CN112782727A - Station distribution design method based on observation weak area compensation - Google Patents
Station distribution design method based on observation weak area compensation Download PDFInfo
- Publication number
- CN112782727A CN112782727A CN202011312716.7A CN202011312716A CN112782727A CN 112782727 A CN112782727 A CN 112782727A CN 202011312716 A CN202011312716 A CN 202011312716A CN 112782727 A CN112782727 A CN 112782727A
- Authority
- CN
- China
- Prior art keywords
- observation
- station
- weak area
- projection point
- point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
- G01S19/20—Integrity monitoring, fault detection or fault isolation of space segment
-
- 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
- G01S19/03—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers
- G01S19/07—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers providing data for correcting measured positioning data, e.g. DGPS [differential GPS] or ionosphere corrections
- G01S19/072—Ionosphere corrections
-
- 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
- G01S19/14—Receivers specially adapted for specific applications
-
- 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
Abstract
The invention discloses a station arrangement design method based on observation weak area compensation, which comprises the following steps: step 1, evaluating the observation capability of the existing station network: and 2, observing weak area selection: step 3, projection point calculation and spatial distribution probability statistics: step 4, supplementary observation site selection: and 5, calculating the observation capability after compensation and determining the newly added station address. The method disclosed by the invention can obtain the position of a quantitative optimized newly-added station based on the probability statistical analysis of the observation weak area projection, and has important significance for ionosphere foundation monitoring network planning. The method can also be used for quantitative evaluation of the observation capability of the existing station network, and has important significance for more accurately mastering the monitoring capability of the existing observation system.
Description
Technical Field
The invention belongs to the technical field of ionosphere detection, and particularly relates to a station arrangement design method based on observation weak area compensation in the field.
Background
The GNSS ground measurement has become one of the most important technical means for ionospheric environment monitoring due to its advantages of low cost, wide distribution, small occupied space, high measurement accuracy, and the like. In China, a GNSS diagnostic system is already deployed in a radio wave environment observation station network, however, the GNSS diagnostic system is deployed mainly according to the existing station conditions when the system is deployed, and after the system is deployed to form an observation network, whether the station network layout is reasonable or not, whether the overall observation capability is in an optimized state or not, how to select observation stations is supplemented, and therefore the observation performance of the station network can be effectively improved, and a quantitative station deployment design method is not provided. Therefore, the evaluation of the observation capability of the existing observation station network is developed, and the quantitative station arrangement design is realized on the basis of the analysis of the weak observation area, so that the problem to be solved urgently in planning the station network is solved.
Disclosure of Invention
The invention aims to provide a station arrangement design method based on observation weak area compensation.
The invention adopts the following technical scheme:
the station distribution design method based on observation weak area compensation is improved by comprising the following steps of:
calculating an ionosphere puncture point of a satellite-ground link connecting line of an observation station and a GNSS satellite based on the site position of the existing observation station, and obtaining the space coverage capability of station network ionosphere observation through statistics of the puncture point;
and 2, observing weak area selection:
searching points with observation times smaller than a threshold value in a station network observation capacity space distribution diagram as observation weak area positions;
calculating the position of a ground projection point of a GNSS satellite-observation weak area point connecting line, and counting the spatial distribution probability of the ground projection point to obtain a projection point probability spatial distribution map;
assume projected point position (x, y, z), satellite position (x)0,y0,z0) Observing the location of the weak area (x)1,y1,z1) Then, the position of the projection point satisfies the following spherical equation and linear equation at the same time:
wherein R is the distance between the projection point and the geocenter, y and z in the spherical equation are eliminated first, so that the first second formula and the first third formula of the linear equation are combined to obtain y, and z is:
y=k1(x-x0)+y0 (4)
z=k2(x-x0)+z0 (5)
the spherical equations are:
x2+k1 2(x-x0)2+2y0k1(x-x0)+y0 2+k2 2(x-x0)2+2z0k2(x-x0)+z0 2-R2=0 (6)
the polynomial decomposition can yield:
the same kind of items are combined to obtain:
therefore, the method comprises the following steps:
ax2+bx+c=0 (9)
wherein:
if Δ ═ b24ac is greater than or equal to 0, then the quadratic equation has two solutions:
two points are respectively positioned at two sides of the earth, and the solving method needs to be full except for the criterion whether the connecting line of the satellite and the release disturbance area can be intersected with the earth surfaceFoot x ≠ x0When x is equal to x0The solution can be solved with y, in this case:
wherein:
and x, z can be expressed as:
x=k1(y-y0)+x0 (16)
z=k2(y-y0)+z0 (17)
for the same reason, x is0,y=y0Then, z can be used to solve:
wherein:
and x, z can be expressed as:
y=k1(z-z0)+y0 (22)
x=k2(z-z0)+x0 (23)
the two cross points are obtained by taking a round off by using the following criteria:
d=min(d1,d2) (25)
taking a satellite projection point which is closer to the position of the disturbance point;
selecting a projection point dense area as a position for supplementing an observation station according to the projection point probability space distribution map;
step 5, calculating the observation capability after compensation and determining the newly added station address:
and calculating the observation capacity spatial distribution of the observation station network after the supplementary station, judging whether the observation weak area is effectively compensated or not, further determining the position of the supplementary observation station, and finishing the planning design of the station network.
