CN104640073A - Reverse synchronous perception-based wifi (Wireless Fidelity) wireless positioning method and system - Google Patents
Reverse synchronous perception-based wifi (Wireless Fidelity) wireless positioning method and system Download PDFInfo
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- CN104640073A CN104640073A CN201510065667.4A CN201510065667A CN104640073A CN 104640073 A CN104640073 A CN 104640073A CN 201510065667 A CN201510065667 A CN 201510065667A CN 104640073 A CN104640073 A CN 104640073A
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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
Abstract
The invention relates to the technical field of wifi (Wireless Fidelity) wireless positioning, in particular to a reverse synchronous perception-based wifi wireless positioning method and a reverse synchronous perception-based wifi wireless positioning system, which realize precise positioning. The positioning method comprises two steps, i.e. a training step and a positioning step, wherein the training step is only required to be implemented for one time; after the training step is finished, the positioning step can be implemented for any times. The positioning system comprises a synchronous controller, at least three wifi signal perception devices and a positioned mobile terminal. The method is different from the traditional method for positioning the mobile terminal by sensing a fixed wifi signal source of each position, by the positioned mobile terminal in that the positioned mobile terminal serves as the wifi signal source, and the mobile terminal is positioned through synchronous perception on the signal source of the positioned mobile terminal by a plurality of wifi signal perception devices with fixed positions.
Description
Technical field
The present invention relates to wifi wireless location technology field, be specially a kind of wifi wireless location method based on reverse synchronous perception and system.
Background technology
Common wireless location technology comprises the targeting scheme such as Wi-Fi, bluetooth, Zigbee, RFID, UWB, but the mobile terminal of the technology domestic consumers such as such as Zigbee, RFID, UWB cannot be supported mostly, and Wi-Fi network is universal, and its higher coverage rate and cheaper cost, become the mainstream technology of current indoor positioning.
The wifi signal source that traditional wifi indoor positioning needs at least three positions fixing usually, by by the perception of localisation of mobile terminals to each wifi signal source, with (the Time of Arrival time of advent, TOA), the method for the time of advent poor (Time Difference of Arrival, TDOA), signal strength signal intensity or received signals fingerprint carrys out localisation of mobile terminals.Shown in Fig. 1 is a traditional example positioned by wifi signal strength signal intensity: the fixing wifi signal source wifiA in three positions, wifiB, wifiC are respectively to sending wifi signal outward, received the wifi signal of wifiA, wifiB, wifiC by the mobile terminal 1 of locating simultaneously, determine the distance from different wifi signal sources by the signal strength signal intensity receiving different wifi signal sources, thus determine mobile terminal 1 position.But because same wifi signal source can send the wifi signal of strength fluctuation within a period of time, and the uncertainty of network time time delay, all there is the problems such as the large even Wrong localization of position error in all conventional mapping methods as shown in Figure 1.
Summary of the invention
In order to solve the problem, the invention provides a kind of wifi wireless location method based on reverse synchronous perception and system, realize accurately locating.
Technical scheme of the present invention is such: a kind of wifi wireless location method based on reverse synchronous perception, and it comprises training and location two large steps; Described training step only need perform once, and after described training step completes, described positioning step can perform secondary arbitrarily.
Described training step comprises the following steps again:
(1) collection of training data, it comprises again following sub-step:
(1.1) locating is set up: orientation range is divided into the suitable length and width of several sizes at the rectangle locating area of 8 to 10 meters, and rectangle locating area is numbered; Each rectangle locating area is divided into further the square net of every square meter one lattice, and to grid by place position No.;
(1.2) positioning equipment is set: wifi signal perceptron is set on each summit of each locating area, an isochronous controller is set in whole orientation range, communicate to connect between isochronous controller and wifi signal perceptron, and it is some to arrange the discrepant mobile terminal of wifi signal source emissive porwer;
(1.3) signal data that can reflect the wifi of distance relation between each summit of locating area and grid position is gathered: select the 1st rectangle locating area; Open the wifi signal source of each mobile terminal, the grid element center that the 1st row the 1st putting it into this rectangle locating area arranges, isochronous controller sends to wifi signal perceptron and starts the order of perception, record each mobile terminal perceived from wifi signal perceptron wifi signal strength values; The grid element center that the 1st row the 2nd more described mobile terminal being put into described rectangle locating area arranges, isochronous controller sends to wifi signal perceptron and starts the order of perception, then record each mobile terminal of perceiving from wifi signal perceptron wifi signal strength values.Repetition like this, until by complete for the described wifi signal strength values Data Collection of all grids of all locating areas, record files.
