CN112433238B - Trusted GNSS positioning method based on big data analysis - Google Patents
Trusted GNSS positioning method based on big data analysis Download PDFInfo
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- CN112433238B CN112433238B CN202011347994.6A CN202011347994A CN112433238B CN 112433238 B CN112433238 B CN 112433238B CN 202011347994 A CN202011347994 A CN 202011347994A CN 112433238 B CN112433238 B CN 112433238B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/35—Constructional details or hardware or software details of the signal processing chain
- G01S19/37—Hardware or software details of the signal processing chain
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/21—Interference related issues ; Issues related to cross-correlation, spoofing or other methods of denial of service
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/21—Interference related issues ; Issues related to cross-correlation, spoofing or other methods of denial of service
- G01S19/215—Interference related issues ; Issues related to cross-correlation, spoofing or other methods of denial of service issues related to spoofing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a reliable GNSS positioning method based on big data analysis, which utilizes the space positions of history ephemeris information and new ephemeris information, compares the distance difference between the history ephemeris space position and the new ephemeris space position with a preset threshold, carries out false judgment on the new ephemeris information, and finally adopts real new ephemeris information for positioning; according to the invention, the positioning data of the terminal in the same area is analyzed by utilizing big data, and whether the terminal pushes false position information or not is determined by ephemeris data of the current area of GNSS positioning at the current moment, so that the reliability of GNSS positioning information is ensured.
Description
Technical Field
The invention relates to the technical field of safety protection, in particular to a trusted GNSS positioning method based on big data analysis.
Background
With the progress of scientific technology, navigation technology is rapidly developed, and is widely applied to various fields such as national defense, military, society and the like. Satellite navigation has the characteristics of high precision, wide range, all weather and the like, and becomes the current most dominant navigation mode. Acquiring the current true position by GNSS is critical for navigation. For the location service platform, a series of basic services (navigation, information push, management, etc.) are implemented by receiving location information sent by the terminal. If the terminal sends false positions, the effectiveness of the position service is reduced, and the management based on the position correlation is not beneficial to the industrial application such as work card punching, lifesaving and the like.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the reliable GNSS positioning method based on big data analysis is provided, wherein whether the terminal pushes false position information or not is determined through positioning data of the terminal in the same area and ephemeris data of the current area of GNSS positioning at the current moment by utilizing big data analysis, and the reliable GNSS positioning information is ensured to be reliable.
The technical scheme of the invention is as follows: a trusted GNSS positioning method based on big data analysis comprises the following steps: step one, starting a positioning function in electronic equipment;
step two, judging whether the history ephemeris information pre-stored in the electronic equipment contains current geographic position information or not, and if the history ephemeris information does not contain the current geographic position information, entering a step three; if the history ephemeris information contains the current geographic position information, entering a step six;
encrypting and compressing geographic position information and/or version information of current ephemeris data in a preset range near the electronic equipment to obtain compressed data; sending an ephemeris data downloading request carrying the compressed data to the GNSS platform;
step four, receiving new ephemeris information sent by the GNSS platform, and storing the new ephemeris information in a cache of the device;
step five, repeating the step three to obtain new ephemeris information sent by the GNSS platform;
step six, decoding the new ephemeris information/history ephemeris information, adding the new ephemeris information/history ephemeris information into a message queue, merging the message queue to form a new ephemeris file/history ephemeris file, wherein the message queue comprises more than one group of new ephemeris information/history ephemeris information.
Step seven, establishing A by using the new ephemeris file 1 、A 2 …… A m An array, each array storing the new ephemeris file; establishing a by using the history ephemeris file 1 、a 2 …… a n An array, each array storing the history ephemeris file;
step eight, comparing m with n, if m | =n, m | represents m's factorization, then no more comparing the new ephemeris file with the history ephemeris file, then indicating that the new ephemeris file is real ephemeris information; if m= n, then compare A 1 And a 1 ，A 2 And a 2 … …, if A k And a k Wherein, k is more than or equal to 1 and n is more than or equal to a preset detection threshold, and the new ephemeris is obtainedThe file is false ephemeris information;
and step nine, positioning according to the real new ephemeris information, storing the positioning information in a cache of the equipment, and covering the new ephemeris information if the new ephemeris information in the last step is judged to be false ephemeris information.
Further, if the differential ephemeris data is data which is encrypted and compressed by the GNSS platform and then sent to the to-be-positioned Internet of things equipment;
the step of receiving differential ephemeris data sent from the GNSS platform further comprises: and decompressing and decrypting the differential ephemeris data to obtain decompressed and decrypted differential ephemeris data.
Further, the new ephemeris file is contrasted and described as real ephemeris information; and injecting the real ephemeris information into a positioning chip to update in real time.
Further, a represents the spatial position of the new ephemeris, a represents the spatial position of the history ephemeris, and the detection threshold is 15 meters.
The beneficial effects of the invention are as follows:
1. according to the invention, the positioning data of the terminal in the same area is analyzed by utilizing big data, and whether the terminal pushes false position information or not is determined by ephemeris data of the current area of GNSS positioning at the current moment, so that the reliability of GNSS positioning information is ensured.
2. The ephemeris information comprises geographic position information in a preset range near the electronic equipment, so that a user can coordinate with position information of other equipment in the preset range or position information of the electronic equipment under the condition of poor weather and topography environments, and meanwhile, the position information of the other equipment is fused, so that subsequent comparison and judgment operations are facilitated.
Detailed Description
Examples
The method comprises the steps of comparing the distance difference between the historical ephemeris space position and the new ephemeris space position with a preset threshold by utilizing the space positions of the historical ephemeris information and the new ephemeris information, carrying out false judgment on the new ephemeris information, and finally adopting the real new ephemeris information for positioning; according to the invention, the positioning data of the terminal in the same area is analyzed by utilizing big data, and whether the terminal pushes false position information or not is determined by ephemeris data of the current area of GNSS positioning at the current moment, so that the reliability of GNSS positioning information is ensured.
The present application is described in detail with reference to examples.
A trusted GNSS positioning method based on big data analysis comprises the following steps: step one, starting a positioning function in electronic equipment;
step two, judging whether the history ephemeris information pre-stored in the electronic equipment contains current geographic position information or not, and if the history ephemeris information does not contain the current geographic position information, entering a step three; if the history ephemeris information contains the current geographic position information, entering a step six;
encrypting and compressing geographic position information and/or version information of current ephemeris data in a preset range near the electronic equipment to obtain compressed data; sending an ephemeris data downloading request carrying the compressed data to the GNSS platform;
step four, receiving new ephemeris information sent by the GNSS platform, and storing the new ephemeris information in a cache of the device;
step five, repeating the step three to obtain new ephemeris information sent by the GNSS platform;
step six, decoding the new ephemeris information/history ephemeris information, adding the new ephemeris information/history ephemeris information into a message queue, merging the message queue to form a new ephemeris file/history ephemeris file, wherein the message queue comprises more than one group of new ephemeris information/history ephemeris information.
Step seven, establishing A by using the new ephemeris file 1 、A 2 …… A m An array, each array storing the new ephemeris file; establishing a by using the history ephemeris file 1 、a 2 …… a n An array, each array storing the history ephemeris file;
step eight, comparing m with n, if m is | =n (m is | represents m's factorization), then no more comparing the new ephemeris file with the history ephemeris file in terms of ephemeris information, and then indicating that the new ephemeris file is real ephemeris information; if m= n, then compare A 1 And a 1 ，A 2 And a 2 … …, if A k And a k The values of (1) are different (k is more than or equal to 1 and less than or equal to n), and the error results of the two are larger than or equal to a preset detection threshold, so that the new ephemeris file is false ephemeris information;
and step nine, positioning according to the real new ephemeris information, storing the positioning information in a cache of the equipment, and covering the new ephemeris information if the new ephemeris information in the last step is judged to be false ephemeris information.
Further, if the differential ephemeris data is data which is encrypted and compressed by the GNSS platform and then sent to the to-be-positioned Internet of things equipment;
the step of receiving differential ephemeris data sent from the GNSS platform further comprises: and decompressing and decrypting the differential ephemeris data to obtain decompressed and decrypted differential ephemeris data.
The comparison shows that the new ephemeris file is real ephemeris information; and injecting the real ephemeris information into a positioning chip to update in real time. A represents the spatial position of the new ephemeris, a represents the spatial position of the history ephemeris, and the detection threshold is 15 meters.
The above description is only of the preferred embodiments of the present invention, and is not intended to limit the present invention in any way, and any simple modification, equivalent variation and modification made to the above embodiments according to the technical principles of the present invention still fall within the scope of the technical solutions of the present invention.
Claims (4)
1. A trusted GNSS positioning method based on big data analysis comprises the following steps: step one, starting a positioning function in electronic equipment;
step two, judging whether the history ephemeris information pre-stored in the electronic equipment contains current geographic position information or not, and if the history ephemeris information does not contain the current geographic position information, entering a step three; if the history ephemeris information contains the current geographic position information, entering a step six;
encrypting and compressing geographic position information and/or version information of current ephemeris data in a preset range near the electronic equipment to obtain compressed data; sending an ephemeris data downloading request carrying the compressed data to a GNSS platform;
step four, receiving new ephemeris information sent by the GNSS platform, and storing the new ephemeris information in a cache of the device;
step five, repeating the step three to obtain new ephemeris information sent by the GNSS platform;
step six, decoding the new ephemeris information/history ephemeris information, adding the new ephemeris information/history ephemeris information into a message queue, and merging the message queue to form a new ephemeris file/history ephemeris file, wherein the message queue comprises more than one group of new ephemeris information/history ephemeris information;
step seven, establishing an A1 array and an A2 … … Am array of the new ephemeris file, and storing the new ephemeris file in each array; establishing a1, a2 … … an array of the history ephemeris file, and storing the history ephemeris file in each array;
step eight, comparing m with n, if m | =n and m| represent m's factorization, then no more comparing the new ephemeris file with the history ephemeris file, and then indicating that the new ephemeris file is real ephemeris information; if m= n, comparing A1 with A1, A2 with A2, … …, and if the values of Ak and Ak are different, wherein k is not less than 1 and not more than n, and the error results of the two are not less than a preset detection threshold, the new ephemeris file is false ephemeris information;
and step nine, positioning according to the real new ephemeris information, storing the positioning information in a cache of the equipment, and covering the new ephemeris information if the new ephemeris information in the last step is judged to be false ephemeris information.
2. The method for trusted GNSS positioning based on big data analysis of claim 1, wherein: if the differential ephemeris data are data which are encrypted and compressed by the GNSS platform and then sent to the to-be-positioned Internet of things equipment;
the step of receiving differential ephemeris data sent from the GNSS platform further comprises: and decompressing and decrypting the differential ephemeris data to obtain decompressed and decrypted differential ephemeris data.
3. The method for trusted GNSS positioning based on big data analysis of claim 1, wherein: the comparison shows that the new ephemeris file is real ephemeris information; and injecting the real ephemeris information into a positioning chip to update in real time.
4. The method for trusted GNSS positioning based on big data analysis of claim 1, wherein: a represents the spatial position of the new ephemeris, a represents the spatial position of the history ephemeris, and the detection threshold is 15 meters.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005006593A1 (en) * | 2003-06-27 | 2005-01-20 | Qualcomm Incorporated | Method and apparatus for communication of gps ephemeris |
| CN103105615A (en) * | 2013-01-21 | 2013-05-15 | 江苏指南针导航通信技术有限公司 | False detection method of satellite navigation signals and satellite navigation positioning receiver |
| CN103336285A (en) * | 2013-07-02 | 2013-10-02 | 江苏指南针导航通信技术有限公司 | Circuit and method for detecting false satellite navigation signal and satellite navigation receiving equipment |
| EP2650699A1 (en) * | 2012-04-12 | 2013-10-16 | Astrium GmbH | Detection of counterfeit signals in a satellite navigation system |
| EP2706381A1 (en) * | 2012-09-05 | 2014-03-12 | O2 Micro, Inc. | Satellite signal receiver and method for updating ephemeris information thereby |
| CN203519828U (en) * | 2013-07-02 | 2014-04-02 | 江苏指南针导航通信技术有限公司 | Circuit for detecting false satellite navigation signal and satellite navigation receiving equipment |
| CN104597463A (en) * | 2013-10-31 | 2015-05-06 | 凹凸电子（武汉）有限公司 | Receiver and satellite ephemeris or almanac effectiveness judging method |
| CN106842263A (en) * | 2017-01-21 | 2017-06-13 | 中国人民解放军信息工程大学 | Based on the satellite navigation method that navigation signal space time processing is combined with vector tracking |
| CN107064963A (en) * | 2017-04-13 | 2017-08-18 | 中国人民解放军理工大学 | A kind of detection method of false satellite ephemeris |
| RU2671238C1 (en) * | 2017-12-13 | 2018-10-30 | Акционерное общество научно-внедренческое предприятие "ПРОТЕК" | Nap gnss intentional interference detection method |
| EP3495848A1 (en) * | 2017-12-08 | 2019-06-12 | Centre National d'Etudes Spatiales | Device and method to detect spoofing of a terminal |
| CN111443363A (en) * | 2020-01-17 | 2020-07-24 | 中国人民解放军战略支援部队信息工程大学 | Satellite navigation deception identification method and device |
| CN112433238A (en) * | 2020-11-26 | 2021-03-02 | 中国人民解放军战略支援部队信息工程大学 | Credible GNSS positioning method based on big data analysis |
-
2020
- 2020-11-26 CN CN202011347994.6A patent/CN112433238B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005006593A1 (en) * | 2003-06-27 | 2005-01-20 | Qualcomm Incorporated | Method and apparatus for communication of gps ephemeris |
| EP2650699A1 (en) * | 2012-04-12 | 2013-10-16 | Astrium GmbH | Detection of counterfeit signals in a satellite navigation system |
| EP2706381A1 (en) * | 2012-09-05 | 2014-03-12 | O2 Micro, Inc. | Satellite signal receiver and method for updating ephemeris information thereby |
| CN103105615A (en) * | 2013-01-21 | 2013-05-15 | 江苏指南针导航通信技术有限公司 | False detection method of satellite navigation signals and satellite navigation positioning receiver |
| CN103336285A (en) * | 2013-07-02 | 2013-10-02 | 江苏指南针导航通信技术有限公司 | Circuit and method for detecting false satellite navigation signal and satellite navigation receiving equipment |
| CN203519828U (en) * | 2013-07-02 | 2014-04-02 | 江苏指南针导航通信技术有限公司 | Circuit for detecting false satellite navigation signal and satellite navigation receiving equipment |
| CN104597463A (en) * | 2013-10-31 | 2015-05-06 | 凹凸电子（武汉）有限公司 | Receiver and satellite ephemeris or almanac effectiveness judging method |
| CN106842263A (en) * | 2017-01-21 | 2017-06-13 | 中国人民解放军信息工程大学 | Based on the satellite navigation method that navigation signal space time processing is combined with vector tracking |
| CN107064963A (en) * | 2017-04-13 | 2017-08-18 | 中国人民解放军理工大学 | A kind of detection method of false satellite ephemeris |
| EP3495848A1 (en) * | 2017-12-08 | 2019-06-12 | Centre National d'Etudes Spatiales | Device and method to detect spoofing of a terminal |
| RU2671238C1 (en) * | 2017-12-13 | 2018-10-30 | Акционерное общество научно-внедренческое предприятие "ПРОТЕК" | Nap gnss intentional interference detection method |
| CN111443363A (en) * | 2020-01-17 | 2020-07-24 | 中国人民解放军战略支援部队信息工程大学 | Satellite navigation deception identification method and device |
| CN112433238A (en) * | 2020-11-26 | 2021-03-02 | 中国人民解放军战略支援部队信息工程大学 | Credible GNSS positioning method based on big data analysis |
Non-Patent Citations (8)
| Title |
|---|
| An Improved Pseudolite-Based Indoor Positioning System Compatible with GNSS;Zhang, WC;《PROCEEDINGS OF 2016 FOURTH INTERNATIONAL CONFERENCE ON UBIQUITOUS POSITIONING, INDOOR NAVIGATION AND LOCATION BASED SERVICES (IEEE UPINLBS 2016)》;全文 * |
| GNSS智能相干跟踪欺骗干扰方法及效能分析研究;张佩华;《现代导航》;全文 * |
| Improved Method for Single and Multiple GNSS Faults Exclusion based on Consensus Voting;Zhang, QQ;《JOURNAL OF NAVIGATION》;全文 * |
| The Stability of High-Precision Navigation Equipment to Spoofing;Lykyanov Vladislav;《2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)》;全文 * |
| 单差载波相位自主完好性监测算法;姚诗豪;李晓明;庞春雷;;空军工程大学学报(自然科学版)(第05期);全文 * |
| 卫星导航RAIM多星故障检测与识别方法研究;邓志鑫;李隽;刘孟江;;导航定位学报(第01期);全文 * |
| 卫星导航可用性监测技术;张发祥;《全球定位系统》;全文 * |
| 对GPS转发式干扰技术研究;谢红;;无线电工程(第03期);全文 * |
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