CN110954110A - X-ray pulsar navigation processing system - Google Patents

X-ray pulsar navigation processing system Download PDF

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CN110954110A
CN110954110A CN201911258419.6A CN201911258419A CN110954110A CN 110954110 A CN110954110 A CN 110954110A CN 201911258419 A CN201911258419 A CN 201911258419A CN 110954110 A CN110954110 A CN 110954110A
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navigation
information
sequence
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CN110954110B (en
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方海燕
沈利荣
陆鹏杰
孙海峰
苏剑宇
张力
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Xidian University
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Xidian University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/24Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for cosmonautical navigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C25/00Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass

Abstract

The invention discloses an X-ray pulsar navigation processing system, which mainly solves the problems of long time spent and high cost in two aspects of navigation information acquisition, processing and navigation algorithm verification in the prior art. The system is realized based on a browser and server architecture and comprises an online data processing module, a navigation algorithm verification module and an information storage and management module. The navigation data information is acquired and processed on line through the online data processing module, the effect display of a built-in navigation algorithm of the information storage and management module is realized through the navigation algorithm verification module, the comparison verification of an uploaded navigation algorithm is realized, and the storage and management of a data table and a data file are realized through the information storage and management module. The method has the advantages of short time consumption and low cost, provides online data processing and online verification functions of the navigation algorithm for relevant researchers, and can be used for online data processing and navigation algorithm verification.

Description

X-ray pulsar navigation processing system
Technical Field
The invention relates to the technical field of spaceflight, in particular to an X-ray pulsar navigation processing system which can be used for online data processing and navigation algorithm verification.
Background
The X-ray pulsar navigation is a completely autonomous navigation method with great development prospect, and can provide autonomous navigation information service for spacecrafts flying in near earth orbit, deep space and interstellar space. In recent years, due to the important strategic research significance, the aerospace major countries are involved in X-ray pulsar navigation research, including relevant theoretical research, navigation verification test and the like. The U.S. aviation and space agency has completed feasibility demonstration of X-ray pulsar navigation and ground experiment verification, and is about to develop space experiments. The european space agency, russia, japan, and the like have conducted a lot of work such as flight tests. Related research work of X-ray pulsar navigation is also developed domestically, and the research results are quite rich in theoretical research and ground system verification.
At present, the X-ray pulsar navigation research mainly focuses on two aspects of theoretical research and ground navigation system design. The theoretical research is increasingly mature, the types, sources and the like of the related common data information are basically determined, and the main data processing algorithm is widely used. In the aspect of navigation system design, a plurality of targeted navigation verification systems have been proposed at home and abroad, and respective research results are effectively verified.
Chinese patent application publication No. CN109870711A discloses a pulsar navigation algorithm verification platform and method. The platform comprises a simulation data generation module, a pulsar navigation algorithm verification module, other navigation simulation modules, a display comparison terminal, a power supply and the like, and the correctness of the pulsar navigation algorithm engineering implementation code is verified through the cooperative work of the modules. The platform adopts a development environment consistent with that of a navigation computer, the verified algorithm can be directly transplanted into the navigation computer to realize the required functions, the openness is strong, and the verification of other navigation algorithms which are not limited to pulsar can be met by modifying the data of the simulation data generation module. But the defects are that: because the platform architecture adopts a non-browser and server architecture, only the built-in navigation algorithm of the platform can be verified, and the navigation algorithm proposed by other researchers outside the platform cannot be verified.
No current research relates to system design in the aspects of navigation online data processing and algorithm online verification, and most researchers spend a great deal of cost on acquiring common data related to the research and performing basic processing on the data. Meanwhile, after the researcher proposes the navigation algorithm, the researcher can spend a lot of cost to compare and verify with the existing mainstream algorithm, and the time and the energy of the researcher for deep research are consumed.
Disclosure of Invention
The invention aims to provide an X-ray pulsar navigation processing system aiming at the current situation that the current X-ray pulsar navigation research field lacks an online data processing and navigation algorithm online verification system, provides a researcher with navigation data information online acquisition and processing functions and a navigation algorithm online verification function, and reduces the cost for the researcher to process basic data and compare and verify algorithms.