(2) regional number at each perceptron signal strength values and mobile terminal place, grid line number, the regression model of mesh column relation or disaggregated model is set up.It comprises again following sub-step:
(2.1) training sample is constructed: reflect that the relation between the regional number at each perceptron signal strength values and mobile terminal place, grid line number, mesh column number can utilize homing method to set up, also sorting technique can be utilized to set up, by using the training sample building method of homing method, be easy to the training sample building method obtaining using sorting technique similarly; Use the training sample building method of homing method as described below: each training sample is by input vector and output vector composition, suppose that a certain described mobile terminal is in the jth row kth row grid of the i-th locating area, and the wifi signal strength values that under this position, each signal perceptron perceives is respectively wifi
1, wifi
2..., wifi
n, then the training sample of mobile terminal described in this and grid described in this is corresponded to by wifi
1, wifi
2..., wifi
n, i, j, k form, wherein wifi
1, wifi
2..., wifi
nform the input vector part of this training sample, i, j, k form the output vector part of this training sample.If total grid number is m, be l for gathering the mobile terminal number of training sample data, then training sample adds up to m × l.
(2.2) train and set up regression model or disaggregated model: utilizing machine learning method, with described training sample to regression model or disaggregated model training, obtain model parameter, stored in knowledge base, for regression model, [i, j, k]=f can be obtained by Parameters in Regression Model
return(wifi
1, wifi
2..., wifi
n) functional relation; For disaggregated model, one group of class can be obtained by disaggregated model parameter
i, j, k=f
classification(wifi
1, wifi
2..., wifi
n) functional relation.
Described positioning step comprises the following steps again:
(1) open enter orientation range by the wifi signal source of localisation of mobile terminals;
(2) mobile terminal sends request the wireless signal of location to isochronous controller;
(3) isochronous controller sends to each wifi perceptron simultaneously and starts perception order, receives the signal strength values wifi of the described mobile terminal of each perceptron institute perception
1, wifi
2..., wifi
n.If use regression model, then by wifi
1, wifi
2..., wifi
nsubstitute into regression model f
return, obtain regional number i, grid line number j, mesh column k, reach location object; If use disaggregated model, then by wifi
1, wifi
2..., wifi
nsubstitute into a described component class model f successively
classification, obtain class
i, j, kwhether be 1, namely obtain the described locating information whether being belonged to region i, mesh row j, row k by localisation of mobile terminals;
(4) isochronous controller is sent to described by localisation of mobile terminals by described by the regional number i at localisation of mobile terminals place, grid line number j, mesh column k, and position fixing process terminates.
It is further characterized in that, when performing training step, describedly to be prepared voluntarily by the developer of localisation of mobile terminals by native system; When performing positioning step, describedly to be provided by user by localisation of mobile terminals, normally installed meet described by the smart mobile phone of the software of mobile terminal function of locating.
Based on a wifi wireless location system for reverse synchronous perception, it is characterized in that, it comprises: an isochronous controller, at least three wifi signal perceptrons, and by the mobile terminal of locating.
It is further characterized in that, described isochronous controller sends the order starting perception wifi signal simultaneously to wifi signal perceptron, and receives the wifi signal strength data of institute's perception that wifi signal perceptron returns; Described isochronous controller also receive serve as signal source by the Location Request of mobile terminal of locating, and positioning result can be sent it back to by the mobile terminal of locating; Described isochronous controller has the regression model and parameter thereof or disaggregated model and parameter thereof that produce through training, the relation between described model and parameter reflected signal intensity and position; Described isochronous controller is after the SSID of wifi signal receiving institute's perception that perceptron returns and signal strength data thereof, and combing goes out by the SSID of localisation of mobile terminals and signal strength signal intensity thereof, positions calculating, obtain positioning result according to described model and parameter; Described locating information refers to described by the line number of the regional number of localisation of mobile terminals region, place grid and row number;
Described wifi signal perceptron, receive the beginning perception wifi signal command of the transmission of described isochronous controller, all wifi signals that after have received described order, synchronous scanning perceives, obtain SSID and the signal strength data thereof of these wifi signals, and these SSID and signal strength data thereof are back to described isochronous controller;
By the described mobile terminal in location, produce wifi signal, send request framing signal to described isochronous controller, receive the positioning result that isochronous controller is sent to it.
