CN110809316A - Pseudo base station detection positioning method and detection positioning system thereof - Google Patents
Pseudo base station detection positioning method and detection positioning system thereof Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
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- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
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- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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Abstract
The invention discloses a pseudo base station detection and positioning method based on intelligent vehicle networking, which comprises the steps that a vehicle accessing a network reports vehicle information to an intelligent vehicle networking platform in real time; the intelligent Internet of vehicles platform judges whether the current access base station is a pseudo base station according to the full base station database; if the pseudo base station is the pseudo base station, calculating to obtain a pseudo base station pre-selection coordinate set according to the position of the vehicle when receiving the base station information and the distance between the vehicle and the pseudo base station when receiving the base station information; and a plurality of pseudo base station pre-selection coordinate sets, wherein the overlapped parts of the pseudo base station pre-selection coordinate sets are used as the pseudo base station coordinate sets. The invention discloses a pseudo base station detection positioning system based on intelligent Internet of vehicles. The method and the system can detect and locate the pseudo base station more efficiently, attack telecommunication fraud crime behaviors, further reduce the risk of accessing the pseudo base station by the intelligent Internet vehicle, and improve the user experience of the intelligent Internet vehicle.
Description
Technical Field
The invention relates to the field of intelligent driving, in particular to a pseudo base station detection and positioning method based on intelligent Internet of vehicles. The invention further relates to a pseudo base station detection and positioning system based on the intelligent vehicle networking.
Background
The concept of the internet of vehicles is derived from the internet of things, namely the internet of vehicles, the network connection between vehicles and X (namely the vehicles, people, roads and service platforms) is realized by taking the vehicles in driving as information perception objects and by means of a new generation of information communication technology, the overall intelligent driving level of the vehicles is improved, safe, comfortable, intelligent and efficient driving feeling and traffic service are provided for users, meanwhile, the traffic operation efficiency is improved, and the intelligent level of social traffic service is improved. [2]
The car networking realizes the all-round network link of car and cloud platform, car and car, car and road, car and people, car interior through the information communication technology of new generation, has mainly realized "three nets merge", namely fuses car intranet, intercar network and on-vehicle mobile internet. The car networking senses the state information of the vehicles by using a sensing technology, and realizes intelligent management of traffic, intelligent decision of traffic information service and intelligent control of the vehicles by using a wireless communication network and a modern intelligent information processing technology.
A pseudo base station is a special mobile communication device, which, using mobile communication technology, is pseudo-posed as a regular base station of a telecommunications operator (e.g. telecommunications, mobile, unicom), to which mobile terminals (e.g. handsets, PADs, etc.) within the coverage area are forced to access when it is in operation. Through the pseudo base station, various short messages can be forcibly sent to the mobile phone of the user by arbitrarily falsifying the telephone numbers of other people, so that illegal persons can carry out illegal range behaviors such as telecommunication fraud, personal information stealing and the like.
In the current effective mode of striking the pseudo base station, a detection platform of the pseudo base station already appears, and the mode is mainly that after a notification message or an undetermined message is received by a mobile terminal, the notification message or the undetermined message is reported to the detection platform together with position information. After receiving a large amount of information reported by users, the detection platform obtains a sending position point of the information by using a big data clustering algorithm, and then compares the position point with an actual base station in a base station map to judge whether the base station is a pseudo base station or not.
However, in this method, there is a risk that the privacy of a person is violated when the short message information of the user is obtained first, and the method of determining the pseudo base station through the location point is not accurate enough, and since the mobility of the mobile terminals receiving the information is not strong, it is determined that more mobile terminals need to access the same pseudo base station, which results in low positioning efficiency. There is a need for a pseudo base station detection technique with more accurate detection and more efficient positioning.
Disclosure of Invention
The invention aims to provide a method for detecting, identifying and accurately positioning a pseudo base station based on an intelligent vehicle in the Internet of vehicles.
The invention aims to solve another technical problem of providing a system capable of detecting, identifying and accurately positioning a pseudo base station based on an intelligent vehicle in the Internet of vehicles.