In order to achieve the purpose, the technical scheme of the invention is as follows:
an X-ray pulsar navigation processing system is realized based on a browser and server architecture, and comprises:
the online data processing module is used for inquiring and browsing the built-in data information stored by the information storage and management module, calculating parameters of uploaded data files and generating navigation data information online;
the navigation algorithm verification module is used for displaying the effect of a built-in navigation algorithm stored by the information storage and management module and comparing and verifying the uploaded navigation algorithm, and the built-in algorithm comprises two pulse contour filtering algorithms and two photon arrival time estimation algorithms;
and the information storage and management module is used for storing and managing the personal account information table, the personal data file, the built-in navigation algorithm, the built-in data file and the pulsar information data table, wherein the personal data file is the data file and the navigation algorithm file uploaded by the online data processing module and the navigation algorithm verification module.
Further, the online data processing module includes:
a pulsar information query sub-module, configured to query pulsar information, where the pulsar information is stored in the information storage and management module in a form of a data table, and includes six pieces of information, B0531_21, B1821_24, B1937_21, B1509_58_1, B1509_58_2, and B0833_45, where each piece of information includes six pieces of attributes, which are a pulsar name, a right ascension, a declination, a frequency, a photon flow, and a reference epoch;
the photon arrival time sequence generation submodule is used for acquiring five parameters including simulation starting time, simulation duration, area of a satellite detector, background flow and pulsar number, and an uploaded spacecraft orbit data file, and calling a built-in algorithm of an information storage and management module to generate a photon arrival time sequence file and a parameter file corresponding to the time sequence, wherein the content of the parameter file is the acquired five parameter information and pulsar data table information corresponding to the pulsar number;
the navigation data file format conversion submodule is used for acquiring the uploaded navigation data file and a file conversion mode, calling a built-in file conversion algorithm of the information storage and management module to convert the file format and generating a converted data file;
the pulsar rotation frequency searching submodule is used for acquiring four parameters of pulsar number, initial searching frequency, final searching frequency and frequency searching interval, uploading a photon arrival time sequence file, calling a built-in frequency searching algorithm of the information storage and management module, and calculating the rotation frequency of the corresponding pulsar;
and the pulse contour sequence analysis submodule is used for acquiring the uploaded pulse contour sequence file and the pulsar number, calling a built-in contour analysis algorithm of the information storage and management module, performing parameter calculation on the pulse contour sequence and performing comparison parameter calculation on the pulse contour sequence and the corresponding standard pulse contour.
Further, the navigation algorithm verification module comprises:
the built-in pulse contour filtering algorithm display submodule is used for displaying the effect of a built-in filtering algorithm of the information storage and management module, and the built-in filtering algorithm comprises a finite-length unit impulse response FIR filtering algorithm and a comb filtering algorithm;
the pulse contour filtering algorithm verification submodule is used for acquiring a built-in pulse contour sequence file of the information storage and management module and an uploaded filtering algorithm file and verifying an uploaded filtering algorithm, and the filtering algorithm verification is to respectively perform parameter calculation on the acquired pulse contour sequence and a sequence of the pulse contour sequence after the pulse contour sequence is processed by the uploaded filtering algorithm and perform comparison parameter calculation on the two contour sequences and a corresponding standard pulse contour sequence;
the built-in photon arrival time estimation algorithm display sub-module is used for displaying the effect of a built-in photon arrival time TOA estimation algorithm of the information storage and management module, and the built-in photon arrival time TOA estimation algorithm comprises a cross-correlation estimation algorithm and a Taylor fast Fourier transform estimation algorithm;
and the photon arrival time estimation algorithm verification submodule is used for acquiring a built-in photon arrival time TOA sequence file of the information storage and management module and an uploaded photon arrival time TOA estimation algorithm file and verifying the uploaded photon arrival time TOA estimation algorithm, wherein the photon arrival time TOA estimation algorithm verification is to process the acquired photon arrival time TOA sequence by the uploaded photon arrival time TOA estimation algorithm and calculate a photon arrival time TOA measured value.