After adopting the present invention, different by be reached the method for locating mobile terminal to the perception of the wifi signal source that each position is fixed by localisation of mobile terminals from traditional, the present invention allows and is served as wifi signal source by localisation of mobile terminals, and the wifi signal perceptron fixed by several positions carrys out localisation of mobile terminals to by the synchronous perception of localisation of mobile terminals signal source.In the process of location, traditional method is transfer point perception fixing point, and method of the present invention is fixing point perception transfer point, just in time contrary with the perceived direction of conventional mapping methods, and namely this is the implication of reverse perception.The wifi signal perceptron that in the present invention simultaneously, position is fixed carries out by the perception of localisation of mobile terminals signal source simultaneously, and namely reverse perception is synchronous, and namely this is the implication of reverse synchronous perception.Because wifi signal source flashy signal in office is stable, namely together in a flash, what the wifi signal perceptron that several position is fixed perceived is determined by the proportionate relationship of the signal strength signal intensity of localisation of mobile terminals signal source, so the wifi wireless location method based on reverse synchronous perception of the present invention can realize locating more accurately.Under the condition of ceteris paribus, the positioning precision of the inventive method can exceed an order of magnitude than the precision of traditional wifi wireless location method, realizes accurately locating.
Accompanying drawing explanation
Fig. 1 is prior art schematic diagram;
Fig. 2 is training step structural representation of the present invention;
Fig. 3 is training step schematic flow sheet of the present invention;
Fig. 4 is positioning step structural representation of the present invention;
Fig. 5 is positioning step schematic flow sheet of the present invention;
Fig. 6 is isochronous controller and wifi signal perceptron schematic diagram;
Fig. 7 is a specific embodiment in actual location process.
Embodiment
For convenience of describing and without loss of generality, orientation range being reduced to a rectangle locating area in this embodiment, can do to analogize on the basis of this embodiment for the wider locate mode comprising multiple rectangle locating area and obtain.
Based on a wifi wireless location method for reverse synchronous perception, it comprises training and location two large steps, and training step only need perform once, and after training step completes, positioning step can perform secondary arbitrarily as required.
As shown in Fig. 2, Fig. 3, training step comprises the following steps again:
(1) collection of training data, it comprises again following sub-step, as shown in Fig. 2, Fig. 3:
(1.1) set up locating: square net rectangle locating area being divided into every square meter one lattice, and to grid by place position No., line label to be 1 ~ j, j be greater than 1 natural number, row label to be k, k be greater than 1 natural number;
(1.2) positioning equipment is set: wifi signal perceptron 4 totally four is set on each summit of rectangle locating area, an isochronous controller 3 is set in whole orientation range, communicate to connect between isochronous controller 3 and wifi signal perceptron 4, and the discrepant mobile terminal 2 of wifi signal source emissive porwer totally 3 is set;
(1.3) signal data that can reflect the wifi of distance relation between each summit of locating area and grid position is gathered: the wifi signal source opening each mobile terminal 2, the grid element center that the 1st row the 1st putting it into this rectangle locating area arranges, isochronous controller 3 sends the order starting perception to wifi signal perceptron 4, record the wifi signal strength values of each mobile terminal 2 perceived from wifi signal perceptron 4; The grid element center that the 1st row the 2nd again mobile terminal 2 being put into this rectangle locating area arranges, isochronous controller 3 sends the order starting perception again to wifi signal perceptron 4, then records the wifi signal strength values of each mobile terminal 2 perceived from wifi signal perceptron 4.Repetition like this, until by complete for the wifi signal strength values Data Collection of all grids of rectangle locating area, and record files.
In isochronous controller 3, install udp radio program, isochronous controller 3 is after the Location Request receiving mobile terminal 2, and radio broadcasting character string towards periphery " scan " is ordered, that is starts the order of perception.
The openwrt system with udp signal procedure and iw kit is installed in wifi signal perceptron 4, after wherein udp signal procedure generates ipk file by make compiling, uses opkg Installing of Command in the openwrt system of wifi signal perceptron 4.After udp signal procedure is opened, a port of specifying can be opened in openwrt system, monitor udp wireless broadcast information around; When receiving " scan " character string that isochronous controller 3 sends, iw kit can be called, performing " iw dev wlan0 scan " order, the carrying out of around wifi radio signal source is scanned, collecting SSID and wifi signal strength signal intensity.
Because four wifi signal perceptrons 4 receive " scan " character string that isochronous controller 3 sends, so four wifi signal perceptrons 4 synchronously carry out for the perception of mobile terminal 2 simultaneously.
(2) set up signal strength values and the line number of mobile terminal 2 place grid, the regression model of row relation or disaggregated model that each wifi signal perceptron 4 perceives, it comprises again following sub-step:
(2.1) construct training sample: this specific embodiments uses the training sample building method of SVM homing method, obtain training sample easily through use sorting technique similarly; Each training sample, by input vector and output vector composition, suppose that a certain mobile terminal 2 is in the jth row kth row grid of rectangular area, and the wifi signal strength values that under this position, each wifi signal perceptron 4 perceives is respectively wifi
1, wifi
2, wifi
3, wifi
4, then the training sample of this mobile terminal 2 and this grid is corresponded to by wifi
1, wifi
2, wifi
3, wifi
4, j, k form, wherein wifi
1, wifi
2, wifi
3, wifi
4form the input vector part of this training sample, j, k form the output vector part of this training sample.If total grid number is m, then training sample adds up to 2 × 3 × m.
If there is multiple locating area, then can be 1 ~ i, i by locating area label be greater than 1 natural number, then i, j, k form the output vector part of this training sample.
(2.2) train and set up regression model: utilizing SVM regression machine, with training sample to regression model or disaggregated model training, obtaining model parameter, stored in knowledge base.Can be obtained by Parameters in Regression Model
J=f
line number returns(wifi
1, wifi
2, wifi
3, wifi
4) functional relation and k=f
row number return(wifi
1, wifi
2, wifi
3, wifi
4) functional relation.
See Fig. 4, shown in Fig. 5, Fig. 6, positioning step comprises the following steps again:
(1) open enter orientation range by the wifi signal source of localisation of mobile terminals 2;
(2) mobile terminal 2 sends request locating wireless signal to isochronous controller 3;
(3) isochronous controller 3 sends to four wifi signal perceptrons 4 simultaneously and starts perception order, receives the signal strength values wifi of the mobile terminal 2 of this four wifi signal perceptrons 4 perception
1, wifi
2, wifi
3, wifi
4.By wifi
1, wifi
2, wifi
3, wifi
4substitute into regression model f respectively
line number returnsand f
row number return, obtain line number j and the row k of mobile terminal 2 place grid;
(4) isochronous controller 3 sends to by the line number j of localisation of mobile terminals 2 place grid, row k by localisation of mobile terminals 5, and position fixing process terminates.
Based on a wifi wireless location system for reverse synchronous perception, it comprises: an isochronous controller 3, four wifi signal perceptrons 4, and several are by the mobile terminal 2 of locating.
Isochronous controller sends the order starting perception wifi signal simultaneously to wifi signal perceptron, and receives the wifi signal strength data of institute's perception that wifi signal perceptron returns; Isochronous controller also receive serve as signal source by the Location Request of mobile terminal of locating, and positioning result can be sent it back to by the mobile terminal of locating; Isochronous controller has the regression model and parameter thereof or disaggregated model and parameter thereof that produce through training, relation between model and parameter reflected signal intensity and position, isochronous controller is after the SSID of wifi signal receiving institute's perception that perceptron returns and signal strength data thereof, combing goes out by the SSID of localisation of mobile terminals and signal strength signal intensity thereof, position calculating according to model and parameter, obtain positioning result; Locating information refers to by the line number of the regional number of localisation of mobile terminals region, place grid and row number; Isochronous controller 3 comprises the computer having installed (SuSE) Linux OS, its version is that Ubuntu14.04 issues version, computer is installed udp radio program, computer can be connected and be connected by the mobile terminal 2 of locating by Wireless Telecom Equipment, also installs SVM regression algorithm program in computer.
Wifi signal perceptron 4, the beginning perception wifi signal command of the transmission of isochronous controller 3 can be received, its all wifi signals that can perceive of synchronous scanning after have received order, obtain SSID and the signal strength data thereof of these wifi signals, and these SSID and signal strength data thereof are back to isochronous controller 3; Wifi signal perceptron 4 comprises RT5350 router-module, as a wireless aware device, do not need externally to provide wireless access, so can arrange its mode of operation is client mode, RT5350 router-module installs the openwrt system with udp signal procedure and iw kit (comprising the order of wireless network around scanning);
By the mobile terminal 2 of locating, wifi signal can be produced, framing signal can be sent request to isochronous controller 3, also can receive the positioning result that isochronous controller 3 is sent to it.Be client mobile terminal by localisation of mobile terminals 2, be generally user's handheld terminal, such as smart mobile phone, panel computer and so on, use the operating system of Android/IOS mono-class, this kind equipment can open wifi or GPRS interconnection network, simultaneously, also its wifi sharing functionality can be opened, it can be used as wifi access point, the wifi signal perceptron 4 completed for indoor deployment scans, and determines by the current particular location of mobile terminal 2 of locating.
It should be noted that mobile terminal has the developer of native system to prepare voluntarily when performing training step, and when performing positioning step, being provided by user by the mobile terminal of locating, the smart mobile phone of the customization app for locating normally has been installed.
Here is a specific embodiment in an actual location process, as shown in Figure 7:
Step S1, user is hand-held as by the smart mobile phone of localisation of mobile terminals, starts location app; Location app opens wifi hotspot, externally shares wireless access, submits Location Request to isochronous controller, sends SSID parameter, waits for Control Server restoring to normal position result;
Step S2, after isochronous controller receives Location Request, scanning for beacon frame ordering " scan " is sent in the mode of udp broadcast, the wifi signal of periphery wifi signal source is scanned after multiple wifi perceptrons in udp broadcast coverage receive this order simultaneously, obtain SSID and signal strength signal intensity, and by these data upload to isochronous controller, note the SSID and the signal strength signal intensity that contain user's smart mobile phone to be positioned in these data uploaded;
Step S3, after isochronous controller obtains the data uploaded of wifi perceptron, utilizes the SSID of user mobile phone to identify the wifi signal strength values wifi of user mobile phone
1, wifi
2..., wifi
n, utilize the SVM regression model after training that is stored in knowledge base and parameter to obtain locating area number, grid line number, the mesh column number of user mobile phone place grid;
Step S4, the locating area of user mobile phone place grid number, grid line number, mesh column number are sent to user mobile phone by isochronous controller, finally complete location.
These are only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all within protection scope of the present invention.
Claims (10)
1. based on a wifi wireless location method for reverse synchronous perception, it is characterized in that, it adopts the locate mode of reverse synchronous perception, comprise training and location two steps, the described positioning step of execution after described training step completes, described training step, it comprises the following steps:
(1) collection of training data is carried out;
(2) in isochronous controller, set up the regional number at each perceptron signal strength values and mobile terminal place, grid line number, the regression model of mesh column relation or disaggregated model;
Described positioning step, it comprises the following steps:
(1) open enter orientation range by the wifi signal source of mobile terminal of locating;
(2) sent request the wireless signal of location to isochronous controller by the mobile terminal of locating;
(3) isochronous controller sends to each wifi signal perceptron simultaneously and starts perception order, receive the signal strength values of the described mobile terminal of each wifi signal perceptron institute perception and use regression model or disaggregated model to carry out data processing, if use regression model, then the signal strength values of each described mobile terminal is substituted into regression model f
return, obtain regional number i, grid line number j, mesh column k, reach location object; If use disaggregated model, then the signal strength values of each described mobile terminal is substituted into successively a described component class model f
classification, obtain class
i, j, kwhether be 1, namely obtain the described locating information whether being belonged to region i, mesh row j, row k by localisation of mobile terminals;
(4) isochronous controller is sent to described by the described mobile terminal of locating by described by the regional number i at localisation of mobile terminals place, grid line number j, mesh column k, completes location.
2. a kind of wifi wireless location method based on reverse synchronous perception according to claim 1, it is characterized in that, described training step only need perform once, and after described training step completes, described positioning step can perform secondary arbitrarily as required.
3. a kind of wifi wireless location method based on reverse synchronous perception according to claim 1, it is characterized in that, the collection carrying out training data in training step (1) comprises the following steps:
(1.1) set up locating: orientation range is divided into several rectangle locating areas, and rectangle locating area is numbered; Each rectangle locating area is divided into multiple square net further, and to grid by place position No.;
(1.2) positioning equipment is set: wifi signal perceptron is set on each summit of each locating area, an isochronous controller is set in whole orientation range, communicate to connect between isochronous controller and each described wifi signal perceptron, and it is some to arrange the discrepant mobile terminal of wifi signal source emissive porwer;
(1.3) signal data that can reflect the wifi of distance relation between each summit of locating area and grid position is gathered: select the 1st rectangle locating area; Open the wifi signal source of each mobile terminal, the grid that the 1st row the 1st putting it into this rectangle locating area arranges, isochronous controller sends to wifi signal perceptron and starts the order of perception, record each mobile terminal perceived from wifi signal perceptron wifi signal strength values; The grid element center that the 1st row the 2nd more described mobile terminal being put into described rectangle locating area arranges, isochronous controller sends to wifi signal perceptron and starts the order of perception, then record each mobile terminal of perceiving from wifi signal perceptron wifi signal strength values; Repetition like this, until by complete for the wifi signal strength values Data Collection of all grids of all locating areas, record files.