In order to solve the technical problem, the invention provides a pseudo base station detection and positioning method based on an intelligent vehicle in the Internet of vehicles, which comprises the following steps:
s1, the vehicle accessing the network reports the vehicle information to the intelligent Internet of vehicles platform in real time;
the vehicle information comprises current access base station information, vehicle position when receiving the base station information and distance between the vehicle and the base station when receiving the base station information;
s2, the intelligent Internet of vehicles platform judges whether the current access base station is a pseudo base station according to the full base station database;
s3, if the pseudo base station is used, calculating according to the position of the vehicle when the base station information is received and the distance between the vehicle and the pseudo base station when the base station information is received to obtain a pseudo base station pre-selection coordinate set;
and S4, repeatedly executing the steps S1-S3 to obtain a plurality of pseudo base station pre-selection coordinate sets, and taking the overlapped parts of the pseudo base station pre-selection coordinate sets as the pseudo base station coordinate sets. The repeated execution of steps S1-S3 may be that a vehicle generates different pseudo base station coordinate sets due to different positions during the moving process, or different pseudo base station coordinate sets are generated during the joining judgment process of different vehicles.
Optionally, the pseudo base station detection and positioning method is further improved, and in step S5, the obtained pseudo base station coordinate set is uploaded to an intelligent vehicle networking platform to form a pseudo base station blacklist, the pseudo base station blacklist is issued to a vehicle accessing the network, and the vehicle accessing the network shields the pseudo base stations in the blacklist.
Optionally, the pseudo base station detection and positioning method is further improved, and the vehicle position is obtained by satellite positioning when the base station information is received, wherein the vehicle position comprises GPS positioning, galileo satellite positioning and/or beidou satellite positioning.
Optionally, the method for detecting and positioning the pseudo base station is further improved, where the information of the currently accessed base station includes a location Area code lac (location Area code) and a base station cell number cid (cell identity).
Optionally, the method for detecting and positioning the pseudo base station is further improved, and the distance between the vehicle and the base station when receiving the information of the base station is obtained by calculating the transmitting power of the base station and the power of the signal when the vehicle receives the information.
Optionally, the pseudo base station detection and location method is further improved, and the distance between the vehicle and the base station when receiving the base station information is a distance range represented by a minimum distance MIN and a maximum distance MAX.
Optionally, the method for detecting and positioning a pseudo base station is further improved, and when step S2 is implemented, the official full-scale base station database is queried through the obtained location area code LAC and the base station cell number CID to determine whether the base station is a pseudo base station.
Optionally, the method for detecting and positioning the pseudo base station is further improved, and if the base station information is not inquired in an official full base station database, the base station is judged to be the pseudo base station;
if the base station information is inquired from the official full base station database, calculating the distance M between the base station position and the current position of the vehicle recorded in the official full base station database, and if the distance M is larger than the maximum distance MAX, judging the base station to be a pseudo base station.
Optionally, the method for detecting and positioning the pseudo base station is further improved, and when step S3 is implemented, the following method is adopted to calculate and obtain the pre-selected coordinate set of the pseudo base station:
Blat＝(d*1000*Sin(θ*π/180)/Eb+(Ea-Eb)*(90-Alat)/90*Cos(Alat*π/180)+Alon*π/180)*180/π；
Blon＝(d*1000*Cos(θ*π/180.0)/Eb+(Ea-Eb)*(90-Alat)/90+Alat*π/180)*180/π；
(Blat, Blon) is the calculated coordinate point of the base station;
(Alat, Alon) is a coordinate point reported by the vehicle;
d is the distance between target point B and the known point;
theta is an angle between a target point B and a known point A, which is obtained by increasing a preset angle in a clockwise direction with the north and the south as 0 degree;
ea is the equatorial radius, Eb is the polar radius;
and traversing 0-360 degrees by theta, covering the distance range reported by the vehicle by a preset step length by d, and calculating to obtain a pseudo base station preselected coordinate set.
The invention provides a pseudo base station detecting and positioning system based on intelligent Internet of vehicles, which comprises:
the vehicle networking terminal module is installed on a vehicle added with the intelligent vehicle networking, is suitable for data communication between the vehicle and the intelligent vehicle networking platform, and calculates the distance between the vehicle and the pseudo base station when the base station information is received;
the intelligent vehicle networking platform judges whether the current access base station is a pseudo base station or not according to the full base station database;
the pseudo base station position pre-calculation module is used for calculating to obtain a pseudo base station pre-selection coordinate set according to the position of the vehicle when receiving the base station information and the distance between the vehicle and the pseudo base station when receiving the base station information;
and the optimization module receives a plurality of pseudo base station preselected coordinate sets and takes the overlapped parts of the pseudo base station preselected coordinate sets as the pseudo base station coordinate sets.
Optionally, the pseudo base station detection and positioning system is further improved, the car networking terminal module uploads the obtained pseudo base station coordinate set to the intelligent car networking platform to form a pseudo base station blacklist, the pseudo base station blacklist is issued to the vehicle accessing the network, and the vehicle accessing the network shields the pseudo base stations in the blacklist.
Optionally, the pseudo base station detection and positioning system is further improved, and the vehicle networking terminal module reports real-time vehicle information of the vehicle in the network to the intelligent vehicle networking platform;
the vehicle information includes current access base station information, a vehicle position when receiving the base station information, and a distance between the vehicle and the base station when receiving the base station information.
Optionally, the pseudo base station detection and positioning system is further improved, and the vehicle position is obtained by satellite positioning when the base station information is received, wherein the vehicle position comprises GPS positioning, galileo satellite positioning and/or beidou satellite positioning.
Optionally, the pseudo-enb detecting and positioning system is further improved, where the information of the currently accessed enb includes a location Area code lac (location Area code) and a cell identity (cid) of the enb.
Optionally, the pseudo base station detection and positioning system is further improved, and the distance between the vehicle and the base station when receiving the information of the base station is obtained by calculating the transmitting power of the base station and the power of the signal when the vehicle receives the information.
Optionally, the pseudo base station detection and location system is further improved, and the distance between the vehicle and the base station when receiving the base station information is a distance range represented by a minimum distance MIN and a maximum distance MAX.
Optionally, the pseudo base station detection and positioning system is further improved, and the pseudo base station judgment module queries an official full base station database through the acquired location area code LAC and the base station cell number CID to judge whether the base station is a pseudo base station.
Optionally, the pseudo base station detection positioning system is further improved, and if the base station information is not queried in the official full base station database, the base station is judged to be a pseudo base station;
if the base station information is inquired from the official full base station database, calculating the distance M between the base station position and the current position of the vehicle recorded in the official full base station database, and if the distance M is larger than the maximum distance MAX, judging the base station to be a pseudo base station.
Optionally, the pseudo base station detection and positioning system is further improved, and a pseudo base station position pre-calculation module calculates to obtain a pseudo base station pre-selection coordinate set in the following manner;
Blat＝(d*1000*Sin(θ*π/180)/Eb+(Ea-Eb)*(90-Alat)/90*Cos(Alat*π/180)+Alon*π/180)*180/π；
Blon＝(d*1000*Cos(θ*π/180.0)/Eb+(Ea-Eb)*(90-Alat)/90+Alat*π/180)*180/π；
(Blat, Blon) is the calculated coordinate point of the base station;
(Alat, Alon) is a coordinate point reported by the vehicle;
d is the distance between target point B and the known point;
theta is an angle between a target point B and a known point A, which is obtained by increasing a preset angle in a clockwise direction with the north and the south as 0 degree;
ea is the equatorial radius, Eb is the polar radius;
and traversing 0-360 degrees by theta, covering the distance range reported by the vehicle by a preset step length by d, and calculating to obtain a pseudo base station preselected coordinate set.
According to the national standard requirement of technical Specifications of electric automobile remote service and management systems (GB/T32960), vehicles (particularly new energy vehicles) need to actively upload data to a vehicle network platform, and a data basis is provided for the invention.
Based on an intelligent Internet of vehicles platform and intelligent Internet vehicles joining the intelligent Internet of vehicles, the intelligent Internet of vehicles platform has the function of receiving vehicle information and is used for receiving information reported by the vehicles; and the large data processing capacity is used for rapidly obtaining a calculation result from massive data. The intelligent internet vehicle is provided with a vehicle-mounted terminal and is used for accessing a mobile communication network; possess the function of sending vehicle information for send information to intelligent car networking platform. The pseudo base station can be more accurately identified through the identification in the base station information, and each intelligent networked vehicle can provide positioning data of a plurality of coordinate points due to the fact that the vehicle moves rapidly, and the position of the pseudo base station can be rapidly positioned by combining algorithm processing of big data, so that the pseudo base station can be attacked.
The invention can be implemented by one mobile vehicle, or by more than two fixed position vehicles, or by combining the fixed position vehicles with the mobile vehicle, and the more intelligent internet vehicles provide data for the intelligent internet platform, the more accurate the positioning detection result obtained by the invention is. By adopting the method and the system, the pseudo base station can be detected and positioned more efficiently, the criminal behavior of telecommunication fraud is struck, the risk of accessing the pseudo base station by the intelligent Internet vehicle can be further reduced, and the user experience of the intelligent Internet vehicle is improved.
Drawings
The invention will be described in further detail with reference to the following detailed description and accompanying drawings:
fig. 1 is a schematic flow chart of a pseudo base station detection and positioning method according to the present invention.
Fig. 2 is a diagram of a pseudo base station detection and positioning method according to a third embodiment of the present invention.
Fig. 3 is a diagram of a pseudo base station detecting and positioning method according to a third embodiment of the present invention.
Fig. 4 is a diagram of a third embodiment of a pseudo base station detection and positioning method according to the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and technical effects of the present invention will be fully apparent to those skilled in the art from the disclosure in the specification. The invention is capable of other embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the general spirit of the invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
The invention provides a first embodiment of a pseudo base station detection and positioning method based on an intelligent Internet of vehicles, which comprises the following steps:
s1, the vehicle accessing the network reports the vehicle information to the intelligent Internet of vehicles platform in real time;
the vehicle information comprises current access base station information, vehicle position when receiving the base station information and distance between the vehicle and the base station when receiving the base station information;
s2, the intelligent Internet of vehicles platform judges whether the current access base station is a pseudo base station according to the full base station database;
s3, if the pseudo base station is used, calculating according to the position of the vehicle when the base station information is received and the distance between the vehicle and the pseudo base station when the base station information is received to obtain a pseudo base station pre-selection coordinate set;
and S4, repeatedly executing the steps S1-S3 to obtain a plurality of pseudo base station pre-selection coordinate sets, and taking the overlapped parts of the pseudo base station pre-selection coordinate sets as the pseudo base station coordinate sets.
The first embodiment of the invention may be implemented by a moving vehicle, i.e. the vehicle moving to different locations may obtain a plurality of sets of pseudo base station pre-selected coordinates. It may also be implemented by more than two fixed position vehicles, or a fixed position vehicle in combination with a moving vehicle. The more intelligent internet vehicles provide data for the intelligent internet platform, the more accurate the obtained positioning detection result.
The invention provides a second embodiment of a pseudo base station detection and positioning method based on an intelligent Internet of vehicles, which comprises the following steps:
s1, the vehicle accessing the network reports the vehicle information to the intelligent Internet of vehicles platform in real time;
the vehicle information comprises current access base station information, vehicle position when receiving the base station information and distance between the vehicle and the base station when receiving the base station information;
s2, the intelligent Internet of vehicles platform judges whether the current access base station is a pseudo base station according to the full base station database;
s3, if the pseudo base station is used, calculating according to the position of the vehicle when the base station information is received and the distance between the vehicle and the pseudo base station when the base station information is received to obtain a pseudo base station pre-selection coordinate set;
and S4, repeatedly executing the steps S1-S3 to obtain a plurality of pseudo base station pre-selection coordinate sets, and taking the overlapped parts of the pseudo base station pre-selection coordinate sets as the pseudo base station coordinate sets.
And S5, uploading the obtained pseudo base station coordinate set to an intelligent vehicle networking platform to form a pseudo base station blacklist, issuing the pseudo base station blacklist to a vehicle to be accessed to the network, and shielding the pseudo base station in the blacklist by the vehicle to be accessed to the network.
The vehicle position is obtained by satellite positioning when the base station information is received, wherein the satellite positioning comprises GPS positioning, Galileo satellite positioning and/or Beidou satellite positioning.
The current access base station information includes a location Area code lac (location Area code) and a base station cell number cid (cell identity).
The distance between the vehicle and the base station when the information of the base station is received is obtained by calculating the transmitting power of the base station and the power of the signal when the vehicle receives the information. The base station information received by the vehicle-mounted terminal comprises the transmitting power of the base station, the distance between the vehicle and the base station can be calculated by combining the signal power when the information is actually received, and because of the error relationship, the minimum distance MIN and the maximum distance MAX are reported to indicate that a distance range exists.
Referring to fig. 1, the present invention provides a third embodiment of a pseudo base station detection and positioning method based on an intelligent vehicle in internet of vehicles, comprising the following steps:
s1, the vehicle accessing the network reports the vehicle information to the intelligent Internet of vehicles platform in real time;
the vehicle information comprises current access base station information, vehicle position when receiving the base station information and distance between the vehicle and the base station when receiving the base station information;
the vehicle position is obtained by satellite positioning when the base station information is received, wherein the satellite positioning comprises GPS positioning, Galileo satellite positioning and/or Beidou satellite positioning.
The current access base station information includes a location Area code lac (location Area code) and a base station cell number cid (cell identity).
The distance between the vehicle and the base station when the information of the base station is received is obtained by calculating the transmitting power of the base station and the power of the signal when the vehicle receives the information. The base station information received by the vehicle-mounted terminal comprises the transmitting power of the base station, the distance between the vehicle and the base station can be calculated by combining the signal power when the information is actually received, and because of the error relationship, the minimum distance MIN and the maximum distance MAX are reported to indicate that a distance range exists.
S2, the intelligent Internet of vehicles platform judges whether the current access base station is a pseudo base station according to the full base station database;
the intelligent Internet of vehicles platform inquires an official full base station database through the acquired location area code LAC and the base station cell number CID to judge whether the base station is a pseudo base station;
if the base station information is not inquired in the official full base station database, the base station is judged to be a pseudo base station;
if the base station information is inquired in the official full base station database, calculating the distance M between the base station position and the current position of the vehicle recorded in the official full base station database, and if the distance M is larger than the maximum distance MAX, judging the base station to be a pseudo base station;
s3, if the pseudo base station is used, calculating according to the position of the vehicle when the base station information is received and the distance between the vehicle and the pseudo base station when the base station information is received to obtain a pseudo base station pre-selection coordinate set;
and S4, repeatedly executing the steps S1-S3 to obtain a plurality of pseudo base station pre-selection coordinate sets, and taking the overlapped parts of the pseudo base station pre-selection coordinate sets as the pseudo base station coordinate sets.
And S5, uploading the obtained pseudo base station coordinate set to an intelligent vehicle networking platform to form a pseudo base station blacklist, issuing the pseudo base station blacklist to a vehicle to be accessed to the network, and shielding the pseudo base station in the blacklist by the vehicle to be accessed to the network.
The following method is adopted for calculating and obtaining the pseudo base station preselected coordinate set:
Blat＝(d*1000*Sin(θ*π/180)/Eb+(Ea-Eb)*(90-Alat)/90*Cos(Alat*π/180)+Alon*π/180)*180/π；
Blon＝(d*1000*Cos(θ*π/180.0)/Eb+(Ea-Eb)*(90-Alat)/90+Alat*π/180)*180/π；
(Blat, Blon) is the calculated coordinate point of the base station;
(Alat, Alon) is a coordinate point reported by the vehicle and is obtained according to satellite positioning;
d is the distance between the target point B, i.e. the pseudo base station position, and the known point, i.e. the vehicle position;
theta is an angle between a target point B and a known point A, which is obtained by increasing a preset angle in a clockwise direction with the north and the south as 0 degree;
ea is the equatorial radius, Eb is the polar radius;
and traversing 0-360 degrees by theta, covering the distance range reported by the vehicle by a preset step length by d, and calculating to obtain a pseudo base station preselected coordinate set.
When the intelligent internet vehicle runs through Shanghai city Jia district, the information is reported to the intelligent internet of vehicles platform
The information of the base station accessed by the current vehicle is found to be (LAC: 6188, CID: 25995787), the base station enters an official full base station database for query and comparison, the information of the base station can be checked, the base station is positioned near the Shanghai Jiading area in south-south China, and the longitude and latitude (121.18000000, 31.28293215) and the position (121.18637857,31.28602634) of the vehicle at that time are in a distance range, so that the base station is a real base station.
And (3) finding the base station information accessed before the vehicle is (LAC: 1839, CID: 4672), entering an official full base station database for query and comparison, and marking as a pseudo base station if the base station information is not found.
How to locate the pseudo base station is further described with reference to fig. 2 to 4.
Assuming that the vehicle number 1 receives the signal of the pseudo base station, as shown in fig. 2, the vehicle-mounted terminal on the vehicle can calculate the distance between the vehicle and the base station according to the signal strength, and obtain the range in which the base station may exist. Because of errors, reporting minimum distance MIN and maximum distance MAX values indicates that a range exists. Through the coordinate position (31.28502336,121.18691734) of the vehicle, traversing 0-360 degrees (step length 0.1 degree) and distance 340-411 meters (step length 0.1 meter), and calculating to obtain a coordinate set, wherein the total number of coordinate points is 2556K. The range of possible coordinates of the base station thus forms an annular band of coordinates. When the vehicle moves to (31.28284746,121.18943289), distances between the vehicle and the coordinates in the coordinate set are respectively calculated, the coordinates which meet the distance range (214-242 meters) at this time are reserved and are not discarded, the coordinate set is reduced to 68K coordinate points, the data reported in the next time are processed in the same way, the coordinate set is reduced to 7K coordinate points, and the range of the area is displayed by using a hundred-degree map API.