Further, the information storage and management module includes:
the personal account information table storage and management submodule is used for storing and managing personal account information, and the management comprises addition, update and deletion of the personal account information table information;
the personal data file storage and management submodule is used for storing and managing the personal data files, the file storage objects are navigation algorithm files and data files uploaded by the online data processing module and the navigation algorithm verification module, and the management comprises personal storage data file addition, online browsing, downloading and deleting;
the pulsar information data table storage and management submodule is used for storing and managing the pulsar information data table, and the management comprises data table information addition, updating and deletion;
and the built-in navigation algorithm file and data file storage and management submodule is used for storing and managing the built-in navigation algorithm file and data file, and the management comprises file updating, adding and deleting.
Compared with the existing pulsar navigation research related system, the invention has the following advantages:
1. the invention adopts the online data processing module to realize the functions of acquiring and processing the online navigation data information, so that a system user can acquire the navigation data information online and process the data online, thereby saving the cost of acquiring the navigation data and processing the data.
2. According to the invention, the navigation algorithm verification module is adopted to realize the functions of displaying the built-in navigation algorithm and uploading the verification of the navigation algorithm, so that a system user can browse the processing effect of the built-in navigation algorithm on line and upload the own navigation algorithm for on-line comparison verification to obtain verification result information, thereby saving the cost of verification navigation.
3. The invention adopts the information storage and management module to realize the system information management, so that the administrator identity user can update the built-in navigation data, the validity of the data information is ensured, the system user can manage the personal storage data file on line, and the management of the user on the personal storage file is facilitated.
Drawings
FIG. 1 is an overall block diagram of the system of the present invention;
FIG. 2 is a block diagram of an online data processing module in the present invention;
FIG. 3 is a block diagram of a navigation algorithm validation module in accordance with the present invention;
FIG. 4 is a block diagram of a system information management module in the present invention;
FIG. 5 is an exemplary diagram of a user querying pulsar information using the present invention;
FIG. 6 is a diagram of an example of a TXT file uploaded by a user;
fig. 7 is a diagram illustrating the results of the FITS file after the user has converted the format of the TXT file of fig. 6 using the present invention.
Detailed Description
The system is based on a browser and Server architecture, an ASP.NET MVC framework is adopted but not limited, a programming language is adopted but not limited to a C # language, a navigation algorithm is adopted by an MATLAB program, data information is in two storage forms of a file and a data table, and a database is adopted but not limited to an SQL Server.
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings;
referring to fig. 1, the system of the present invention comprises: the system comprises an online data processing module 1, a navigation algorithm verification module 2 and an information management module 3, wherein:
the online data processing module 1 is used for inquiring and browsing the built-in data information stored by the information storage and management module 3, calculating parameters of uploaded data files and generating navigation data information online;
the navigation algorithm verification module 2 is used for displaying the effect of the built-in navigation algorithm stored by the information storage and management module 3 and comparing and verifying the uploaded navigation algorithm, and the built-in navigation algorithm comprises two pulse contour filtering algorithms and two photon arrival time estimation algorithms;
and the information storage and management module 3 is used for storing and managing a personal account information table, a personal data file, a built-in navigation algorithm, a built-in data file and a pulsar information data table, wherein the personal data file is a data file and a navigation algorithm file uploaded by the online data processing module 1 and the navigation algorithm verification module 2.
The built-in navigation algorithm and the data file of the information storage and management module 3 are called by the online data processing module 1 and the navigation algorithm verification module 2 to jointly realize the data processing and navigation algorithm verification functions of the system, and the uploaded file is stored in the information storage and management module 3 for management.
Referring to fig. 2, the online data processing module 1 includes: a pulsar information query sub-module 11, a photon arrival time sequence generation sub-module 12, a navigation related data format conversion sub-module 13, a pulsar rotation frequency search sub-module 14 and a pulse contour sequence analysis sub-module 15, wherein:
a pulsar information query submodule 11, configured to query pulsar information, after the module obtains a pulsar number, query a built-in pulsar information data table of an information storage and management module, and present corresponding pulsar information to an interface, where the pulsar information data table includes six pieces of information, B0531_21, B1821_24, B1937_21, B1509_58_1, B1509_58_2, and B0833_45, and each piece of information includes six pieces of attributes, which are a pulsar name, a right ascension, a declination, a frequency, a photon flow rate, and a reference epoch, respectively;
a photon arrival time sequence generation submodule 12, configured to generate a photon arrival time sequence file and a parameter file corresponding to the sequence on line, where the submodule acquires five parameters, including simulation start time, simulation duration, satellite detector area, background flow and pulsar number, and an uploaded spacecraft orbit data file, acquires corresponding pulsar parameter information according to the pulsar number, and invokes a dynamic link library of an information storage and management module, which is built in the photon arrival time sequence generation MATLAB algorithm, to generate a photon arrival time sequence file and a parameter file corresponding to the time sequence, where the contents of the parameter file are the acquired five parameter information and pulsar information corresponding to the pulsar number, and the formats of the two files are not limited to TXT, and after the files are generated, the submodule provides an on-line download function;
the navigation data file format conversion submodule 13 is used for converting the navigation data file format, the submodule acquires the uploaded navigation data file and a file conversion mode, and calls a dynamic link library of a built-in file conversion MATLAB algorithm of an information storage and management module to convert the file format, wherein the file conversion modes comprise four modes, namely, firstly, converting a data format FITS commonly used in astronomy into an MATLAB data storage format mat, secondly, converting the mat into FITS, thirdly, converting the FITS into a text document TXT, fourthly, converting the TXT into the FITS, limiting data information in the FITS format file into a photon arrival time sequence and spacecraft orbit data, and the data information in the mat format file and the TXT file is not limited. Each conversion mode corresponds to an MATLAB algorithm, and after the data file is converted successfully, the sub-module provides an online downloading function;
the pulsar rotation frequency searching submodule 14 is used for calculating pulsar rotation frequency, acquiring four parameters of pulsar number, initial searching frequency, termination searching frequency and frequency searching interval, uploading a photon arrival time sequence file, calling a dynamic link library of a built-in frequency searching MATLAB algorithm of the information storage and management module, and calculating the rotation frequency of the corresponding pulsar;
the pulse contour sequence analysis submodule 15 is configured to perform parameter analysis on a pulse contour sequence, acquire an uploaded pulse contour sequence file and a pulsar number, call a built-in contour analysis algorithm of the information storage and management module, and perform parameter calculation on the pulse contour sequence, where the parameters include: peak value, phase, peak value phase difference, peak value amplitude ratio, pulse width, pulse radiation ratio and power spectrum entropy, and calculating the comparison parameters of the pulse profile sequence and the corresponding standard pulse profile, wherein the comparison parameters comprise: profile deviation, profile phase difference and correlation coefficient. And the calculation of each parameter corresponds to a contour analysis MATLAB algorithm, and the submodule calculates the corresponding parameter by calling a dynamic link library of each MATLAB program.
Referring to fig. 3, the navigation algorithm verification function module 2 includes: the system comprises a built-in pulse contour filtering algorithm display sub-module 21, a pulse contour filtering algorithm verification sub-module 22, a built-in photon arrival time estimation algorithm display sub-module 23 and a photon arrival time estimation algorithm verification sub-module 24, wherein:
the built-in pulse contour filtering algorithm display submodule 21 is used for displaying the effect of a built-in filtering algorithm of the information storage and management module, the submodule acquires a built-in pulse contour sequence and a built-in filtering algorithm of the information storage and management module, calls a dynamic link library corresponding to the filtering MATLAB algorithm to filter the pulse contour sequence, and respectively performs parameter calculation on the pulse contour sequence and a sequence after the filtering processing, wherein the parameters comprise: peak value, phase, peak value phase difference, peak value amplitude ratio, pulse width, pulse radiation ratio and power spectrum entropy, and calculating the comparison parameters of the two profile sequences and the corresponding standard pulse profile sequence respectively, wherein the comparison parameters comprise: the contour deviation, the contour phase difference and the correlation coefficient, wherein the built-in filtering algorithm comprises a finite-length unit impulse response FIR filtering algorithm and a comb filtering algorithm, the calculation of each parameter corresponds to a contour analysis MATLAB algorithm, and the submodule calculates the corresponding parameter by calling a dynamic link library of each MATLAB program;
the pulse contour filtering algorithm verification submodule 22 is configured to compare and verify the uploaded navigation filtering algorithm, acquire a built-in pulse contour sequence file of the information storage and management module and the uploaded filtering algorithm file, call an MATLAB engine to run the uploaded filtering algorithm, perform filtering processing on the pulse contour sequence, and perform parameter calculation on the pulse contour sequence and the sequence after the filtering processing, where the parameters include: peak value, phase, peak value phase difference, peak value amplitude ratio, pulse width, pulse radiation ratio and power spectrum entropy, and calculating the comparison parameters of the two profile sequences and the corresponding standard pulse profile sequence respectively, wherein the comparison parameters comprise: profile deviation, profile phase difference and correlation coefficient. Wherein, the calculation of each parameter corresponds to a contour analysis MATLAB algorithm, and the submodule calculates the corresponding parameter by calling a dynamic link library of each MATLAB program;
a built-in photon arrival time estimation algorithm display sub-module 23, which is used for displaying the effect of the built-in photon arrival time TOA estimation algorithm of the information storage and management module, the submodule acquires a built-in photon arrival time TOA sequence file with a known TOA theoretical value and a built-in photon arrival time TOA estimation algorithm file of an information storage and management module, calls a dynamic link library of an estimation MATLAB algorithm to estimate the photon arrival time TOA sequence, calculates a TOA measured value, comparing with TOA theoretical value of the TOA sequence of the photon arrival time to realize the effect display of the built-in algorithm, wherein, the built-in photon time of arrival (TOA) estimation algorithm comprises a cross-correlation estimation algorithm and a Taylor fast Fourier transform (Taloy) FFT estimation algorithm, the TOA theoretical value is the actual time delay of a photon arrival time TOA sequence, and the TOA measured value is the time delay calculated by an uploaded estimation algorithm;
a photon arrival time estimation algorithm verification submodule 24, configured to verify an uploaded photon arrival time TOA estimation algorithm, where the submodule acquires a photon arrival time TOA sequence file with a built-in known TOA theoretical value of an information storage and management module and the uploaded photon arrival time TOA estimation algorithm file, invokes an MATLAB engine to run the uploaded estimation algorithm, estimates the photon arrival time TOA sequence, calculates a TOA measurement value, and compares the TOA measurement value with the TOA theoretical value of the photon arrival time TOA sequence to implement algorithm verification, where the TOA theoretical value is an actual delay amount of the photon arrival time TOA sequence, and the TOA measurement value is a delay amount calculated by the uploaded estimation algorithm.
Referring to fig. 4, the information storage and management module 3 includes a personal account information table storage and management submodule 31, a personal data file storage and management submodule 32, a pulsar information data table storage and management submodule 33, and a built-in navigation algorithm file and data file storage and management submodule 34, wherein:
the personal account information table storage and management submodule 31 is used for managing personal account information, and the management comprises information addition, update and deletion of the personal account information table, wherein account registration operation is used for realizing information addition, account password modification operation is used for realizing information update, information deletion operation is carried out after administrator identity verification is carried out, and a management operation result is mapped to update of corresponding data of the personal account information table;
the personal data file storage and management submodule 32 is used for managing a personal storage data file, the file storage objects are a navigation algorithm file and a data file uploaded by the online data processing module (1) and the navigation algorithm verification module (2), the management comprises storage data file addition, online browsing, downloading and deletion, the personal data file format comprises FITS, mat and TXT, the online browsing operation of the file is only directed at the TXT format file, and the file addition, downloading and deletion operation is directed at the FITS, mat and TXT three format files;
the pulsar information data table storage and management submodule 33 is used for managing the pulsar information data table, wherein the management comprises data table information addition, updating and deletion, the management operation of the submodule needs to pass through administrator identity verification, and the operation result is mapped to the updating of the corresponding data of the pulsar information data table;
and the built-in navigation algorithm file and data file storage and management submodule 34 is used for storing and managing the built-in navigation algorithm file and data file, wherein the management comprises file updating, adding and deleting, and the management operation of the submodule needs to pass the identity verification of an administrator.
