is preceded by the method of estimating further comprising:
in response to the DMRS and PBCH signals extracted from the signal sampling data, performing channel estimation by using the DMRS signals to obtain a channel estimation result;
demodulating the PBCH signal according to the channel estimation result;
and judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and taking the PBCH signal as a reconstructed signal.
3. The estimation method of claim 2, wherein prior to the step of extracting the DMRS and PBCH signals from the signal sample data, the estimation method further comprises:
acquiring signal sampling data;
performing sliding correlation operation by using the PSS sequence and the signal sampling data to obtain a PSS peak value position;
calculating according to the PSS peak position and the SSB period to obtain the initial position of the PSS signal in the next period and serve as the initial position for capturing signal sampling data for the second time;
and extracting the DMRS and the PBCH signal from the signal sampling data grabbed for the second time according to the relative positions of the PBCH and the DMRS.
4. The estimation method of claim 1, wherein the step of signal reconstruction using the demodulated PBCH and DMRS signals to obtain a reconstructed PBCH signal comprises:
scrambling the information bits after the PBCH signal is demodulated to generate a scrambled sequence;
adding CRC to the scrambled sequence;
carrying out polarization code coding on the sequence added with the CRC;
performing rate matching on the coded sequence;
QPSK modulation is carried out on the matched sequence;
and RE mapping is carried out on the modulated symbols to obtain the reconstructed PBCH signal.
5. The estimation method according to any one of claims 1 to 4, characterized in that the estimation method is applied to an initial network finding stage of an NR device.
6. A system for estimating a frequency offset value based on signal reconstruction, comprising:
a signal reconstruction module configured to perform signal reconstruction by using the demodulated PBCH and DMRS signals in response to receiving the demodulated PBCH signal, so as to obtain a reconstructed PBCH signal;
a frequency offset estimation module configured to perform correlation operation using the reconstructed PBCH signal and the signal in the buffer to obtain channel response information,
the frequency offset estimation module is further configured to calculate according to the channel response information to obtain a frequency offset value of the PBCH signal.
7. The estimation system of claim 6, further comprising a signal demodulation module;
the signal demodulation module is configured to:
in response to the DMRS and PBCH signals extracted from the signal sampling data, performing channel estimation by using the DMRS signals to obtain a channel estimation result;
demodulating the PBCH signal according to the channel estimation result;
and judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and taking the PBCH signal as a signal reconstructed by the signal reconstruction module.
8. The estimation system of claim 7, further comprising a signal sampling module;
the signal sampling module is configured to:
acquiring signal sampling data;
performing sliding correlation operation by using the PSS sequence and the signal sampling data to obtain a PSS peak value position;
calculating according to the PSS peak position and the SSB period to obtain the initial position of the PSS signal in the next period and serve as the initial position for capturing signal sampling data for the second time;
and extracting the DMRS and the PBCH signal from the signal sampling data grabbed for the second time according to the relative positions of the PBCH and the DMRS.
9. The estimation system of claim 6, wherein the signal reconstruction module is configured to:
scrambling the information bits after the PBCH signal is demodulated to generate a scrambled sequence;
adding CRC to the scrambled sequence;
carrying out polarization code coding on the sequence added with the CRC;
performing rate matching on the coded sequence;
QPSK modulation is carried out on the matched sequence;
and RE mapping is carried out on the modulated symbols to obtain the reconstructed PBCH signal.
10. The estimation system according to any of claims 6 to 9, characterized in that the estimation system is applied to an initial network finding stage of an NR device.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method for estimating a frequency offset value based on signal reconstruction as claimed in any one of claims 1 to 5.
12. A computer readable medium having stored thereon computer instructions, which when executed by a processor, carry out the steps of the method for estimating a frequency offset value based on signal reconstruction according to any one of claims 1 to 5.
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WO2022078349A1 (en) * 2020-10-12 2022-04-21 展讯通信(上海)有限公司 Frequency offset value estimation method and system based on signal reconstruction
CN114978838A (en) * 2022-05-11 2022-08-30 华中科技大学 Harmonic interference resistant polar code coding modulation method

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