CN114070703B - General method and system for tracking and compensating frequency offset estimation under low signal-to-noise ratio - Google Patents
General method and system for tracking and compensating frequency offset estimation under low signal-to-noise ratio Download PDFInfo
- Publication number
- CN114070703B CN114070703B CN202111367063.7A CN202111367063A CN114070703B CN 114070703 B CN114070703 B CN 114070703B CN 202111367063 A CN202111367063 A CN 202111367063A CN 114070703 B CN114070703 B CN 114070703B
- Authority
- CN
- China
- Prior art keywords
- frequency offset
- value
- signal
- offset estimation
- received signal
- 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
- 238000007429 general method Methods 0.000 title claims abstract description 18
- 230000033001 locomotion Effects 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000013508 migration Methods 0.000 claims description 3
- 230000005012 migration Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 229910052741 iridium Inorganic materials 0.000 description 4
- GKOZUEZYRPOHIO-UHFFFAOYSA-N iridium atom Chemical compound [Ir] GKOZUEZYRPOHIO-UHFFFAOYSA-N 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
- H04L27/2657—Carrier synchronisation
- H04L27/2659—Coarse or integer frequency offset determination and synchronisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2647—Arrangements specific to the receiver only
- H04L27/2655—Synchronisation arrangements
- H04L27/2657—Carrier synchronisation
- H04L27/266—Fine or fractional frequency offset determination and synchronisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0014—Carrier regulation
- H04L2027/0024—Carrier regulation at the receiver end
- H04L2027/0026—Correction of carrier offset
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Radio Relay Systems (AREA)
Abstract
The invention provides a general method and a system for tracking and compensating frequency offset estimation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system, wherein the general method comprises the following steps: s1, performing de-modulation on a received signal to obtain a de-modulated received signal; s2, performing fast Fourier transform on the de-modulated received signal to obtain a frequency domain signal, and performing data movement on the frequency domain signal; s3, obtaining the maximum absolute value and the maximum position of the frequency domain signal after data movement; s4, calculating a coarse frequency offset estimation value according to the maximum value position; s5, calculating an offset value according to the maximum value position and the frequency domain signal after data movement; s6, calculating a fine frequency offset estimated value according to the offset value; s7, obtaining a total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value; s8, carrying out frequency offset tracking compensation on the received signal according to the total frequency offset value. The invention can realize the frequency offset estimation tracking and compensation of the small frequency offset signal under the low signal-to-noise ratio.
Description
Technical Field
The invention relates to the technical field of satellite communication, in particular to a general method and a general system for frequency offset estimation tracking and compensation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system.
Background
Satellites can be classified into GEO (high orbit) satellites, MEO (medium orbit) satellites, LEO (low orbit) satellites according to orbital heights. High orbit (GEO) satellites possess unique advantages such as coverage area advantages, satellite networking advantages, satellite life advantages, etc. However, since the high-orbit satellites belong to strategic resources, the orbit resources thereof are quite intense, and thus it is very necessary to develop the medium-low orbit satellites. The medium-low orbit scheme provides a new space for the development of satellites, has rich medium-low orbit resources and can realize three-dimensional layout: multiple heights, multiple track surfaces. Besides the expansion of resources, the medium-low orbit satellite has the advantages that the communication time delay is far smaller than that of a large satellite with synchronous orbit and the development and emission cost of a single satellite is far lower than that of a large satellite with synchronous orbit, so that the new application field can be expanded, and the threshold of participating in commercial application is reduced.