As shown in fig. 3, taking a moving vehicle as an example, the moving vehicle may be located to the base station at a plurality of times. That is, a plurality of annular coordinate bands (pseudo base station pre-selection coordinate sets) are obtained, and the overlapped part of the annular coordinate bands is the coordinate range of the pseudo base station (pseudo base station coordinate set).
As shown in fig. 4, when more vehicles receive the pseudo base station, the overlapped part of the annular coordinate bands (the pseudo base station pre-selected coordinate set) is smaller and smaller, so that the coordinate range (the pseudo base station coordinate set) of the pseudo base station is positioned faster and more accurately.
The invention provides a first embodiment of a pseudo base station detection and positioning system based on intelligent Internet of vehicles, which comprises the following components:
the vehicle networking terminal module is installed on a vehicle added with the intelligent vehicle networking, is suitable for data communication between the vehicle and the intelligent vehicle networking platform, and calculates the distance between the vehicle and the pseudo base station when the base station information is received;
the intelligent vehicle networking platform judges whether the current access base station is a pseudo base station or not according to the full base station database;
the pseudo base station position pre-calculation module is used for calculating to obtain a pseudo base station pre-selection coordinate set according to the position of the vehicle when receiving the base station information and the distance between the vehicle and the pseudo base station when receiving the base station information;
and the optimization module receives a plurality of pseudo base station preselected coordinate sets and takes the overlapped parts of the pseudo base station preselected coordinate sets as the pseudo base station coordinate sets.
The invention provides a pseudo base station detection positioning system second embodiment based on intelligent vehicle networking, comprising:
the vehicle networking terminal module is installed on a vehicle added with the intelligent vehicle networking, is suitable for data communication between the vehicle and the intelligent vehicle networking platform, and calculates the distance between the vehicle and the pseudo base station when the base station information is received;
the intelligent vehicle networking platform judges whether the current access base station is a pseudo base station or not according to the full base station database;
the pseudo base station position pre-calculation module is used for calculating to obtain a pseudo base station pre-selection coordinate set according to the position of the vehicle when receiving the base station information and the distance between the vehicle and the pseudo base station when receiving the base station information;
the optimization module receives a plurality of pseudo base station preselected coordinate sets and takes the overlapped parts of the pseudo base station preselected coordinate sets as pseudo base station coordinate sets;
and the vehicle networking terminal module further uploads the obtained pseudo base station coordinate set to an intelligent vehicle networking platform to form a pseudo base station blacklist, the pseudo base station blacklist is issued to the vehicle to be accessed to the network, and the vehicle to be accessed to the network shields the pseudo base station in the blacklist.
The invention provides a third embodiment of a pseudo base station detecting and positioning system based on intelligent Internet of vehicles, which comprises the following steps:
the intelligent vehicle networking platform comprises a vehicle networking terminal module, a vehicle networking terminal module and a vehicle networking terminal module, wherein the vehicle networking terminal module is installed on a vehicle joining the intelligent vehicle networking and is suitable for data communication between the vehicle and the intelligent vehicle networking platform; the Internet of vehicles terminal module reports real-time vehicle information of the vehicle in the network to the intelligent Internet of vehicles platform;
the vehicle information includes current access base station information, a vehicle position when receiving the base station information, and a distance between the vehicle and the base station when receiving the base station information.
The vehicle position is obtained by satellite positioning including GPS positioning, Galileo satellite positioning and/or Beidou satellite positioning when the base station information is received.
The current access base station information includes a location Area code lac (location Area code) and a base station cell number cid (cell identity).
The distance between the vehicle and the base station when the information of the base station is received is obtained by calculating the transmitting power of the base station and the power of the signal when the vehicle receives the information.
The distance between the vehicle and the base station when the base station information is received is a distance range represented by the minimum distance MIN and the maximum distance MAX.
The intelligent vehicle networking platform judges whether the current access base station is a pseudo base station or not according to the full base station database; inquiring an official full base station database through the obtained location area code LAC and the base station cell number CID to judge whether the base station is a pseudo base station;
if the base station information is not inquired in the official full base station database, the base station is judged to be a pseudo base station;
if the base station information is inquired in the official full base station database, calculating the distance M between the base station position and the current position of the vehicle recorded in the official full base station database, and if the distance M is larger than the maximum distance MAX, judging the base station to be a pseudo base station;
the pseudo base station position pre-calculation module is used for calculating in the following mode to obtain a pseudo base station pre-selection coordinate set;
Blat＝(d*1000*Sin(θ*π/180)/Eb+(Ea-Eb)*(90-Alat)/90*Cos(Alat*π/180)+Alon*π/180)*180/π；
Blon＝(d*1000*Cos(θ*π/180.0)/Eb+(Ea-Eb)*(90-Alat)/90+Alat*π/180)*180/π；
(Blat, Blon) is the calculated coordinate point of the base station;
(Alat, Alon) is a coordinate point reported by the vehicle and is obtained according to satellite positioning;
d is the distance between the target point B, i.e. the pseudo base station position, and the known point, i.e. the vehicle position;
theta is an angle between a target point B and a known point A, which is obtained by increasing a preset angle in a clockwise direction with the north and the south as 0 degree;
ea is the equatorial radius of 6378137 meters, Eb is the polar radius of 6356725 meters;
and traversing 0-360 degrees by theta, covering the distance range reported by the vehicle by a preset step length by d, and calculating to obtain a pseudo base station preselected coordinate set.
The optimization module receives a plurality of pseudo base station preselected coordinate sets and takes the overlapped parts of the pseudo base station preselected coordinate sets as pseudo base station coordinate sets;
and the vehicle networking terminal module further uploads the obtained pseudo base station coordinate set to an intelligent vehicle networking platform to form a pseudo base station blacklist, the pseudo base station blacklist is issued to the vehicle to be accessed to the network, and the vehicle to be accessed to the network shields the pseudo base station in the blacklist.
The present invention has been described in detail with reference to the specific embodiments and examples, but these are not intended to limit the present invention. Many variations and modifications may be made by one of ordinary skill in the art without departing from the principles of the present invention, which should also be considered as within the scope of the present invention.
Claims (19)
1. A pseudo base station detection and positioning method is based on an intelligent vehicle networked with vehicles and is characterized by comprising the following steps:
s1, the vehicle accessing the network reports the vehicle information to the intelligent Internet of vehicles platform in real time;
the vehicle information comprises current access base station information, vehicle position when receiving the base station information and distance between the vehicle and the base station when receiving the base station information;
s2, the intelligent Internet of vehicles platform judges whether the current access base station is a pseudo base station according to the full base station database;
s3, if the pseudo base station is used, calculating according to the position of the vehicle when the base station information is received and the distance between the vehicle and the pseudo base station when the base station information is received to obtain a pseudo base station pre-selection coordinate set;
and S4, repeatedly executing the steps S1-S3 to obtain a plurality of pseudo base station pre-selection coordinate sets, and taking the overlapped parts of the pseudo base station pre-selection coordinate sets as the pseudo base station coordinate sets.
2. The pseudo base station detection positioning method according to claim 1, characterized in that: and S5, uploading the obtained pseudo base station coordinate set to an intelligent vehicle networking platform to form a pseudo base station blacklist, issuing the pseudo base station blacklist to a vehicle to be accessed to the network, and shielding the pseudo base station in the blacklist by the vehicle to be accessed to the network.
3. The pseudo base station detection positioning method according to claim 1, characterized in that: the vehicle position is obtained by satellite positioning when the base station information is received.
4. The pseudo base station detection positioning method according to claim 1, characterized in that: the current access base station information comprises a location area code LAC and a base station cell number CID.
5. The pseudo base station detection positioning method according to claim 1, characterized in that: the distance between the vehicle and the base station when the information of the base station is received is obtained by calculating the transmitting power of the base station and the power of the signal when the vehicle receives the information.
6. The pseudo base station detection positioning method according to claim 5, characterized in that: the distance between the vehicle and the base station when the base station information is received is a distance range represented by the minimum distance MIN and the maximum distance MAX.
7. The pseudo base station detection positioning method according to claim 6, characterized in that: when step S2 is executed, the official full-scale base station database is queried through the acquired location area code LAC and the base station cell number CID to determine whether the base station is a pseudo base station.
8. The pseudo base station detection positioning method according to claim 7, characterized in that: if the base station information is not inquired in the official full base station database, the base station is judged to be a pseudo base station;
if the base station information is inquired from the official full base station database, calculating the distance M between the base station position and the current position of the vehicle recorded in the official full base station database, and if the distance M is larger than the maximum distance MAX, judging the base station to be a pseudo base station.
9. The pseudo base station detection positioning method according to claim 6, characterized in that: when step S3 is implemented, the following method is adopted to calculate and obtain the pseudo base station pre-selected coordinate set:
Blat＝(d*1000*Sin(θ*π/180)/Eb+(Ea-Eb)*(90-Alat)/90*Cos(Alat*π/180)+Alon*π/180)*180/π；
Blon＝(d*1000*Cos(θ*π/180.0)/Eb+(Ea-Eb)*(90-Alat)/90+Alat*π/180)*180/π；
(Blat, Blon) is the calculated coordinate point of the base station;
(Alat, Alon) is a coordinate point reported by the vehicle;
d is the distance between target point B and the known point;
theta is an angle between a target point B and a known point A, which is obtained by increasing a preset angle in a clockwise direction with the north and the south as 0 degree;
ea is the equatorial radius, Eb is the polar radius;
and traversing 0-360 degrees by theta, covering the distance range reported by the vehicle by a preset step length by d, and calculating to obtain a pseudo base station preselected coordinate set.
10. The utility model provides a pseudo-base station detects positioning system, is based on intelligent car networking, its characterized in that includes:
the vehicle networking terminal module is installed on a vehicle added with the intelligent vehicle networking, is suitable for data communication between the vehicle and the intelligent vehicle networking platform, and calculates the distance between the vehicle and the pseudo base station when the base station information is received;
the intelligent vehicle networking platform judges whether the current access base station is a pseudo base station or not according to the full base station database;
the pseudo base station position pre-calculation module is used for calculating to obtain a pseudo base station pre-selection coordinate set according to the position of the vehicle when receiving the base station information and the distance between the vehicle and the pseudo base station when receiving the base station information;
and the optimization module receives a plurality of pseudo base station preselected coordinate sets and takes the overlapped parts of the pseudo base station preselected coordinate sets as the pseudo base station coordinate sets.
11. The pseudo base station detection and positioning system of claim 10, wherein:
and the vehicle networking terminal module uploads the obtained pseudo base station coordinate set to the intelligent vehicle networking platform to form a pseudo base station blacklist, the pseudo base station blacklist is issued to the vehicle to be accessed to the network, and the vehicle to be accessed to the network shields the pseudo base station in the blacklist.
12. The pseudo base station detection and positioning system of claim 10, wherein:
the Internet of vehicles terminal module reports real-time vehicle information of the vehicle in the network to the intelligent Internet of vehicles platform;
the vehicle information includes current access base station information, a vehicle position when receiving the base station information, and a distance between the vehicle and the base station when receiving the base station information.
13. The pseudo base station detection and location system of claim 12, wherein:
the vehicle position is obtained by satellite positioning when the base station information is received.
14. The pseudo base station detection and location system of claim 12, wherein:
the current access base station information comprises a location area code LAC and a base station cell number CID.
15. The pseudo base station detection and location system of claim 12, wherein: the distance between the vehicle and the base station when the information of the base station is received is obtained by calculating the transmitting power of the base station and the power of the signal when the vehicle receives the information.
16. The pseudo base station detection and location system of claim 15, wherein: the distance between the vehicle and the base station when the base station information is received is a distance range represented by the minimum distance MIN and the maximum distance MAX.
17. The pseudo base station detection and location system of claim 12, wherein: and the pseudo base station judgment module is used for inquiring an official full base station database according to the acquired location area code LAC and the base station cell number CID to judge whether the base station is a pseudo base station.
18. The pseudo base station detection and location system of claim 17, wherein: if the base station information is not inquired in the official full base station database, the base station is judged to be a pseudo base station;
if the base station information is inquired from the official full base station database, calculating the distance M between the base station position and the current position of the vehicle recorded in the official full base station database, and if the distance M is larger than the maximum distance MAX, judging the base station to be a pseudo base station.
19. The pseudo base station detection and location system of claim 12, wherein:
the pseudo base station position pre-calculation module is used for calculating in the following mode to obtain a pseudo base station pre-selection coordinate set;
Blat＝(d*1000*Sin(θ*π/180)/Eb+(Ea-Eb)*(90-Alat)/90*Cos(Alat*π/180)+Alon*π/180)*180/π；
Blon＝(d*1000*Cos(θ*π/180.0)/Eb+(Ea-Eb)*(90-Alat)/90+Alat*π/180)*180/π；
(Blat, Blon) is the calculated coordinate point of the base station;
(Alat, Alon) is a coordinate point reported by the vehicle;
d is the distance between target point B and the known point;
theta is an angle between a target point B and a known point A, which is obtained by increasing a preset angle in a clockwise direction with the north and the south as 0 degree;
ea is the equatorial radius, Eb is the polar radius;
and traversing 0-360 degrees by theta, covering the distance range reported by the vehicle by a preset step length by d, and calculating to obtain a pseudo base station preselected coordinate set.
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