CN106792561A - A kind of wireless fingerprint positioning method and system - Google Patents
A kind of wireless fingerprint positioning method and system Download PDFInfo
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- CN106792561A CN106792561A CN201710038225.XA CN201710038225A CN106792561A CN 106792561 A CN106792561 A CN 106792561A CN 201710038225 A CN201710038225 A CN 201710038225A CN 106792561 A CN106792561 A CN 106792561A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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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 invention belongs to wireless router communication technical field, and in particular to a kind of wireless fingerprint positioning method and system, the method for the present invention comprises the following steps：S1, sets several datum marks in a positioning region；S2, several humidity levels are divided into by air humidity, gather the location fingerprint of the datum is received under each humidity level wireless signal strength as datum mark, and generate location fingerprint database；S3, the wireless signal strength information according to the current humidity of a terminal to be positioned and reception is matched with the location fingerprint database information, obtains the positional information of the terminal to be positioned.The present invention proposes a kind of wireless fingerprint positioning method and system quantified based on air humidity, solves influence of the air humidity to wireless location technology, improves the precision of wireless location.
Description
Technical field
The invention belongs to wireless router communication technical field, and in particular to a kind of wireless fingerprint positioning method and system.
Background technology
It is indoor with the development and popularization of WLAN (Wireless Local Area Networks, WLAN)
Location technology turns into study hotspot in business, public safety and military application, and such as WLAN deployment is monitored in industry spot
Machine operation, is deployed in warehouse tracking logistics dynamic, or even rapid deployment is live for fireman carries in fire rescue temporarily
For optimal route navigation etc..Existing hardware facility based on WLAN, various indoor positioning clothes are provided by increasing software module
Business also has numerous trials.
Because RSSI (Received signal strength index, received signal strength indicator) is without extra hard
Part device, low cost can meet large-scale application requirement.At present, indoor positioning is mostly using the positioning method based on RSSI.Root
Whether according to needing by physical means direct measurement euclidean distance between node pair, RSSI location technologies can be used for based on range finding and non-ranging two
Class algorithm.
Based on range finding algorithm need obtain node between distance, i.e., known transmission signal intensity, receiving node is according to receipts
The signal intensity for arriving, calculates loss of the signal in communication process, will be propagated using the signal propagation model of theoretical or experience and damaged
Consumption is converted into distance.Chinese invention patent application such as Application No. 201310695193.2 discloses a kind of wireless sensor network
Distance measurement optimization method based on RSSI in network indoor positioning, including RSSI data predictions, entangled apart from precomputation and range error
Positive three steps.First, Gauss is carried out to the RSSI sample sequences value that the signal receiving node in wireless sensor network is obtained
Filtering, after filtering out small probability event, the weight calculation according to each RSSI draws the average of effective received signal strength again
Propagate actual range using the signal between beaconing nodes A and beaconing nodes B estimate beaconing nodes A and ordinary node S it
Between distance；Again, according to shadowing models, calculate measurement that any two can be between the beaconing nodes of direct communication away from
From, and the difference that each measurement distance and signal are propagated between actual range is calculated, determined by least square fitting method every
Relational expression between the error and measurement distance of individual beaconing nodes；Finally, the error using beaconing nodes and the pass of measurement distance
Be formula to carrying out error compensation, so as to the measurement distance for being optimized.But, indoor environment is relative complex, weak output signal, and many
Footpath, reflex are serious, and ranging process is easy to be affected by it producing range error, and the position error thus brought easily to make
Into accumulation, positioning precision is influenceed.
Non-ranging mode realizes positioning using based on location fingerprint matching.Indoor positioning based on location fingerprint matching is substantially
It is divided into two stages of offline sample phase and tuning on-line.The target of offline sample phase be build one on signal intensity with
The location fingerprint database of relation between sampling point position.In order to generate the database, operating personnel need be positioned in environment
Determine some sampled points, then travel through all sampled points, record the radio signal characteristics in the measurement of each sampled point, that is, come from
, finally in some way be stored in database for they by the signal intensity of all access points.During the tuning on-line stage, work as user
When moving to a certain position, according to the signal strength information for receiving in real time, using location algorithm by itself and location fingerprint database
In information matches, calculate the position of the user.Positioning based on location fingerprint is without measurement distance, it is not required that consider to survey
Away from error problem, there is significant advantage in terms of cost and power consumption compared with the former.
Chinese invention patent such as Application No. 201110084662.8 discloses a kind of indoor orientation method and device, institute
Stating method includes obtaining the signal intensity of multiple beaconing nodes transmission that terminal to be positioned is received；By the multiple beaconing nodes hair
The signal intensity sent location fingerprint corresponding with each reference point in each grid in default location fingerprint database carries out similar
Degree compares, and obtains the similarity of grid, and the location fingerprint includes the signal intensity that multiple beaconing nodes send；According to the net
The similarity of lattice, determines the positional information of terminal to be positioned.Described device includes that acquisition signal intensity module, acquisition grid are similar
Degree module and acquisition location information module.The signal intensity sent by the multiple beaconing nodes that will be received, it is multiple with grid
The corresponding location fingerprint of reference point carries out similarity-rough set, determines the position of terminal to be positioned, and the calculating of similarity is extended
Multidimensional is arrived, position fixing process is more rigorous, and setting accuracy improves a lot.
But, the above-mentioned matching location algorithm based on sampled point does not consider influence of the air humidity to wireless signal.
In WLAN indoor positioning algorithms, different seasons and weather has obvious influence, air humidity mistake on the humidity of room air
Greatly, hydrone density can increase in the middle of air, absorb substantial amounts of radio magnetic wave, be passed in atmosphere so as to increased wireless signal
The attenuation broadcast, as a result causes wireless signal strength when air humidity is big, and indoor distribution situation has large change.Therefore,
Need to consider influence of the air humidity to positioning precision in location technology indoors.
The content of the invention
For the deficiencies in the prior art, the present invention provides a kind of wireless fingerprint positioning method and system.
In order to reach foregoing invention purpose, the present invention uses following technical scheme：
A kind of wireless fingerprint positioning method, comprises the following steps：
S1, sets several datum marks in a positioning region；
S2, several humidity levels are divided into by air humidity, gather what the datum under each humidity level was received
Wireless signal strength and generates location fingerprint database as the location fingerprint of datum mark；
S3, according to the current humidity of a terminal to be positioned and the wireless signal strength information of reception and the location fingerprint number
Matched according to storehouse information, obtained the positional information of the terminal to be positioned.
Preferably, the step S2 comprises the following steps：
S21, the wireless signal strength that datum mark is received in all directions under described each humidity level of collection；
S22, the wireless signal that the statistical method based on average or based on probability is received to the datum mark in all directions
Intensity is analyzed treatment, obtains the location fingerprint of the datum mark；
S23, the location fingerprint to each datum mark makees normalized, generates the location fingerprint database.
Preferably, the statistical method based on average obtains the location fingerprint of datum mark, comprises the following steps：Calculate institute
The average value of the wireless signal strength received in datum mark all directions is stated, as the location fingerprint of the datum mark.
Preferably, the statistical method based on probability obtains the location fingerprint of datum mark, comprises the following steps：Calculate institute
The average and variance of the wireless signal strength received in datum mark all directions are stated, as the location fingerprint of the datum mark.
Preferably, the step S1 also includes：The positioning region is divided into several unit grids, each unit grid
It is interior that some datum marks are set, and the location fingerprint of the attribute of each unit grid and its Corresponding base point is stored to institute's rheme
Put fingerprint database.
Preferably, the positioning region lays several beaconing nodes, and beaconing nodes are used as wireless signal transmission source.
Preferably, the step S3 comprises the following steps：
S31, judges the terminal to be positioned humidity level being presently in and the wireless signal strength for gathering its reception, makees
It is the location fingerprint of terminal to be positioned；
S32, travels through the location fingerprint database, calculates the location fingerprint and each described benchmark of the terminal to be positioned
The Euclidean distance of the location fingerprint of point；
S33, to the location fingerprint of the location fingerprint of the whole datum marks in each unit grid and the terminal to be positioned
Euclidean distance summation, draw the minimum unit grid of summing value；
S34, reads the attribute of the minimum unit grid of summing value, and institute is determined based on the minimum unit grid coordinate of summing value
State the positional information of terminal to be positioned.
Invention additionally discloses a kind of wireless fingerprint positioning system, including datum mark setting unit, signal intensity collecting unit,
Location fingerprint database, Data Analysis Services unit and position determination unit, datum mark setting unit are used in a positioning region
Interior to set several datum marks, signal intensity collecting unit is used to gather the wireless communication that datum is received under different humidity grade
Number intensity, location fingerprint database is used to storing wireless signal strength that datum under different humidity grade receives as benchmark
The location fingerprint of point, Data Analysis Services unit is used for the wireless signal strength letter of the current humidity of a terminal to be positioned and reception
Breath is matched with location fingerprint database information, and position determination unit is used to determine according to matching result the position of terminal to be positioned
Confidence ceases.
Preferably, the wireless fingerprint positioning system also includes mesh generation unit, for the positioning region to be divided
It is several unit grids, the location fingerprint database is additionally operable to attribute, humidity level and the location fingerprint of memory cell grid
Information.
Preferably, the Data Analysis Services unit includes average statistical module, probability statistics module and Euclidean distance meter
Module is calculated, average statistical module and probability statistics module are used to perform an analysis the wireless signal strength that the datum is received
Treatment, Euclidean distance computing module is used to calculate the Euclidean distance between the datum mark and terminal to be positioned.
Compared with prior art, beneficial effect is the present invention：
In order to solve influence of the air humidity to wireless location technology, the precision of wireless location is improved, the present invention is proposed
A kind of wireless fingerprint positioning method and system quantified based on air humidity, in offline sample phase, for varying environment humidity
Relation sets up location fingerprint database between the wireless signal strength and sampling point position at interval scene；It is the tuning on-line stage, undetermined
Position terminal be in a certain position when, obtain present position humidity and reception signal strength information, using location algorithm by its
Information matches with corresponding humidity in interval location fingerprint database, calculate the positional information of terminal to be positioned.
Brief description of the drawings
Fig. 1 is the flow chart of wireless fingerprint positioning method of the present invention.
Fig. 2 is the structural framing figure of the wireless fingerprint positioning system of the embodiment of the present invention 4.
Specific embodiment
Explanation is further described to technical scheme below by specific embodiment.
Based in existing wireless location technology not by air humidity to transmission of wireless signals with receive influence take into account,
Different seasons and weather can have obvious influence to the humidity of room air, and air humidity is excessive, the sub- density of moisture in air
Can increase, water molecule energy absorbs substantial amounts of radio magnetic wave, so as to increased the attenuation that wireless signal is propagated in atmosphere, leads
Cause the distribution situation of indoor radio signal intensity to change larger, reduce the positioning precision of wireless location technology.
As shown in figure 1, the present invention proposes a kind of wireless fingerprint positioning method quantified based on air humidity, including following step
Suddenly：
S1, sets several datum marks in a positioning region；
S2, several humidity levels are divided into by air humidity, gather what the datum under each humidity level was received
Wireless signal strength and generates location fingerprint database as the location fingerprint of datum mark；
S3, according to the current humidity of a terminal to be positioned and the wireless signal strength information of reception and the location fingerprint number
Matched according to storehouse information, obtained the positional information of the terminal to be positioned.
Wireless fingerprint positioning method of the invention is elaborated below by specific embodiment.
Embodiment 1：
The wireless fingerprint positioning method of the present embodiment, specifically includes following steps：
Step one：According to the requirement of actual location precision, first the region for needing positioning is divided, be divided into several lists
First grid, and the attribute of unit networks is stored to location fingerprint database；
Step 2：Multiple beaconing nodes are laid in the unit networks of positioning region, it is ensured that received in unit grid
Wireless signal strength has different；
Step 3：According to weather condition, humidity is divided into ten grades, included successively：Humidity is below 10%, humidity
10%~20%, humidity 20%~30%, humidity 30%~40%, humidity 40%~50%, humidity 50%~60%, humidity
60%~70%, humidity 70%~80%, humidity 80%~90%, humidity 90%~100%；
Step 4：Some datum marks are set in each unit grid, in corresponding each humidity of different weather situation etc.
Under level, the wireless signal strength of beaconing nodes that collection datum is received as datum mark location fingerprint, and store to
The location fingerprint database of corresponding humidity level；
Step 5：Obtain the wireless communication of the corresponding humidity level of terminal current weather to be positioned and the beaconing nodes for receiving
Number intensity, and the location fingerprint of datum mark in each unit grid in its location fingerprint database with corresponding humidity level is carried out
Matching, obtains the positional information of terminal to be positioned, specifically includes：
1) letter of the beaconing nodes that the location fingerprint of the datum mark according to each unit grid and terminal to be positioned are received
The location fingerprint of number intensity, calculates the distance between the datum mark of each unit grid and terminal to be positioned respectively；
2) according to the quantity of default unit grid, the distance between each datum mark and terminal to be positioned are calculated, and will
Belong to the summation of the distance between whole datum marks of same unit grid and terminal to be positioned, filter out the benchmark in unit grid
Apart from sum minimum unit grid of the point to terminal to be positioned；
3) according to the unit grid coordinate minimum apart from sum of the datum mark in unit grid to terminal to be positioned, it is determined that
The positional information of terminal to be positioned.
The wireless fingerprint positioning method of the present embodiment is by between the datum mark and terminal to be positioned in computing unit grid
Distance, the size according to distance determines the positional information of terminal to be positioned, and convenient and swift, positioning precision is high.
Embodiment 2：
The present embodiment is based on the wireless fingerprint positioning method under air humidity environment, specifically includes following steps：
Step one：Unit grid division is carried out to positioning region, wherein positioning region may include operating room, lobby, defend
Stair region between life, between hall, corridor and floor, can carry out corresponding net according to the requirement of different positioning precisions
Lattice are divided；
If positioning accuracy request is relatively low, i.e., regional positioning, such as operating room, lobby, toilet can be by whole rooms
It is divided into a unit grid；
Can be multiple lists in units of rice by the structural division of positioning region if the region higher to positioning accuracy request
First grid；
If positioning region is extreme terrain region, such as concave plane and floor gap region can appropriate adjustment unit nets
The length and width or increase redundancy grid of lattice are completely covered with reaching；
According to the shape of unit grid, using each summit of unit grid structure as the datum mark of the grid；
To each unit grid set grid property, grid property include its each unit grid numbering, grid barycentric coodinates,
Adjacent mesh numbering, border reference points numbering etc., the attribute of whole unit grids is stored to location fingerprint database；
Step 2：The Reasonable Arrangement multiple beaconing nodes in the network architecture of positioning region, it is ensured that each unit grid energy
Receive the information of the beaconing nodes of more than three；Beaconing nodes are the access point AP of the WLAN of known location coordinate
(Access Point), beaconing nodes have unique ID；The laying of beaconing nodes follows following principle：Same unit grid
Interior node to be positioned can at least receive information of three stabilizations in the beaconing nodes of -75dBm above signal intensities, it is ensured that each
The wireless signal strength received in grid has different.
Step 3：According to weather condition, humidity is divided into ten grades, be followed successively by：H1 humidity is below 10%, H2 humidity
10%~20%, H3 humidity 20%~30%, H4 humidity 30%~40%, H5 humidity 40%~50%, H6 humidity 50%~
60%th, H7 humidity 60%~70%, H8 humidity 70%~80%, H9 humidity 80%~90% and H10 humidity 90%~100%；
Step 4：H1, H2 ..., H10 in ten humidity levels, received totally in each datum mark collection of unit grid
The wireless signal strength from beaconing nodes, as the location fingerprint of the unit grid store to H1, H2 ..., H10 totally ten
Location fingerprint database D 1, D2 ..., D10；
For all datum marks of each unit grid, respectively H1, H2 ..., H10 is in totally ten humidity levels, will be each
Datum mark receive signal intensity statistic as the finger print information of the datum mark store to location fingerprint database D i (i be 1~
10).The acquisition mode of signal intensity is to carry out rotating acquisition to each datum mark, that is, rotated in datum mark all directions when gathering and moved
It is dynamic, continue for some time, the wireless signal strength for receiving is counted according to different statistical methods, by statistic store to
Location fingerprint database as the datum mark location fingerprint.Wherein rotating acquisition is ensureing to gather wireless signal strength process
Omni-directional, a number of data of continuous collecting, to ensure the validity of data.
Statistical method includes being based on average and the statistics based on probability；
Statistics based on average, calculates each datum mark of each unit grid in humidity level Hi, and a collection is all
The average value of each beaconing nodes signal intensity received in the phase, and be normalized, as the position of the unit grid
Fingerprint is put, is stored to location fingerprint database D i；
Statistics based on probability, calculates each datum mark of each unit grid in humidity level Hi, and a collection is all
The mean μ and variances sigma of each beaconing nodes signal intensity received in the phase, by (μ, σ) as respective beacon node in the list
The location fingerprint of first grid is stored to location fingerprint database D i.
Step 5：When mobile terminal needs positioning, current weather humidity is obtained by mobile terminal, and according to step 4
Humidity level divide, calculate the humidity level Hi that mobile terminal current location is in (i is 1~10)；
Mobile terminal is determined in humidity level Hi, the beaconing nodes signal intensity for receiving and location fingerprint database D i
The middle corresponding datum mark of each unit grid is matched, and obtains the positional information of mobile terminal, is specifically included：
1) by the mobile terminal wireless signal strength that certain position receives in humidity level Hi and beaconing nodes numbering by
Statistical method according to location fingerprint is unified, and even the location fingerprint in location fingerprint database is using the statistics based on average
Method, the then wireless signal strength measured at certain position when positioning also must first calculate average value and be normalized place again
Reason；If the location fingerprint in location fingerprint database is measured during positioning using the statistical method based on probability at certain position
Wireless signal strength also must first calculate the mean μ and variances sigma of each beaconing nodes signal intensity for receiving；
2) location fingerprint of each unit grid multiple datum marks in location fingerprint database D i is traveled through, mobile terminal is calculated and is existed
(location fingerprint is that the wireless signal strength to receiving passes through statistics side to the location fingerprint obtained during positioning in humidity level Hi
What method was obtained) Euclidean distance with the location fingerprint of each datum mark, datum mark is public with the calculating of the Euclidean distance of mobile terminal
Formula is：
Wherein, GiIt is unit grid, x is mobile terminal received signal strength matrix, and N is unit grid GiBenchmark points
Mesh, CjIt is j-th datum mark, d is the number of beaconing nodes, and p is distance parameter.
3) the Euclidean distance summation and then to all datum marks in each unit grid and the location fingerprint of mobile terminal,
According to default distance threshold, the minimum some unit grids of summing value are filtered out；
4) attribute of the minimum some unit grids of summing value, including unit grid numbering and grid barycentric coodinates letter are read
Breath, summation is weighted according to Euclidean distance, and mesh coordinate is using distance (similarity) size as weight, so as to obtain mobile whole
The co-ordinate position information at end, wherein Euclidean distance are smaller, and the weight for assigning the unit grid coordinate information is bigger.
The wireless fingerprint positioning method of the present embodiment, in offline sample phase, for the interval scene of varying environment humidity
Relation between wireless signal strength and reference point location sets up location fingerprint database；In the tuning on-line stage, mobile terminal is in
During a certain position, the humidity of present position and the signal strength information of reception are obtained, using location algorithm by itself and corresponding humidity
Information matches in interval location fingerprint database, calculate the positional information of mobile terminal.The present invention solves air humidity
Influence to wireless location technology, improves the precision of wireless location.
Embodiment 3：
The wireless fingerprint positioning method of the present embodiment is with the difference of embodiment 2：
The wireless fingerprint positioning method of the present embodiment, to all datum marks in each unit grid and the position of mobile terminal
The Euclidean distance summation of fingerprint is put, according to default distance threshold, a minimum unit grid of summing value, the unit is filtered out
Directly as the coordinate position of mobile terminal, other steps can refer to embodiment 2 to mesh coordinate information.
The speed of the wireless fingerprint positioning method positioning mobile terminal of the present embodiment is fast, high precision.
Based on wireless fingerprint positioning method of the invention, also disclose a kind of wireless fingerprint positioning system, especially by with
Lower embodiment elaborates.
Embodiment 4：
As shown in Fig. 2 the wireless fingerprint positioning system of the present embodiment, including the collection of datum mark setting unit, signal intensity
Unit, location fingerprint database, Data Analysis Services unit and position determination unit, datum mark setting unit are used in positioning area
Several datum marks are set in domain, and signal intensity collecting unit is used to gather the wireless of datum reception under different humidity grade
Signal intensity, location fingerprint database is used to storing the wireless signal strength information that datum is received under different humidity grade to be made
On the basis of the location fingerprint put, Data Analysis Services unit is used for the current humidity of terminal to be positioned and the wireless signal of reception is strong
Degree information is matched with location fingerprint database information, and position determination unit is used to determine terminal to be positioned according to matching result
Positional information.
The wireless fingerprint positioning system of the present embodiment, for the wireless signal strength and base at the interval scene of varying environment humidity
The relation between position sets up location fingerprint database on schedule, when terminal to be positioned is in a certain position, obtains present position
Humidity and the signal strength information of reception, using matching algorithm by the letter in its location fingerprint database interval with corresponding humidity
Breath matching, obtains the positional information of terminal to be positioned.The present invention solves influence of the air humidity to wireless location technology, improves
The positioning precision of wireless location system.
Embodiment 5：
The wireless fingerprint positioning system of the present embodiment is with the difference of embodiment 4：
Wireless fingerprint positioning system also includes mesh generation unit and beacon lays unit, and mesh generation unit is used for will be fixed
Position region division is several unit grids, and the attribute of unit grid, humidity level and location fingerprint information Store to position are referred to
Line database, beacon lays unit to be used to lay multiple beaconing nodes in the network architecture of positioning region, it is ensured that unit
Received signal strength has different in grid；Data Analysis Services unit include average statistical module, probability statistics module and
Euclidean distance computing module, to datum receive wireless signal strength perform an analysis treatment when may be selected average statistical module or
Probability statistics module carries out data statistics, and Euclidean distance computing module is used for European between calculating benchmark point and terminal to be positioned
Distance is simultaneously carried out corresponding weighted calculation.The other parts of system can refer to embodiment 4.
The wireless fingerprint positioning system of the present embodiment is by carrying out mesh generation to positioning region, and utilization location algorithm will
The information matches of datum mark, terminal to be positioned is weighed by Euclidean distance in its location fingerprint database interval with corresponding humidity
With the distance of each unit grid, and the size of distance is determined the positional information of mobile terminal as weight, positioning precision is higher.
The wireless fingerprint positioning method and system that the present invention is quantified based on air humidity, in offline sample phase, for not
Location fingerprint database is set up with relation between the interval live wireless signal strength of ambient humidity and sampling point position；Tuning on-line
In the stage, when terminal to be positioned is in a certain position, the humidity of present position and the signal strength information of reception are obtained, using positioning
Information matches in its location fingerprint database interval with corresponding humidity are calculated the position letter of terminal to be positioned by algorithm
Breath.
The technical solution used in the present invention solves influence of the air humidity to wireless location technology, and it is wireless fixed to improve
The precision of position.
The preferred embodiments of the present invention and principle are described in detail above, to one of ordinary skill in the art
Speech, according to the thought that the present invention is provided, will change in specific embodiment, and these changes also should be regarded as the present invention
Protection domain.
Claims (10)
1. a kind of wireless fingerprint positioning method, it is characterised in that comprise the following steps：
S1, sets several datum marks in a positioning region；
S2, several humidity levels are divided into by air humidity, and gather that the datum under each humidity level receives is wireless
Signal intensity and generates location fingerprint database as the location fingerprint of datum mark；
S3, according to the current humidity of a terminal to be positioned and the wireless signal strength information of reception and the location fingerprint database
Information is matched, and obtains the positional information of the terminal to be positioned.
2. wireless fingerprint positioning method according to claim 1, it is characterised in that the step S2 comprises the following steps：
S21, the wireless signal strength that datum mark is received in all directions under described each humidity level of collection；
S22, the wireless signal strength that the statistical method based on average or based on probability is received to the datum mark in all directions
Treatment is analyzed, the location fingerprint of the datum mark is obtained；
S23, the location fingerprint to each datum mark makees normalized, generates the location fingerprint database.
3. wireless fingerprint positioning method according to claim 2, it is characterised in that the statistical method based on average is obtained
The location fingerprint of datum mark is taken, is comprised the following steps：Calculate the flat of the wireless signal strength that is received in the datum mark all directions
Average, as the location fingerprint of the datum mark.
4. wireless fingerprint positioning method according to claim 2, it is characterised in that the statistical method based on probability is obtained
The location fingerprint of datum mark is taken, is comprised the following steps：Calculate in the datum mark all directions receive wireless signal strength it is equal
Value and variance, as the location fingerprint of the datum mark.
5. the wireless fingerprint positioning method according to claim any one of 1-4, it is characterised in that the step S1 is also wrapped
Include：The positioning region is divided into several unit grids, some datum marks are set in each unit grid, and by each list
The attribute of first grid and its location fingerprint of Corresponding base point are stored to the location fingerprint database.
6. wireless fingerprint positioning method according to claim 5, it is characterised in that the positioning region lays several beacons
Node, beaconing nodes are used as wireless signal transmission source.
7. wireless fingerprint positioning method according to claim 5, it is characterised in that the step S3 comprises the following steps：
S31, judges humidity level that the terminal to be positioned is presently in and gathers the wireless signal strength of its reception, used as treating
The location fingerprint of positioning terminal；
S32, travels through the location fingerprint database, calculates the location fingerprint and each datum mark of the terminal to be positioned
The Euclidean distance of location fingerprint；
S33, to the Europe of the location fingerprint of the whole datum marks in each unit grid and the location fingerprint of the terminal to be positioned
Family name's distance summation, draws the minimum unit grid of summing value；
S34, reads the attribute of the minimum unit grid of summing value, is treated described in the unit grid coordinate determination based on summing value minimum
The positional information of positioning terminal.
8. a kind of wireless fingerprint positioning system, it is characterised in that including datum mark setting unit, signal intensity collecting unit, position
Fingerprint database, Data Analysis Services unit and position determination unit are put, datum mark setting unit is used in a positioning region
Several datum marks are set, and signal intensity collecting unit is used to gather the wireless signal that datum is received under different humidity grade
Intensity, location fingerprint database is used to storing datum is received under different humidity grade wireless signal strength as datum mark
Location fingerprint, Data Analysis Services unit is used for the wireless signal strength information of the current humidity of a terminal to be positioned and reception
Matched with location fingerprint database information, position determination unit is used to determine according to matching result the position of terminal to be positioned
Information.
9. wireless fingerprint positioning system according to claim 8, it is characterised in that the wireless fingerprint positioning system is also wrapped
Mesh generation unit is included, for the positioning region to be divided into several unit grids, the location fingerprint database is additionally operable to
The attribute of memory cell grid, humidity level and location fingerprint information.
10. wireless fingerprint positioning system according to claim 8 or claim 9, it is characterised in that the Data Analysis Services unit
Including average statistical module, probability statistics module and Euclidean distance computing module, average statistical module and probability statistics module are equal
For the treatment that performed an analysis to the wireless signal strength that the datum is received, Euclidean distance computing module is used to calculate the base
On schedule with the Euclidean distance between terminal to be positioned.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107979818A (en) * | 2017-11-28 | 2018-05-01 | 元力云网络有限公司 | A kind of processing method of wireless fingerprint storehouse primary data |
| CN114268955A (en) * | 2021-12-23 | 2022-04-01 | 智小途(上海)数字科技有限公司 | Cognitive matching method and system for wireless communication network node signals |
| CN115665852A (en) * | 2022-12-14 | 2023-01-31 | 深圳开鸿数字产业发展有限公司 | Indoor positioning method, device, equipment and storage medium |
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