The invention has the beneficial effects that:
the method disclosed by the invention can obtain the position of a quantitative optimized newly-added station based on the probability statistical analysis of the observation weak area projection, and has important significance for ionosphere foundation monitoring network planning. The method can also be used for quantitative evaluation of the observation capability of the existing station network, and has important significance for more accurately mastering the monitoring capability of the existing observation system.
Drawings
FIG. 1 is a schematic flow chart of the method disclosed in example 1 of the present invention;
FIG. 2 is a spatial distribution diagram of observation capability of a radio wave environment observation station network;
FIG. 3 is a diagram of a weak area observation map of a radio wave environment observation station network;
FIG. 4 is a probability distribution plot for a single moment proxel;
FIG. 5 is a 24 hour projected point probability distribution plot;
FIG. 6 is a graph of the number of added stations versus the number of threshold projection points;
fig. 7 is a graph showing the evaluation results of the observation ability after compensation.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
the existing station network observation capability evaluation means that ionosphere puncture points of a connection line of an observation station and a GNSS satellite earth link are calculated based on the position of a station address of an existing observation station, and the space coverage capability of station network ionosphere observation is obtained through statistics of the puncture points;
in this embodiment, a radio wave environment observation station network is taken as an example for explanation, and fig. 2 shows a spatial distribution diagram of observation capability of a radio wave environment observation station network calculated according to the above method, which can reflect the evaluation result of the observation capability of the radio wave environment observation station network, where five stars are station site positions and gray scales are effective observation times.
And 2, observing weak area selection:
the observation weak area selection means that a point, of which the observation times are smaller than a threshold value, in a station network observation capacity space distribution diagram is searched to serve as an observation weak area position;
it is assumed that the observation ability of Hubei, Hunan, Guizhou and Guangxi province needs to be improved. The selection target area is:
latitude: 23-33 deg
Longitude: 106 DEG-116 DEG
If the threshold of the selected observation times is 1500 times, the weak area is observed as shown in fig. 3. The coordinates of the observation weak area are as follows:
25 108
24 109
25 109
26 109
27 109
29 109
29 110
28 111
29 111
30 111
31 111
27 112
28 112
29 112
30 112
31 112
26 113
27 113
28 113
30 113
31 113
30 114
32 114
32 115
the projection point calculation and spatial distribution probability statistics refer to calculating the position of a ground projection point of a GNSS satellite-observation weak area point connecting line, and carrying out statistics on the spatial distribution probability to obtain a projection point probability spatial distribution map;
assume projected point position (x, y, z), satellite position (x)0,y0,z0) Observing the location of the weak area (x)1,y1,z1) Then, the position of the projection point satisfies the following spherical equation and linear equation at the same time:
wherein R is the distance between the projection point and the geocenter, y and z in the spherical equation are eliminated first, so that the first second formula and the first third formula of the linear equation are combined to obtain y, and z is:
y=k1(x-x0)+y0 (4)
z=k2(x-x0)+z0 (5)
the spherical equations are:
x2+k1 2(x-x0)2+2y0k1(x-x0)+y0 2+k2 2(x-x0)2+2z0k2(x-x0)+z0 2-R2=0 (6)
the polynomial decomposition can yield:
the same kind of items are combined to obtain:
therefore, the method comprises the following steps:
ax2+bx+c=0 (9)
wherein:
if Δ ═ b24ac is greater than or equal to 0, then the quadratic equation has two solutions:
two points are respectively positioned at two sides of the earth, and the solving method needs to meet the condition that x is not equal to x except the criterion that whether the connecting line of the satellite and the release disturbance area can intersect with the earth surface or not0When x is equal to x0The solution can be solved with y, in this case:
wherein:
and x, z can be expressed as:
x=k1(y-y0)+x0 (16)
z=k2(y-y0)+z0 (17)
for the same reason, x is0,y=y0Then, z can be used to solve:
wherein:
and x, z can be expressed as:
y=k1(z-z0)+y0 (22)
x=k2(z-z0)+x0 (23)
the two cross points are obtained by taking a round off by using the following criteria:
d=min(d1,d2) (25)
taking a satellite projection point which is closer to the position of the disturbance point;
the calculated probability distribution graph of the single-time projection point is shown in fig. 4, and the probability distribution graph of the 24-hour projection point is shown in fig. 5, where the dots are weak observation areas, and the gray level is the total number of the projection points, or the probability of the projection points. It can be seen from the figure that the positions of the observation weak area and the projection point are not coincident, that is, the position of the supplementary station cannot be directly selected according to the position of the observation weak area, and needs to be determined by a method based on probability calculation.
