CN111212474A - Visible light indoor positioning method for regenerated fingerprint - Google Patents

Visible light indoor positioning method for regenerated fingerprint Download PDF

Info

Publication number
CN111212474A
CN111212474A CN202010021883.XA CN202010021883A CN111212474A CN 111212474 A CN111212474 A CN 111212474A CN 202010021883 A CN202010021883 A CN 202010021883A CN 111212474 A CN111212474 A CN 111212474A
Authority
CN
China
Prior art keywords
reference point
led lamp
signal power
light signal
equal
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.)
Pending
Application number
CN202010021883.XA
Other languages
Chinese (zh)
Inventor
张旭
王创
马世杰
王修驹
王鹏宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui University of Science and Technology
Original Assignee
Anhui University of Science and Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Anhui University of Science and Technology filed Critical Anhui University of Science and Technology
Priority to CN202010021883.XA priority Critical patent/CN111212474A/en
Publication of CN111212474A publication Critical patent/CN111212474A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/16Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using electromagnetic waves other than radio waves
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B10/00Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
    • H04B10/11Arrangements specific to free-space transmission, i.e. transmission through air or vacuum
    • H04B10/114Indoor or close-range type systems
    • H04B10/116Visible light communication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/318Received signal strength
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Collating Specific Patterns (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention discloses a visible light indoor positioning method for regenerating fingerprints, which is characterized by comprising the following steps of: 1, uniformly and equally dividing a region to be measured, and establishing a rectangular coordinate system; 2, continuously measuring the intensity of the light signal of the LED at a reference point; 3, removing obvious error data, and taking an average value as a measured value; 4 extracting a plurality of reference point data values; 5, predicting the signal strength of an unknown reference point; 6, constructing a complete fingerprint library. The invention extracts a few light signal intensity values by collecting the light signal intensity values, constructs a virtual fingerprint library by combining a light signal propagation model, is close to a real fingerprint library in the aspect of precision, and greatly shortens the time.

Description

Visible light indoor positioning method for regenerated fingerprint
Technical Field
The invention relates to the technical field of visible light indoor positioning, in particular to an algorithm for reconstructing a fingerprint library.
Background
With the continuous development of visible light communication technology in recent years, more and more researchers use visible light for indoor positioning because visible light communication has incomparable advantages compared with wireless communication.
The visible light indoor positioning mainly adopts a geometric measurement method, an approximate sensing method, a fingerprint database construction method and the like. The system of the fingerprint positioning method is relatively simple and easy to construct, a fingerprint database is constructed mainly in an off-line stage, and matching is carried out in an on-line stage so as to realize indoor positioning, and the cost is low; the fingerprint positioning method has low requirement on the complexity of the system, and a channel attenuation model does not need to be solved; meanwhile, the application range of the fingerprint positioning method is wide. However, the fingerprint positioning method has many problems to be solved, the construction workload of the indoor fingerprint database is large, a large amount of manpower and material resources are needed, the transportability is poor, and once the indoor environment is changed, the reconstruction is needed, so that time and labor are wasted; in the online matching stage of the fingerprint database, the whole fingerprint database is often traversed, a large amount of time is consumed, and the large amount of calculation and real-time performance cannot be guaranteed; the fingerprint database has insufficient positioning accuracy and larger error. Researchers at home and abroad aiming at the problems put forward a plurality of improvement measures.
Disclosure of Invention
The invention mainly solves the technical problems that: a method for quickly constructing a fingerprint database is provided to shorten the construction time of the fingerprint database.
The purpose of the invention can be realized by the following technical scheme:
according to the invention, an experimental platform is set up to collect light signal intensity values, a few light signal intensity values are extracted, a virtual fingerprint library is constructed by combining a light signal propagation model, the virtual fingerprint library is close to a real fingerprint library in the aspect of precision, and the time is greatly shortened. The invention provides a visible light indoor positioning algorithm for regenerating fingerprints, which comprises the following specific steps:
1) a square is adopted as a visible light positioning area in an indoor area range, and a rectangular coordinate system is established by taking the lower left corner of the square as an origin o; equally dividing the square into n grids with the same size at the same interval, taking the center of each grid as a reference point to form n reference points, and using the set RF as { RF ═ RF1,RF2,···,RFi,···,RFnDenotes it, whichMedium RFiRepresenting the reference point of the ith grid, wherein i is more than or equal to 1 and less than or equal to n; the number of the LED lamps is m, and the set L is { L ═ L1,L2,···,Lj,···LmDenotes wherein LjJ is more than or equal to 1 and less than or equal to m, and represents the jth LED lamp.
2) Continuously collecting the light signal intensity v times of the jth LED lamp at the ith reference point, calculating the average value of the light signal intensity v times as the light signal power of the jth LED lamp measured by the ith reference point, and using PijTo express that 1 ≦ i ≦ n, 1 ≦ j ≦ m, then the set { P ] is used for all LED light signal powers measured at the ith reference pointi1,Pi2,···,Pij,···,PimAnd (c) represents.
3) Set P of data measured at the ith reference pointi={xi,yi,Pi1,Pi2,···,Pij,···,PimDenotes where xiAnd yiIs the coordinate of the ith reference point, and the measured data is represented by a matrix P ═ P1,P2,···,Pi,···,Pn]TTo constitute a fingerprint library.
4) And selecting r reference points from the n reference points to reconstruct the fingerprint library.
5) Assuming that the LED lamp is lambertian, the luminous intensity at the reference point is I (phi) ═ I (0) cosm(phi), wherein phi is the included angle of the emitting light and the vertical axis of the emitting plane; i (0) is the central luminous intensity; m is a Lambertian emission series, defined as m ═ ln (2)/ln (cos φ)1/2) In the formula of1/2The half angle is the half angle when the luminous intensity of the LED is half; then at the reference point (x)i,yi) Horizontal luminous intensity of
Figure BDA0002361094700000021
Received power is
Figure BDA0002361094700000022
In the formula
Figure BDA0002361094700000023
Is a clip of angle of incidence and axis perpendicular to the receiving surfaceAn angle; a is the area of reception of the reference point,
Figure BDA0002361094700000024
is the field angle, d is the distance of the LED from the reference point; when the LED lamp and the reference point are parallel, phi and
Figure BDA0002361094700000025
the same is true.
6) By using
Figure BDA0002361094700000026
To indicate that the optical signal power of the jth LED lamp is measured by the selected r reference points, and the optical signal power of the reference point to be estimated for the jth LED lamp is used
Figure BDA0002361094700000027
Wherein k is more than or equal to 1 and less than or equal to (n-r).
7) The received signal power in (5) is known
Figure BDA0002361094700000028
Optical signal power of reference point to be estimated
Figure BDA0002361094700000029
Assuming that m is 1 and the LED lamp is parallel to the reference point, phi and
Figure BDA00023610947000000210
same, can obtain
Figure BDA00023610947000000211
The light signal power of the reference point to be estimated can be obtained only by knowing the position from the reference point to the LED lamp, the light signal power measured by the reference point and the position from the reference point to be estimated to the LED lamp.
8) Using a formula
Figure BDA00023610947000000212
The estimated optical signal power is different from the true value, so the formula is used instead
Figure BDA00023610947000000213
Wherein a is more than or equal to 4, the value of a is related to the actual condition, and the optical signal power of the known reference point is obtained
Figure BDA00023610947000000214
Set substitution formula
Figure BDA00023610947000000215
The specific value of a is obtained.
The invention has the beneficial effects that:
1. according to the visible light indoor positioning method for the regenerated fingerprint, provided by the invention, the intensity of the optical signal is measured for multiple times, the data with larger errors is removed, and the average value of the data is taken as the measurement result, so that the positioning error is reduced, and the positioning precision is higher.
2. By extracting a few optical signal intensities, deriving a power relation between an unknown reference point and a known reference point by using an optical power propagation model, and calculating the optical signal power of the unknown reference point by using the power of the known reference point, a virtual fingerprint library can be constructed, the fingerprint library can be constructed rapidly, and manpower and material resources are reduced.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a flow chart of the inventive method;
FIG. 2 is a drawing of a division of a region under test;
FIG. 3 is a geometric model of LED light propagation.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this embodiment, a method for visible indoor positioning of a reproduced fingerprint; as shown in the first figure, the method comprises the following steps: 1, uniformly and equally dividing a region to be measured, and establishing a rectangular coordinate system; 2, continuously measuring the intensity of the light signal of the LED at a reference point; 3, removing obvious error data, and taking an average value as a measured value; 4 extracting a plurality of reference point data values; 5, predicting the signal strength of an unknown reference point; 6, constructing a complete fingerprint library, and specifically comprising the following steps:
(1) a square is adopted as a visible light positioning area in an indoor area range, and a rectangular coordinate system is established by taking the lower left corner of the square as an origin o; equally dividing the square into n grids with the same size at the same interval, taking the center of each grid as a reference point to form n reference points, and using the set RF as { RF ═ RF1,RF2,···,RFi,···,RFnDenotes wherein RFiRepresenting the reference point of the ith grid, i is more than or equal to 1 and less than or equal to n, as shown in FIG. 2; the number of the LED lamps is m, and the set L is { L ═ L1,L2,···,Lj,···LmDenotes wherein LjJ is more than or equal to 1 and less than or equal to m, and represents the jth LED lamp.
(2) Continuously collecting the light signal intensity v times of the jth LED lamp at the ith reference point, calculating the average value of the light signal intensity v times as the light signal power of the jth LED lamp measured at the ith reference point, and using PijTo express that 1 ≦ i ≦ n, 1 ≦ j ≦ m, then the set { P ] is used for all LED light signal powers measured at the ith reference pointi1,Pi2,···,Pij,···,PimAnd (c) represents.
(3) Set P of data measured at the ith reference pointi={xi,yi,Pi1,Pi2,···,Pij,···,PimDenotes where xiAnd yiIs the coordinate of the ith reference point, and the measured data is represented by a matrix P ═ P1,P2,···,Pi,···,Pn]TTo constitute a fingerprint library.
(4) And selecting r reference points from the n reference points to reconstruct the fingerprint library.
(5) Assuming that the LED lamp is lambertian, the luminous intensity at the reference point is I (phi) ═ I (0) cosm(phi), formulaThe middle phi is the included angle between the emission light and the vertical axis of the emission plane; i (0) is the central luminous intensity; m is a Lambertian emission series, defined as m ═ ln (2)/ln (cos φ)1/2) In the formula of1/2The half angle is the half angle when the luminous intensity of the LED is half; then at the reference point (x)i,yi) Horizontal luminous intensity of
Figure BDA0002361094700000041
Received power is
Figure BDA0002361094700000042
In the formula
Figure BDA0002361094700000043
Is the angle between the angle of incidence and the axis perpendicular to the receiving surface; a is the area of reception of the reference point,
Figure BDA0002361094700000044
is the field angle, d is the distance of the LED from the reference point; when the LED lamp and the reference point are parallel, phi and
Figure BDA0002361094700000045
as shown in fig. 3.
(6) By using
Figure BDA0002361094700000046
To indicate that the optical signal power of the jth LED lamp is measured by the selected r reference points, and the optical signal power of the reference point to be estimated for the jth LED lamp is used
Figure BDA0002361094700000047
Wherein k is more than or equal to 1 and less than or equal to (n-r).
(7) The received signal power in (5) is known
Figure BDA0002361094700000048
Optical signal power of reference point to be estimated
Figure BDA0002361094700000049
Assuming that m is 1, and the LED lamp is parallel to the reference point,then phi and
Figure BDA00023610947000000410
same, can obtain
Figure BDA00023610947000000411
The light signal power of the reference point to be estimated can be obtained only by knowing the position from the reference point to the LED lamp, the light signal power measured by the reference point and the position from the reference point to be estimated to the LED lamp.
(8) Using a formula
Figure BDA00023610947000000412
The estimated optical signal power is different from the true value, so the formula is used instead
Figure BDA00023610947000000413
Wherein a is more than or equal to 4, the value of a is related to the actual condition, and the optical signal power of the known reference point is obtained
Figure BDA00023610947000000414
Set substitution formula
Figure BDA00023610947000000415
The specific value of a is obtained.

Claims (8)

1. A square is adopted as a visible light positioning area in an indoor area range, and a rectangular coordinate system is established by taking the lower left corner of the square as an origin o; equally dividing the square into n grids with the same size at the same interval, taking the center of each grid as a reference point to form n reference points, and using the set RF as { RF ═ RF1,RF2,···,RFi,···,RFnDenotes wherein RFiRepresenting the reference point of the ith grid, wherein i is more than or equal to 1 and less than or equal to n; the number of the LED lamps is m, and the set L is { L ═ L1,L2,···,Lj,···LmDenotes wherein LjJ is more than or equal to 1 and less than or equal to m, and represents the jth LED lamp.
2.Continuously collecting the light signal intensity v times of the jth LED lamp at the ith reference point, calculating the average value of the light signal intensity v times as the light signal power of the jth LED lamp measured by the ith reference point, and using PijTo express that 1 ≦ i ≦ n, 1 ≦ j ≦ m, then the set { P ] is used for all LED light signal powers measured at the ith reference pointi1,Pi2,···,Pij,···,PimAnd (c) represents.
3. Set P of data measured at the ith reference pointi={xi,yi,Pi1,Pi2,···,Pij,···,PimDenotes where xiAnd yiIs the coordinate of the ith reference point, and the measured data is represented by a matrix P ═ P1,P2,···,Pi,···,Pn]TTo constitute a fingerprint library.
4. And selecting r reference points from the n reference points to reconstruct the fingerprint library.
5. Assuming that the LED lamp is lambertian, the luminous intensity at the reference point is I (phi) ═ I (0) cosm(phi), wherein phi is the included angle of the emitting light and the vertical axis of the emitting plane; i (0) is the central luminous intensity; m is a Lambertian emission series, and is defined as being in (2)/ln (cos phi)1/2) In the formula of1/2The half angle is the half angle when the luminous intensity of the LED is half; then at the reference point (x)i,yi) Horizontal luminous intensity of
Figure FDA0002361094690000011
Received power is
Figure FDA0002361094690000012
In the formula
Figure FDA0002361094690000013
Is the angle between the angle of incidence and the axis perpendicular to the receiving surface; a is the area of reception of the reference point,
Figure FDA0002361094690000019
is the field angle, d is the distance of the LED from the reference point; when the LED lamp and the reference point are parallel, phi and
Figure FDA00023610946900000110
the same is true.
6. By using
Figure FDA0002361094690000014
To indicate that the optical signal power of the jth LED lamp is measured by the selected r reference points, and the optical signal power of the reference point to be estimated for the jth LED lamp is used
Figure FDA0002361094690000015
Wherein k is more than or equal to 1 and less than or equal to (n-r).
7. From the received signal power in 5
Figure FDA0002361094690000016
Optical signal power of reference point to be estimated
Figure FDA0002361094690000017
Assuming that m is 1 and the LED lamp is parallel to the reference point, phi and
Figure FDA00023610946900000111
same, can obtain
Figure FDA0002361094690000018
The light signal power of the reference point to be estimated can be obtained only by knowing the position from the reference point to the LED lamp, the light signal power measured by the reference point and the position from the reference point to be estimated to the LED lamp.
8. Using a formula
Figure FDA0002361094690000021
The estimated optical signal power is different from the true value, so the formula is used instead
Figure FDA0002361094690000022
Wherein a is more than or equal to 4, the value of a is related to the actual condition, and the optical signal power of the known reference point is obtained
Figure FDA0002361094690000024
Set substitution formula
Figure FDA0002361094690000023
The specific value of a is obtained.
CN202010021883.XA 2020-01-09 2020-01-09 Visible light indoor positioning method for regenerated fingerprint Pending CN111212474A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010021883.XA CN111212474A (en) 2020-01-09 2020-01-09 Visible light indoor positioning method for regenerated fingerprint

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010021883.XA CN111212474A (en) 2020-01-09 2020-01-09 Visible light indoor positioning method for regenerated fingerprint

Publications (1)

Publication Number Publication Date
CN111212474A true CN111212474A (en) 2020-05-29

Family

ID=70788978

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010021883.XA Pending CN111212474A (en) 2020-01-09 2020-01-09 Visible light indoor positioning method for regenerated fingerprint

Country Status (1)

Country Link
CN (1) CN111212474A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106610490A (en) * 2016-12-30 2017-05-03 北京大学 Optical positioning method, system and device based on LED and image sensor
CN107037404A (en) * 2017-04-14 2017-08-11 北京科技大学 A kind of visible ray indoor orientation method
CN110007269A (en) * 2019-04-04 2019-07-12 黄冈师范学院 A kind of two stages wireless signal fingerprint positioning method based on Gaussian process

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106610490A (en) * 2016-12-30 2017-05-03 北京大学 Optical positioning method, system and device based on LED and image sensor
CN107037404A (en) * 2017-04-14 2017-08-11 北京科技大学 A kind of visible ray indoor orientation method
CN110007269A (en) * 2019-04-04 2019-07-12 黄冈师范学院 A kind of two stages wireless signal fingerprint positioning method based on Gaussian process

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陈道钱: "基于RSSI测距及位置指纹的室内可见光定位方法研究", 《浙江农林大大学》 *

Similar Documents

Publication Publication Date Title
CN103139907B (en) A kind of indoor wireless positioning method utilizing fingerprint technique
CN106845399B (en) Method for extracting single-tree information from LiDAR point cloud by using hierarchical clustering mode
CN102638889B (en) Indoor wireless terminal positioning method based on Bayes compression sensing
CN112418245B (en) Electromagnetic emission point positioning method based on urban environment physical model
CN107392875A (en) A kind of cloud data denoising method based on the division of k neighbours domain
CN103870845A (en) Novel K value optimization method in point cloud clustering denoising process
CN111693928A (en) Electric energy meter metering error calculation method and device and computer equipment
CN105761310B (en) A kind of sunykatuib analysis and image display method of sky visible range numerical map
CN116363601B (en) Data acquisition and analysis method and system for pollution monitoring equipment
CN107607692B (en) Soil moisture monitoring and optimizing point distribution method based on maximum water storage capacity of soil
CN107958486A (en) A kind of generation method and device of conducting wire vector model
CN110245873A (en) A kind of green building riding quality evaluation method, device, equipment and storage medium
CN110443810A (en) Point cloud plane dividing method based on quick adjacent voxel inquiry
CN110705727A (en) Photovoltaic power station shadow shielding diagnosis method and system based on random forest algorithm
CN113269825B (en) Forest breast diameter value extraction method based on foundation laser radar technology
CN113111487A (en) Smart city planning simulation dynamic simulation system and operation method thereof
CN115100376A (en) Electromagnetic spectrum map implementation method based on improved inverse distance interpolation method
CN116227689A (en) Photovoltaic panel pollution degree state evaluation and cleaning decision system
CN109191519A (en) A kind of trees stem volume appraising model construction method, volume estimation method and system
CN115757369A (en) Automatic inspection method and system for laser point cloud data
CN111212474A (en) Visible light indoor positioning method for regenerated fingerprint
CN117372201A (en) Rapid construction method of intelligent water conservancy digital twin model applied to reservoir
CN107869971B (en) Method for calculating tree crown surface area based on three-dimensional laser scanning data
CN115983478A (en) Distributed photovoltaic power generation power prediction analysis method, system, terminal and medium
CN105787493B (en) A method of based on BIM intelligent extraction setting-out characteristic point

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
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20200529

WD01 Invention patent application deemed withdrawn after publication