CN114006649A - Satellite communication double-chirp signal judgment method - Google Patents

Satellite communication double-chirp signal judgment method Download PDF

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CN114006649A
CN114006649A CN202111273258.5A CN202111273258A CN114006649A CN 114006649 A CN114006649 A CN 114006649A CN 202111273258 A CN202111273258 A CN 202111273258A CN 114006649 A CN114006649 A CN 114006649A
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frequency
peak
receiving end
threshold value
signals
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薛宝
刘若堃
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Chongqing Liangjiang Satellite Mobile Communication Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/14Relay systems
    • H04B7/15Active relay systems
    • H04B7/185Space-based or airborne stations; Stations for satellite systems
    • H04B7/1851Systems using a satellite or space-based relay
    • H04B7/18513Transmission in a satellite or space-based system
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • H04L27/2647Arrangements specific to the receiver only
    • H04L27/2655Synchronisation arrangements
    • 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

Abstract

The invention discloses a method for judging satellite communication double-chirp signals, which is characterized in that a relatively low power threshold value is set on the basis of simulation, and then a threshold value is passed but a non-correct value is screened out, so that the traditional capturing method is perfected, the probability of missed judgment and erroneous judgment can be effectively reduced, multiple synchronous attempts caused by missed judgment are avoided, invalid calculation caused by erroneous judgment is avoided, the synchronous success rate is remarkably increased, the synchronous time is shortened, and a satellite terminal can quickly synchronize signals. Specifically, the threshold value is reduced to avoid the missing judgment, the range of the signal primary screening is enlarged, and the error value caused by the reduction of the threshold value is eliminated through secondary screening, so that the occurrence of the erroneous judgment is avoided. Finally, tiny errors of effective data in the transmission process are eliminated through data correction, and the accuracy of received signals is guaranteed to a greater extent.

Description

Satellite communication double-chirp signal judgment method
Technical Field
The invention relates to the field of communication, in particular to a method for judging a satellite communication double-chirp signal.
Background
The Chirp signal is a typical non-stationary signal, the proposal of Spread Spectrum (Spread Spectrum) communication concept in the middle of the 20 th 50 s and the pulse compression technology which is started to rise in the radar signal processing field in the early 60 s are provided, and researchers are trying to realize anti-interference wireless communication by using the pulse compression characteristic of the Chirp signal with large time bandwidth product. Winkler proposed the concept of wireless communication using binary symbols represented as a pair of Chirp signals (dual Chirp signals) with opposite frequency modulation rates in 1962, which was considered to be the beginning of the use of Chirp spread spectrum (Chirp SS) modulation techniques for digital wireless communication.
In a satellite mobile communication system, frequency synchronization and timing synchronization are prerequisites for terminal network entry. In a narrow-band satellite mobile system, a frequency correction channel dual-Chirp signal is often adopted to obtain processing gain, so that a terminal estimates a frequency error and a timing error simultaneously according to the dual-Chirp signal.
The form of the Chirp signal is generally expressed as: s (T) ═ p (T) [ cons (u pi (T-T) ]1/2)2)]In the formula, u (T-T)1(2) denotes the instantaneous frequency, p (T) is a value within (-T)1/2,T1A unit square pulse having 1 in s (t) and 0 in the rest, and a sweep frequency range of s (t) of (-uT)1/2,uT1/2) signal bandwidth of uT1S (T) signal duration of T1Matching correlation is performed on the whole chirp signal, and the obtained demodulation processing gain is uT1.T1. Chirp signal parameter values u and T1Constrained by indexes such as system frequency precision, Doppler frequency shift and the like. The parameter design should be performed such that the frequency variation range covers the initial maximum frequency difference of the system, and the timing precision requirement of the system and the processing gain should be large.
The acquisition process of the Chirp signal by the receiver is shown in the attached figure 1. Firstly, multiplying a local upper sweep frequency signal, a local lower sweep frequency signal and a received signal respectively; then, Fourier transform is carried out on the multiplied signals, and peak frequency is solved; and finally, completing timing synchronization according to the 2 peak frequencies and the change rule thereof, and solving the carrier frequency difference.
Multiplying the local upper sweep frequency by the received signal, and dispersing the energy of the upper sweep frequency part signal in the received signal on each frequency point; and for the lower swept portion of the received signal is left by tdAnd fdThe peak frequency of the generated single-frequency signal is easy to be calculated. Down-scanning signal
Figure BDA0003328539180000011
And a sweep-up signal
Figure BDA0003328539180000012
fdIs the frequency difference between transceivers, tdFor the peak frequency f of the path of the time difference between the locally generated correlation signal and the received signal1=fd-vtd
Multiplication of local down-sweep frequency and received signal, its process and analysis are similar to up-sweep frequency, and f can be obtained2=fd+utd
Synthesis f1And f2Thereby obtaining:
Figure BDA0003328539180000013
generally, if dual Chirp signals are used as beacons for periodic transmission in a satellite communication system, a terminal receives at least one or more periods of signals and uses a sliding window to attempt to acquire the dual Chirp signals. For certain sliding window data, considering that a Chirp signal may exist or partially exists or does not exist, a threshold mode is generally adopted to judge whether a current peak value is available.
Due to the existence of multipath fading and Doppler frequency shift in the mobile channel, the receiving level and the receiving signal-to-noise ratio of the terminal change greatly, the threshold judgment is complex, and a plurality of influence factors exist in the determination of a reasonable threshold value. If the threshold value is too high, the judgment is missed, and if the threshold value is too low, the judgment is easy to be mistaken. In addition, due to the influence of a complex channel environment, the peak value is not necessarily an accurate frequency deviation point, and may be a second largest value or a third largest value, which is an optimal value, so that an error occurs in data transmission of the satellite communication system.
Disclosure of Invention
According to analysis of the traditional dual-Chirp signal capturing method, it can be seen that accurate and reliable solving of the peak frequency is the key for Chirp signal capturing. Because the peak values are relative, one peak value can be calculated every time of calculation, and it is important to select the correct peak value, the traditional method is to set a threshold value, filter out unreasonable peak values to reduce the false judgment probability and filter out useless peak values with less calculation amount, but the threshold value is too high to filter out the correct value lower than the threshold value to cause the missed judgment.
Therefore, the invention provides a method for judging satellite communication double-chirp signals, which is characterized in that a relatively low power threshold value is set on the basis of simulation, and then a threshold value is passed but an incorrect value is screened out, so that the traditional capturing method is perfected, and the method is realized by the following technical means:
t1: obtaining a plurality of peak frequencies through simulation, and calculating and selecting a threshold value of a receiving end according to the peak frequencies;
t2: the receiving end records the received peak frequency and screens the peak frequency passing the threshold value;
t3: a receiving end acquires time offset and/or frequency offset corresponding to peak frequency of all threshold values;
t4: and the receiving end judges whether the corresponding peak frequency is reliable data or not according to the time offset and/or the frequency offset.
Compared with the traditional threshold judgment method (only two steps of T1 and T2), the method adds the steps of T3 and T4, carries out secondary judgment on the peak frequency of the threshold value, and can avoid the phenomenon that the signal synchronization time of the satellite terminal is increased or the synchronization fails due to multiple synchronization attempts caused by the missed judgment; the success rate of signal synchronization is improved, and the signal synchronization time is shortened.
In order to reduce the misjudgment situation, peak value average ratios are calculated for a large number of simulated peak values, and the peak value average ratios are selected as threshold values under the traditional situation.
On the basis that the peak frequency not lower than the threshold value can be judged twice, we can appropriately lower the setting of the actual threshold value in step T1, and set the actual threshold value to a number lower than the calculated threshold value, and the lowest can be set to 0. By the method, the problem that invalid calculation is caused by misjudgment due to misjudgment, so that the signal synchronization time of the satellite terminal is increased or synchronization fails is avoided, the signal synchronization success rate is further improved, and the signal synchronization time is shortened.
On the basis of the scheme, the method further comprises the following steps: in step T4, the receiving end may determine the reliability of the peak frequency by determining whether the time offset difference corresponding to the adjacent peak frequency is approximately equal to the sliding window step, if yes, it is reliable data, and if not, it is error data; the reliability of the peak frequency can also be judged by judging whether the frequency deviation corresponding to each peak frequency is an approximate value, the peak frequency corresponding to the similar frequency deviation is reliable data, and the rest is error data.
After the reliable data is determined in step T4, the screened results are further corrected. And averaging the adjacent time offset differences of all reliable data at the receiving end, and re-assigning and correcting the time offsets of all signals except the head and tail signals according to the average value of the time offset differences by taking the head and tail signals as a reference.
And the receiving end averages the frequency offsets of all reliable data, and takes the average value as the correction assignment of all signals.
The data correction can eliminate the tiny error of the effective data in the transmission process, and the accuracy of the received signal is ensured to a greater extent.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the probability of missed judgment and erroneous judgment can be effectively reduced, multiple synchronization attempts caused by the missed judgment are avoided, invalid calculation caused by the erroneous judgment is avoided, and therefore the synchronization success rate is remarkably increased, the synchronization time is shortened, and signals can be quickly synchronized by the satellite terminal. Specifically, the threshold value is reduced to avoid the missing judgment, the range of the signal primary screening is enlarged, and the error value caused by the reduction of the threshold value is eliminated through secondary screening, so that the occurrence of the erroneous judgment is avoided. Finally, tiny errors of effective data in the transmission process are eliminated through data correction, and the accuracy of received signals is guaranteed to a greater extent.
The technical scheme protected by the invention is not limited to a satellite communication system, and is also suitable for all systems using chirp signals as beacon/synchronization signals.
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In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that for those skilled in the art, other related drawings can be obtained from these drawings without inventive effort. In the drawings:
fig. 1 is a Chirp signal acquisition schematic block diagram;
FIG. 2 is a schematic diagram of a signal receiving process in embodiment 1;
fig. 3 is a schematic diagram of a signal receiving process in embodiment 2.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the steps of the above facts and methods can be implemented by hardware related to instructions of a program, and the related program or the program can be stored in a computer readable storage medium, and when executed, the program includes the following steps: corresponding method steps are introduced here, and the storage medium may be a ROM/RAM, a magnetic disk, an optical disk, etc.
In the embodiment, the period of a Chirp signal at a transmitting end is Tpriod, and the length (sliding window length) of the Chirp signal is Tchirp; the sliding window of the receiving end is stepped to Tstep (Tstep is generally less than 1/2 Tchirp); and setting a threshold value of the peak frequency as Thrd, and receiving the signal by using 2N Chirp sliding windows at a receiving end.
The receiving end judges whether all time offsets meet Tstep ≈ delta tn-1-△tn-2(n is more than or equal to 3), if the peak value is met, the time offset calculated by the corresponding peak value point is reliable; and further judging whether all frequency deviations meet delta f approximately equal to 200Hz, and if so, calculating the frequency deviation by the corresponding peak point to be reliable. The peak frequency of which the time offset and the frequency offset are reliable values is reliable data.
Example 1:
as shown in fig. 2, there are 4 signals with peak frequencies passing through the threshold, which correspond to the Chirp sliding window N, Chirp sliding window N +1, Chirp sliding window N +2, and Chirp sliding window N +3, respectively, and their corresponding time offsets are Δ t1、△t2、△t3、△t4Corresponding frequency deviation of Δ f1、△f2、△f3、△f4
The Tchirp signal length is 80ms, each sliding window step Tstep is 20ms (1/4 of signal length), and Δ t1=-29ms、△t2=-8ms、△t3=12ms、△t433ms, where Tstep ≈ Δ t3-△t2≈△t2-△t1,△t4-△t3If the deviation is large at 48, Δ t can be determined4Are singular values.
Assuming a theoretical frequency offset of 200Hz, f1=-700,△f2=201,△f3=197,△f4=203。Tstep≈△t4-△t3≈△t3-△t2≈△t2-△t1Therefore, the time offsets corresponding to the Chirp sliding window N, Chirp sliding window N +1, the Chirp sliding window N +2 and the Chirp sliding window N +3 are reliable; then Δ f can be determined1Is a singular value,. DELTA.f2≈△f3≈△f4≈200Hz。
Therefore Chirp sliding window N (by Δ f)1Judged by Δ t) and the Chirp sliding window N +3 (from Δ t)4And judging to obtain) frequency deviation as an error value, wherein the frequency deviations corresponding to the Chirp sliding window N +1 and the Chirp sliding window N +2 are reliable.
In summary, the peak frequencies corresponding to the Chirp sliding window N +1 and the Chirp sliding window N +2 are reliable data.
Preferably, the receiving end further corrects the screened result.
Figure BDA0003328539180000051
Then Δ t1 correction=△t1,△t2 correction=△t1 correction+TstepCorrection,△t3 correction=△t2 correction+TstepCorrection
Figure BDA0003328539180000052
△t2 correctionAnd Δ f2 correctionIs a peak frequency correction value, delta t, corresponding to a Chirp sliding window N +13 correctionAnd Δ f3 correctionAnd the corrected value is the peak frequency corrected value corresponding to the Chirp sliding window N + 2.
In order to further achieve the object of the present invention, the present invention also proposes a second embodiment.
Example 2:
as shown in fig. 3, there are 5 signals with peak frequencies passing through the threshold, which correspond to the Chirp sliding window 1, the Chirp sliding window 2, the Chirp sliding window 3, the Chirp sliding window N +1, and the Chirp sliding window N +2, respectively, and the time offsets corresponding to them are Δ t1、△t2、△t3、△t4、△t5Corresponding frequency deviation of Δ f1、△f2、△f3、△f4、△f5Assume that the theoretical frequency offset is 200 Hz.
The Tchirp signal length is 80ms, each sliding window step Tstep is 20ms (1/4 of signal length), and Δ t1=11ms、△t2=-30ms、△t3=20ms、△t4=-9ms、△t512ms, where Tstep ≈ Δ t5-△t4=21ms,△t4-△t3=-29ms,△t3-△t2=50ms,△t2-△t1-41ms, (where Δ t is calculated)4,△t3Not the adjacent windows, the difference needs to be divided by the window spacing). Judging according to the relative relation of time bias, only delta t5、△t4And the method conforms to the effective time bias characteristic.
△f1=320,△f2=1300,△f3=-2500,△f4=205,△f5196. As can be seen, Δ f1、△f2、△f3For error frequency deviation,. DELTA.f4、△f5Is the effective frequency offset.
Due to Δ t3And Δ f3All the data are valid data, so that the peak frequency corresponding to the Chirp sliding window N +1 is valid data;
due to Δ t4And Δ f4All have valid data, so the peak frequency corresponding to the Chirp sliding window N +2 is valid data.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes that are changed from the content of the present specification and the drawings, or are directly or indirectly applied to other related technical fields are included in the scope of the present invention.

Claims (10)

1. A method for judging a satellite communication dual-chirp signal is characterized by comprising the following steps:
t1: obtaining a plurality of peak frequencies through simulation, and calculating and selecting a threshold value of a receiving end according to the peak frequencies;
t2: the receiving end records the received peak frequency and screens the peak frequency passing the threshold value;
t3: a receiving end acquires time offset and/or frequency offset corresponding to peak frequency of all threshold values;
t4: and the receiving end judges whether the corresponding peak frequency is reliable data or not according to the time offset and/or the frequency offset.
2. The method as claimed in claim 1, wherein in T1, a peak-to-average ratio is calculated for a plurality of simulated peaks in T1, and the peak-to-average ratio is selected as the threshold.
3. The method as claimed in claim 1, wherein the actual threshold value of the receiving end is set to a number lower than the calculated threshold value at T1.
4. The method for determining the dual-chirp signal in satellite communication according to claim 1, wherein an actual threshold value at the receiving end is set to 0 at T1.
5. The method as claimed in claim 1, wherein in T4, the receiving end determines whether the time offset difference corresponding to adjacent peak frequencies is approximately equal to the sliding window step, if so, the corresponding peak frequency is reliable data, otherwise, the corresponding peak frequency is error data.
6. The method as claimed in claim 1, wherein in T4, the receiving end determines whether the frequency offsets corresponding to the peak frequencies are approximate values to determine the peak frequencies, the peak frequencies corresponding to similar frequency offsets are reliable data, and the rest is error data.
7. The method as claimed in claim 1, wherein in T4, the receiving end determines whether the difference between the time offsets corresponding to adjacent peak frequencies is approximately equal to the step of the sliding window, and whether the frequency offsets corresponding to the peak frequencies are approximate values to determine the peak frequencies, and if both conditions are satisfied, the corresponding peak frequencies are reliable data, otherwise, the corresponding peak frequencies are error data.
8. The method for determining a satellite communication dual-chirp signal according to claim 4 or 5, wherein the receiving end averages the differences between adjacent time offsets of all reliable data, and reassigns the time offsets of all signals except the head and tail signals as a time offset correction value based on the average value of the differences between the head and tail signals; and calculating and correcting the peak frequency again according to the frequency offset and the corrected time offset.
9. The method for determining the dual-chirp signal in satellite communication according to claim 4 or 5, wherein the frequency offset of all reliable data is averaged by a receiving end, and the average value is used as a frequency offset correction value of all signals; and calculating and correcting the peak frequency again according to the time offset and the corrected frequency offset.
10. The method for determining a satellite communication dual-chirp signal according to claim 4 or 5, wherein the receiving end averages the differences between adjacent time offsets of all reliable data, and reassigns the time offsets of all signals except the head and tail signals as a time offset correction value based on the average value of the differences between the head and tail signals;
and averaging the frequency offsets of all reliable data, and taking the average value as the frequency offset correction value of all signals.
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