CN112202694B - Estimation method and system of frequency offset value based on signal reconstruction - Google Patents
Estimation method and system of frequency offset value based on signal reconstruction Download PDFInfo
- Publication number
- CN112202694B CN112202694B CN202011086108.9A CN202011086108A CN112202694B CN 112202694 B CN112202694 B CN 112202694B CN 202011086108 A CN202011086108 A CN 202011086108A CN 112202694 B CN112202694 B CN 112202694B
- Authority
- CN
- China
- Prior art keywords
- signal
- pbch
- frequency offset
- dmrs
- estimation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/022—Channel estimation of frequency response
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W56/00—Synchronisation arrangements
- H04W56/0035—Synchronisation arrangements detecting errors in frequency or phase
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
- Noise Elimination (AREA)
Abstract
The invention discloses a method and a system for estimating a frequency offset value based on signal reconstruction, wherein the method comprises the following steps: in response to receiving the demodulated PBCH signal, performing signal reconstruction using the demodulated PBCH and DMRS signals to obtain a reconstructed PBCH signal; performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to obtain channel response information; and calculating according to the channel response information to obtain the frequency offset value of the PBCH signal. By reconstructing the PBCH signal, RE resources for channel estimation are increased, and the accuracy and precision of 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 demodulation success rate and demodulation efficiency of the SSB signal are further effectively improved.
Description
Technical Field
The present invention relates to the field of wireless communications 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, which not only contain necessary scheduling information, but also demodulation reference signals for channel estimation, and the terminal needs to adjust frequency offset (frequency offset), clock offset (time offset), etc. according to the estimation result so as to receive subsequent signals and information. Because the signal strength and redundancy of other signals and channels are much lower than SSB when the system is designed, higher channel quality is required to receive and demodulate these signals and information.
Currently, in the existing frequency offset estimation scheme, frequency offset estimation is generally performed by directly using DMRS (demodulation reference signal) signals of PBCH, and terminal frequency offset is adjusted accordingly. However, the existing estimation schemes mainly suffer from the following drawbacks: (1) The signal used for frequency offset estimation is only a PBCH DMRS signal, so that resources are limited, and the frequency offset accuracy obtained by evaluation is limited; (2) Without adding the limitation condition of frequency offset adjustment, when PBCH demodulation is wrong, the obtained signal is generally poor, so that the frequency offset estimated according to SSB DMRS is inaccurate, and the demodulation success rate and efficiency are further affected.
Disclosure of Invention
The invention aims to overcome the defects of low frequency offset estimation precision, low signal demodulation success rate and low efficiency in the prior art, and provides a frequency offset value estimation method and a system based on signal reconstruction.
The invention solves the technical problems by the following technical scheme:
a method of estimating a frequency offset value based on signal reconstruction, comprising:
in response to receiving the demodulated PBCH signal, performing signal reconstruction using the demodulated PBCH and DMRS signals to obtain a reconstructed PBCH signal;
performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to obtain channel response information;
and calculating according to the channel response information to obtain the frequency offset value of the PBCH signal.
Optionally, before the step of responding to the received demodulated PBCH signal, the estimation method further includes:
responding to extracting DMRS and PBCH signals from signal sampling data, 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;
judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and using the PBCH signal as a reconstructed signal.
Optionally, before the step of extracting the DMRS and PBCH signals from the signal sampling data, the estimation method further includes:
acquiring signal sampling data;
performing sliding correlation operation on the PSS (primary synchronization signal) 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 of the next period and serve as the initial position of the sampling data of the second grabbing signal;
and extracting the DMRS and the PBCH signals from the signal sampling data acquired 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 demodulating the PBCH signal to generate a scrambled sequence;
adding CRC (cyclic redundancy check) to the scrambled sequence;
performing polarization code coding on the sequences added with CRC;
performing rate matching on the coded sequence;
QPSK (quadrature phase shift keying) modulation is carried out on the matched sequences;
RE (resource element) mapping is carried out on the modulated symbols to obtain reconstructed PBCH signals.
Optionally, the estimation method is applied to an initial network searching stage of the NR device.
An estimation system for frequency offset values based on signal reconstruction, comprising:
the signal reconstruction module is configured to respond to the received demodulated PBCH signal and perform signal reconstruction by utilizing the demodulated PBCH signal and the DMRS signal so as to acquire a reconstructed PBCH signal;
a frequency offset estimation module configured to perform a 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 so as 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:
responding to extracting DMRS and PBCH signals from signal sampling data, 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;
judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and using 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 on 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 of the next period and serve as the initial position of the sampling data of the second grabbing signal;
and extracting the DMRS and the PBCH signals from the signal sampling data acquired 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 demodulating the PBCH signal to generate a scrambled sequence;
adding CRC to the scrambled sequence;
performing polarization code coding on the sequences added with CRC;
performing rate matching on the coded sequence;
QPSK modulation is carried out on the matched sequences;
RE mapping is carried out on the modulated symbols so as to obtain reconstructed PBCH signals.