Due to the advantages of low-orbit satellites, the low-orbit constellation system starts to be developed and deployed in the beginning of the 90 th century of 20 th century. Iridium of the Motorola design was first launched in 1997, and mobile communication service was formally provided in 1998, so that the iridium is the first large-scale low-orbit mobile satellite system in use in the world. Iridium is banned in 2000, however, due to excessive satellite manufacturing, transmission and operating costs, and inadequate market demands, but is subsequently purchased and continuously operated by the U.S. government. In 2014, with the progress of aerospace technology and the rise of commercial aerospace companies, the cost of low-orbit constellations is greatly reduced; in addition, the Internet era has a great amount of data requirements, new generation aerospace enterprises such as OneWed, spaceX are rushed into the low-orbit satellite market, the establishment of the Internet of the satellite is aimed, and the low-orbit constellation market is forcefully resuscitated. Iridium completes the deployment of a second generation system in 2019, estimated to be 25 hundred million dollars, the total emission of a new generation low-orbit constellation which completes registration worldwide at present is more than ten thousand, and the low-orbit satellite caters to the second industry surge.
In low orbit satellite and terminal communication, because of the high-speed relative motion, the received signal will have a changed doppler frequency offset due to the doppler effect, and the doppler frequency offset and its change rate will have a great influence on carrier acquisition, especially under low signal-to-noise ratio. When a satellite terminal transmits a reverse signal, frequency offset needs to be pre-compensated, and when the satellite receives the reverse signal, the reverse signal is a small frequency offset signal, so that frequency offset estimation tracking and compensation of the small frequency offset signal becomes a big bottleneck of reverse link demodulation of a low-orbit satellite under the condition of low signal-to-noise ratio.
Disclosure of Invention
The invention aims to provide a general method and a general system for frequency offset estimation tracking and compensation under a low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system, so as to realize the frequency offset estimation tracking and compensation of a small frequency offset signal under the low signal-to-noise ratio.
The invention provides a general method for frequency offset estimation tracking and compensation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system, which comprises the following steps:
s1, performing de-modulation on a received signal to obtain a de-modulated received signal;
s2, performing fast Fourier transform on the de-modulated received signal to obtain a frequency domain signal, and performing data movement on the frequency domain signal;
s3, obtaining the maximum absolute value and the maximum position of the frequency domain signal after data movement;
s4, calculating a coarse frequency offset estimation value according to the maximum value position;
s5, calculating an offset value according to the maximum value position and the frequency domain signal after data movement;
s6, calculating a fine frequency offset estimated value according to the offset value;
s7, obtaining a total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value;
s8, carrying out frequency offset tracking compensation on the received signal according to the total frequency offset value.
Further, in step S1, the method for demodulating the received signal includes:
(1) When pilot frequency exists for the reference waveform, the local sequence comprises the preamble, pilot frequency and postamble of the reference waveform; multiplying the received signal with the conjugate of the local sequence to obtain a de-modulated received signal;
(2) And when the reference waveform does not have pilot frequency, 4 times of processing is carried out on the received signal, and a de-modulated received signal is obtained.
Further, in step S4, the method for calculating the coarse frequency offset estimation value according to the maximum value position includes:
subtracting one half of the number of points for performing the fast Fourier transform from the value of the maximum position, subtracting 1, dividing the obtained result by the number of points for performing the fast Fourier transform, and multiplying the divided result by the symbol rate to obtain a product which is the coarse frequency offset estimated value delta f1.
Further, in step S5, the method for calculating the offset value according to the maximum value position and the frequency domain signal after the data movement is as follows:
squaring the frequency domain signal after data movement, obtaining energy of each point, and respectively taking out energy Ec at the maximum position, energy El at the left side of the maximum position and energy Er at the right side of the maximum position;
calculating a difference a=er-El;
calculating a difference b=2×ec-Er-El;
the offset value delta=0.5×a/B is calculated.
Further, in step S6, the method for calculating the fine frequency offset estimation value according to the offset value includes:
dividing the offset value delta by the number of points performing the fast fourier transform, the division result multiplying by the symbol rate:
(1) When pilot frequency exists for the reference waveform, the product of the obtained result multiplied by the symbol rate is the fine frequency offset estimated value delta f2;
(2) And when the reference waveform has no pilot frequency, dividing the product of the obtained result multiplied by the symbol rate by 4 to obtain a fine frequency offset estimation value delta f2.
Further, in step S7, the method for obtaining the total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value includes:
and adding the coarse frequency offset estimation value delta f1 and the fine frequency offset estimation value delta f2 to obtain a total frequency offset value delta f=delta f1+delta f2.
Further, in step S8, frequency offset tracking compensation is performed on the received signal according to the total frequency offset value:
calculating the length L of a received signal;
multiplying the received signal by e -j×2πΔf×[0:L-1] And carrying out frequency offset tracking compensation to obtain a received signal after the frequency offset tracking compensation.
The invention provides a general system for frequency offset estimation tracking and compensation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system, which comprises:
the demodulation module is used for demodulating the received signal to obtain a demodulated received signal;
the FFT module is used for carrying out fast Fourier transform on the received signals after demodulation to obtain frequency domain signals and carrying out data migration on the frequency domain signals;
the maximum value calculating module is used for calculating the absolute value maximum value and the maximum value position of the frequency domain signal after data movement;
the coarse frequency offset calculation module is used for calculating a coarse frequency offset estimation value according to the maximum value position;
the interpolation module is used for calculating an offset value according to the maximum value position and the frequency domain signal after data movement;
the fine frequency offset calculation module is used for calculating a fine frequency offset estimation value according to the offset value;
the total frequency offset calculation module is used for obtaining a total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value;
and the frequency offset tracking compensation module is used for carrying out frequency offset tracking compensation on the received signal according to the total frequency offset value.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
the invention can realize the frequency offset estimation tracking and compensation of the small frequency offset signal under the low signal-to-noise ratio. And 20 reference waveforms can be processed simultaneously.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly describe the drawings in the embodiments, it being understood that the following drawings only illustrate some embodiments of the present invention and should not be considered as limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a general method for tracking and compensating frequency offset estimation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system according to embodiment 1 of the present invention.
Fig. 2 is a block diagram of a general system for tracking and compensating frequency offset estimation based on low signal-to-noise ratio of low-orbit satellite DVB-RCS2 system according to embodiment 2 of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, this embodiment proposes a general method for tracking and compensating frequency offset estimation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system, which includes the following steps:
s1, performing de-modulation on a received signal to obtain a de-modulated received signal:
(1) When pilot frequency exists for the reference waveform, the local sequence comprises the preamble, pilot frequency and postamble of the reference waveform; multiplying the received signal with the conjugate of the local sequence to obtain a de-modulated received signal;
(2) And when the reference waveform does not have pilot frequency, 4 times of processing is carried out on the received signal, and a de-modulated received signal is obtained.
S2, performing fast Fourier transform on the de-modulated received signal to obtain a frequency domain signal, and performing data movement on the frequency domain signal:
(1) Performing 2048-point Fast Fourier Transform (FFT) on data with burst length 536;
(2) A 4096-point Fast Fourier Transform (FFT) is performed on data with burst length 1616.
The data moving means that the left half frequency domain data and the right half frequency domain data in the frequency domain data are exchanged, that is, the left half frequency domain data is moved to the right, and the right half frequency domain data is moved to the left, so that the negative frequency domain data is in front, and the positive frequency domain data is in back.
S3, obtaining the maximum absolute value and the maximum position of the frequency domain signal after data movement:
s4, calculating a coarse frequency offset estimation value according to the maximum value position:
subtracting one half of the number of points for performing the fast Fourier transform from the value of the maximum position, subtracting 1, dividing the obtained result by the number of points for performing the fast Fourier transform, and multiplying the divided result by the symbol rate to obtain a product which is the coarse frequency offset estimated value delta f1.
S5, calculating offset values according to the maximum value position and the frequency domain signals after data movement:
squaring the frequency domain signal after data movement, obtaining energy of each point, and respectively taking out energy Ec at the maximum position, energy El at the left side of the maximum position and energy Er at the right side of the maximum position;
calculating a difference a=er-El;
calculating a difference b=2×ec-Er-El;
the offset value delta=0.5×a/B is calculated.
S6, calculating a fine frequency offset estimated value according to the offset value:
dividing the offset value delta by the number of points performing the fast fourier transform, the division result multiplying by the symbol rate:
(1) When pilot frequency exists for the reference waveform, the product of the obtained result multiplied by the symbol rate is the fine frequency offset estimated value delta f2;
(2) And when the reference waveform has no pilot frequency, dividing the product of the obtained result multiplied by the symbol rate by 4 to obtain a fine frequency offset estimation value delta f2.
S7, obtaining a total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value:
and adding the coarse frequency offset estimation value delta f1 and the fine frequency offset estimation value delta f2 to obtain a total frequency offset value delta f=delta f1+delta f2.
S8, carrying out frequency offset tracking compensation on the received signal according to the total frequency offset value:
calculating the length L of a received signal;
multiplying the received signal by e -j×2πΔf×[0:L-1] And carrying out frequency offset tracking compensation to obtain a received signal after the frequency offset tracking compensation.
The physical frame burst packet based on the low orbit satellite DVB-RCS2 system consists of a preamble, a postamble, a pilot frequency and data. There are burst packets of both 536 and 1616 lengths. The reference waveforms are 20 kinds as shown in table 1.
Table 1:
as can be seen from Table 1, the reference waveform 13 has a minimum signal-to-noise ratio of-0.8 dB, and the minimum operating signal-to-noise ratio of the frequency offset tracking is-2.8 dB, taking into account the 2dB margin. The general method for tracking and compensating the frequency offset estimation under the low signal-to-noise ratio can process 20 reference waveforms simultaneously.
Example 2
Based on the general method for tracking and compensating frequency offset estimation under low signal-to-noise ratio of the low-orbit satellite DVB-RCS2 system proposed in the embodiment 1, as shown in fig. 2, the general system for tracking and compensating frequency offset estimation under low signal-to-noise ratio of the low-orbit satellite DVB-RCS2 system is realized in the embodiment, and comprises:
the demodulation module is used for demodulating the received signal to obtain a demodulated received signal;
the FFT module is used for carrying out fast Fourier transform on the received signals after demodulation to obtain frequency domain signals and carrying out data migration on the frequency domain signals;
the maximum value calculating module is used for calculating the absolute value maximum value and the maximum value position of the frequency domain signal after data movement;
the coarse frequency offset calculation module is used for calculating a coarse frequency offset estimation value according to the maximum value position;
the interpolation module is used for calculating an offset value according to the maximum value position and the frequency domain signal after data movement;
the fine frequency offset calculation module is used for calculating a fine frequency offset estimation value according to the offset value;
the total frequency offset calculation module is used for obtaining a total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value;
and the frequency offset tracking compensation module is used for carrying out frequency offset tracking compensation on the received signal according to the total frequency offset value.
The above-mentioned functional modules in the general system are executed with reference to the procedure of embodiment 1, and are not described herein.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The general method for tracking and compensating frequency offset estimation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system is characterized by comprising the following steps:
s1, performing de-modulation on a received signal to obtain a de-modulated received signal;
s2, performing fast Fourier transform on the de-modulated received signal to obtain a frequency domain signal, and performing data movement on the frequency domain signal; the data moving means that left half frequency domain data and right half frequency domain data in the frequency domain data are exchanged;
s3, obtaining the maximum absolute value and the maximum position of the frequency domain signal after data movement;
s4, calculating a coarse frequency offset estimation value according to the maximum value position;
s5, calculating an offset value according to the maximum value position and the frequency domain signal after data movement;
s6, calculating a fine frequency offset estimated value according to the offset value;
s7, obtaining a total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value;
s8, carrying out frequency offset tracking compensation on the received signal according to the total frequency offset value.
2. The general method for tracking and compensating frequency offset estimation under low signal-to-noise ratio based on low-orbit satellite DVB-RCS2 system according to claim 1, wherein the method for de-modulating the received signal in step S1 is as follows:
(1) When pilot frequency exists for the reference waveform, the local sequence comprises the preamble, pilot frequency and postamble of the reference waveform; multiplying the received signal with the conjugate of the local sequence to obtain a de-modulated received signal;
(2) And when the reference waveform does not have pilot frequency, 4 times of processing is carried out on the received signal, and a de-modulated received signal is obtained.
3. The general method for tracking and compensating frequency offset estimation under low signal-to-noise ratio based on low-orbit satellite DVB-RCS2 system according to claim 2, wherein the method for calculating the coarse frequency offset estimation value according to the maximum value position in step S4 is as follows:
subtracting one half of the number of points for performing the fast Fourier transform from the value of the maximum position, subtracting 1, dividing the obtained result by the number of points for performing the fast Fourier transform, and multiplying the divided result by the symbol rate to obtain a product which is the coarse frequency offset estimated value delta f1.
4. The general method for tracking and compensating frequency offset estimation in low signal to noise ratio based on low-orbit satellite DVB-RCS2 system according to claim 3, wherein the method for calculating offset value according to the maximum position and the frequency domain signal after data movement in step S5 is as follows:
squaring the frequency domain signal after data movement, obtaining energy of each point, and respectively taking out energy Ec at the maximum position, energy El at the left side of the maximum position and energy Er at the right side of the maximum position;
calculating a difference a=er-El;
calculating a difference b=2×ec-Er-El;
the offset value delta=0.5×a/B is calculated.
5. The general method for tracking and compensating frequency offset estimation in low signal to noise ratio based on low-orbit satellite DVB-RCS2 system according to claim 4, wherein the method for calculating the fine frequency offset estimation value according to the offset value in step S6 is as follows:
dividing the offset value delta by the number of points performing the fast fourier transform, the division result multiplying by the symbol rate:
(1) When pilot frequency exists for the reference waveform, the product of the obtained result multiplied by the symbol rate is the fine frequency offset estimated value delta f2;
(2) And when the reference waveform has no pilot frequency, dividing the product of the obtained result multiplied by the symbol rate by 4 to obtain a fine frequency offset estimation value delta f2.
6. The general method for tracking and compensating frequency offset estimation based on low signal to noise ratio of low-orbit satellite DVB-RCS2 system according to claim 5, wherein the method for obtaining the total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value in step S7 is as follows:
and adding the coarse frequency offset estimation value delta f1 and the fine frequency offset estimation value delta f2 to obtain a total frequency offset value delta f=delta f1+delta f2.
7. The general method for tracking and compensating frequency offset estimation based on low signal-to-noise ratio of low-orbit satellite DVB-RCS2 system according to claim 6, wherein in step S8, frequency offset tracking compensation is performed on the received signal according to the total frequency offset value:
calculating the length L of a received signal;
multiplying the received signal by e -j×2πΔf×[0:L-1] And carrying out frequency offset tracking compensation to obtain a received signal after the frequency offset tracking compensation.
8. A universal system for tracking and compensating frequency offset estimation under low signal-to-noise ratio based on a low-orbit satellite DVB-RCS2 system, comprising:
the demodulation module is used for demodulating the received signal to obtain a demodulated received signal;
the FFT module is used for carrying out fast Fourier transform on the received signals after demodulation to obtain frequency domain signals and carrying out data migration on the frequency domain signals; the data moving means that left half frequency domain data and right half frequency domain data in the frequency domain data are exchanged;
the maximum value calculating module is used for calculating the absolute value maximum value and the maximum value position of the frequency domain signal after data movement;
the coarse frequency offset calculation module is used for calculating a coarse frequency offset estimation value according to the maximum value position;
the interpolation module is used for calculating an offset value according to the maximum value position and the frequency domain signal after data movement;
the fine frequency offset calculation module is used for calculating a fine frequency offset estimation value according to the offset value;
the total frequency offset calculation module is used for obtaining a total frequency offset value according to the coarse frequency offset estimation value and the fine frequency offset estimation value;
and the frequency offset tracking compensation module is used for carrying out frequency offset tracking compensation on the received signal according to the total frequency offset value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111367063.7A CN114070703B (en) | 2021-11-18 | 2021-11-18 | General method and system for tracking and compensating frequency offset estimation under low signal-to-noise ratio |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111367063.7A CN114070703B (en) | 2021-11-18 | 2021-11-18 | General method and system for tracking and compensating frequency offset estimation under low signal-to-noise ratio |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114070703A CN114070703A (en) | 2022-02-18 |
| CN114070703B true CN114070703B (en) | 2024-01-19 |
Family
ID=80278387
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111367063.7A Active CN114070703B (en) | 2021-11-18 | 2021-11-18 | General method and system for tracking and compensating frequency offset estimation under low signal-to-noise ratio |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114070703B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115174336B (en) * | 2022-07-20 | 2023-10-31 | 成都中科微信息技术研究院有限公司 | Frequency offset estimation method, medium and device of DVB-RCS2 system |
| CN115913339B (en) * | 2023-01-05 | 2023-05-30 | 北京太极疆泰科技发展有限公司 | Low-orbit satellite high-dynamic frequency acquisition tracking method, server and storage medium |
| CN116073892B (en) * | 2023-03-21 | 2023-07-18 | 中国电子科技集团公司第五十四研究所 | Demodulation method and device for service channel of low-orbit satellite communication system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101945078A (en) * | 2010-09-28 | 2011-01-12 | 东南大学 | Frequency deviation estimation method based on noise subspace |
| CN103259756A (en) * | 2013-04-19 | 2013-08-21 | 东南大学 | Method of symbol timing synchronization and carrier synchronization applied to OFDM system |
| CN104168227A (en) * | 2014-08-04 | 2014-11-26 | 东南大学 | Carrier synchronization method applied to orthogonal frequency division multiplexing system |
| CN106027454A (en) * | 2016-04-02 | 2016-10-12 | 上海大学 | Frequency offset estimation method of QAM (Quadrature Amplitude Modulation) signal based on frequency compensation |
| WO2017092490A1 (en) * | 2015-12-04 | 2017-06-08 | 大唐移动通信设备有限公司 | Frequency offset processing method and system |
| CN110545121A (en) * | 2019-08-14 | 2019-12-06 | 湖北三江航天险峰电子信息有限公司 | Satellite communication method and module |
| CN110831147A (en) * | 2019-11-08 | 2020-02-21 | 北京邮电大学 | Carrier frequency synchronization method suitable for millimeter wave intersatellite link |
| CN111064687A (en) * | 2019-11-19 | 2020-04-24 | 北京国电高科科技有限公司 | Frequency and phase compensation method and device |
| CN113541766A (en) * | 2021-07-02 | 2021-10-22 | 东方红卫星移动通信有限公司 | Method, system and terminal for rapidly capturing frequency of low-earth-orbit satellite communication system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8493907B2 (en) * | 2011-06-29 | 2013-07-23 | Broadcom Corporation | Frequency offset estimation scheme in scheduled based wireless system |
-
2021
- 2021-11-18 CN CN202111367063.7A patent/CN114070703B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101945078A (en) * | 2010-09-28 | 2011-01-12 | 东南大学 | Frequency deviation estimation method based on noise subspace |
| CN103259756A (en) * | 2013-04-19 | 2013-08-21 | 东南大学 | Method of symbol timing synchronization and carrier synchronization applied to OFDM system |
| CN104168227A (en) * | 2014-08-04 | 2014-11-26 | 东南大学 | Carrier synchronization method applied to orthogonal frequency division multiplexing system |
| WO2017092490A1 (en) * | 2015-12-04 | 2017-06-08 | 大唐移动通信设备有限公司 | Frequency offset processing method and system |
| CN106027454A (en) * | 2016-04-02 | 2016-10-12 | 上海大学 | Frequency offset estimation method of QAM (Quadrature Amplitude Modulation) signal based on frequency compensation |
| CN110545121A (en) * | 2019-08-14 | 2019-12-06 | 湖北三江航天险峰电子信息有限公司 | Satellite communication method and module |
| CN110831147A (en) * | 2019-11-08 | 2020-02-21 | 北京邮电大学 | Carrier frequency synchronization method suitable for millimeter wave intersatellite link |
| CN111064687A (en) * | 2019-11-19 | 2020-04-24 | 北京国电高科科技有限公司 | Frequency and phase compensation method and device |
| CN113541766A (en) * | 2021-07-02 | 2021-10-22 | 东方红卫星移动通信有限公司 | Method, system and terminal for rapidly capturing frequency of low-earth-orbit satellite communication system |
Non-Patent Citations (4)
| Title |
|---|
| 一种新的卫星移动通信频率偏移估计算法;高建贞;吕宗琦;司伟立;韩娟;胡金龙;;通信与广播电视(Z1);全文 * |
| 低信噪比下时频联合的载波同步算法;孙锦华;韩会梅;;西安交通大学学报(02);全文 * |
| 卫星移动通信信号处理同步技术研究;陈志星;杨金孝;纪鹏;;计算机测量与控制(06);全文 * |
| 次优解频移补偿的频率与相位联合估计器;吴艺彬;邵高平;;信息工程大学学报(02);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114070703A (en) | 2022-02-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114070703B (en) | General method and system for tracking and compensating frequency offset estimation under low signal-to-noise ratio | |
| CN101341677B (en) | Inter-carrier interference removal device and reception device using the same | |
| Hsieh et al. | A low-complexity frame synchronization and frequency offset compensation scheme for OFDM systems over fading channels | |
| US6751274B2 (en) | Apparatus and method for channel estimation in radio communication system | |
| US20020044593A1 (en) | Adaptive channel estimation using continuous pilot signal based on doppler period | |
| CN110798422A (en) | Low earth orbit satellite multi-carrier communication system downlink sampling frequency offset estimation and compensation method | |
| CN101636997B (en) | Method and apparatus for digital signal reception | |
| Lin et al. | Map estimation based on Doppler characterization in broadband and mobile LEO satellite communications | |
| EP1901506B1 (en) | Inter-symbol interference cancellation method for orthogonal frequency division multiple access system | |
| CN114641061B (en) | Method for detecting cascade long leader sequence of air-to-ground random access | |
| CN101741775B (en) | Taylor expansion-based single-frequency OFDM time-varying channel estimation method | |
| CN113422745A (en) | Air-sea wireless channel estimation method based on deep learning | |
| JP2009177341A (en) | Radio receiver, and radio reception method | |
| CN101536339B (en) | Iterative detection and cancellation for wireless communication | |
| CN105119701A (en) | Low complexity synchronization method of satellite AIS ship positioning system | |
| CN101938450A (en) | Method and device for measuring SNR of high-order QAM | |
| Yamamura et al. | High mobility OFDM transmission system by a new channel estimation and ISI cancellation scheme using characteristics of pilot symbol inserted OFDM signal | |
| CN113824666B (en) | Channel estimation method and device for satellite mobile OFDM communication system | |
| Kuniyoshi et al. | An ICI Canceling 5G system receiver for 500km/h linear motor car | |
| CN108377544B (en) | Timing synchronization method under high-speed mobile environment | |
| CN104348775A (en) | Wireless signal receiving machine and wireless signal receiving method | |
| Wang et al. | Computing resource multiplexed carrier synchronization joint coherent demodulation of Leo satellite communication ASIC | |
| CN115378494B (en) | OTFS-based low-orbit satellite navigation integrated transmission method and system | |
| CN116527464B (en) | Single carrier frequency domain equalization method and system for channel estimation based on cyclic prefix and postfix | |
| JP2001156742A (en) | Ofdm receiver |
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 |