the supplementary observation station selection means that a dense projection point area is selected as the position of the supplementary observation station according to the projection point probability space distribution map;
the former steps give the probability distribution of the projection point number, and the region layout site with high probability can be selected from the probability distribution. To make the selection of the number of sites more reasonable, a histogram is drawn with the number of sites increasing as a function of the number of threshold projection points, as shown in fig. 6. It can be seen that there are two sites with an observation probability greater than 14 and 5 sites with an observation probability greater than 12. Taking into account the uniformity of the spatial distribution of these sites, the following two sites are chosen: site 1: (30 °, 113 °), station 2: (27 °, 111 °).
Step 5, calculating the observation capability after compensation and determining the newly added station address:
the observation capacity calculation after compensation and the new station address determination refer to calculating the observation capacity spatial distribution of the observation station network after the supplementary station, judging whether the observation weak area is effectively compensated or not, further determining the position of the supplementary observation station, and finishing the station network planning design.
The observation coverage area distribution of the station network is calculated after two observation stations are supplemented, the simulation result is shown in fig. 7, the observation capacity in the target area is remarkably improved, the average observation times of the target area are 4564 times after compensation, 1182 times before compensation, and the observation capacity is improved by nearly 286%. Thus, the observation weak area is effectively determined to be compensated, and a new observation station is added at the two positions.
In conclusion, the method can realize effective compensation of the observation capability defect of the existing observation station network through the steps of the existing station network observation capability evaluation, the observation weak area selection, the projection point calculation and the spatial distribution probability statistics, the supplement of the observation station selection, the observation capability calculation after compensation, the determination of the newly added station address and the like, and has important significance on the ionized layer foundation monitoring network planning design.
Claims (1)
1. A station arrangement design method based on observation weak area compensation is characterized by comprising the following steps:
step 1, evaluating the observation capability of the existing station network:
calculating an ionosphere puncture point of a satellite-ground link connecting line of an observation station and a GNSS satellite based on the site position of the existing observation station, and obtaining the space coverage capability of station network ionosphere observation through statistics of the puncture point;
and 2, observing weak area selection:
searching points with observation times smaller than a threshold value in a station network observation capacity space distribution diagram as observation weak area positions;
step 3, projection point calculation and spatial distribution probability statistics:
calculating the position of a ground projection point of a GNSS satellite-observation weak area point connecting line, and counting the spatial distribution probability of the ground projection point to obtain a projection point probability spatial distribution map;
assume projected point position (x, y, z), satellite position (x)0,y0,z0) Observing the location of the weak area (x)1,y1,z1) Then, the position of the projection point satisfies the following spherical equation and linear equation at the same time:
wherein R is the distance between the projection point and the geocenter, y and z in the spherical equation are eliminated first, so that the first second formula and the first third formula of the linear equation are combined to obtain y, and z is:
y=k1(x-x0)+y0 (4)
z=k2(x-x0)+z0 (5)
the spherical equations are:
x2+k1 2(x-x0)2+2y0k1(x-x0)+y0 2+k2 2(x-x0)2+2z0k2(x-x0)+z0 2-R2=0 (6)
the polynomial decomposition can yield:
the same kind of items are combined to obtain:
therefore, the method comprises the following steps:
ax2+bx+c=0 (9)
wherein:
a=1+k1 2+k2 2
b=-2k1 2x0-2k2 2x0+2y0k1+2z0k2 (10)
c=k1 2x0 2-2y0k1x0+y0 2+k2 2x0 2-2z0k2x0+z0 2-R2