4. a kind of wifi wireless location method based on reverse synchronous perception according to claim 3, it is characterized in that, orientation range is divided into the rectangle locating area that several length and width are 8 to 10 meters, each described rectangle locating area is divided into the square net that multiple length of side is 1 meter further, and the wifi signal strength signal intensity Value Data time shift of collection grid is moved terminal and is put into described square net center.
5. a kind of wifi wireless location method based on reverse synchronous perception according to claim 1, it is characterized in that, in isochronous controller, set up the regional number at each perceptron signal strength values and mobile terminal place, grid line number, the regression model of mesh column relation or disaggregated model in training step (2) comprise the following steps:
(2.1) training sample is constructed: the relation reflecting between the regional number at each perceptron signal strength values and mobile terminal place, grid line number, mesh column number utilizes homing method to set up or sorting technique is set up; Homing method comprises the following steps: each training sample is by input vector and output vector composition, suppose that a certain described mobile terminal is in the jth row kth row grid of the i-th locating area, and the wifi signal strength values that under this position, each wifi signal perceptron perceives is respectively wifi
1, wifi
2..., wifi
n, then the training sample of mobile terminal described in this and grid described in this is corresponded to by wifi
1, wifi
2..., wifi
n, i, j, k form, wherein wifi
1, wifi
2..., wifi
nform the input vector part of this training sample, i, j, k form the output vector part of this training sample, if total grid number is m, be l for gathering the mobile terminal number of training sample data, then training sample adds up to m × l.
(2.2) train and set up regression model or disaggregated model: utilizing machine learning method, with described training sample to regression model or disaggregated model training, obtaining model parameter, stored in knowledge base; For regression model, [i, j, k]=f can be obtained by Parameters in Regression Model
return(wifi
1, wifi
2..., wifi
n) functional relation; For disaggregated model, one group of class can be obtained by disaggregated model parameter
i, j, k=f
classification(wifi
1, wifi
2..., wifi
n) functional relation.
6. based on a wifi wireless location system for reverse synchronous perception, it is characterized in that, it comprises: an isochronous controller, at least three wifi signal perceptrons, and by the mobile terminal of locating.
7. a kind of wifi wireless location system based on reverse synchronous perception according to claim 6, it is characterized in that, described isochronous controller sends the order starting perception wifi signal simultaneously to wifi signal perceptron, and receives the wifi signal strength data of institute's perception that wifi signal perceptron returns; Described isochronous controller also receive serve as signal source by the Location Request of described mobile terminal of locating, and positioning result can be sent it back to by the described mobile terminal of locating; Described isochronous controller has the regression model and parameter thereof or disaggregated model and parameter thereof that produce through training, relation between described model and parameter reflected signal intensity and position, described isochronous controller is after the SSID of wifi signal receiving institute's perception that perceptron returns and signal strength data thereof, combing goes out by the SSID of localisation of mobile terminals and signal strength signal intensity thereof, position calculating according to described model and parameter, obtain positioning result; Described locating information refers to described by the line number of the regional number of localisation of mobile terminals region, place grid and row number.
8. a kind of wifi wireless location system based on reverse synchronous perception according to claim 6, it is characterized in that, described wifi signal perceptron receives the beginning perception wifi signal command of the transmission of described isochronous controller, all wifi signals that after receiving described perception wifi signal command, synchronous scanning perceives, obtain SSID and the signal strength data thereof of these wifi signals, and these SSID and signal strength data thereof are back to described isochronous controller.
9. a kind of wifi wireless location system based on reverse synchronous perception according to claim 6, it is characterized in that, produced wifi signal by the described mobile terminal of locating, send request framing signal to described isochronous controller, receive the positioning result that described isochronous controller sends.
10. a kind of wifi wireless location system based on reverse synchronous perception according to claim 6, is characterized in that, comprised multiple by the mobile terminal of locating.
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