Optionally, the estimation system is applied to an initial network searching 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 of estimating a frequency offset value based on signal reconstruction as described above when the computer program is executed.
A computer readable medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of estimating frequency offset values based on signal reconstruction as described above.
On the basis of conforming to the common knowledge in the field, the preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the invention.
The invention has the positive progress effects that:
according to the method and the system for estimating the frequency offset value based on signal reconstruction, by reconstructing the PBCH signal, RE resources for channel estimation are increased, and the accuracy and the precision 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 demodulation success rate and demodulation efficiency of the SSB signal are further effectively improved. In addition, the invention also carries out the estimation and adjustment of the frequency offset value when the PBCH demodulation is successful, thereby effectively avoiding the possibility of deteriorating the received signal quality caused by the adjustment according to the error frequency offset result when the signal is very bad.
Drawings
The features and advantages of the present invention will be better understood upon reading the detailed description of embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily to scale and components having similar related features or characteristics may have the same or similar reference numerals.
Fig. 1 is a flowchart of a method for estimating a frequency offset value based on signal reconstruction according to an embodiment of the present invention.
Fig. 2 is a flow chart of a PBCH signal reconstruction according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an estimation system of 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 means of the following examples, which are not intended to limit the scope of the invention.
In order to overcome the above-mentioned drawbacks, the present embodiment provides a method for estimating a frequency offset value based on signal reconstruction, the method comprising: in response to receiving the demodulated PBCH signal, performing signal reconstruction using the demodulated PBCH and DMRS signals to obtain a reconstructed PBCH signal; performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to obtain channel response information; and calculating according to the channel response information to obtain the frequency offset value of the PBCH signal.
In this embodiment, the estimation method is applied to the initial network searching stage of the NR device, but the application scenario is not particularly limited, and may be selected and adjusted accordingly according to the actual requirement.
In this embodiment, by reconstructing the PBCH signal, an accurate frequency offset value is effectively estimated in the initial network searching stage, so as to improve the receiving quality of the subsequent downlink signal, thereby effectively improving the demodulation success rate and demodulation efficiency of the SSB signal.
Specifically, as an embodiment, as shown in fig. 1, the estimation method mainly includes the following steps:
and 101, acquiring sampling data.
In this step, 20ms of signal sample data is grabbed and stored.
In this step, sliding correlation is performed using the locally generated PSS sequence and the signal sample data to obtain the PSS peak position.
In this step, calculation is performed according to the PSS peak position and SSB period to acquire the start position of the PSS signal of the next period and to sample the data as the start position of the signal for the second time, and the capture data length is set to be the SSB block (block) which is the time length, that is, 4 symbols.
In this step, the DMRS and the PBCH signals 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 by using the DMRS signals, so as to obtain a channel estimation result.
In this step, the PBCH signal is also demodulated according to the channel estimation result.
In this step, it is determined whether the demodulation of the PBCH signal is successful, if so, the PBCH signal after the demodulation is output, and step 106 is executed, and if not, step 109 is executed.
And 106, performing signal reconstruction.
In this step, in response to receiving the demodulated PBCH signal, signal reconstruction is performed using the payload and DMRS signals of the demodulated PBCH to obtain a reconstructed PBCH signal.
Specifically, as shown in fig. 2, the step of performing signal reconstruction mainly includes the following steps:
In this step, the information bits after the PBCH signal demodulation are scrambled to generate a scrambled sequence according to the protocol specification, and the initialization value is cellid configured on the network side.
In this embodiment, CRC is a channel coding technique for generating a short fixed-bit check code according to data such as a network packet or a computer file, and is mainly used for detecting or checking errors that may occur after data transmission or storage.
In step 1066, RE-mapping is performed on the modulated symbols to obtain a reconstructed PBCH signal.
In the step, RE mapping is carried out on the modulated symbol, and the reconstructed PBCH signal is obtained after the mapping is finished.
In this embodiment, in the step of reconstructing the PBCH signal, the relevant configuration parameters may be specified in the NR protocols 38.211 and 38.212.
In this step, a cross-correlation operation is performed using the reconstructed PBCH signal and a signal in a buffer (buffer) to obtain channel response information H.
In this step, calculation is performed according to the channel response information H to obtain an accurate frequency offset value of the PBCH signal.
In this step, in response to demodulation failure, network searching failure is returned to the upper layer unit to re-perform demodulation.
According to the estimation method of the frequency offset value based on signal reconstruction, by reconstructing the PBCH signal, RE resources for channel estimation are increased, and the accuracy and the precision of the frequency offset value estimation in the initial network searching stage are improved, so that the signal-to-noise ratio of a subsequent received signal is effectively improved, and the demodulation success rate and demodulation efficiency of the SSB signal are further effectively improved. In addition, the embodiment also carries out estimation and adjustment of the frequency offset value when PBCH demodulation is successful, thereby effectively avoiding the possibility of deteriorating the received signal quality caused by adjustment according to the error frequency offset result when the signal is poor.
In order to overcome the above-mentioned drawbacks, the present embodiment also provides an estimation system for frequency offset values based on signal reconstruction, which uses the above-mentioned estimation method.
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 may be selected and adjusted accordingly according to the actual requirement.
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 on 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 of the next period and serve as the initial position of the sampling data of the second grabbing signal; and extracting the DMRS and the PBCH signals from the signal sampling data acquired 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 signal sampling data captured for the second time to extract DMRS and PBCH signals, and carrying out channel estimation by utilizing the DMRS signals so as to obtain a channel estimation result; demodulating the PBCH signal according to the channel estimation result; judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and using the PBCH signal as a signal reconstructed by the signal reconstruction module, and if not, returning to the network searching failure to the upper unit.
The signal reconstruction module 23 is configured to perform signal reconstruction using the demodulated PBCH and DMRS signals in response to receiving the demodulated PBCH signals to obtain reconstructed PBCH signals
Specifically, the signal reconstruction module 23 is configured to: scrambling the information bits after demodulating the PBCH signal to generate a scrambled sequence; adding CRC to the scrambled sequence; performing polarization code coding on the sequences added with CRC; performing rate matching on the coded sequence; QPSK modulation is carried out on the matched sequences; RE mapping is carried out on the modulated symbols so as to obtain reconstructed PBCH signals.
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 obtain channel response information; and calculating according to the channel response information to obtain the frequency offset value of the PBCH signal.
According to the estimation system of the frequency offset value based on signal reconstruction, by reconstructing the PBCH signal, RE resources for channel estimation are increased, and accuracy and precision of frequency offset value estimation in an initial network searching stage are improved, so that signal-to-noise ratio of a subsequent received signal is effectively improved, and further demodulation success rate and demodulation efficiency of an SSB signal are effectively improved. In addition, the embodiment also carries out estimation and adjustment of the frequency offset value when PBCH demodulation is successful, thereby effectively avoiding the possibility of deteriorating the received signal quality caused by adjustment according to the error 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 implementing the method of estimating frequency offset values based on signal reconstruction as in the above embodiments when executing the program. The electronic device 30 shown in fig. 4 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments 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 a server device, for example. Components of electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, a bus 33 connecting the different 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 processor 31 executes various functional applications and data processing, such as the estimation method of frequency offset values 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 an input/output (I/O) interface 35. Also, model-generating device 30 may also communicate with one or more networks, such as 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 appreciated that although not shown in the figures, other hardware and/or software modules may be used in connection 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, data backup storage systems, and the like.
It should be noted that although several units/modules or sub-units/modules of an electronic device are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module in accordance with embodiments of the present invention. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.
The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the method of estimating a frequency offset value based on signal reconstruction in the above embodiments.
More specifically, among others, readable storage media may be employed including, but not limited to: portable disk, 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 implementation manner, the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps of the method of estimating a frequency offset value based on signal reconstruction as in the above embodiments, when the program product is run on the terminal device.
Wherein the program code for carrying out the invention may be 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, 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 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 principles and spirit of the invention, but such changes and modifications fall within the scope of the invention.
Claims (10)
1. A method for estimating a frequency offset value based on signal reconstruction, comprising:
responding to extracting DMRS and PBCH signals from signal sampling data, 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;
judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and using the PBCH signal as a reconstructed signal;
in response to receiving the demodulated PBCH signal, performing signal reconstruction using the demodulated PBCH and DMRS signals to obtain a reconstructed PBCH signal;
performing correlation operation by using the reconstructed PBCH signal and the signal in the buffer to obtain channel response information;
and calculating according to the channel response information to obtain the frequency offset value of the PBCH signal.
2. The estimation method of claim 1, wherein prior to the step of extracting DMRS and PBCH signals from the signal sample data, the estimation method further comprises:
acquiring signal sampling data;
performing sliding correlation operation on 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 of the next period and serve as the initial position of the sampling data of the second grabbing signal;
and extracting the DMRS and the PBCH signals from the signal sampling data acquired for the second time according to the relative positions of the PBCH and the DMRS.
3. The estimation method of claim 1, wherein the step of performing signal reconstruction using the demodulated PBCH and DMRS signals to obtain the reconstructed PBCH signal comprises:
scrambling the information bits after demodulating the PBCH signal to generate a scrambled sequence;
adding CRC to the scrambled sequence;
performing polarization code coding on the sequences added with CRC;
performing rate matching on the coded sequence;
QPSK modulation is carried out on the matched sequences;
RE mapping is carried out on the modulated symbols so as to obtain reconstructed PBCH signals.
4. An estimation method according to any one of claims 1-3, characterized in that the estimation method is applied in an initial network searching phase of an NR device.
5. A system for estimating a frequency offset value based on signal reconstruction, comprising:
the signal reconstruction module is configured to respond to the received demodulated PBCH signal and perform signal reconstruction by utilizing the demodulated PBCH signal and the DMRS signal so as to acquire a reconstructed PBCH signal;
a frequency offset estimation module configured to perform a 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 so as to obtain a frequency offset value of the PBCH signal;
the signal demodulation module is configured to:
responding to extracting DMRS and PBCH signals from signal sampling data, 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;
judging whether the demodulation of the PBCH signal is successful, if so, outputting the PBCH signal after the demodulation is successful and using the PBCH signal as a signal reconstructed by the signal reconstruction module.
6. The estimation system of claim 5, further comprising a signal sampling module;
the signal sampling module is configured to:
acquiring signal sampling data;
performing sliding correlation operation on 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 of the next period and serve as the initial position of the sampling data of the second grabbing signal;
and extracting the DMRS and the PBCH signals from the signal sampling data acquired for the second time according to the relative positions of the PBCH and the DMRS.
7. The estimation system of claim 5, wherein the signal reconstruction module is configured to:
scrambling the information bits after demodulating the PBCH signal to generate a scrambled sequence;
adding CRC to the scrambled sequence;
performing polarization code coding on the sequences added with CRC;
performing rate matching on the coded sequence;
QPSK modulation is carried out on the matched sequences;
RE mapping is carried out on the modulated symbols so as to obtain reconstructed PBCH signals.
8. An estimation system as claimed in any one of claims 5 to 7, wherein the estimation system is applied to an initial network finding phase of an NR device.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for estimating a frequency offset value based on signal reconstruction as claimed in any of the claims 1-4 when the computer program is executed.
10. A computer readable medium having stored thereon computer instructions, which when executed by a processor implement the steps of the method of estimating frequency offset values based on signal reconstruction according to any of claims 1 to 4.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011086108.9A CN112202694B (en) | 2020-10-12 | 2020-10-12 | Estimation method and system of frequency offset value based on signal reconstruction |
| PCT/CN2021/123365 WO2022078349A1 (en) | 2020-10-12 | 2021-10-12 | Frequency offset value estimation method and system based on signal reconstruction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011086108.9A CN112202694B (en) | 2020-10-12 | 2020-10-12 | Estimation method and system of frequency offset value based on signal reconstruction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112202694A CN112202694A (en) | 2021-01-08 |
| CN112202694B true CN112202694B (en) | 2023-05-12 |
Family
ID=74013462
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011086108.9A Active CN112202694B (en) | 2020-10-12 | 2020-10-12 | Estimation method and system of frequency offset value based on signal reconstruction |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112202694B (en) |
| WO (1) | WO2022078349A1 (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112202694B (en) * | 2020-10-12 | 2023-05-12 | 展讯通信（上海）有限公司 | Estimation method and system of frequency offset value based on signal reconstruction |
| CN114978838B (en) * | 2022-05-11 | 2024-05-14 | 华中科技大学 | Anti-harmonic interference polar code modulation method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102469060A (en) * | 2011-06-30 | 2012-05-23 | 重庆重邮信科通信技术有限公司 | Synchronous estimating method and device of OFDM system |
| CN110582979A (en) * | 2017-05-05 | 2019-12-17 | 索尼公司 | Communication device, infrastructure equipment and method |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8238482B2 (en) * | 2008-10-14 | 2012-08-07 | Apple Inc. | Techniques for improving channel estimation and tracking in a wireless communication system |