if Δ ═ b24ac is greater than or equal to 0, then the quadratic equation has two solutions:
two points are respectively positioned at two sides of the earth, and the solving method needs to meet the condition that x is not equal to x except the criterion that whether the connecting line of the satellite and the release disturbance area can intersect with the earth surface or not0When x is equal to x0The solution can be solved with y, in this case:
wherein:
a=1+k1 2+k2 2
b=-2k1 2y0-2k2 2y0+2x0k1+2z0k2 (13)
c=k1 2y0 2-2x0k1y0+x0 2+k2 2y0 2-2z0k2y0+z0 2-R2
and x, z can be expressed as:
x=k1(y-y0)+x0 (16)
z=k2(y-y0)+z0 (17)
for the same reason, x is0,y=y0Then, z can be used to solve:
wherein:
a=1+k1 2+k2 2
b=-2k1 2z0-2k2 2z0+2y0k1+2x0k2 (19)
c=k1 2z0 2-2y0k1z0+y0 2+k2 2z0 2-2x0k2z0+x0 2-R2
and x, z can be expressed as:
y=k1(z-z0)+y0 (22)
x=k2(z-z0)+x0 (23)
the two cross points are obtained by taking a round off by using the following criteria:
d=min(d1,d2) (25)
taking a satellite projection point which is closer to the position of the disturbance point;
step 4, supplementary observation site selection:
selecting a projection point dense area as a position for supplementing an observation station according to the projection point probability space distribution map;
step 5, calculating the observation capability after compensation and determining the newly added station address:
and calculating the observation capacity spatial distribution of the observation station network after the supplementary station, judging whether the observation weak area is effectively compensated or not, further determining the position of the supplementary observation station, and finishing the planning design of the station network.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011312716.7A CN112782727B (en) | 2020-11-20 | 2020-11-20 | Station distribution design method based on observation weak area compensation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011312716.7A CN112782727B (en) | 2020-11-20 | 2020-11-20 | Station distribution design method based on observation weak area compensation |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112782727A true CN112782727A (en) | 2021-05-11 |
CN112782727B CN112782727B (en) | 2022-03-25 |
Family
ID=75750568
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011312716.7A Active CN112782727B (en) | 2020-11-20 | 2020-11-20 | Station distribution design method based on observation weak area compensation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112782727B (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5948055A (en) * | 1996-08-29 | 1999-09-07 | Hewlett-Packard Company | Distributed internet monitoring system and method |
CN1329402A (en) * | 2000-06-12 | 2002-01-02 | 索尼株式会社 | Radio communication equipment and method for measuring distance |
US20060070113A1 (en) * | 2004-09-16 | 2006-03-30 | Airtight Networks, Inc. (F/K/A Wibhu Technologies, Inc.) | Method for wireless network security exposure visualization and scenario analysis |
CN101977387A (en) * | 2010-10-25 | 2011-02-16 | 电子科技大学 | Method for determining distance between relay and base station in LTE-Advanced relay network |
CN103163533A (en) * | 2013-03-27 | 2013-06-19 | 武汉大学 | Seamless fusion expression and correction method of global navigation satellite system (GNSS) global and regional ionospheric delay |
US20140035778A1 (en) * | 2012-08-03 | 2014-02-06 | Thales | Method of monitoring the integrity of radio-navigation stations in a satellite based augmentation system |
CN103792546A (en) * | 2012-10-31 | 2014-05-14 | 中国科学院光电研究院 | Increment ionosphere refraction error correction method |
CN104097803A (en) * | 2014-07-14 | 2014-10-15 | 河北科技大学 | Rebar connecting sleeve conveying and arranging device |
CN107506910A (en) * | 2017-08-09 | 2017-12-22 | 上海蔚来汽车有限公司 | The method for assessing electrical changing station service ability |
CN111273335A (en) * | 2019-12-20 | 2020-06-12 | 中国电波传播研究所(中国电子科技集团公司第二十二研究所) | Ionosphere tomography method based on vertical measurement data constraint |
-
2020
- 2020-11-20 CN CN202011312716.7A patent/CN112782727B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5948055A (en) * | 1996-08-29 | 1999-09-07 | Hewlett-Packard Company | Distributed internet monitoring system and method |
CN1329402A (en) * | 2000-06-12 | 2002-01-02 | 索尼株式会社 | Radio communication equipment and method for measuring distance |
US20060070113A1 (en) * | 2004-09-16 | 2006-03-30 | Airtight Networks, Inc. (F/K/A Wibhu Technologies, Inc.) | Method for wireless network security exposure visualization and scenario analysis |
CN101977387A (en) * | 2010-10-25 | 2011-02-16 | 电子科技大学 | Method for determining distance between relay and base station in LTE-Advanced relay network |
US20140035778A1 (en) * | 2012-08-03 | 2014-02-06 | Thales | Method of monitoring the integrity of radio-navigation stations in a satellite based augmentation system |
CN103792546A (en) * | 2012-10-31 | 2014-05-14 | 中国科学院光电研究院 | Increment ionosphere refraction error correction method |
CN103163533A (en) * | 2013-03-27 | 2013-06-19 | 武汉大学 | Seamless fusion expression and correction method of global navigation satellite system (GNSS) global and regional ionospheric delay |
CN104097803A (en) * | 2014-07-14 | 2014-10-15 | 河北科技大学 | Rebar connecting sleeve conveying and arranging device |
CN107506910A (en) * | 2017-08-09 | 2017-12-22 | 上海蔚来汽车有限公司 | The method for assessing electrical changing station service ability |
CN111273335A (en) * | 2019-12-20 | 2020-06-12 | 中国电波传播研究所(中国电子科技集团公司第二十二研究所) | Ionosphere tomography method based on vertical measurement data constraint |
Non-Patent Citations (10)
Title |
---|
A. V. MIKHAILOV: "On the mechanism of seasonal and solar cycle NmF2 variations:A quantitative estimate of the main parameters contribution using incoherent scatter radar observations", 《JOURNAL OF GEOPHYSICAL RESEARCH》 * |
HAI-SHENG ZHAO: "A temporal three-dimensional simulation of samarium release in the ionosphere", 《JOURNAL OF GEOPHYSICAL RESEARCH: SPACE PHYSICS》 * |
V.M.SMIRNOV: "Ionospheric Disturbances during of the Thsunamigenic Earthquzke on Navigation System Data", 《HTTPS://WWW.RESEARCHGATE.NET/PUBLICATION/228862524》 * |
刘瑞华等: "BDSBAS完好性保护级分析与研究", 《航天控制》 * |
刘瑞华等: "北斗星基增强系统的参考站布站设计与分析", 《通信技术》 * |
左宗等: "极地GNSS性能仿真分析研究", 《全球定位系统》 * |
杨新文等: "一种基于卫星穿刺点位置的区域电离层增强方法", 《测绘通报》 * |
白晓涛: "基于北斗GEO卫星的磁暴期间电离层TEC响应分析", 《大地测量与地球动力学》 * |
祁芳: "广州市连续运行卫星定位城市测量综合服务系统的建立", 《现代空间定位技术研讨交流会文集》 * |
许正文等: "电离层CT技术数据预处理方法的讨论", 《电波科学学报》 * |
Also Published As
Publication number | Publication date |
---|---|
CN112782727B (en) | 2022-03-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103529462B (en) | A kind of dynamic cycle-slip detection and repair method for GLONASS (Global Navigation Satellite System) | |
CN101971047B (en) | Device and method for the real-time monitoring of the integrity of a satellite navigation system | |
CN108981559A (en) | Real-time deformation monitoring method and system based on Beidou ground strengthening system | |
CN104635203B (en) | Radio interference source direction-finding and positioning method based on particle filter algorithm | |
CA2808155C (en) | Adaptive method for estimating the electron content of the ionosphere | |
CN108828627A (en) | A kind of GBAS integrity based on Gauss plavini is warned threshold estimation method | |
GB2499275A (en) | Navigation receiver | |
CN104965207A (en) | Method for acquiring area troposphere zenith delay | |
CN110579780B (en) | Shadow matching improvement algorithm based on Beidou GEO satellite | |
CN104318089A (en) | Threshold value determining method for local enhanced system completeness monitoring | |
WO2015145718A1 (en) | Positioning device | |
CN105425248B (en) | The high frequency of single-frequency GNSS phase stabilities monitoring is by epoch phase difference method | |
Jin et al. | Ionospheric correlation analysis and spatial threat model for SBAS in China region | |
CN104392113B (en) | A kind of evaluation method of COASTAL SURFACE cold reactive antibodies wind speed | |
CN104933316A (en) | Ionized layer obscuration retrieval method based on two-parameter mixture regularization | |
CN112782727B (en) | Station distribution design method based on observation weak area compensation | |
CN114265090A (en) | Receiver autonomous integrity monitoring method based on Bayesian inspection | |
CN116755126B (en) | Beidou real-time accurate positioning method based on three-dimensional model mapping matching | |
Shan et al. | Optimization model of GNSS/pseudolites structure design for open-pit mine positioning | |
CN209802285U (en) | Monitoring system for deformation of communication base station antenna | |
Weng et al. | Characterization and mitigation of urban GNSS multipath effects on smartphones | |
CN115902968A (en) | PPP terminal positioning method based on Beidou third GEO broadcast enhancement information | |
CN114527500A (en) | Indoor and outdoor integrated positioning method, equipment, medium and product | |
CN112034491A (en) | Integrity protection level calculation method based on error core distribution | |
Yun et al. | Automated determination of fault detection thresholds for integrity monitoring algorithms of GNSS augmentation systems |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |