CN106211318A - A kind of path loss localization method based on WiFi and system - Google Patents
A kind of path loss localization method based on WiFi and system Download PDFInfo
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- CN106211318A CN106211318A CN201610528021.XA CN201610528021A CN106211318A CN 106211318 A CN106211318 A CN 106211318A CN 201610528021 A CN201610528021 A CN 201610528021A CN 106211318 A CN106211318 A CN 106211318A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
- G01S11/06—Systems for determining distance or velocity not using reflection or reradiation using radio waves using intensity measurements
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention discloses a kind of path loss localization method based on WiFi and system, the method includes: alignment system initializes: in system acquisition induction field, the RSSI numerical value of different location and corresponding mobile terminal are to the distance of front-end A P, calculate the positional parameter λ of correspondence.Alignment system data acquisition: the mobile terminal RSSI that data acquisition module receiving front-end AP collects, and it is transferred to positioning analysis module.Alignment system positioning analysis: alignment system calculates the geographical location information of current mobile terminal according to formula.Alignment system data persistence: the geographical location information of the mobile terminal that analysis is obtained by alignment system persists data base.Alignment system is rectified a deviation: alignment system deletes current positional parameter λ, the mobile terminal sample data in Resurvey induction field, and calculates new positional parameter λ.
Description
Technical field
The present invention relates to communication technical field, specifically, relate to a kind of path loss localization method based on WiFi and
System.
Background technology
Affected bigger based on GPS location technology by weather and current architectural environment, positioned based on wireless cellular network
Technology is in the environment of having barrier obstruction, and signal fadeout is bigger, it is difficult to realize high-precision fixed bit function.Existing high accuracy
Positioning function great majority are to utilize indoor positioning technologies based on radio sensing network to realize, and alignment system common on market needs
Add extra special equipment, generally exist and safeguard problem complicated, that hardware cost is high, orientation range is less.
Location technology based on WiFi can work under occasion indoor, outdoor simultaneously, provides the scene of covering all around
The condition of environment；Its use cost ratio is relatively low simultaneously, it is not necessary to additionally add electronic equipment, only has only to propping up of WiFi network
Hold；The objective factor such as non line of sight and weather is the least to the interference of WiFi signal.
Common indoor orientation method has following 2 kinds: (one) localization method based on distance.Mainly include arriving based on signal
Reach time TOA method, based on signal arrival time difference value TDOA method, based on direction of arrival degree AOA method, based on receiving letter
Number intensity RSSI method.(2) with apart from unrelated localization method.Mainly include that method of convex programming, DV-Hop method, barycenter are calculated
Method, MDS-MAP method, APIT method and 6 kinds of localization methods of location fingerprint method.
Along with the progress of science and technology, people are increasing for the functional requirement of hi-Fix, but the most also
There is no a maturation, stable, the high-precision locating method of low cost and system..
Summary of the invention
In order to solve the problems referred to above, the invention provides a kind of path loss localization method based on WiFi and system.
A kind of path loss alignment system based on WiFi of the present invention includes 2 subsystems: front-end A P subsystem,
Backstage positioning subsystem, wherein front-end A P subsystem is mainly used in collecting the RSSI data in induction field, and is transferred to rear estrade
System；Rear station subsystem includes 5 modules: system initialization module, data acquisition module, positioning analysis module, lasting data
Changing module, system correction module, location information persistence to the location of mobile terminal and is preserved function by main realization.
A kind of path loss localization method based on WiFi of the present invention and function, technical scheme is as follows:
(1) alignment system initializes: the RSSI numerical value of different location and corresponding mobile terminal in system acquisition induction field
To the distance of front-end A P, calculate corresponding positional parameter.
(2) alignment system data acquisition: the mobile terminal RSSI that data acquisition module receiving front-end AP collects, and transmit
To positioning analysis module.
(3) alignment system positioning analysis: alignment system calculates the geographical location information of current mobile terminal according to formula.
(4) alignment system data persistence: the geographical location information of the mobile terminal that analysis is obtained by alignment system is lasting
It is saved in data base.Block, system correction module, location information persistence to the location of mobile terminal and is preserved merit by main realization
Energy.
(5) alignment system correction: alignment system deletes current positional parameter λ, the mobile end in Resurvey induction field
End sample data, and calculate new positional parameter λ.
In method disclosed above, the RSSI numerical value in described step (1) refers to that the target that front-end A P collects moves
The signal intensity numerical value of terminal；Corresponding mobile terminal uses air line distance between the two to the distance of front-end A P.
Positional parameter λ in described step (1) is propagated loss index, and it illustrates road Hou loss and increases with distance
Index ratio.The computational methods of λ are as follows:Wherein Sa、SbRepresent that mobile terminal is at a, b two
RSSI numerical value, unit is db；ln(da) represent a point air line distance to front-end A P；E represents the truth of a matter of natural logrithm.
In described step (1), mobile terminal is at certain RSSI numerical value put, and needs through repetitive measurement, uses Rod Dixon inspection
Method rejecting abnormalities numerical value, reduces error.
In method disclosed above, the RSSI numerical value of the mobile terminal collected in described step (2), need also exist for through
Cross repetitive measurement, use Dixion test rejecting abnormalities numerical value, reduce error.
In method disclosed above, described step (3) farther includes: alignment system uses formulaWherein x represents position to be detected, and o represents known datum mark, sxRepresent that mobile terminal is at x position
RSSI numerical value, dxRepresent the x distance to front-end A P；Front-end A P gathers N number of RSSI data, is calculated N number of distance according to formula
Value d, uses the way of median average filter to process N number of data, obtains final distance value d '.
Described step (3) farther includes: in three dimensions, needs to choose 4 front-end A P node and positions, right
These 4 nodes choose successively therein 3 as basic point, be calculated the position to be measured distance d1 to basic point, d2, d3, d4；Make
With 3 limit distance-measuring and positioning methods, 4 coordinates producing node D (xD, yD, zD) to be measured are estimated as D1 (xD1, yD1, zD1), D2
(xD2, yD2, zD2), D3 (xD3, yD3, zD3), D4 (xD4, yD4, zD4), substitute into formula and be calculated the final of node to be measured
Coordinate position:
In method disclosed above, described step (5) farther includes: alignment system deletes current positional parameter λ,
And reinitialize alignment system, update positional parameter λ.
The beneficial effect that technical solution of the present invention is brought:
A kind of based on WiFi path loss localization method that the present invention proposes can gather in induction field timely
RSSI numerical value, updates positional parameter, is filtered the RSSI numerical value collected processing, rejecting abnormalities data, effectively simultaneously
Decrease position error；A kind of path loss alignment system based on WiFi need not or need little sensor special,
Decrease hardware to put into, reduce cost.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is a kind of based on WiFi path loss localization method schematic flow sheet that the present invention proposes；
Fig. 2 is backstage, a kind of based on WiFi path loss location subsystem module schematic diagram that the present invention proposes；；
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
Develop simultaneously embodiment below in conjunction with the accompanying drawings, is described in detail the present invention.
The embodiment provides a kind of path loss localization method being based on WiFi and system, including 2
Subsystem: front-end A P subsystem, backstage positioning subsystem, wherein front-end A P subsystem can use the most common nothing
Line router, is mainly used in collecting the RSSI data in induction field, and uses the http protocol of standard to be transferred to rear station subsystem；
Rear station subsystem includes 5 modules: system initialization module, data acquisition module, positioning analysis module, data persistence mould
Block, system correction module, location information persistence to the location of mobile terminal and is preserved function by main realization.
A kind of path loss localization method based on WiFi of the present invention, concrete technical scheme is as follows:
(1) alignment system initializes: system has auto-initiation and manual initiation both of which；Wherein the most initial
Change the sensor special needing to set up some (no less than 4) in the range of the induction field of mobile AP, gather in induction field
The RSSI numerical value of different location, in conjunction with the distance of this sensor correspondence mobile terminal to front-end A P, calculates corresponding positional parameter；
Manual initiation pattern needs to be manually entered the RSSI numerical value of sample induction apparatus and the distance of correspondence thereof, calculates corresponding location ginseng
Number λ.
(2) alignment system data acquisition: the mobile terminal RSSI that data acquisition module receiving front-end AP collects, and transmit
To positioning analysis module, between front-end A P subsystem and backstage positioning subsystem, use the http protocol communication of standard.
(3) alignment system positioning analysis: alignment system calculates the geographical location information of current mobile terminal according to formula.
(4) alignment system data persistence: the geographical location information of the mobile terminal that analysis is obtained by alignment system is lasting
It is saved in data base.
(6) alignment system correction: alignment system deletes current positional parameter λ, the mobile end in Resurvey induction field
End sample data, and calculate new positional parameter λ.
In method disclosed above, the RSSI numerical value in described step (1) refers to that the target that front-end A P collects moves
The signal intensity numerical value of terminal；Corresponding mobile terminal uses air line distance between the two to the distance of front-end A P.
Positional parameter λ in described step (1) is propagated loss index, and it illustrates road Hou loss and increases with distance
Index ratio.The computational methods of λ are as follows:Wherein Sa、SbRepresent that mobile terminal is at a, b two
RSSI numerical value, unit is db；ln(da) represent a point air line distance to front-end A P；E represents the truth of a matter of natural logrithm.
In method disclosed above, in described step (1), mobile terminal is at certain RSSI numerical value put, and needs through repeatedly
Measure, obtain one group of data, and use Dixion test rejecting abnormalities numerical value, reduce error.
In method disclosed above, the RSSI numerical value of the mobile terminal collected in described step (2), need also exist for through
Cross repetitive measurement, obtain one group of data, use Dixion test rejecting abnormalities numerical value, reduce error.
In method disclosed above, described step (3) farther includes: alignment system uses formulaWherein x represents position to be detected, and o represents known datum mark, sxRepresent that mobile terminal is at x position
RSSI numerical value, dxRepresent the x distance to front-end A P；Front-end A P gathers N number of RSSI data, is calculated N number of distance according to formula
Value d, uses the way of median average filter to process N number of data, obtains final distance value d '.
Described step (3) farther includes: in three dimensions, needs to choose 4 front-end A P node and positions, right
These 4 nodes choose successively therein 3 as basic point, be calculated the position to be measured distance d1 to basic point, d2, d3, d4；Make
With 3 limit distance-measuring and positioning methods, 4 coordinates producing node D (xD, yD, zD) to be measured are estimated as D1 (xD1, yD1, zD1), D2
(xD2, yD2, zD2), D3 (xD3, yD3, zD3), D4 (xD4, yD4, zD4), substitute into formula and be calculated the final of node to be measured
Coordinate position:
In method disclosed above, described step (5) farther includes: system has automatic deviation correction and manually correction two
The pattern of kind；Automatic deviation correction pattern: default (15 days) at set intervals, utilizes the sensor special in induction field, gathers
The RSSI numerical value of target terminal, the error being calculated between theoretical and actual range is more than 20%, then decision-making system needs
Rectify a deviation, the positional parameter that system-kill is current, and reinitialize alignment system, update positional parameter.Manually rectify a deviation pattern:
It is manually entered new sample data (to include RSSI numerical value and the actual range d) of sample, repeat the calculating process of automatic deviation correction.
A kind of based on WiFi the path loss localization method provided the embodiment of the present invention above and system are carried out
Being discussed in detail, principle and the embodiment of the present invention are set forth by specific case used herein, above example
Method and the core concept thereof being only intended to help to understand the present invention is described；Simultaneously for one of ordinary skill in the art, depend on
According to the thought of the present invention, the most all will change, in sum, this specification content
Should not be construed as limitation of the present invention.
Claims (7)
1. a path loss localization method based on WiFi and system, it is characterised in that comprise the steps:
S1: alignment system initializes: in system acquisition induction field, the RSSI numerical value of different location and corresponding mobile terminal are to front
The distance of end AP, calculates corresponding positional parameter λ；
S2: alignment system data acquisition: the mobile terminal RSSI that data acquisition module receiving front-end AP collects, and transmit given
Module is analyzed in position；
S3: alignment system positioning analysis: alignment system calculates the geographical location information of current mobile terminal according to formula；
S4: alignment system data persistence: the geographical location information of the mobile terminal that analysis is obtained by alignment system persists
To data base；
S5: alignment system is rectified a deviation: alignment system deletes current positional parameter λ, the mobile terminal sample in Resurvey induction field
Notebook data, and calculate new positional parameter λ.
A kind of path loss localization method based on WiFi the most according to claim 1 and system, it is characterised in that: RSSI
Numerical value refers to the signal intensity numerical value of the destination mobile terminal that front-end A P collects；Corresponding mobile terminal makes to the distance of front-end A P
By air line distance between the two.
A kind of path loss localization method based on WiFi the most according to claim 1 and system, it is characterised in that: location
Parameter lambda is propagated loss index, and it illustrates the index ratio that road Hou loss increases with distance.The computational methods of λ are as follows:Wherein Sa、SbRepresenting mobile terminal RSSI numerical value at a, b two, unit is db；ln(da)
Represent a point air line distance to front-end A P；E represents the truth of a matter of natural logrithm.
A kind of path loss localization method based on WiFi the most according to claim 1 and system, it is characterised in that: mobile
The RSSI numerical value of the mobile terminal that terminal collects in RSSI numerical value and front-end A P of sample basic point, is required for through repeatedly surveying
Amount, obtains one group of measurement data, and uses Dixion test rejecting abnormalities numerical value, reduces error.
A kind of path loss localization method based on WiFi the most according to claim 1 and system, it is characterised in that: location
System positioning analysis function uses formulaWherein x represents position to be detected, and o represents known datum mark,
sxRepresent the mobile terminal RSSI numerical value at x position, dxRepresent the x distance to front-end A P；Front-end A P gathers N number of RSSI data, root
It is calculated N number of distance value d according to formula, uses the way of median average filter to process N number of data, obtain final distance value d '.
A kind of path loss localization method based on WiFi the most according to claim 1 and system, it is characterised in that: three
In dimension space, need to choose 4 front-end A P node and position, these 4 nodes are chosen successively therein 3 as base
Point, is calculated the position to be measured distance d1 to basic point, d2, d3, d4；Use 3 limit distance-measuring and positioning methods, produce node D to be measured
4 coordinates of (xD, yD, zD) are estimated as D1 (xD1, yD1, zD1), D2 (xD2, yD2, zD2), D3 (xD3, yD3, zD3), D4
(xD4, yD4, zD4), substitutes into formula and is calculated the final coordinate position of node to be measured:
A kind of path loss localization method based on WiFi the most according to claim 1 and system, it is characterised in that: location
System positioning system deviation-correcting function is mainly used in deleting current positional parameter λ, and reinitializes alignment system, more new definition
Parameter lambda.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106793078A (en) * | 2017-01-05 | 2017-05-31 | 西安电子科技大学 | Bluetooth indoor orientation method based on RSSI correction value Dual positionings |
| CN106790179A (en) * | 2016-12-30 | 2017-05-31 | 广东工业大学 | A kind of method that detection zone positions hijack attack |
| CN107708068A (en) * | 2017-09-29 | 2018-02-16 | 深圳奇迹智慧网络有限公司 | Indoor orientation method, system, computer-readable storage medium and server |
| CN109788451A (en) * | 2019-04-03 | 2019-05-21 | 皖西学院 | A kind of indoor orientation method of adaptive equipment conversion |
| CN110430533A (en) * | 2019-08-26 | 2019-11-08 | 浙江三维通信科技有限公司 | Mobile terminal locating method, device, system, computer equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103546960A (en) * | 2012-07-10 | 2014-01-29 | 中国电信股份有限公司 | Positioning method and system |
| CN105338622A (en) * | 2015-10-13 | 2016-02-17 | 河海大学常州校区 | High-resistance indoor wireless positioning method |
-
2016
- 2016-07-06 CN CN201610528021.XA patent/CN106211318A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103546960A (en) * | 2012-07-10 | 2014-01-29 | 中国电信股份有限公司 | Positioning method and system |
| CN105338622A (en) * | 2015-10-13 | 2016-02-17 | 河海大学常州校区 | High-resistance indoor wireless positioning method |
Non-Patent Citations (2)
| Title |
|---|
| ZHANGLIN YANG: "An Area Zoning Based WLAN Location System", 《CCWMC2009》 * |
| 姜莉: "基于WIFI室内定位关键技术的研究", 《大连理工大学》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106790179A (en) * | 2016-12-30 | 2017-05-31 | 广东工业大学 | A kind of method that detection zone positions hijack attack |
| CN106793078A (en) * | 2017-01-05 | 2017-05-31 | 西安电子科技大学 | Bluetooth indoor orientation method based on RSSI correction value Dual positionings |
| CN107708068A (en) * | 2017-09-29 | 2018-02-16 | 深圳奇迹智慧网络有限公司 | Indoor orientation method, system, computer-readable storage medium and server |
| CN109788451A (en) * | 2019-04-03 | 2019-05-21 | 皖西学院 | A kind of indoor orientation method of adaptive equipment conversion |
| CN110430533A (en) * | 2019-08-26 | 2019-11-08 | 浙江三维通信科技有限公司 | Mobile terminal locating method, device, system, computer equipment and storage medium |
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Application publication date: 20161207 |