CN107302754A - A kind of indoor positioning simple and easy method based on WiFi and PDR - Google Patents

A kind of indoor positioning simple and easy method based on WiFi and PDR Download PDF

Info

Publication number
CN107302754A
CN107302754A CN201710323757.8A CN201710323757A CN107302754A CN 107302754 A CN107302754 A CN 107302754A CN 201710323757 A CN201710323757 A CN 201710323757A CN 107302754 A CN107302754 A CN 107302754A
Authority
CN
China
Prior art keywords
value
rssi
pdr
node
wifi
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
CN201710323757.8A
Other languages
Chinese (zh)
Inventor
曾博
肖明
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.)
Guangdong University of Technology
Original Assignee
Guangdong University of 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 Guangdong University of Technology filed Critical Guangdong University of Technology
Priority to CN201710323757.8A priority Critical patent/CN107302754A/en
Publication of CN107302754A publication Critical patent/CN107302754A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S11/00Systems for determining distance or velocity not using reflection or reradiation
    • G01S11/02Systems for determining distance or velocity not using reflection or reradiation using radio waves
    • G01S11/06Systems for determining distance or velocity not using reflection or reradiation using radio waves using intensity measurements

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Navigation (AREA)

Abstract

The invention discloses a kind of indoor positioning simple and easy method based on WiFi and PDR, comprise the following steps:Set initial position and step-length;The acceleration magnitude measured by acceleration transducer is judged the motion state of pedestrian;WiFi localization methods are carried out by RSSI value, the RSSI value of multiple reference modes is gathered, when detecting RSSI value more than threshold value, current location is calculated with the algorithm after improvement, regard current location as actual position value;PDR positioning is carried out, carrying out reckoning to indoor pedestrian obtains location estimation.Step-length is unstable when absolute fix of the invention based on RSSI overcomes exclusive use PDR dead reckoning algorithms and easily builds up the defect of error, reduces the fluctuation of RSSI positioning further through PDR technologies.The present invention avoids the higher system of design complexities, also reduces hardware cost consumption so that the cost expended during indoor positioning is relatively low.