| CN102045815B (en) * | 2009-10-10 | 2013-01-30 | 中国科学院计算技术研究所 | Cell searching device and method used for LTE (Long Term Evolution) system |
| CN103825847B (en) * | 2012-11-19 | 2018-03-20 | 中兴通讯股份有限公司 | A kind of channel disturbance offsets method, apparatus and base station |
| CN106028436B (en) * | 2016-04-28 | 2019-10-25 | 华为技术有限公司 | A kind of method and user terminal of time-frequency offset compensation |
| CN110445734B (en) * | 2018-05-03 | 2022-03-18 | 展讯通信（上海）有限公司 | Frequency offset estimation method and device, storage medium and terminal |
| CN112602276A (en) * | 2018-08-20 | 2021-04-02 | 苹果公司 | Fast initial acquisition by transmitting non-orthogonal synchronization signal blocks in 5G new radio |
| KR102181292B1 (en) * | 2019-01-04 | 2020-11-20 | 주식회사 지씨티리써치 | Pbch signal accumulation method and pbch decoder for improving performance of 5g nr receiver |
| CN111064688B (en) * | 2019-12-16 | 2022-01-28 | 重庆邮电大学 | SS/PBCH block complete detection method for 5G system cell search |
| CN111010359B (en) * | 2019-12-19 | 2022-06-03 | 紫光展锐(重庆)科技有限公司 | Timing and frequency offset estimation method and device based on PBCH (physical broadcast channel), and terminal equipment |
| CN111245750B (en) * | 2020-01-08 | 2023-03-31 | 紫光展锐(重庆)科技有限公司 | Frequency offset estimation method, device and storage medium |
| CN112202694B (en) * | 2020-10-12 | 2023-05-12 | 展讯通信（上海）有限公司 | Estimation method and system of frequency offset value based on signal reconstruction |
-
2020
- 2020-10-12 CN CN202011086108.9A patent/CN112202694B/en active Active
-
2021
- 2021-10-12 WO PCT/CN2021/123365 patent/WO2022078349A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102469060A (en) * | 2011-06-30 | 2012-05-23 | 重庆重邮信科通信技术有限公司 | Synchronous estimating method and device of OFDM system |
| CN110582979A (en) * | 2017-05-05 | 2019-12-17 | 索尼公司 | Communication device, infrastructure equipment and method |
Non-Patent Citations (1)
| Title |
|---|
| "R1-1716277 Intel pbch design".3GPP tsg_ran\WG1_RL1.2017,全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022078349A1 (en) | 2022-04-21 |
| CN112202694A (en) | 2021-01-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2691885C2 (en) | Method of matching rate of polar code and device for matching speed of polar code | |
| CN112713912B (en) | Spread spectrum index modulation and demodulation communication method, transmitter, receiver and storage medium | |
| CN112202694B (en) | Estimation method and system of frequency offset value based on signal reconstruction | |
| CN110445734B (en) | Frequency offset estimation method and device, storage medium and terminal | |
| US20200076370A1 (en) | Method and device for fsk/gfsk demodulation | |
| CN113141195A (en) | Demodulation method for dispreading in direct sequence spread spectrum system and storage medium | |
| CN110249542B (en) | Digital radio communication | |
| CN115362658A (en) | Apparatus and method for flexible cell selection | |
| CN111641420A (en) | Signal detection and acquisition method, device, receiver and storage medium | |
| CN111404853A (en) | Carrier frequency offset estimation method, device and computer storage medium | |
| CN112671430B (en) | Code division multiplexing spread spectrum index modulation and demodulation communication method, transmitter and receiver | |
| CN112929904B (en) | Information transmission method and device, communication equipment and storage medium | |
| TW202145732A (en) | Spread spectrum signal sending and receiving method, device and equipment and medium | |
| CN111431553A (en) | Signal transmission method, system, electronic device and storage medium | |
| CN108023850B (en) | Wireless communication method and device | |
| US20230261912A1 (en) | A communication unit for soft-decision demodulation and method therefor | |
| CN115022128B (en) | CSK modulation high-efficiency demodulation algorithm based on parity block FFT | |
| CN114430309B (en) | Blind detection method, device, equipment and medium for narrowband physical downlink control channel | |
| CN112788631B (en) | Information transmission method and device, communication equipment and storage medium | |
| CN113613312B (en) | Method and device for analyzing main information of physical broadcast channel and base station communication system | |
| US20130083872A1 (en) | Method for coherent and non coherent demodulation | |
| US20080049821A1 (en) | Modulation scheme deciding apparatus, receiving apparatus, modulation scheme deciding method and modulation scheme deciding program | |
| CN113271170B (en) | Decoding assistance-based VLBI data processing method, device and computer storage medium | |
| KR100759801B1 (en) | Apparatus and method for deciding the received symbol in M-PSK system | |
| EP2515456B1 (en) | Receiving apparatus and method for multi-frame synchronization |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |