CN104640073B - A kind of wifi wireless location methods and system based on reverse synchronous perception - Google Patents
A kind of wifi wireless location methods and system based on reverse synchronous perception Download PDFInfo
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- CN104640073B CN104640073B CN201510065667.4A CN201510065667A CN104640073B CN 104640073 B CN104640073 B CN 104640073B CN 201510065667 A CN201510065667 A CN 201510065667A CN 104640073 B CN104640073 B CN 104640073B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
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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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Abstract
The present invention relates to wifi wireless location technologies fields, specially a kind of wifi wireless location methods and system based on reverse synchronous perception, realization is accurately positioned, localization method includes two big steps of training and positioning, the training step need to only execute once, after the completion of the training step, the positioning step can execute arbitrary time, and positioning system includes：One isochronous controller, at least three wifi signal perceptrons, and the mobile terminal positioned, reach different to the method for mobile terminal location by the perception by positioning mobile terminal wifi signal sources fixed to each position from traditional, the present invention allows serves as wifi signal sources by positioning mobile terminal, by the fixed wifi signals perceptron in several positions to positioning mobile terminal by the synchronous perception in positioning mobile terminal signal source.
Description
Technical field
The present invention relates to wifi wireless location technologies field, specially a kind of wifi based on reverse synchronous perception is wirelessly fixed
Position method and system.
Background technology
Common wireless location technology includes the locating schemes such as Wi-Fi, bluetooth, Zigbee, RFID, UWB, but such as
The mobile terminal of the technologies ordinary user such as Zigbee, RFID, UWB can not support mostly, and Wi-Fi network universal, Yi Jiqi
Higher coverage rate and less expensive cost, become the mainstream technology of current indoor positioning.
Traditional wifi indoor positionings usually require the fixed wifi signal sources at least three positions, by being moved by positioning
The perception of each wifi signal sources of terminal-pair, with arrival time（Time of Arrival, TOA）, reaching time-difference（Time
Difference of Arrival, TDOA）, signal strength or received signals fingerprint method position mobile terminal.It is shown in FIG. 1
It is a traditional example positioned by wifi signal strengths：The fixed wifi signal sources wifiA in three positions,
WifiB, wifiC send out wifi signals respectively, the mobile terminal 1 positioned while receiving wifiA, wifiB, wifiC
Wifi signals determine by receiving the signal strength of different wifi signal sources at a distance from different wifi signal sources,
So that it is determined that 1 position of mobile terminal.But since same wifi signal sources can send out the wifi of strength fluctuation whithin a period of time
All there is position error greatly even in signal and the uncertainty of network time delay, conventional mapping methods such as shown in FIG. 1
The problems such as Wrong localization.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of wifi wireless location methods based on reverse synchronous perception and
System, realization are accurately positioned.
The technical scheme is that such：A kind of wifi wireless location methods based on reverse synchronous perception, packet
Include two big steps of training and positioning；The training step need to only execute once, after the completion of the training step, positioning step
Suddenly it can execute arbitrary time.
The training step includes the following steps again：
（1）The acquisition of training data includes following sub-step again：
（1.1）Establish positioning grid：Orientation range is divided into rectangle of several sizes length and width appropriate at 8 to 10 meters
Localization region, and rectangle localization region is numbered；Each rectangle localization region is divided further into the pros of one lattice of every square meter
Shape grid, and place position No. is pressed to grid；
（1.2）Positioning device is set：Wifi signal perceptrons are set on each vertex of each localization region, entirely fixed
An isochronous controller is set in the range of position, is communicated to connect between isochronous controller and wifi signal perceptrons, and wifi is set
The discrepant mobile terminal of signal source emissive porwer is several；
（1.3）Acquisition can reflect the signal number of the wifi of distance relation between each vertex of localization region and grid position
According to：Select the 1st rectangle localization region；The wifi signal sources for opening each mobile terminal put it into this rectangle positioning area
The grid element center of 1st row the 1st row in domain, isochronous controller send out the order for starting perception to wifi signal perceptrons, record
The wifi signal strength values of each mobile terminal perceived from wifi signal perceptrons；The mobile terminal is put into again
The grid element center of the 1st row the 2nd row of the rectangle localization region, isochronous controller is sent out to wifi signal perceptrons again to be started to feel
The order known re-records down the wifi signal strength values of each mobile terminal perceived from wifi signal perceptrons.Such as
This is repeated, until the wifi signal strength values data collection of all grids of all localization regions is finished, record achieves.
