CN116996606B - Indoor Wi-Fi positioning performance evaluation method of smart phone - Google Patents

Indoor Wi-Fi positioning performance evaluation method of smart phone Download PDF

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Publication number
CN116996606B
CN116996606B CN202311250548.7A CN202311250548A CN116996606B CN 116996606 B CN116996606 B CN 116996606B CN 202311250548 A CN202311250548 A CN 202311250548A CN 116996606 B CN116996606 B CN 116996606B
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coordinate system
test
smart phone
indoor
wgs
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CN116996606A (en
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罗建星
吴李慧
张冬波
许晓洁
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Dongguan Btl Inc
Guangdong Xinbao Testing Co ltd
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Guangdong Xinbao Testing Co ltd
Dongguan Btl Inc
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/24Arrangements for testing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/33Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)

Abstract

The invention belongs to the technical field of intelligent mobile phone performance test, and particularly relates to an indoor Wi-Fi positioning performance evaluation method of an intelligent mobile phone. According to the indoor Wi-Fi positioning performance evaluation method of the smart phone, an indoor local coordinate system is established on an outer wall of a general building, a conversion relation with a WGS-84 coordinate system is established, and Wi-Fi positioning performance test is completed by calling a Wi-Fi positioning function of the smart phone, so that a test result is more in accordance with actual use performance; in addition, the testing method does not need a special testing site, simplifies the indoor Wi-Fi positioning testing environment building process, and reduces the testing cost.

Description

Indoor Wi-Fi positioning performance evaluation method of smart phone
Technical Field
The invention belongs to the technical field of intelligent mobile phone performance test, and particularly relates to an indoor Wi-Fi positioning performance evaluation method of an intelligent mobile phone.
Background
In modern times, a great deal of time has passed in indoor environments, and indoor positioning service requirements have become increasingly widespread and important. In the outdoor, global navigation satellite system (GlobalNavigation Satellite System, GNSS) typified by GPS is a main outdoor positioning means. In the indoor environment, GNSS signals are blocked and refused, so that the Wi-Fi positioning technology is mainly used for positioning, and due to the complexity of the indoor environment and uncertainty of the Wi-Fi environment, the performance of positioning equipment is different, and the Wi-Fi positioning accuracy is influenced.
Therefore, the positioning performance of the Wi-Fi positioning equipment needs to be evaluated, so that the accuracy of Wi-Fi positioning is ensured, in the prior art, a special testing site is required to be arranged for testing the Wi-Fi positioning performance, and a Wi-Fi transmitting device for positioning is arranged on the site, so that the testing cost is high, and the special site and the Wi-Fi transmitting device easily cause deviation between a testing result and the positioning performance in practical application.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects that the testing method of Wi-Fi positioning performance in the prior art requires higher cost hardware and places and the testing result has larger deviation from the actual use performance, thereby providing the indoor Wi-Fi positioning performance evaluation method of the smart phone.
An indoor Wi-Fi positioning performance evaluation method of a smart phone comprises the following steps:
step S1: selecting two reference points on a vertical outer wall surface of a building, establishing an x-axis on a straight line where the two reference points are located, and establishing a y-axis through one of the reference points, wherein the x-axis and the y-axis are mutually vertical, and planes where the x-axis and the y-axis are located are horizontal; establishing an indoor local coordinate system according to the x axis and the y axis, arranging a plurality of test points indoors, and acquiring reference coordinates of the local coordinate system; setting a test route according to the test points, wherein the test route passes through all the test points;
step S2: acquiring WGS-84 coordinates of a WGS-84 coordinate system of the two reference points;
step S3: establishing a corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system;
step S4: moving the smart phone along a test route, and acquiring WGS-84 coordinates of each test point through an indoor Wi-Fi positioning function of the smart phone;
step S5: converting the WGS-84 coordinate obtained in the step S4 into a local coordinate system test coordinate according to the corresponding conversion relation established in the step S3;
step S6: and correspondingly comparing the local coordinate system test coordinates converted in the step S5 with the local coordinate system reference coordinates of the test points, thereby generating horizontal errors of Wi-Fi positioning of the smart phone on each test point and calculating the round probability errors of the smart phone.
Further, in the step S2, WGS-84 coordinates of two of the reference points are acquired by a GPS locator.
Further, the step S3: establishing a corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system, wherein the corresponding conversion relation comprises the following steps of:
s3.1: calculating a conversion formula from a WGS84 coordinate system to a UTM coordinate system;
s3.2: calculating a conversion formula from a UTM coordinate system to a local coordinate system reference coordinate;
s3.3: and obtaining the corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system according to a conversion formula from the WGS84 coordinate system to the UTM coordinate system and a conversion formula from the UTM coordinate system to the reference coordinate of the local coordinate system.
Further, in the step S6, a horizontal error model of the local coordinate system test coordinate of each test point and the corresponding local coordinate system reference coordinate is calculated, and an average value of the horizontal error models of the plurality of test points, an RMS variance value of the X vector component, an RMS variance value of the y vector component, and an RMS variance value of the horizontal error are calculated, and a circle probability error value of the local coordinate system test coordinate of each test point and the corresponding local coordinate system reference coordinate is calculated.
Further, one test point is arranged in each 50-100 square meters in the test area, and the test points are randomly distributed in the test area.
Further, in the step S4, the tester walks along the test route by holding the smart phone with his hand, and the movement speed is not greater than 1.4m/S.
Further, in the step S4, when the smart phone is moved along the test route, the smart phone stays at the test point for 1-5S, and the WGS-84 coordinates of the test point are obtained.
Further, in the step S4, the mobile smart phone is continuously moved along the test route, and WGS-84 coordinates are obtained when passing through the test point.
Further, in step S4, the tester holds the smart phone with his right hand, and obtains WGS-84 coordinates in the east, south, west and north directions of the test point, respectively.
Further, in the step S4, the WGS-84 coordinates are obtained through the mapping software of the smart phone.
The beneficial effects are that: according to the indoor Wi-Fi positioning performance evaluation method of the smart phone, an indoor local coordinate system is established on an outer wall of a general building, a conversion relation with a WGS-84 coordinate system is established, and Wi-Fi positioning performance test is completed by calling a Wi-Fi positioning function of the smart phone, so that a test result is more in accordance with actual use performance; in addition, the testing method does not need a special testing site, simplifies the indoor Wi-Fi positioning testing environment building process, and reduces the testing cost.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
In order to make the above objects, features and advantages of the present application more comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is, however, susceptible of embodiment in many other forms than those described herein and similar modifications can be made by those skilled in the art without departing from the spirit of the application, and therefore the application is not to be limited to the specific embodiments disclosed below.
In the description of the present application, it should be understood that the terms "center," "longitudinal," "transverse," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," etc. indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, are merely for convenience in describing the present application and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be configured and operated in a particular orientation, and therefore should not be construed as limiting the present application.
In this application, unless expressly stated or limited otherwise, a first feature "up" or "down" a second feature may be the first and second features in direct contact, or the first and second features in indirect contact via an intervening medium. Moreover, a first feature being "above," "over" and "on" a second feature may be a first feature being directly above or obliquely above the second feature, or simply indicating that the first feature is level higher than the second feature. The first feature being "under", "below" and "beneath" the second feature may be the first feature being directly under or obliquely below the second feature, or simply indicating that the first feature is less level than the second feature.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "upper," "lower," "left," "right," and the like are used herein for illustrative purposes only and are not meant to be the only embodiment.
An indoor Wi-Fi positioning performance evaluation method of a smart phone comprises the following steps:
step S1: selecting two reference points on a vertical outer wall surface of a building, establishing an x-axis on a straight line where the two reference points are located, and establishing a y-axis through one of the reference points, wherein the x-axis and the y-axis are mutually vertical, and planes where the x-axis and the y-axis are located are horizontal; establishing an indoor local coordinate system according to the x axis and the y axis, arranging a plurality of test points indoors, and acquiring reference coordinates of the local coordinate system; setting a test route according to the test points, wherein the test route passes through all the test points;
step S2: acquiring WGS-84 coordinates of a WGS-84 coordinate system of the two reference points;
step S3: establishing a corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system;
step S4: moving the smart phone along a test route, and acquiring WGS-84 coordinates of each test point through an indoor Wi-Fi positioning function of the smart phone;
step S5: converting the WGS-84 coordinate obtained in the step S4 into a local coordinate system test coordinate according to the corresponding conversion relation established in the step S3;
step S6: and correspondingly comparing the local coordinate system test coordinates converted in the step S5 with the local coordinate system reference coordinates of the test points, thereby generating horizontal errors of Wi-Fi positioning of the smart phone on each test point and calculating the round probability errors of the smart phone.
Referring to fig. 1, in this embodiment, by designing a method for evaluating indoor Wi-Fi positioning performance of a smart phone, an indoor local coordinate system is established on an external wall of a general building, a conversion relationship with a WGS-84 coordinate system is established, and Wi-Fi positioning performance test is completed by calling a Wi-Fi positioning function of the smart phone, so that a test result better accords with actual use performance; in addition, the test method simplifies the indoor Wi-Fi positioning test environment construction process, does not need a special test site, and reduces the test cost.
Specifically, in the step S2, the WGS-84 coordinates of the two reference points are acquired by a GPS locator. Thereby ensuring accurate positioning of the two reference points.
The step S3: establishing a corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system, wherein the corresponding conversion relation comprises the following steps of:
s3.1: calculating a conversion formula from a WGS84 coordinate system to a UTM coordinate system;
s3.2: calculating a conversion formula from a UTM coordinate system to a local coordinate system reference coordinate;
defining UTM coordinate as (n, e), moving origin of UTM coordinate system to second reference point, then UTM coordinate of first reference point isAnd->,/>And calculating the rotation angle from the X axis to the e axis after the movement:
the conversion relationship between the indoor local coordinate system (x, y) and the UTM coordinate system (n, e) is:
s3.3: and obtaining the corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system according to a conversion formula from the WGS84 coordinate system to the UTM coordinate system and a conversion formula from the UTM coordinate system to the reference coordinate of the local coordinate system.
In this embodiment, one test point is set every 50-100 square meters in the test area, and the test points are randomly distributed in the test area.
In the step S4, a tester holds the smart phone to walk along the test route, and the moving speed is not more than 1.4m/S. And when the smart phone moves along the test route, staying for 1-5 s at the test point, and acquiring the WGS-84 coordinates of the test point. Continuously moving the mobile smart phone along a test route, and acquiring WGS-84 coordinates when passing through the test point. And the right hand of the tester holds the smart phone to stand, and obtains WGS-84 coordinates towards the east, south, west and north directions of the test point respectively. And the testers obtain WGS-84 coordinates through the map software of the smart phone.
In the step S6, a horizontal error model of the local coordinate system test coordinate of each test point and the corresponding local coordinate system reference coordinate is calculated, and the mean value of the horizontal error models of the test points, the RMS variance value of the X vector component, the RMS variance value of the y vector component and the RMS variance value of the horizontal error are calculated, and the circular probability error value of the local coordinate system test coordinate of each test point and the corresponding local coordinate system reference coordinate is calculated.
Wherein the method comprises the steps ofIs a horizontal error vector, +.>Is a horizontal error model.
And when the CE67 is less than 30m, the indoor Wi-Fi positioning performance of the smart phone is determined to meet the requirement of regulations.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the claims. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (9)

1. An indoor Wi-Fi positioning performance evaluation method of a smart phone is characterized by comprising the following steps:
step S1: selecting two reference points on a vertical outer wall surface of a building, establishing an x-axis on a straight line where the two reference points are located, and establishing a y-axis through one of the reference points, wherein the x-axis and the y-axis are mutually vertical, and planes where the x-axis and the y-axis are located are horizontal; establishing an indoor local coordinate system according to the x axis and the y axis, arranging a plurality of test points indoors, and acquiring reference coordinates of the local coordinate system; setting a test route according to the test points, wherein the test route passes through all the test points;
step S2: acquiring WGS-84 coordinates of a WGS-84 coordinate system of the two reference points;
step S3: establishing a corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system, wherein the corresponding conversion relation comprises the following steps of:
s3.1: calculating a conversion formula from a WGS84 coordinate system to a UTM coordinate system;
s3.2: calculating a conversion formula from a UTM coordinate system to a local coordinate system reference coordinate;
s3.3: obtaining the corresponding conversion relation between the indoor local coordinate system and the WGS-84 coordinate system according to a conversion formula from the WGS84 coordinate system to the UTM coordinate system and a conversion formula from the UTM coordinate system to the reference coordinate of the local coordinate system;
step S4: moving the smart phone along a test route, and acquiring WGS-84 coordinates of each test point through an indoor Wi-Fi positioning function of the smart phone;
step S5: converting the WGS-84 coordinate obtained in the step S4 into a local coordinate system test coordinate according to the corresponding conversion relation established in the step S3;
step S6: and correspondingly comparing the local coordinate system test coordinates converted in the step S5 with the local coordinate system reference coordinates of the test points, thereby generating horizontal errors of Wi-Fi positioning of the smart phone on each test point and calculating the round probability errors of the smart phone.
2. The method according to claim 1, wherein in the step S2, WGS-84 coordinates of two reference points are obtained by a GPS locator.
3. The indoor Wi-Fi positioning performance evaluation method of the smart phone according to claim 1, wherein in the step S6, a horizontal error model of a local coordinate system test coordinate of each test point and a corresponding local coordinate system reference coordinate is calculated, an average value of the horizontal error models of the plurality of test points, an RMS variance value of an X vector component, an RMS variance value of a y vector component, and an RMS variance value of a horizontal error are calculated, and a circular probability error value of the local coordinate system test coordinate of each test point and the corresponding local coordinate system reference coordinate is calculated.
4. The indoor Wi-Fi positioning performance evaluation method of the smart phone according to claim 1, wherein one test point is arranged every 50-100 square meters in a test area, and the test points are randomly distributed in the test area.
5. The method according to claim 1, wherein in the step S4, a tester walks along the test route by holding the smart phone, and the movement speed is not greater than 1.4m/S.
6. The method for evaluating indoor Wi-Fi positioning performance of a smart phone according to claim 1, wherein in step S4, when the smart phone is moved along a test route, the smart phone stays at the test point for 1-5S, and WGS-84 coordinates of the test point are obtained.
7. The method for evaluating indoor Wi-Fi positioning performance of a smart phone according to claim 1, wherein in step S4, the mobile smart phone is continuously moved along a test route, and WGS-84 coordinates are obtained while passing the test point.
8. The method for evaluating indoor Wi-Fi positioning performance of a smart phone according to claim 5, wherein in step S4, a tester holds the smart phone in his right hand to stand, and obtains WGS-84 coordinates in four directions, i.e., east, south, west and north, of the test point.
9. The method for evaluating indoor Wi-Fi positioning performance of a smart phone according to claim 1, wherein in step S4, WGS-84 coordinates are obtained by map software of the smart phone.
CN202311250548.7A 2023-09-26 2023-09-26 Indoor Wi-Fi positioning performance evaluation method of smart phone Active CN116996606B (en)

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