The effects of the present invention can be further illustrated by the following experiments:
experiment one, a user selects a pulsar number B0531_21 in the pulsar information query submodule 11 of the present invention, queries corresponding information in the built-in pulsar information data table through the submodule, and presents the queried information to an interface, and the result is as shown in fig. 5. Fig. 5 shows that the present invention has a query function for displaying pulsar information.
Experiment two, the user selects the TXT to FITS conversion mode in the navigation data file format conversion submodule 13 of the present invention, uploads the TXT file, and invokes the built-in data file conversion algorithm to perform format conversion through the submodule, that is, the TXT file shown in fig. 6 is converted into the FITS file shown in fig. 7. FIG. 7 illustrates the present invention having navigation data file format conversion functionality.
The foregoing description is only an example of the present invention and is not intended to limit the invention, so that it will be apparent to those skilled in the art that various modifications and variations can be made in the form and detail without departing from the spirit and structure of the invention, and the scope of the appended claims is to be accorded the full scope of the invention.

Claims (9)

1. An X-ray pulsar navigation processing system based on a browser and server architecture, comprising:
the online data processing module (1) is used for inquiring and browsing the built-in data information stored by the information storage and management module (3), calculating parameters of uploaded data files and generating navigation data information online;
the navigation algorithm verification module (2) is used for displaying the effect of a built-in navigation algorithm stored by the information storage and management module (3) and comparing and verifying the uploaded navigation algorithm, and the built-in navigation algorithm comprises two pulse contour filtering algorithms and two photon arrival time estimation algorithms;
and the information storage and management module (3) is used for storing and managing a personal account information table, a personal data file, a built-in navigation algorithm, a built-in data file and a pulsar information data table, wherein the personal data file is a data file and a navigation algorithm file uploaded by the online data processing module (1) and the navigation algorithm verification module (2).
2. The system according to claim 1, characterized in that the online data processing module (1) comprises:
a pulsar information query sub-module (11) for querying pulsar information, wherein the pulsar information is stored in the information storage and management module (3) in the form of a data table, and comprises six pieces of information, namely B0531_21, B1821_24, B1937_21, B1509_58_1, B1509_58_2 and B0833_45, each piece of information comprises six pieces of attributes, namely a pulsar name, a right ascension, a declination, a frequency, a photon flow and a reference epoch;
the photon arrival time sequence generation submodule (12) is used for acquiring five parameters including simulation starting time, simulation duration, satellite detector area, background flow and pulsar number, and an uploaded spacecraft orbit data file, and calling a built-in algorithm of the information storage and management module (3) to generate a photon arrival time sequence file and a parameter file corresponding to the time sequence, wherein the content of the parameter file is the acquired five parameter information and pulsar data table information corresponding to the pulsar number;
the navigation data file format conversion submodule (13) is used for acquiring the uploaded navigation data file and a file conversion mode, calling a built-in file conversion algorithm of the information storage and management module (3) to perform file format conversion, and generating a converted data file;
the pulsar rotation frequency searching submodule (14) is used for acquiring four parameters of pulsar number, initial searching frequency, final searching frequency and frequency searching interval, uploading a photon arrival time sequence file, calling a built-in frequency searching algorithm of the information storage and management module (3) and calculating the rotation frequency of the corresponding pulsar;
and the pulse contour sequence analysis submodule (15) is used for acquiring the uploaded pulse contour sequence file and the pulsar number, calling a built-in contour analysis algorithm of the information storage and management module (3), performing parameter calculation on the pulse contour sequence, and performing comparison parameter calculation on the pulse contour sequence and the corresponding standard pulse contour.