（2）Each perceptron signal strength values are established to close with the regional number where mobile terminal, grid line number, grid row number
The regression model or disaggregated model of system.It includes following sub-step again：
（2.1）Construct training sample：Reflect each perceptron signal strength values and regional number, the grid where mobile terminal
Relationship between line number, grid row number can utilize homing method to establish, and sorting technique can also be utilized to establish, by using returning
Return the training sample building method of method, similarly the readily available training sample building method using sorting technique；Using return
Return the training sample building method of method as described below：Each training sample is made of input vector and output vector, it is assumed that
The a certain mobile terminal is in the jth row kth row grid of the i-th localization region, and each signal perceptron is perceived under this position
To wifi signal strength values be respectively wifi1、wifi2、…、wifin, then correspond to the mobile terminal and the net
The training sample of lattice is by wifi1、wifi2、…、wifin, i, j, k constitute, wherein wifi1、wifi2、…、wifinConstitute this training
The input vector part of sample, i, j, k constitute the output vector part of this training sample.If total grid number is m, for acquiring
The mobile terminal number of training sample data is l, then training sample sum is m × l.
（2.2）Train and establish regression model or disaggregated model：Using machine learning method, with the training sample to returning
Return model or disaggregated model to be trained, obtain model parameter, knowledge base is stored in, for regression model, by Parameters in Regression Model
It can obtain [i, j, k]=fIt returns(wifi1、wifi2、…、wifin) functional relation；For disaggregated model, by disaggregated model
Parameter can obtain one group of class i,j,k =fClassification(wifi1、wifi2、…、wifin) functional relation.
The positioning step includes the following steps again：
（1）Turn on into the wifi signal sources by positioning mobile terminal of orientation range；
（2）Mobile terminal sends the wireless signal of request positioning to isochronous controller；
（3）Isochronous controller is sent out to each wifi perceptrons simultaneously starts perception order, receives each perceptron and is felt
The signal strength values wifi for the mobile terminal known1、wifi2、…、wifin.If using regression model, by wifi1、
wifi2、…、wifinSubstitute into regression model fIt returns, regional number i, grid line number j, grid row number k are obtained, positioning purpose is reached；If
Using disaggregated model, then by wifi1、wifi2、…、wifinOne group of disaggregated model f is substituted into successivelyClassification, obtain
class i,j,kWhether it is whether 1 belong to region i, mesh row j, the location information for arranging k to get to described by positioning mobile terminal；
（4）Isochronous controller sends out regional number i, grid line number j, the grid row number k where the mobile terminal by positioning
Give described by positioning mobile terminal, position fixing process terminates.
It is further characterized by, when executing training step, it is described by positioning mobile terminal by the developer of this system
Voluntarily prepare；It is described to be provided by user by positioning mobile terminal when executing positioning step, it is typically to be mounted with to meet the quilt
The smart mobile phone of the software of the mobile terminal function of positioning.
A kind of wifi wireless location systems based on reverse synchronous perception, which is characterized in that it includes：One synchronous control
Device, at least three wifi signal perceptrons, and the mobile terminal that is positioned.
It is further characterized by the isochronous controller starts to perceive wifi letters simultaneously to the transmission of wifi signal perceptrons
Number order, and receive wifi signal perceptrons return the wifi signal strength datas perceived；The isochronous controller is also
The Location Request for the mobile terminal positioned for serving as signal source is received, and positioning result can be transmitted back to the mobile end positioned
End；The isochronous controller has the regression model and its parameter or disaggregated model and its parameter of trained generation, the model
Relationship between parameter reflection signal strength and position;The isochronous controller is receiving being perceived for perceptron return
After the SSID and its signal strength data of wifi signals, comb out by the SSID and its signal strength of positioning mobile terminal, foundation
The model and parameter carry out location Calculation, obtain positioning result；The location information refers to where the mobile terminal by positioning
The regional number in region, the line number and row number of place grid；
The wifi signals perceptron, receive the transmission of the isochronous controller starts perception wifi signal commands, connects
All wifi signals that synchronous scanning after the order perceives have been received, the SSID and its signal strength of these wifi signals are obtained
Data, and these SSID and its signal strength data are back to the isochronous controller；
The mobile terminal is positioned, wifi signals are generated, request positioning signal is sent to the isochronous controller, receives
Isochronous controller is sent to its positioning result.
