CN104993844A - Method and device for searching frequency domain - Google Patents
Method and device for searching frequency domain Download PDFInfo
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- CN104993844A CN104993844A CN201510370038.2A CN201510370038A CN104993844A CN 104993844 A CN104993844 A CN 104993844A CN 201510370038 A CN201510370038 A CN 201510370038A CN 104993844 A CN104993844 A CN 104993844A
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Abstract
The invention provides a method and a device for searching a frequency domain. The method comprises the steps as follows: performing first-order down-conversion to a sampling point sequence according to a frequency domain search range; segmenting a coherent integration time according to a first preset value so as to obtain sub coherent integration times; calculating a first-order correlation value, corresponding to each sub coherent integration time, of a first result,; performing second-order down-conversion to each first order correlation value; performing second-order coherent integration calculation to each obtained second result; performing discrete Fourier transform DFT to each obtained second-order correlation value; and determining the frequency of a capturing moment according to each frequency value obtained after performing the DFT transformation. According to the technical solution, the first-order serial search is finished by performing the first-order down-conversion to the sampling point sequence according to the frequency domain search range, and the second-order serial search is finished by performing the second-order down-conversion, and the third-order parallel search is finished by using the DFT, so that the method and the device of the invention could be used for accurately and fast searching the frequency domain in wide range.
Description
Technical field
The present invention relates to Satellite Navigation Technique, espespecially a kind of frequency domain search method based on band spread receiver and device.
Background technology
In direct sequence spread spectrum communication system, receiver is the prerequisite realizing signal receiving to catching of spreading code.Due to the relative motion of receiving-transmitting sides, between Received signal strength and local signal, Doppler shift can be there is.Theoretical research shows, time domain search time, the existence of Doppler shift can affect coherent detection amplitude, as shown in formula (1):
Wherein, Z is without coherent detection amplitude during frequency deviation, f
ddoppler shift (being called for short frequency deviation below), Z
dbe f in frequency deviation
dtime coherent detection amplitude, L is spreading ratio, T
cit is the duration of each chip.From formula (1), when there is frequency deviation, coherent detection amplitude attenuation.
When frequency deviation is less, the decay of coherent detection amplitude can be ignored, and receiver can complete spread spectrum code acquisition by simple time domain search.But larger frequency deviation can cause the remarkable loss of time domain associated SNR, the two-dimensional search carried out on frequency-domain and time-domain is therefore needed to catch spreading code.
Wherein, time domain search be spreading code phase alignment in order to make in local spectrum-spreading code generator phase place and Received signal strength, to realize catching of spreading code; Frequency domain search is then to estimate Doppler shift, compensates to received signal, thus reduces the snr loss caused by receiving signal frequency offset, the success of domain search during to ensure.
GPS (Global Position System) (GNSS, Global Navigation Satellite System) in, global positioning system (GPS) and Beidou satellite system adopt CDMA (Code Division Multiple Access), different satellites is distinguished by different pseudo noise codes, GLONASS (GLONASS) system then adopts frequency division multiple access technology, distinguishes different satellites by different carrier frequencies.In fact, these systems all adopt direct sequence spread spectrum mode to carry out spread spectrum to modulating data.For receiving the navigation data of a certain satellite, just must reappear the pseudo noise code of these data of modulation, the pseudo-code of reproduction being carried out related calculation in out of phase error with input pseudo-code makes the two synchronous, thus completes the despreading to navigation data, and this process is acquiring pseudo code.On the other hand, owing to there is moving radially, so carrier wave can produce Doppler frequency-shift effect between the GNSS satellite of high-speed motion and receiver.Therefore, after satellite-signal analog down (radio-frequency module) and Digital Down Convert, its frequency values is also non-vanishing, but on the basis of zero intermediate frequency, add a Doppler frequency shift.For completing the demodulation to a certain satellite navigation data, must search the numerical value of the Doppler frequency shift that respective satellite produces, this process is capturing carrier or frequency domain search.
Existing frequency domain search method has serial and parallel two class diverse ways.The advantage of serial search is that algorithm realization is simple, require few, but acquisition speed is slow, is not suitable for the application under long period code and high dynamic environment to system resource.The method of parallel search generally uses the parallel search method of fast fourier transform (FFT), and this method acquisition speed is fast, but the frequency range of search is limited, due to excessive frequency interval, can cause higher snr loss.
Summary of the invention
In order to solve the problems of the technologies described above, the invention provides a kind of frequency domain search method and device, searching for of frequency domain can be realized on a large scale, accurately and fast.
In order to reach the object of the invention, the invention provides a kind of frequency domain search method, comprising:
According to frequency domain search scope, first order down-conversion is carried out to sampled point sequence;
According to the first preset value, segmentation is carried out to coherent integration time, to obtain sub-coherent integration time; Calculate the first order correlation that the first result corresponds to each sub-coherent integration time respectively;
Second level down-conversion is carried out to each first order correlation calculated; Second level coherent integration computing is carried out to each second result obtained;
Discrete Fourier transform DFT is carried out to each second level correlation obtained; According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment.
Further, describedly according to frequency domain search scope, first order down-conversion is carried out to sampled point sequence, comprising:
According to described frequency domain search scope, determine the first centre frequency of described frequency domain search scope;
According to described the first centre frequency determined, first order down-conversion is carried out to sampled point sequence, obtain the first result;
Wherein, the first centre frequency is the center frequency value corresponding with described frequency domain search scope.
Further, described each first order correlation to calculating carries out second level down-conversion, comprising:
According to the first preset value, segmentation is carried out to the described frequency domain search scope determined;
Second centre frequency of each that obtains after determining segmentation respectively sub-frequency domain search scope;
According to described each second centre frequency determined, second level down-conversion is carried out to each first order correlation, obtain the second result;
Wherein, each second centre frequency is the center frequency value corresponding with each the first sub-frequency domain search scope described.
Further, described the second result to obtaining carries out second level coherent integration computing, comprising:
Carry out second level coherent integration computing to each second result obtained respectively according to the second sub-coherent integration time, to obtain each second level correlation, wherein, the second sub-coherent integration time=sub-coherent integration time * L, wherein, L is positive integer.
Further, described each second level correlation to obtaining carries out DFT, comprising:
According to the second preset value, segmentation is carried out to each sub-frequency domain search scope; To obtain each the second sub-frequency domain search scope;
Determine the 3rd centre frequency of each the second sub-frequency domain search scope obtained;
According to each the 3rd centre frequency determined, DFT is carried out to each second level correlation obtained;
Wherein, each the 3rd centre frequency is the center frequency value corresponding with each the second sub-frequency domain search scope described.
Further, it is characterized in that each frequency values after the described DFT conversion according to obtaining is determined the frequency of catching the moment, being comprised:
Each frequency values after being converted by the DFT of described acquisition and decision threshold are adjudicated;
When the frequency values after DFT conversion is greater than decision threshold, determine that the frequency values after described DFT conversion is the frequency of catching the moment.
Present invention also offers a kind of frequency domain search installation method, it is characterized in that, comprising: the first module, computing module, the second module and determination module; Wherein,
First module, for carrying out first order down-conversion according to frequency domain search scope to sampled point sequence;
Computing module, for carrying out segmentation according to the first preset value to coherent integration time, to obtain sub-coherent integration time; Calculate the first order correlation that the first result corresponds to each sub-coherent integration time respectively;
Second module, for carrying out second level down-conversion to each first order correlation calculated; Second level coherent integration computing is carried out to each second result obtained;
Determination module, for carrying out discrete Fourier transform DFT to each second level correlation obtained; According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment.
Further, described first module, specifically for:
According to described frequency domain search scope, determine the first centre frequency of described frequency domain search scope;
According to described the first centre frequency determined, first order down-conversion is carried out to sampled point sequence, obtain the first result;
Wherein, the first centre frequency is the center frequency value corresponding with described frequency domain search scope.
Further, described second module, specifically for:
According to the first preset value, segmentation is carried out to the described frequency domain search scope determined;
Second centre frequency of each that obtains after determining segmentation respectively sub-frequency domain search scope;
According to described each second centre frequency determined, second level down-conversion is carried out to each first order correlation, obtain the second result;
Wherein, each second centre frequency is the center frequency value corresponding with each the first sub-frequency domain search scope described.
Further, described second module, also specifically for:
Carry out second level coherent integration computing to each second result obtained respectively according to the second sub-coherent integration time, to obtain each second level correlation, wherein, the second sub-coherent integration time=sub-coherent integration time * L, wherein, L is positive integer.
Further, described determination module, specifically for:
According to the second preset value, segmentation is carried out to each sub-frequency domain search scope; To obtain each the second sub-frequency domain search scope;
Determine the 3rd centre frequency of each the second sub-frequency domain search scope obtained;
According to each the 3rd centre frequency determined, DFT is carried out to each second level correlation obtained;
Wherein, each the 3rd centre frequency is the center frequency value corresponding with each the second sub-frequency domain search scope described.
Further, described determination module, also specifically for:
Each frequency values after being converted by the DFT of described acquisition and decision threshold are adjudicated;
When the frequency values after DFT conversion is greater than decision threshold, determine that the frequency values after described DFT conversion is the frequency of catching the moment.
Technical solution of the present invention comprises: carry out first order down-conversion according to frequency domain search scope to sampled point sequence; According to the first preset value, segmentation is carried out to coherent integration time, to obtain sub-coherent integration time; Calculate the first order correlation that the first result corresponds to each sub-coherent integration time respectively; Second level down-conversion is carried out to each first order correlation calculated; Second level coherent integration computing is carried out to each second result obtained; Discrete Fourier transform DFT is carried out to each second level correlation obtained; According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment.In technical solution of the present invention, by frequency domain search scope, first order down-conversion is carried out to sampled point sequence and complete first order serial search, second level serial search is completed by second level down-conversion, and by adopting DFT to complete third level parallel search, achieve searching for of frequency domain on a large scale, accurately and fast.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of frequency domain search method of the present invention;
Fig. 2 is the structural representation of frequency domain search device of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, hereinafter will be described in detail to embodiments of the invention by reference to the accompanying drawings.It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combination in any mutually.
Fig. 1 is the flow chart of frequency domain search method of the present invention, as shown in Figure 1, comprises the following steps:
Step 101: first order down-conversion is carried out to sampled point sequence according to frequency domain search scope.Specifically comprise:
According to frequency domain search scope, determine the first centre frequency of frequency domain search scope;
The first centre frequency according to determining carries out first order down-conversion to sampled point sequence, obtains the first result;
Wherein, the first centre frequency is the center frequency value corresponding with frequency domain search scope.
Illustrate, when hunting zone is ± 5KHz, then the first centre frequency is the ± center frequency value 0KHz of 5KHz, and when hunting zone is 0KHz to 20KHz, then the first centre frequency is 10KHz.The second centre frequency is below identical with the computational methods of this step with the computational methods of the 3rd centre frequency, repeats no more later.
Also comprise before this step and determine frequency domain search scope, specific implementation belongs to the known technology of those skilled in the art, and the protection range be not intended to limit the present invention, repeats no more here.
It should be noted that belong to conventional techniques means well-known to those skilled in the art about how carrying out down-conversion, not being used for limiting the present invention, not repeating them here.
Step 102: carry out segmentation to coherent integration time according to the first preset value, to obtain sub-coherent integration time; Calculate the first order correlation that the first result corresponds to each sub-coherent integration time respectively.
Wherein, the first result is the result of according to the first centre frequency, sampled point sequence being carried out to first order down-conversion.
Illustrate, known coherent integration time is T
coh, suppose that every the sub-coherent integration time needing to obtain is T
1, then can be divided into
individual sub-coherent integration time, the first preset value in step 102 can get M, wherein, M be more than or equal to 1 positive integer, this step can obtain M first order correlation, can be designated as x
0, x
1.., x
m-1.
It should be noted that, about how to carry out coherent integration computing to obtain first order correlation to the first result, belong to conventional techniques means well-known to those skilled in the art, do not repeat them here.
Step 103: second level down-conversion is carried out to each first order correlation calculated; Second level coherent integration computing is carried out to each second result obtained.
Wherein, the second result is the result of each first order correlation calculated being carried out to second level down-conversion.
Wherein, carry out second level down-conversion to each first order correlation calculated to comprise:
According to the first preset value, segmentation is carried out to the frequency domain search scope determined;
Second centre frequency of each that obtains after determining segmentation respectively sub-frequency domain search scope;
Each second centre frequency according to determining carries out second level down-conversion to each first order correlation, obtains the second result;
Wherein, each second centre frequency is the center frequency value corresponding with each the first sub-frequency domain search scope.
And, second level coherent integration computing is carried out to the second result obtained and comprises:
Carry out second level coherent integration computing to each second result obtained respectively according to the second sub-coherent integration time, to obtain each second level correlation, wherein, the second sub-coherent integration time=sub-coherent integration time * L, wherein, L is positive integer.
Illustrate, formula (2) can be adopted to obtain the second result:
Wherein, m=0,1 .., M-1, f
2be the second centre frequency, T
1for sub-coherent integration time, j is imaginary unit, and as in plural a+bi, a is real part, and bi is imaginary part.According to the second sub-coherent integration time, second level coherent integration computing (being summed into a point by every L point) is carried out to the second result, obtain N=M/L second level correlation, be designated as y
0, y
1..., y
n-1.
Step 104: discrete Fourier transform (DFT) is carried out to each second level correlation obtained; According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment.
Wherein, carry out DFT to each second level correlation obtained to comprise:
According to the second preset value, segmentation is carried out to each sub-frequency domain search scope; To obtain each the second sub-frequency domain search scope;
Determine the 3rd centre frequency of each the second sub-frequency domain search scope obtained;
According to each the 3rd centre frequency determined, DFT is carried out to each second level correlation obtained;
Wherein, each the 3rd centre frequency is the center frequency value corresponding with each the second sub-frequency domain search scope.
And,
According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment, comprising:
Each frequency values after being converted by the DFT of acquisition and decision threshold are adjudicated;
When the frequency values after DFT conversion is greater than decision threshold, determine that the frequency values after DFT conversion is the frequency of catching the moment.
Illustrate, connect the example in face, according to formula (3) to y
0, y
1..., y
n-1carry out DFT,
Wherein, n=0,1 ..., N-1, k=0,1 ..., N-1f
3be the 3rd centre frequency, T
2for the sub-coherent integration time of sub-coherent integration time second, T
2=T
1× L, j are imaginary unit.
In the inventive method, by frequency domain search scope, first order down-conversion is carried out to sampled point sequence and complete first order serial search, second level serial search is completed by second level down-conversion, and by adopting DFT to complete third level parallel search, achieve searching for of frequency domain on a large scale, accurately and fast.
Fig. 2 is the structural representation of frequency domain search device of the present invention, as shown in Figure 2, comprising: the first module, computing module, the second module and determination module.Wherein,
First module, for carrying out first order down-conversion according to frequency domain search scope to sampled point sequence.
Wherein, the first module, specifically for:
According to frequency domain search scope, determine the first centre frequency of frequency domain search scope;
The first centre frequency according to determining carries out first order down-conversion to sampled point sequence, obtains the first result;
Wherein, the first centre frequency is the center frequency value corresponding with frequency domain search scope.
Computing module, for carrying out segmentation according to the first preset value to coherent integration time, to obtain sub-coherent integration time; Calculate the first order correlation that the first result corresponds to each sub-coherent integration time respectively.
Wherein, the first result is the result of according to the first centre frequency, sampled point sequence being carried out to first order down-conversion.
Second module, for carrying out second level down-conversion to each first order correlation calculated; Second level coherent integration computing is carried out to the second result obtained.
Wherein, the second module, specifically for:
According to the first preset value, segmentation is carried out to the frequency domain search scope determined;
Second centre frequency of each that obtains after determining segmentation respectively sub-frequency domain search scope;
Each second centre frequency according to determining carries out second level down-conversion to each first order correlation, obtains the second result;
Wherein, each second centre frequency is the center frequency value corresponding with each the first sub-frequency domain search scope.
Second module, also specifically for:
Carry out second level coherent integration computing to each second result obtained respectively according to the second sub-coherent integration time, to obtain each second level correlation, wherein, the second sub-coherent integration time=sub-coherent integration time * L, wherein, L is positive integer.
Determination module, for carrying out discrete Fourier transform (DFT) to each second level correlation obtained; According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment.
Wherein, determination module, specifically for:
According to the second preset value, segmentation is carried out to each sub-frequency domain search scope; To obtain each the second sub-frequency domain search scope;
Determine the 3rd centre frequency of each the second sub-frequency domain search scope obtained;
According to each the 3rd centre frequency determined, DFT is carried out to each second level correlation obtained;
Wherein, each the 3rd centre frequency is the center frequency value corresponding with each the second sub-frequency domain search scope.
And, determination module, also specifically for:
Each frequency values after being converted by the DFT of acquisition and decision threshold are adjudicated;
When the frequency values after DFT conversion is greater than decision threshold, determine that the frequency values after DFT conversion is the frequency of catching the moment.
The all or part of step that one of ordinary skill in the art will appreciate that in said method is carried out instruction related hardware by program and is completed, and described program can be stored in computer-readable recording medium, as read-only memory, disk or CD etc.Alternatively, all or part of step of above-described embodiment also can use one or more integrated circuit to realize.Correspondingly, each module/unit in above-described embodiment can adopt the form of hardware to realize, and the form of software function module also can be adopted to realize.The application is not restricted to the combination of the hardware and software of any particular form.
The above, be only preferred embodiments of the present invention, be not intended to limit protection scope of the present invention.Within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1. a frequency domain search method, is characterized in that, comprising:
According to frequency domain search scope, first order down-conversion is carried out to sampled point sequence;
According to the first preset value, segmentation is carried out to coherent integration time, to obtain sub-coherent integration time; Calculate the first order correlation that the first result corresponds to each sub-coherent integration time respectively;
Second level down-conversion is carried out to each first order correlation calculated; Second level coherent integration computing is carried out to each second result obtained;
Discrete Fourier transform DFT is carried out to each second level correlation obtained; According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment.
2. method according to claim 1, is characterized in that, describedly carries out first order down-conversion according to frequency domain search scope to sampled point sequence, comprising:
According to described frequency domain search scope, determine the first centre frequency of described frequency domain search scope;
According to described the first centre frequency determined, first order down-conversion is carried out to sampled point sequence, obtain the first result;
Wherein, the first centre frequency is the center frequency value corresponding with described frequency domain search scope.
3. method according to claim 1, is characterized in that, described each first order correlation to calculating carries out second level down-conversion, comprising:
According to the first preset value, segmentation is carried out to the described frequency domain search scope determined;
Second centre frequency of each that obtains after determining segmentation respectively sub-frequency domain search scope;
According to described each second centre frequency determined, second level down-conversion is carried out to each first order correlation, obtain the second result;
Wherein, each second centre frequency is the center frequency value corresponding with each the first sub-frequency domain search scope described.
4. method according to claim 1, is characterized in that, described the second result to obtaining carries out second level coherent integration computing, comprising:
Carry out second level coherent integration computing to each second result obtained respectively according to the second sub-coherent integration time, to obtain each second level correlation, wherein, the second sub-coherent integration time=sub-coherent integration time * L, wherein, L is positive integer.
5. method according to claim 1, is characterized in that, described each second level correlation to obtaining carries out DFT, comprising:
According to the second preset value, segmentation is carried out to each sub-frequency domain search scope; To obtain each the second sub-frequency domain search scope;
Determine the 3rd centre frequency of each the second sub-frequency domain search scope obtained;
According to each the 3rd centre frequency determined, DFT is carried out to each second level correlation obtained;
Wherein, each the 3rd centre frequency is the center frequency value corresponding with each the second sub-frequency domain search scope described.
6. the method according to claim 1-5 any one, is characterized in that, each frequency values after the described DFT conversion according to obtaining, and determines the frequency of catching the moment, comprising:
Each frequency values after being converted by the DFT of described acquisition and decision threshold are adjudicated;
When the frequency values after DFT conversion is greater than decision threshold, determine that the frequency values after described DFT conversion is the frequency of catching the moment.
7. a frequency domain search installation method, is characterized in that, comprising: the first module, computing module, the second module and determination module; Wherein,
First module, for carrying out first order down-conversion according to frequency domain search scope to sampled point sequence;
Computing module, for carrying out segmentation according to the first preset value to coherent integration time, to obtain sub-coherent integration time; Calculate the first order correlation that the first result corresponds to each sub-coherent integration time respectively;
Second module, for carrying out second level down-conversion to each first order correlation calculated; Second level coherent integration computing is carried out to each second result obtained;
Determination module, for carrying out discrete Fourier transform DFT to each second level correlation obtained; According to each frequency values after the DFT conversion obtained, determine the frequency of catching the moment.
8. device according to claim 7, is characterized in that, described first module, specifically for:
According to described frequency domain search scope, determine the first centre frequency of described frequency domain search scope;
According to described the first centre frequency determined, first order down-conversion is carried out to sampled point sequence, obtain the first result;
Wherein, the first centre frequency is the center frequency value corresponding with described frequency domain search scope.
9. device according to claim 7, is characterized in that, described second module, specifically for:
According to the first preset value, segmentation is carried out to the described frequency domain search scope determined;
Second centre frequency of each that obtains after determining segmentation respectively sub-frequency domain search scope;
According to described each second centre frequency determined, second level down-conversion is carried out to each first order correlation, obtain the second result;
Wherein, each second centre frequency is the center frequency value corresponding with each the first sub-frequency domain search scope described.
10. device according to claim 9, is characterized in that, described second module, also specifically for:
Carry out second level coherent integration computing to each second result obtained respectively according to the second sub-coherent integration time, to obtain each second level correlation, wherein, the second sub-coherent integration time=sub-coherent integration time * L, wherein, L is positive integer.
11. devices according to claim 7, is characterized in that, described determination module, specifically for:
According to the second preset value, segmentation is carried out to each sub-frequency domain search scope; To obtain each the second sub-frequency domain search scope;
Determine the 3rd centre frequency of each the second sub-frequency domain search scope obtained;
According to each the 3rd centre frequency determined, DFT is carried out to each second level correlation obtained;
Wherein, each the 3rd centre frequency is the center frequency value corresponding with each the second sub-frequency domain search scope described.
12. devices according to claim 7-11 any one, is characterized in that, described determination module, also specifically for:
Each frequency values after being converted by the DFT of described acquisition and decision threshold are adjudicated;
When the frequency values after DFT conversion is greater than decision threshold, determine that the frequency values after described DFT conversion is the frequency of catching the moment.
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| CN101789807A (en) * | 2008-07-18 | 2010-07-28 | 俊茂微电子（上海）有限公司 | Frequency deviation evaluation method, device and communication device |
| CN102422664A (en) * | 2009-05-05 | 2012-04-18 | 意法爱立信有限公司 | Pss detection process for an lte communication network |
| CN101741800A (en) * | 2009-10-14 | 2010-06-16 | 苏州恩巨网络有限公司 | Synchronous searching method |
| CN102162852A (en) * | 2010-12-07 | 2011-08-24 | 清华大学 | Method and system for capturing weak GNSS (Global Navigation Satellite System) signal under condition of large-scale frequency deviation |
| CN102655420A (en) * | 2011-03-02 | 2012-09-05 | 中兴通讯股份有限公司 | Subsection frequency domain method and device for realizing multi-diameter search |
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| CN103616703A (en) * | 2013-11-28 | 2014-03-05 | 中国航天科工信息技术研究院 | Base band data processing method and system of navigation receiver |
| CN104601512A (en) * | 2015-01-05 | 2015-05-06 | 江苏指南针导航通信技术有限公司 | Method and system for detecting carrier frequency offset of phase-modulated signals |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106998586A (en) * | 2017-06-01 | 2017-08-01 | 电子科技大学 | The synchronization acquiring method of wireless communication system in a kind of high dynamic environment |
| CN113820731A (en) * | 2021-11-24 | 2021-12-21 | 湖南跨线桥航天科技有限公司 | Method and system for capturing non-periodic long code signal of satellite navigation receiver |
| CN113820731B (en) * | 2021-11-24 | 2022-06-10 | 湖南跨线桥航天科技有限公司 | Method and system for capturing non-periodic long code signal of satellite navigation receiver |
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