3. The system according to claim 1, characterized in that said navigation algorithm verification module (2) comprises:
the built-in pulse contour filtering algorithm display submodule (21) is used for displaying the effect of a built-in filtering algorithm of the information storage and management module (3), and the built-in filtering algorithm comprises a finite-length unit impulse response FIR filtering algorithm and a comb filtering algorithm;
the pulse contour filtering algorithm verification submodule (22) is used for acquiring a built-in pulse contour sequence file and an uploaded filtering algorithm file of the information storage and management module (3) and verifying an uploaded filtering algorithm, and the filtering algorithm verification is to respectively perform parameter calculation on the acquired pulse contour sequence and a sequence of the pulse contour sequence after the pulse contour sequence is processed by the uploaded filtering algorithm and perform comparison parameter calculation on the two contour sequences and a corresponding standard pulse contour sequence;
the built-in photon arrival time estimation algorithm display sub-module (23) is used for displaying the effect of a built-in photon arrival time TOA estimation algorithm of the information storage and management module (3), and the built-in photon arrival time TOA estimation algorithm comprises a cross-correlation estimation algorithm and a Taylor fast Fourier transform estimation algorithm;
and the photon arrival time estimation algorithm verification submodule (24) is used for acquiring a built-in photon arrival time TOA sequence file and an uploaded photon arrival time TOA estimation algorithm file of the system information storage and management module (3), verifying the uploaded photon arrival time TOA estimation algorithm, and calculating a measured value of the photon arrival time TOA by processing the acquired photon arrival time TOA sequence by the uploaded photon arrival time TOA estimation algorithm.
4. The system according to claim 1, characterized in that said information storage and management module (3) comprises:
the personal account information table storage and management submodule (31) is used for storing and managing personal account information, and the management comprises addition, update and deletion of the personal account information table information;
the personal data file storage and management submodule (32) is used for storing and managing the personal data files, the file storage objects are navigation algorithm files and data files uploaded by the online data processing module (1) and the navigation algorithm verification module (2), and the management comprises personal storage data file addition, online browsing, downloading and deleting;
the pulsar information data table storage and management submodule (33) is used for storing and managing the pulsar information data table, and the management comprises data table information addition, updating and deletion;
and the built-in navigation algorithm file and data file storage and management submodule (34) is used for storing and managing the built-in navigation algorithm file and data file, and the management comprises file updating, adding and deleting.
5. The system according to claim 2, wherein the navigation data file format conversion sub-module (13) comprises:
the astronomy world common data format FITS-MATLAB data storage format mat, mat-to-FITS, FITS-to-text document format TXT and TXT-to-FITS.
6. The system according to claim 2, wherein the pulse profile sequence parameters calculated in the pulse profile sequence analysis submodule (15) include: peak value, phase, peak phase difference, peak amplitude ratio, pulse width, pulse radiation ratio and power spectrum entropy.
7. The system according to claim 2, wherein the parameters for the comparison of the pulse profile sequence calculated in the pulse profile sequence analysis submodule (15) with the corresponding standard pulse profile comprise: profile deviation, profile phase difference and correlation coefficient.
8. The system of claim 3, wherein the pulse profile filtering algorithm validation submodule (22) is configured to calculate the pulse profile sequence and the sequence parameters of the pulse profile sequence after the pulse profile sequence is processed by the uploaded filtering algorithm, and comprises: peak value, phase, peak phase difference, peak amplitude ratio, pulse width, pulse radiation ratio and power spectrum entropy.
9. The system according to claim 3, wherein the pulse profile filtering algorithm verification sub-module (22) calculates the comparison parameters between the pulse profile sequence and the corresponding standard pulse profile sequence after the pulse profile sequence is processed by the uploaded filtering algorithm, respectively, and comprises: profile deviation, profile phase difference and correlation coefficient.
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CN112797989A (en) * 2021-03-29 2021-05-14 中国人民解放军国防科技大学 Method for quickly searching pulsar frequency parameters

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