After applying the present invention, with traditional by by the sense of positioning mobile terminal wifi signal sources fixed to each position
Knowing and reaches different to the method for mobile terminal location, the present invention allows and serves as wifi signal sources by positioning mobile terminal, if by
The dry fixed wifi signals perceptron in position by the synchronous perception in positioning mobile terminal signal source to positioning mobile terminal.
During positioning, traditional method is transfer point perception fixed point, and method of the invention is fixed point perception transfer point, with biography
The perceived direction of system localization method is exactly the opposite, this is the meaning inversely perceived.The fixed wifi in position in the present invention simultaneously
Signal perceptron by the perception in positioning mobile terminal signal source to being carried out at the same time, i.e., reverse perception is synchronous, this is
The meaning of reverse synchronous perception.Since wifi signal sources flashy signal in office is stable, i.e., in a flash, Ji Gewei
The proportionate relationship for setting the signal strength by positioning mobile terminal signal source that fixed wifi signals perceptron is perceived is true
Fixed, so the wifi wireless location methods based on reverse synchronous perception of the present invention may be implemented more accurately to position.At it
Under conditions of his factor is constant, the positioning accuracy of the method for the present invention can be higher by than the precision of traditional wifi wireless location methods
An order of magnitude is realized and is accurately positioned.
Description of the drawings
Fig. 1 is prior-art illustration；
Fig. 2 is training step structural schematic diagram of the present invention；
Fig. 3 is training step flow diagram of the present invention；
Fig. 4 is positioning step structural schematic diagram of the present invention；
Fig. 5 is positioning step flow diagram of the present invention；
Fig. 6 is isochronous controller and wifi signal perceptron schematic diagrames；
Fig. 7 is a specific embodiment during actual location.
Specific implementation mode
For convenience of narration and without loss of generality, orientation range is reduced to a rectangle positioning area in present embodiment
The larger range of positioning method comprising multiple rectangle localization regions can be made in domain on the basis of present embodiment
Analogize and obtains.
A kind of wifi wireless location methods based on reverse synchronous perception comprising two big steps of training and positioning, training
Step need to only execute once, and after the completion of training step, positioning step can execute arbitrary time as needed.
Such as Fig. 2, shown in Fig. 3, training step includes the following steps again：
（1）The acquisition of training data includes following sub-step, such as Fig. 2, shown in Fig. 3 again：
（1.1）Establish positioning grid：Rectangle localization region is divided into the square net of one lattice of every square meter, and to grid
By place position No., line label is 1 ~ j, and j is the natural number more than 1, and row are the natural number more than 1 marked as k, k；
（1.2）Positioning device is set：Each vertex setting wifi signals perceptron 4 totally four in rectangle localization region,
One isochronous controller 3 is set in entire orientation range, is communicated to connect between isochronous controller 3 and wifi signals perceptron 4,
And the discrepant mobile terminal of wifi signal source emissive porwers 2 totally 3 is set；
（1.3）Acquisition can reflect the signal number of the wifi of distance relation between each vertex of localization region and grid position
According to：The wifi signal sources for opening each mobile terminal 2 are put it into the grid of the 1st row the 1st row of this rectangle localization region
The heart, isochronous controller 3 send out the order for starting perception to wifi signals perceptron 4, record and are perceived from wifi signals perceptron 4
The wifi signal strength values of each mobile terminal 2 arrived；Mobile terminal 2 is put into the 1st row the 2nd of this rectangle localization region again
The grid element center of row, isochronous controller 3 send out the order for starting perception to wifi signals perceptron 4, re-record down from wifi again
The wifi signal strength values for each mobile terminal 2 that signal perceptron 4 perceives.It so repeats, until by rectangle positioning area
The wifi signal strength values data collections of all grids in domain finish, and record archive.
Udp radio programs are installed in isochronous controller 3, isochronous controller 3 is in the Location Request for receiving mobile terminal 2
Afterwards, it is ordered to radio broadcasting character string " scan " around, that is, starts the order of perception.
Openwrt system of the installation with udp signal procedures and iw kits, wherein udp in wifi signals perceptron 4
After signal procedure compiles generation ipk files by make, using opkg Installing of Command in the openwrt of wifi signals perceptron 4
In system.After udp signal procedures are opened, a specified port can be opened in openwrt systems, monitor the udp of surrounding without
Line broadcast message；When receiving " scan " character string that isochronous controller 3 is sent out, iw kits can be called, execute " iw dev
Wlan0 scan " orders, are scanned wifi radio signal sources around, collect SSID and wifi signal strengths.
Since four wifi signals perceptrons 4 are " scan " character string for receiving isochronous controller 3 simultaneously and sending out, institute
It is synchronous carry out for the perception of mobile terminal 2 with four wifi signals perceptrons 4.
（2）Establish the row of signal strength values and 2 place grid of mobile terminal that each wifi signals perceptron 4 perceives
Number, the regression model or disaggregated model of row number relationship, include following sub-step again：
（2.1）Construct training sample：This specific embodiment uses the training sample building method of SVM homing methods, class
As be easy to obtain training sample by using sorting technique；Each training sample is made of input vector and output vector,
Assuming that a certain mobile terminal 2 is in the jth row kth row grid of rectangular area, and each wifi signals perceptron 4 is felt under this position
The wifi signal strength values known are respectively wifi1、wifi2、wifi3、wifi4, then correspond to the mobile terminal 2 and the grid
Training sample by wifi1、wifi2、wifi3、wifi4, j, k constitute, wherein wifi1、wifi2、wifi3、wifi4Constitute this instruction
Practice the input vector part of sample, j, k constitute the output vector part of this training sample.If total grid number is m, sample is trained
This sum is 2 × 3 × m.
, then can be by localization region marked as 1 ~ i if there is multiple localization regions, i is the natural number more than 1, then i, j, k
Constitute the output vector part of this training sample.
（2.2）It trains and establishes regression model：Using SVM regression machines, with training sample to regression model or disaggregated model
It is trained, obtains model parameter, be stored in knowledge base.It can be obtained by Parameters in Regression Model
j=fLine number returns(wifi1、wifi2、wifi3、wifi4) functional relation and k=fRow number returns(wifi1、wifi2、wifi3、
wifi4) functional relation.
See Fig. 4, Fig. 5, shown in Fig. 6, positioning step includes the following steps again：
（1）Turn on into the wifi signal sources by positioning mobile terminal 2 of orientation range；
（2）Mobile terminal 2 sends request locating wireless signal to isochronous controller 3；
（3）Isochronous controller 3 is sent out to four wifi signals perceptrons 4 simultaneously starts perception order, receives this four
The signal strength values wifi for the mobile terminal 2 that wifi signals perceptron 4 is perceived1、wifi2、wifi3、wifi4.By wifi1、
wifi2、wifi3、wifi4Regression model f is substituted into respectivelyLine number returnsAnd fRow number returns, obtain 2 place grid of mobile terminal line number j and
Row number k；
（4）Isochronous controller 3 will be sent to by the line number j of 2 place grid of positioning mobile terminal, row number k and be moved by positioning
Terminal 5, position fixing process terminates.
A kind of wifi wireless location systems based on reverse synchronous perception comprising：One isochronous controller 3, four
Wifi signals perceptron 4 and several mobile terminals 2 positioned.
Isochronous controller sends the order for starting to perceive wifi signals to wifi signal perceptrons simultaneously, and receives wifi letters
The wifi signal strength datas perceived that number perceptron returns；Isochronous controller also receives the shifting positioned for serving as signal source
The Location Request of dynamic terminal, and positioning result can be transmitted back to the mobile terminal positioned；Isochronous controller has trained production
Raw regression model and its parameter or disaggregated model and its parameter, the pass between model and parameter reflection signal strength and position
System, isochronous controller is after receiving the SSID and its signal strength data of the wifi signals perceived of perceptron return, comb
It manages out by the SSID and its signal strength of positioning mobile terminal, carries out location Calculation according to model and parameter, obtain positioning result；
Location information refers to by the line number and row number of the regional number of positioning mobile terminal region, place grid；Isochronous controller 3 includes
It is mounted with that the computer of (SuSE) Linux OS, version are Ubuntu14.04 releases, udp is installed on computer and broadcasts journey
Sequence, computer can connect equipment by radio communication and connect the mobile terminal 2 positioned, and SVM recurrence is also installed in computer
Algorithm routine.
Wifi signals perceptron 4, can receive the transmission of isochronous controller 3 starts to perceive wifi signal commands, reception
Its all wifi signal that can perceive of synchronous scanning, obtain the SSID and its signal strength number of these wifi signals after order
According to, and these SSID and its signal strength data are back to isochronous controller 3；Wifi signals perceptron 4 includes the roads RT5350
Wireless access need not be externally provided as a wireless aware device, it is possible to which its operating mode, which is arranged, is by device module
Client mode, the installation of RT5350 router-modules have udp signal procedures and iw kits（Including scanning surrounding wireless network
Order）Openwrt systems；
The mobile terminal 2 positioned, can generate wifi signals, and request positioning signal can be sent to isochronous controller 3,
Also it can receive isochronous controller 3 and be sent to its positioning result.It is client mobile terminal by positioning mobile terminal 2, generally uses
Family handheld terminal, such as smart mobile phone, tablet computer etc, using the operating system of Android/IOS one kind, such equipment can
To open wifi or GPRS connection networks, it is also possible to open its wifi sharing functionality, as wifi access points, supply
The wifi signals perceptron 4 that indoor deployment is completed scans, to determine the 2 current specific location of mobile terminal positioned.
It should be noted that when executing training step, mobile terminal has the developer of this system voluntarily to prepare, and is holding
When row positioning step, the mobile terminal positioned is provided by user, is typically the intelligent hand for being mounted with customization app used for positioning
Machine.
Here is a specific embodiment during an actual location, as shown in Figure 7：
Step S1, user is hand-held as by the smart mobile phone of positioning mobile terminal, starts positioning app；App is positioned to open
Wifi hotspot externally shares wireless access, submits Location Request to isochronous controller, sends SSID parameters, wait service to be controlled
Device restoring to normal position result；
After isochronous controller receives Location Request, scanning for beacon frame ordering is sent in such a way that udp is broadcasted by step S2
" scan ", multiple wifi perceptrons in udp broadcast coverages receive after the order simultaneously to periphery wifi signal sources
Wifi signals are scanned, and are obtained SSID and signal strength, and these data are uploaded to isochronous controller, are paid attention to these uploads
Data in contain the SSID and signal strength of user's smart mobile phone to be positioned；
Step S3 after isochronous controller obtains the data of the upload of wifi perceptrons, is identified using the SSID of user mobile phone
Go out the wifi signal strength values wifi of user mobile phone1、wifi2、…、wifin, using be stored in knowledge base it is trained after SVM return
The localization region number of grid, grid line number, grid row number where returning model and parameter to obtain user mobile phone；
Step S4, isochronous controller send the localization region number of grid where user mobile phone, grid line number, grid row number
To user mobile phone, it is finally completed positioning.
The above is merely preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
The all any modification, equivalent and improvement etc. done within principle, within protection scope of the present invention.
Claims (3)
1. a kind of wifi wireless location methods based on reverse synchronous perception, which is characterized in that it uses reverse synchronous perception
Positioning method, including two steps of training and positioning, the training step execute the positioning step, the training step after the completion
Suddenly comprising following steps：
（1）It is trained the acquisition with data；
（2）Established in isochronous controller regional number where each perceptron signal strength values and mobile terminal, grid line number,
The regression model or disaggregated model of grid row number relationship；
The positioning step comprising following steps：
（1）Turn on into the wifi signal sources for the mobile terminal of orientation range positioned；
（2）The mobile terminal positioned sends the wireless signal of request positioning to isochronous controller；
（3）Isochronous controller is sent out to each wifi signals perceptron simultaneously starts perception order, receives each wifi signals sense
Know the signal strength values for the mobile terminal that device is perceived and carry out data processing using regression model or disaggregated model, if making
With regression model, then the signal strength values of each mobile terminal are substituted into regression model fIt returns, obtain regional number i, mesh row
Number j, grid row number k, reach positioning purpose；If using disaggregated model, by the signal strength values of each mobile terminal according to
One group of disaggregated model f described in secondary substitutionClassification, obtain class i,j,kWhether be 1 to get to it is described by positioning mobile terminal whether
Belong to region i, mesh row j, the location information for arranging k；
（4）Regional number i, grid line number j, grid row number k where the mobile terminal by positioning is sent to by isochronous controller
The mobile terminal positioned completes positioning；The training step need to only execute once, and the training step is completed
Afterwards, the positioning step can execute arbitrary time as needed；Training step（1）In to be trained with the acquisition of data include following
Step：
（1.1）Establish positioning grid：Orientation range is divided into several rectangle localization regions, and rectangle localization region is compiled
Number；Each rectangle localization region is divided further into multiple square nets, and place position No. is pressed to grid；
（1.2）Positioning device is set：Wifi signal perceptrons are set on each vertex of each localization region, in entirely positioning model
One isochronous controller of interior setting is enclosed, is communicated to connect between isochronous controller and each wifi signals perceptron, and be arranged
The discrepant mobile terminal of wifi signal source emissive porwers is several；
（1.3）Acquisition can reflect the signal data of the wifi of distance relation between each vertex of localization region and grid position：
Select the 1st rectangle localization region；The wifi signal sources for opening each mobile terminal, put it into this rectangle localization region
The grid of 1st row the 1st row, isochronous controller send out the order for starting perception to wifi signal perceptrons, record and believe from wifi
The wifi signal strength values for each mobile terminal that number perceptron perceives；The mobile terminal is put into the rectangle again
The grid element center of the 1st row the 2nd row of localization region, isochronous controller send out the life for starting perception to wifi signal perceptrons again
It enables, re-records down the wifi signal strength values of each mobile terminal perceived from wifi signal perceptrons；So repeat,
Until the wifi signal strength values data collections of all grids of all localization regions are finished, record achieves；Training step（2）
In regional number, grid line number, grid where each perceptron signal strength values and mobile terminal are established in isochronous controller
The regression model or disaggregated model of row number relationship include the following steps：
（2.1）Construct training sample：Reflect each perceptron signal strength values and regional number, the mesh row where mobile terminal
Number, the relationship between grid row number is established using homing method or sorting technique is established；Homing method includes the following steps：It is each
Training sample is made of input vector and output vector, it is assumed that a certain mobile terminal is in the jth row of the i-th localization region
Kth row grid, and the wifi signal strength values that each wifi signals perceptron is perceived under this position are respectively wifi1、
wifi2、…、wifin, then correspond to the training sample of the mobile terminal and the grid by wifi1、wifi2、…、
wifin, i, j, k constitute, wherein wifi1、wifi2、…、wifinThe input vector part of this training sample is constituted, i, j, k are constituted
The output vector part of this training sample, if total grid number is m, the mobile terminal number for acquiring training sample data is l,
Then training sample sum is m × l；
（2.2）Train and establish regression model or disaggregated model：Using machine learning method, with the training sample to returning mould
Type or disaggregated model are trained, and obtain model parameter, are stored in knowledge base；It, can be with by Parameters in Regression Model for regression model
Obtain [i, j, k]=fIt returns(wifi1、wifi2、…、wifin) functional relation；For disaggregated model, by disaggregated model parameter
It can obtain one group of class i,j,k =fClassification(wifi1、wifi2、…、wifin) functional relation；If orientation range is divided into
The rectangle localization region that dry length and width are 8 to 10 meters, it is 1 that each rectangle localization region, which is divided further into multiple length of sides,
The square net of rice, the dynamic terminal of wifi signal strength Value Data time shifts for collecting grid are put into the square net center.
2. a kind of wifi wireless location systems based on reverse synchronous perception, which is characterized in that it includes：One synchronous control
Device, at least three wifi signal perceptrons, and the mobile terminal that is positioned；The isochronous controller is simultaneously to wifi signal senses
Know that device sends the order for starting to perceive wifi signals, and receives the wifi signal strengths of wifi signal perceptrons return perceived
Data；The isochronous controller also receives the Location Request for the mobile terminal positioned for serving as signal source, and transmittable
Positioning result is returned to the mobile terminal positioned；The isochronous controller has the regression model and its ginseng of trained generation
Number or disaggregated model and its parameter, the relationship between the model and parameter reflection signal strength and position, the synchronous control
Device is combed out and is moved by positioning after receiving the SSID and its signal strength data of the wifi signals perceived of perceptron return
The SSID and its signal strength of dynamic terminal carry out location Calculation according to the model and parameter, obtain positioning result；The positioning
Information refers to the line number and row number by the regional number of positioning mobile terminal region, place grid；The wifi signals sense
Know device receive the transmission of the isochronous controller start perceive wifi signal commands, after receiving the perception wifi signal commands
All wifi signals that synchronous scanning perceives, obtain the SSID and its signal strength data of these wifi signals, and by these
SSID and its signal strength data are back to the isochronous controller；The mobile terminal positioned generates wifi signals, to
The isochronous controller sends request positioning signal, receives the positioning result that the isochronous controller is sent.
