CN107425926A - The method and system that Site Survey starts - Google Patents

The method and system that Site Survey starts Download PDF

Info

Publication number
CN107425926A
CN107425926A CN201710673778.2A CN201710673778A CN107425926A CN 107425926 A CN107425926 A CN 107425926A CN 201710673778 A CN201710673778 A CN 201710673778A CN 107425926 A CN107425926 A CN 107425926A
Authority
CN
China
Prior art keywords
access point
information
arrival
user
angle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710673778.2A
Other languages
Chinese (zh)
Inventor
张舜卿
徐树公
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
University of Shanghai for Science and Technology
Original Assignee
University of Shanghai for Science and Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by University of Shanghai for Science and Technology filed Critical University of Shanghai for Science and Technology
Priority to CN201710673778.2A priority Critical patent/CN107425926A/en
Publication of CN107425926A publication Critical patent/CN107425926A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/023Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/003Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The method and system that a kind of Site Survey starts, whether prejudged when access point starts needs to carry out location updating to it, access point is first arranged to terminal work mode, and the positional information of the access point is obtained using terminal positioning mode, the positional information that this is used for computing terminal by the access point uploads onto the server, so as to improve the precision of terminal measurement.The present invention can realize accurate WLAN user positioning measurement, and support customer location timely tracking, support large-scale wireless LAN user's positioning measurement, in addition the present invention possess further realize user's sub-clustering positioning ability and lower deployment cost it is low, without hardware update.

Description

The method and system that Site Survey starts
Technical field
The present invention relates to a kind of technology in wireless information transfer field, specifically a kind of side of Site Survey startup Method and system, can be used for Cellular Networks, Internet of Things, car networking, intelligent grid and intelligent home network etc. has numerous indoor and outdoors Broadband multi-frequency, the occasion of multiple antennas network of user's location requirement.
Background technology
With flourishing for mobile Internet, the application of WLAN (Wireless Fidelity, Wi-Fi) is got over Come more extensive, connecting internet development from original computer includes a series of meters such as mobile phone, tablet personal computer, intelligent appliance to providing Interconnection and internet data access function, the quantity of access point (Access Point, AP) including calculation equipment are also presented Explosive growth.With the large scale deployment of Wi-Fi access points, the user based on Wi-Fi access points positions fluffy using occurring The exhibition of breaking out, including the push of the customer-action analysis based on customer location, sales promotion information fixed point, market layout optimization etc..Wi-Fi connects The operator of access point, the optimization function for the various scenes such as market, hospital, government organs is proposed, wherein all containing Tight demand to the subscriber location function of Wi-Fi access points.But in the positioning for being currently based on Wi-Fi access points is applied, still The problem of a large amount of so be present, the actual conditions of regular movement are needed especially for part Wi-Fi AP positions, temporarily without suitable Solution.If displacement is more notable, tremendous influence can be brought to the location estimation of terminal user.
The content of the invention
The present invention needs to carry out regular movement according to actual conditions for the position of general commercial/family expenses access point, The considerable influence brought so as to the position measurement to terminal.Simultaneously as in view of access point position remeasure along with The temporary transient interruption of user service and extra resource consumption, the problem of how carrying out in time carrying out location updating to access point, The method and system that a kind of Site Survey starts are proposed, accurate WLAN user positioning measurement can be realized, and Support customer location timely tracking, support large-scale wireless LAN user's positioning measurement, in addition the present invention possess into One step realize user's sub-clustering positioning ability and lower deployment cost it is low, without hardware update.
The present invention is achieved by the following technical solutions:
Whether the present invention relates to a kind of method that Site Survey starts, being prejudged when access point starts needs to it Location updating is carried out, i.e., access point is first arranged to terminal work mode, and the access point is obtained using terminal positioning mode Positional information, the positional information that this is used for computing terminal by the access point upload onto the server, so as to improve terminal measurement Precision.
When described access point is fixed access point or possesses the access point of periodicity restarting facility, do not enter Corresponding location updating go to reduce the influence time of user service and resource consumption.
Methods described specifically includes following steps:
Step 1, user equipment are used to measure to transmit between user equipment and access point to access point transmitted reference signal s to be believed The real time status information in road.
Described reference signal includes but is not limited to pilot tone.
The reference signal s launched respectively according to user is estimated this user equipment and access point by step 2, each access point Between transmission channel real time status information H.
For example, for common reception signal y=Hs+w (w is noise), can be estimated according to known reference signal s Go out corresponding channel real time status information H (such as:The methods of H=y/s).
Step 3, the signal for being received on different access points and different frequencies, pass through signal estimation method meter Calculate inclined at that time and eliminated.
Described signal estimation method, including but not limited to least absolute error method, least square method etc..For example, for Original channel real time status information H, obtained channel condition information H ' to the rear can be by based on minimum absolute when it is eliminated The channel condition information of error is inclined when eliminating, and is specially:
1. inclined T when obtaining minimum according to phasing matrix P corresponding to channel condition information H:
Wherein:P (i, j) represents phase information of the channel condition information on i-th antenna, j-th of subcarrier, and fc is in carrier wave Bandwidth, I and J represent the antenna number of maximum and in carrier numbers respectively;
2. inclined T during according to minimum, original channel status information H is compensated, channel shape to the rear letter when being eliminated Cease H':
Obtained channel condition information H ' to the rear when step 4, access point are for eliminating, according to subchannel and antenna serial number Dimension, it is extended respectively so that the channel condition information obtained after extensionAnd find out respective channels status informationColumn vector Characteristic vector a (θ, τ), this feature vector is the function on angle of arrival θ and propagation time τ.
Described extension, meet quantity of its dimension at least above independent channel between access point and user, be specially:It is right Obtained channel condition information H' to the rear is extended respectively according to the dimension of subchannel and antenna serial number during elimination, after making extension Channel condition informationMeet quantity of the dimension at least above independent channel between this WAP and user, and find out pair Channel condition information after should extendingThe characteristic vector a (θ, τ) of column vector.
Described characteristic vector is angle of arrival θ and propagation time τ function, for 4 antennas, the channel shape of 10 subcarriers State information H'
Signal reconstruction is carried out in the case where independent channel quantity is more than 5:
The characteristic vector of generationWherein:Ω=e-j2πfcτIt is phase offset caused by propagation delay;
Φ=e-j2πDsin(θ)f/cIt is to reach phase offset caused by angle, D is the distance between neighbouring reception antenna, and f believes for transmitting Number frequency.
Step 5, access point are according to the channel condition information after reconstructWith characteristic vector a (θ, τ), estimated by multidimensional signal Meter method, the angle of arrival θ and propagation time τ sample of each sampled point are estimated, and sub-clustering is carried out according to the tightness degree of sample Operation, decomposites each most probable angle of arrival θ and propagation time τ of bar independent channel between access point and user.
Described multidimensional signal method of estimation includes but is not limited to orthogonal subspaces method, maximum likelihood method etc., wherein:It is based on The angle of arrival of orthogonal subspaces method and propagation time estimation specifically refer to:
I) positive definite matrix is obtainedValue;
Ii Eigenvalues Decomposition) is carried out to positive definite matrix X, found out when meeting that characteristic value is less than threshold value, corresponding to this feature value Characteristic vector y;
Iii) all obtained combination of eigenvectors are orthogonal subspace matrices Y;
Iv) according to characteristic vector a (θ, τ) and orthogonal subspaces matrix Y, when finding out M (θ, τ) and obtaining extreme value, corresponding θ and τ value:I.e. most probable angle of arrival θ and propagation time τ.
Step 6, access point calculate weighted value to each bar independent channel according to weighting function, and select weighted value most respectively Big path obtains the angle of arrival θ ' and propagation time τ ' of the direct path as direct path;Then to each access point pin Carry out operation of the above-mentioned steps 1 to step 6 respectively to different frequencies, the angle of arrival θ ' of obtained each frequency direct path and Propagation time τ '.
Described weighting function uses but unlimited on sample size, sample propagation time, sample angle of arrival and when propagating Between random degree (such as variance, standard deviation), the weighted sum function of the variable such as sample duration.
Step 7, angle of arrival θ ' and propagation time τ ' for each access point by Combined estimator algorithms selection benchmark, and As benchmark, the weight of other frequency direct paths is calculated;Finally according to the power in each frequency path on each access point The geographical location information of weight and each access point, calculate the positional information of user equipment.
The standard of described Combined estimator algorithms selection can be propagation time most short direct path in each frequency.
Described weight and position information of user equipment obtains especially by the following manner:
A) on the basis of the direct path of frequency 1, i.e.,So for frequency n direct path, what it was referred to Angle of arrival should beThen the weight corresponding to frequency n direct path is:
Wherein:β is used for unified angle and the dimension in propagation time and balance angular error and propagation delay error and position is estimated The influence brought is counted, can be tested calibrated by equipment in systems in practice.
B) estimate that position information of user equipment (x, y) seeks the process of following optimization problem:
Wherein:M be WAP sequence number, n be frequency sequence number, xmAnd ymThe coordinate bit of as m-th WAP Put.SimilarWithRespectively user equipment reaches m-th of WAP on n-th of frequency, by radio transmission Propagation delay and angle of arrival,For to should propagation path weight.
Step 8, the customer position information calculated is stored in the mapping table on user's geographical location information, and on Reach the access point and user equipment of correlation.
The present invention relates to a kind of system for realizing the above method, including:Either distal end is deployed on some access point to take Combined estimator unit, access point and the user equipment being engaged on device, wherein:Access point is sent on multiple frequencies to user equipment Signal measure, estimate angle of arrival and the propagation time of subscriber signal, so as to estimate user with respect to access point position Confidence ceases and exported to Combined estimator unit, Combined estimator unit estimates use according to the positional information from diverse access point The accurate geographical position in family, and carry out timely user geographical position and update.
It is preferably further provided with whether needing the entry condition of location updating to sentence for prejudging in described access point Disconnected module and for access point self poisoning and restart functional module.
Multifrequency point angle of arrival and propagation time receiving module and multifrequency point are preferably further provided with described access point Direction of arrival and propagation time Combined estimator and decision-making module.
Technique effect
The more situation for wireless receiving end collection wireless signal of prior art.For in general WAP, its Parameter setting is configured in a manner of wireless transmitting terminals, does not possess stationkeeping ability generally;And need linear using receiving The modes such as translation, gather the position that multiple signal synthesis judge interference source, by comparison, the present invention is targetedly changed Enter, and technique effect includes:
1) present invention carries out angle of arrival and the progress in propagation time in multiple frequencies by multiple access points to user equipment Multi-faceted estimation, user can be more accurately determined to the direct path between access point, so as to solve original scheme May due to reflect, scatter or signal interference and bring direct path estimation it is inaccurate the problem of.Further, since for every Individual access point, present invention employs the measurement of multifrequency point, not only increases the additional observations point for direct path, is also joint Computing unit provides weight reference to the Combined estimator of customer location, so as to be provided for the accurate combined measurement of multiple access points Important information.
2) reference signal that the present invention is mainly launched by user is come metrical information, therefore, during actual deployment, The alignment system can analyze the position of user while user carries out data transmission, without extra reference signal Or communication process.This, which allows for alignment system, can estimate the situation of change of location of user equipment in time, realize customer location Timely tracking.
3) for large-scale WLAN, the subscriber signal that the present invention can detect according to diverse access point enters The estimation of row customer location, not receiving the access point of subscriber signal only needs in computed user locations without a moment's thought, Without the algorithm of extra change of location estimation.Therefore, the localization method has good adaptability, can be adapted to different rule User's positioning measurement of the network architecture of mould, particularly large-scale wireless LAN.
4) when the present invention can enter row data communication by user and access point, the reference signal of transmitting come measure user with Channel and position between access point, it is not necessary to extra wireless communication burden.And access point and Combined estimator unit it Between communication be also only the angle of arrival of direct path and propagation time on user's different frequent points, thus the actual burden of network can Control.Simultaneously as Combined estimator unit can collect the angle of arrival and propagation time information that different user reaches diverse access point, User's sub-clustering can be carried out according to relevant information so as to further provide for the ability of user's sub-clustering positioning.
5) method used in the present invention only needs to increase the use of software realization respectively in access point and Combined estimator unit Family angle of arrival and propagation time estimation module and the united information in multi-access point user angle of arrival and propagation time processing module, and Any hardware or software upgrading need not be increased at user equipment end, thus with very low lower deployment cost and good use Family equipment compatibility.
Brief description of the drawings
Fig. 1 is the system construction drawing of WAP positioning starting;
Fig. 2 is that the module of Site Survey starter realizes figure;
Fig. 3 is that WLAN proposed by the present invention is based on multi-access point, multifrequency point combined measurement localization method flow chart;
General flow chart of the WLAN based on multi-access point, multifrequency point combined measurement localization method;
Fig. 4 is two access points, the customer location method schematic diagram of three frequency WLANs;
Fig. 5 is the calculation schematic diagram of weight and position information of user equipment;
A is that weight estimates schematic diagram in figure;B is that positional information estimates schematic diagram.
Embodiment
Embodiment 1
The customer location estimation of three access points, two frequency WLANs
As shown in figure 1, the scene that customer location is estimated is directed to for three access points in the present embodiment, wherein three connect Access point is connected by return network with Combined estimator unit.For each access point, user has conventional 2.4GHz and 5GHz Two frequency bins are available for accessing.For convenience of description, it is assumed that two frequency bins have a direct path and a reflection path respectively.
As shown in Fig. 2 the system of the above method is realized for the present embodiment, including:It is deployed on some access point either Combined estimator unit, access point and user equipment on far-end server, wherein:Access point is set on multiple frequencies to user The signal that preparation goes out is measured, and estimates angle of arrival and the propagation time of subscriber signal, and so as to estimate, user is relative to be accessed The positional information of point is simultaneously exported to Combined estimator unit, and Combined estimator unit is estimated according to the positional information from diverse access point The accurate geographical position of user is calculated, and carries out timely user geographical position and updates.
Positioning starting device is preferably further provided with access point in the present embodiment, including:The startup being sequentially connected is drawn Guide module, entry condition judge module, terminal pattern starting module, position and restart functional module and with entry condition judge The connected starting module in the form of access point of module, wherein:Start guiding module and send startup side to entry condition judge module Formula decision instruction, selectivity connects the starting module in the form of access point to Starting mode to entry condition judge module respectively needed for Or terminal pattern starting module, terminal pattern starting module send self poisoning instruction to start to positioning and restart functional module Geographical position updates.
As shown in figure 3, for each access point and each frequency (such as access point 1, frequency 1), it will connect first The reference signal s of user's transmitting is received, estimates the real time status information H of transmission channel between user equipment and access point.In reality In the system of border, the reference signal of user is generally launched simultaneously with data transfer signal, therefore will not introduce extra communication substantially Expense.
Access point 1 is after the reception of user's transmission signal, by the real-time status by least absolute error method to frequency 1 Information H analysis estimates the when deviator of reception signal, and deviator when this is eliminated by phase compensation, after being eliminated Channel condition information H '.With 4 antennas, the channel condition information H ' of 10 subcarriers, it is more than 5 situation in independent channel quantity Exemplified by, channel condition information
Then, access point 1 is by according to the dimension of subchannel and antenna serial number, to the channel condition information of frequency 1Carry out weight Structure,Meet its dimension at least above access point with using The quantity of independent channel between family, and find out channel condition information after reconstructThe characteristic vector a (θ, τ) of column vector:
Wherein:Wherein:Ω=e-j2πfcτIt is phase offset caused by propagation delay;
Φ=e-j2πDsin(θ)f/cIt is to reach phase offset caused by angle, D is the distance between neighbouring reception antenna, and f believes for transmitting Number frequency.
Access point 1 is according to the channel condition information of frequency after reconstruct 1With characteristic vector a (θ, τ), estimate angle of arrival θ and Propagation time τ.Because propagation path may have a plurality of, corresponding same channel condition informationMultiple estimate may be obtained Angle of arrival θ and propagation time τ value.In real system, the channel condition information of frequency 1It will be with data transmission period Continue, obtain multiple sampled results, therefore, multiple angle of arrival θ and propagation time τ sample can be produced accordingly.The basis of access point 1 The tightness degree of the sample of frequency 1 carries out clustering operation, and in units of sample cluster, it is only to decomposite each bar between access point and user Vertical channel most probable angle of arrival θ and propagation time τ.Before Combined estimator unit is passed to, access point 1 is to 1 each bar of frequency Independent channel calculates weighted value respectively, and selects the maximum path of weighted value as direct path, and obtains the direct projection road of frequency 1 The angle of arrival θ ' and propagation time τ ' in footpath., will for the frequency 2 of the different frequent points and access point 1 of access point 2 and access point 3 The angle of arrival θ ' and propagation time τ ' of corresponding direct path are obtained using above-mentioned same flow, and passes to Combined estimator list Member.
Combined estimator unit selects the angle of arrival θ ' and propagation time τ ' of benchmark for access point 1,2,3 respectively, and it is selected Standard can be propagation time most short direct path in each frequency.For example, the benchmark frequency of access point 1 is frequency 1, connect The benchmark frequency of access point 2 is frequency 2, and the benchmark frequency of access point 3 is frequency 1.Combined estimator unit by the frequency 1 of access point 1, connect On the basis of the direct path of the frequency 2 of access point 2 and the frequency 1 of access point 3 determines, and calculate the frequency 2 of access point 1, the frequency of access point 2 1 and the frequency 2 of access point 3 direct path weight.After completing weight calculation, Combined estimator unit will be according on each access point The weight in each frequency path, the geographical location information of each access point, calculate the positional information of user equipment.
After Combined estimator unit completes the positional information calculation of user equipment, the customer position information calculated is stored In the mapping table on user's geographical location information, and pass to the access point and user equipment of correlation.
Embodiment 2
Two access points, three frequency WLANs
As shown in figure 4, access point 1,2 is directed to the scene that customer location is estimated, two of which access in the present embodiment Point is connected by return network with Combined estimator unit.For each access point, user have conventional 2.4GHz, 5GHz and Tri- frequencies of 60GHz are available for accessing.For convenience of description, it is assumed that three frequencies have a direct path and a reflection respectively Path.
For each access point and each frequency (such as access point 1, frequency 1), it will receive user's transmitting first Reference signal s, estimate the real time status information H of transmission channel between user equipment and access point.In systems in practice, use The reference signal at family is generally launched simultaneously with data transfer signal, therefore will not introduce extra communication overhead substantially.
Access point 1 after the reception of user's transmission signal, is missed according to the method in embodiment 1 by lowest mean square Poor method is analyzed the real time status information H of frequency 1, estimate reception signal when deviator and disappeared by phase compensation Remove, the channel condition information H ' after being eliminated.Then, access point 1 is by according to the dimension of subchannel and antenna serial number, to frequency 1 channel condition informationReconstruct as shown in Figure 5 is carried out, finds out channel condition information after reconstructThe characteristic vector a of column vector (θ, τ), and estimate angle of arrival θ and propagation time τ.Because propagation path may have a plurality of, corresponding same channel status letter BreathMultiple values for estimating angle of arrival θ and propagation time τ may be obtained.In real system, the channel condition information of frequency 1Continuing for data transmission period is will be with, obtains multiple sampled results, therefore, multiple angle of arrival θ and propagation can be produced accordingly Time τ sample.Access point 1 carries out clustering operation according to the tightness degree of the sample of frequency 1, and in units of sample cluster, decomposes Go out each most probable angle of arrival θ and propagation time τ of bar independent channel between access point and user.Passing to Combined estimator unit Before, access point 1 calculates weighted value respectively to each bar independent channel of frequency 1, and selects the maximum path of weighted value as straight Rays footpath, and obtain the angle of arrival θ ' and propagation time τ ' of the direct path of frequency 1.
For the frequency 2 and the different frequent points of frequency 3 and access point 2 of access point 1, will be obtained using above-mentioned same flow The angle of arrival θ ' and propagation time τ ' of corresponding direct path are taken, and passes to Combined estimator unit.
As shown in Figure 5 a, Combined estimator unit selects angle of arrival θ ' and the propagation time of benchmark for access point 1,2 respectively τ ', its standard selected can be propagation time most short direct paths in each frequency.For example, the benchmark frequency of access point 1 For frequency 1, the benchmark frequency of access point 2 is frequency 2.Combined estimator unit is straight by the frequency 1 of access point 1 and the frequency 2 of access point 2 On the basis of rays footpath determines, and the frequency 2,3 of access point 1 is calculated, the weight of the direct path of the frequency 1,3 of access point 2.
As shown in Figure 5 b, after completing weight calculation, Combined estimator unit will be according to each frequency path on each access point Weight, the geographical location information of each access point, calculate the positional information of user equipment.
After Combined estimator unit completes the positional information calculation of user equipment, the customer position information calculated is stored In the mapping table on user's geographical location information, and pass to the access point and user equipment of correlation.
Above-mentioned specific implementation can by those skilled in the art on the premise of without departing substantially from the principle of the invention and objective with difference Mode local directed complete set is carried out to it, protection scope of the present invention is defined by claims and not by above-mentioned specific implementation institute Limit, each implementation in the range of it is by the constraint of the present invention.

Claims (10)

1. a kind of method that Site Survey starts, it is characterised in that whether prejudged when access point starts needs to it Location updating is carried out, i.e., access point is first arranged to terminal work mode, and the access point is obtained using terminal positioning mode Positional information, the positional information that this is used for computing terminal by the access point upload onto the server, so as to improve terminal measurement Precision.
2. according to the method for claim 1, it is characterized in that, specifically include following steps:
Step 1, user equipment are used to measure transmission channel between user equipment and access point to access point transmitted reference signal Real time status information;
Step 2, each access point estimate the reference signal launched respectively according to user between this user equipment and access point The real time status information of transmission channel;
Step 3, the signal for being received on different access points and different frequencies, it is calculated by signal estimation method When partially and eliminated;
Obtained channel condition information H ' to the rear when step 4, access point are for eliminating, according to subchannel and the dimension of antenna serial number Degree, is extended so that the channel condition information obtained after extension respectivelyAnd find out respective channels status informationColumn vector Characteristic vector a (θ, τ), this feature vector is the function on angle of arrival θ and propagation time τ;
Step 5, access point are according to the channel condition information after reconstructWith characteristic vector a (θ, τ), pass through multidimensional signal estimation side Method, the angle of arrival θ and propagation time τ sample of each sampled point are estimated, and clustering operation are carried out according to the tightness degree of sample, Decomposite each most probable angle of arrival θ and propagation time τ of bar independent channel between access point and user;
Step 6, access point calculate weighted value respectively according to weighting function to each bar independent channel, and select weighted value maximum Path obtains the angle of arrival θ ' and propagation time τ ' of the direct path as direct path;Then to each access point for not Same frequency carries out operation of the above-mentioned steps 1 to step 6 respectively, the angle of arrival θ ' of obtained each frequency direct path and propagation Time τ ';
Step 7, angle of arrival θ ' and propagation time τ ' for each access point by Combined estimator algorithms selection benchmark, and with this On the basis of, calculate the weights of other frequency direct paths;Finally according to the weight in each frequency path on each access point and The geographical location information of each access point, calculate the positional information of user equipment;
Step 8, the customer position information calculated is stored in the mapping table on user's geographical location information, and be uploaded to Related access point and user equipment.
3. according to the method for claim 2, it is characterized in that, described signal estimation method is real-time for original channel Status information H, obtained channel condition information H ' to the rear can be by the channel status based on least absolute error when it is eliminated Information is inclined when eliminating, and is specially:
1. inclined T when obtaining minimum according to phasing matrix P corresponding to channel condition information H:
Wherein:P (i, j) represents phase information of the channel condition information on i-th antenna, j-th of subcarrier, and fc is in carrier wave Bandwidth, I and J represent the antenna number of maximum and in carrier numbers respectively;
2. inclined T during according to minimum, original channel status information H is compensated, channel shape information H' to the rear when being eliminated:
4. according to the method for claim 1, it is characterized in that, described extension, meet its dimension at least above access point with The quantity of independent channel between user, i.e., to eliminate when obtained channel condition information H' to the rear according to subchannel and antenna serial number Dimension be extended respectively, make the channel condition information after extensionMeet dimension at least above this WAP and user Between independent channel quantity, and find out the channel condition information after corresponding extensionThe characteristic vector a (θ, τ) of column vector.
5. according to the method for claim 2, it is characterized in that, described multidimensional signal method of estimation, in particular to:
I) positive definite matrix is obtainedValue;
Ii Eigenvalues Decomposition) is carried out to positive definite matrix X, found out when meeting that characteristic value is less than threshold value, the spy corresponding to this feature value Levy vectorial y;
Iii) all obtained combination of eigenvectors are orthogonal subspace matrices Y;
Iv) according to characteristic vector a (θ, τ) and orthogonal subspaces matrix Y, when finding out M (θ, τ) acquirement extreme values, corresponding θ's and τ Value:I.e. most probable angle of arrival θ and propagation time τ.
6. according to the method for claim 1, it is characterized in that, described weighting function uses to be passed on sample size, sample Between sowing time, sample angle of arrival and the random degree in propagation time, the weighted sum function of sample duration.
7. according to the method for claim 2, it is characterized in that, described weight and position information of user equipment especially by with Under type obtains:
A) on the basis of the direct path of frequency 1, i.e.,So for frequency n direct path, its arrival referred to Angle should beThen the weight corresponding to frequency n direct path is: Wherein:β is used for unified angle and the dimension in propagation time and balance angular error and propagation delay error to location estimation band The influence come, it can be tested calibrated by equipment in systems in practice;
B) estimate that position information of user equipment (x, y) seeks the process of following optimization problem:
Wherein:M be WAP sequence number, n be frequency sequence number, xmAnd ymThe coordinate bit of as m-th WAP Put.SimilarWithRespectively user equipment reaches m-th of WAP on n-th of frequency, by radio transmission Propagation delay and angle of arrival,For to should propagation path weight.
A kind of 8. system for realizing any of the above-described claim methods described, it is characterised in that including:It is deployed in some access point Upper Combined estimator unit, access point and user equipment either on far-end server, wherein:Access point is on multiple frequencies The signal that user equipment is sent is measured, angle of arrival and the propagation time of subscriber signal are estimated, so as to estimate user With respect to the positional information of access point and output is to Combined estimator unit, and Combined estimator unit is according to the position from diverse access point Information, the accurate geographical position of user is estimated, and carry out timely user geographical position and update.
9. system according to claim 8, it is characterized in that, positioning starting device is further provided with described access point, Including:The startup guiding module that is sequentially connected, entry condition judge module, terminal pattern starting module, position and restart function Module and the starting module in the form of access point being connected with entry condition judge module, wherein:Start guiding module to startup Condition judgment module sends Starting mode decision instruction, and entry condition judge module Starting mode needed for selectively connects respectively Connect starting module or terminal pattern starting module in the form of access point, terminal pattern starting module is to positioning and restart functional module Self poisoning instruction is sent to start geographical position renewal.
10. system according to claim 8, it is characterized in that, multi-access point user is further provided with described access point The united information in angle of arrival and propagation time handles module, including multifrequency point angle of arrival and propagation time receiving module and multifrequency point Direction of arrival and propagation time Combined estimator and decision-making module.
CN201710673778.2A 2017-08-09 2017-08-09 The method and system that Site Survey starts Pending CN107425926A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710673778.2A CN107425926A (en) 2017-08-09 2017-08-09 The method and system that Site Survey starts

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710673778.2A CN107425926A (en) 2017-08-09 2017-08-09 The method and system that Site Survey starts

Publications (1)

Publication Number Publication Date
CN107425926A true CN107425926A (en) 2017-12-01

Family

ID=60436780

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710673778.2A Pending CN107425926A (en) 2017-08-09 2017-08-09 The method and system that Site Survey starts

Country Status (1)

Country Link
CN (1) CN107425926A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113423097A (en) * 2020-08-20 2021-09-21 阿里巴巴集团控股有限公司 Positioning method and device based on RFID and electronic equipment
CN115552996A (en) * 2020-05-08 2022-12-30 上海诺基亚贝尔股份有限公司 Method and device for positioning

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101248626A (en) * 2005-06-24 2008-08-20 高通股份有限公司 Apparatus and method for determining WLAN access point position
CN103068042A (en) * 2013-01-16 2013-04-24 百度在线网络技术(北京)有限公司 Locating method and equipment
WO2015191086A1 (en) * 2014-06-13 2015-12-17 Hewlett-Packard Development Company, L.P. Determining the location of a mobile computing device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101248626A (en) * 2005-06-24 2008-08-20 高通股份有限公司 Apparatus and method for determining WLAN access point position
CN103068042A (en) * 2013-01-16 2013-04-24 百度在线网络技术(北京)有限公司 Locating method and equipment
WO2015191086A1 (en) * 2014-06-13 2015-12-17 Hewlett-Packard Development Company, L.P. Determining the location of a mobile computing device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MANIKANTA KOTARU,ET AL.: "SpotFi: Decimeter Level Localization Using WiFi", 《SIGCOMM 15: PROCEEDINGS OF THE 2015 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115552996A (en) * 2020-05-08 2022-12-30 上海诺基亚贝尔股份有限公司 Method and device for positioning
CN113423097A (en) * 2020-08-20 2021-09-21 阿里巴巴集团控股有限公司 Positioning method and device based on RFID and electronic equipment

Similar Documents

Publication Publication Date Title
Li et al. AF-DCGAN: Amplitude feature deep convolutional GAN for fingerprint construction in indoor localization systems
Zhou et al. Beam-forecast: Facilitating mobile 60 GHz networks via model-driven beam steering
US20200264263A1 (en) Terminal positioning method and baseband unit
US9913092B2 (en) Mitigating signal noise for fingerprint-based indoor localization
CN100579307C (en) Wireless node location method and device for featuring definition of search region to optimize location computation
CN103197280B (en) Access point (AP) location estimation method based on radio-frequency signal strength
CN100591149C (en) Assistant method, apparatus and system for wireless node location
CN101341765B (en) Wireless node location mechanism using antenna pattern diversity to enhance accuracy of location estimates
US7286835B1 (en) Enhanced wireless node location using differential signal strength metric
CN101772156B (en) Positioning method and positioning device of WLAN (wireless local area network)
CN107343315B (en) Positioning system and method based on wireless local area network multi-frequency point combined measurement
US7616555B2 (en) Minimum variance location estimation in wireless networks
CN110022523A (en) Method, apparatus and system for terminal device positioning
CN107015198B (en) Indoor positioning method based on irregular arrangement of antennas
US10763978B2 (en) Wireless positioning calibration system and wireless positioning calibration method
CN103945331B (en) A kind of localization method for the angle estimation that using WIFI field strength leave away
CN112073895A (en) High-precision personnel positioning and tracking method based on CSI
CN108882151A (en) Indoor orientation method based on CSI information areaization mark
CN110933628B (en) Fingerprint indoor positioning method based on twin network
Wu et al. A GA-based mobile RFID localization scheme for internet of things
CN107425926A (en) The method and system that Site Survey starts
Wei et al. Enriching indoor localization fingerprint using a single AC-GAN
He et al. Towards crowdsourced signal map construction via implicit interaction of iot devices
CN109239656A (en) Radio frequency map establishing method in position fingerprint positioning
Tian et al. MIMO CSI-based super-resolution AoA estimation for Wi-Fi indoor localization

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20171201