3. a kind of wifi wireless location systems based on reverse synchronous perception according to claim 2, which is characterized in that quilt
The mobile terminal of positioning includes multiple.
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| CN105407503A (en) * | 2015-12-03 | 2016-03-16 | 青岛海信移动通信技术股份有限公司 | Method and device for determining radiation intensity of Wi-Fi signal |
| CN106535099A (en) * | 2016-11-28 | 2017-03-22 | 中国电子科技集团公司第四十八研究所 | Method for locating WiFi signal source |
| CN106842122B (en) * | 2017-02-03 | 2021-08-10 | 惠州Tcl移动通信有限公司 | Auxiliary positioning method and system based on WiFiAware |
| CN108665422B (en) * | 2017-08-30 | 2022-05-10 | 西安电子科技大学 | Single-frame infrared heterogeneity detection method based on reverse sensing in Fourier domain |
| CN112398601B (en) * | 2019-08-12 | 2023-05-05 | 华为技术有限公司 | Method for determining perception information in communication transmission and related equipment |
| US11917488B2 (en) | 2019-09-13 | 2024-02-27 | Troverlo, Inc. | Passive asset tracking using observations of pseudo Wi-Fi access points |
| US11589187B2 (en) | 2019-09-13 | 2023-02-21 | Troverlo, Inc. | Passive sensor tracking using observations of Wi-Fi access points |
| US10848934B1 (en) * | 2019-09-13 | 2020-11-24 | Troverlo, Llc | Passive sensor tracking with existing infrastructure |
| US10728709B1 (en) * | 2019-09-13 | 2020-07-28 | Troverlo, Llc | Passive asset tracking with existing infrastructure |
| CN113543305A (en) * | 2020-04-22 | 2021-10-22 | 维沃移动通信有限公司 | Positioning method, communication equipment and network equipment |
| CN113945888B (en) * | 2021-10-19 | 2022-05-03 | 江南大学 | Interval passive positioning method and system based on TDOA |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251590A (en) * | 2008-03-25 | 2008-08-27 | 哈尔滨工业大学深圳研究生院 | Positioning system and positioning method for infrared wide-angle communication synchronous integral coal mining machine |
| CN101374155A (en) * | 2008-09-11 | 2009-02-25 | 广州杰赛科技股份有限公司 | Method for locating client node in wireless netted network and wireless netted network system |
| CN102098780A (en) * | 2010-12-14 | 2011-06-15 | 北京邮电大学 | Positioning method and device |
| CN102333372A (en) * | 2011-09-15 | 2012-01-25 | 中国科学院计算技术研究所 | Real-time positioning method and system based on radio frequency fingerprints |
| CN103514195A (en) * | 2012-06-21 | 2014-01-15 | 富士通株式会社 | Data filtering device and method and data processing device and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101718859A (en) * | 2008-10-09 | 2010-06-02 | 日电（中国）有限公司 | Method and system for positioning target by adaptive resolution |
-
2015
- 2015-02-09 CN CN201510065667.4A patent/CN104640073B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251590A (en) * | 2008-03-25 | 2008-08-27 | 哈尔滨工业大学深圳研究生院 | Positioning system and positioning method for infrared wide-angle communication synchronous integral coal mining machine |
| CN101374155A (en) * | 2008-09-11 | 2009-02-25 | 广州杰赛科技股份有限公司 | Method for locating client node in wireless netted network and wireless netted network system |
| CN102098780A (en) * | 2010-12-14 | 2011-06-15 | 北京邮电大学 | Positioning method and device |
| CN102333372A (en) * | 2011-09-15 | 2012-01-25 | 中国科学院计算技术研究所 | Real-time positioning method and system based on radio frequency fingerprints |
| CN103514195A (en) * | 2012-06-21 | 2014-01-15 | 富士通株式会社 | Data filtering device and method and data processing device and method |
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