Description

A kind of indoor positioning simple and easy method based on WiFi and PDR
Technical field
The present invention relates to indoor positioning technologies field, and in particular to a kind of interior based on Android intelligent terminal equipment Position simple and easy method.
Background technology
Fast development and increasing, wireless location technology of the people to positioning service demand with wireless communication technology Obtain increasing concern.Global position system GPS (Global Position System) was 20 world seventies by U.S. Ministry of National Defence of state, which develops the one kind set up, has comprehensive, round-the-clock, all the period of time, high-precision satellite navigation system, can be the whole world User provides the navigation informations such as low cost, high accuracy three-dimensional position, speed and accurate timing.It is easier what is reached in signal Unobstructed outdoor, can lead to GPS to obtain high-precision location information.For indoor environment, due to GPS signal strength by The influence of indoor complex environment and it is greatly weak, reduce positioning precision, it is impossible to obtain useful positional information.
Research shows that in people's daily life 90% time is indoors, that is to say, that the most of the time is all that GPS determines Position look after less than, so we need to study other indoor positioning technologies.Nowadays, indoor positioning technologies are received increasingly Many concerns, people constantly increase to the demand of indoor positioning, such as:Underground garage is to the orientation management of vehicle location, hospital pair In the tracing management of patient, family children old man positioning nurse and occur disaster when personnel follow the trail of with positioning etc..According to room The property complicated and changeable of interior environment, the various implementation methods and solution of indoor positioning also increasingly occur, such as by GNSS skills Art realizes indoor positioning, or carries out indoor positioning using Radio Transmission Technology, and utilizes dead reckoning, graphical analysis, computer The technologies such as vision carry out indoor positioning.
The positioning precision of the location technologies such as existing infrared ray, RFID is general, and needs in advance in localizing environment middle berth If the higher signal receiving device of precision, also have high requirements to the putting position of signal receiving device.And such as ultrasonic wave and super The positioning precision of the location technologies such as broadband is higher, but the cost of positioner is too high, is not easy to Technique Popularizing.Such as bluetooth, Although the location technologies such as ZigBee are using more popularizing, cost of implementation is relatively low, and positioning precision is larger by surrounding environment influence. WiFi technology is a kind of location technology based on wireless signal, and its demand to infrastructure is low, with low cost, and need not Extras are installed, are the indoor positioning technologies of present main flow.But WiFi indoor positioning technologies are there is also signal easily by room The shortcoming of interior complex environment interference.PDR (Pedestrian Dead Reckoning) location technology is a kind of sensor-based Location technology, is a kind of Relatively orientation technology, can provide movable body continuous two-dimensional position information at any time.With based on nothing The location technology of line signal is compared, and the advantage of the technology is its positioning precision, the data measured in real time depending on sensor Accuracy, the interference by surrounding environment is smaller.But PDR technologies also have corresponding shortcoming, it easily produces accumulated error.
The content of the invention
It is an object of the invention to the accuracy for overcoming existing indoor positioning technologies to exist is not enough, it is easy to by environmental disturbances The high shortcoming with cost, the present invention, which proposes one kind, can effectively improve positioning precision, reduce environmental disturbances, with low cost, skill Art principle is simple, it is easy to the indoor positioning simple and easy method of popularization.
The present invention is achieved through the following technical solutions:
A kind of indoor positioning simple and easy method based on WiFi and PDR, comprises the following steps:
S1:Set initial position and step-length;
S2:The acceleration magnitude measured by acceleration transducer is judged the motion state of pedestrian;
S3:WiFi localization methods are carried out by RSSI value, the RSSI value of multiple reference modes is gathered, when detecting RSSI value During more than threshold value, current location is calculated with the algorithm after improvement, current location is regard as actual position value;
S4:PDR positioning is carried out, carrying out reckoning to indoor pedestrian obtains location estimation.
In above-mentioned technical proposal, in step S2, the method for judging the motion state of pedestrian is as follows:
The system interface provided by android system obtains the real time data of mobile terminal acceleration transducer, obtains Array ai=(xi, yi, zi), xi、yi、ziAcceleration in three directions when system ith is measured is represented respectively, at the same time By to z-axis acceleration magnitude ziPeakvalue's checking is carried out, z-axis acceleration peak value size data z is obtainedp, interval time Ti, when continuing Between Td
Record the acceleration transducer data a at current timen=(xn, yn, zn) with 100ms before acceleration transducer number According to an-1=(xn-1, yn-1, zn-1), by anWith an-1Data and interval time TiProgress processing can obtain vibration amplitude value Value, Value are drawn by following formula:
Value=(| Xn-Xn-1|+|Yn-Yn-1|+|Zn-Zn-1|)/Ti* 100,
Value accumulated value Values is detected, when Values is more than the vibrations threshold value 5 of setting, z can be just judged Axle acceleration peak value size data zpWhether it is more than 1.5, works as 300ms>Duration Td>90ms, interval time Ti>During 100ms, Meter step algorithm can just judge the movement of user.
In above-mentioned technical proposal, collection RSSI value in step s3, when the RSSI value for detecting more than three exceedes During threshold value, current location is calculated with RSSI triangle centroid algorithms, using current location as actual position value, RSSI is realized Ranging is compensated.
In above-mentioned technical proposal, step S3 is realized especially by following steps:
S301:Set RSSIiRepresent that unknown node M receives fixed anchor nodes B1The RSSI average values of signal, PiRepresent unknown Node M receives fixed anchor nodes BiSignal intensity average value, then both transformational relation, as shown by the equation:
For fixed anchor nodes BiAnd BjThe distance between,For with fixed anchor nodes BiAnd BjCalculating is obtained never Know node M to fixed anchor nodes BiDistance, be shown below:
S302:All anchor nodes periodically externally send broadcast message with equal-wattage, and information includes own coordinate And node ID, the RSSI value of each anchor node of unknown node collection, obtain the average value of each anchor node;
S303:When ordinary node is collected into a number of anchor node information, ordinary node is obtained to anchor node distance, D is calculated by correspondence formulai, the d that calculating is obtainediValue is arranged from small to large;
S304:Ordinary node sorts to anchor node from big to small according to RSSI value, and sets up RSSI value and node to anchor section The mapping of point distance, sets up three set,
Wherein anchor node location sets:P_set={ (X1,Y1),(X2,Y2),…,(Xn,Yn),
Anchor node set:B_set={ a1,a2,…,an,
Unknown node is to anchor node distance set:D_set={ d1,d2,…,dn, three set are according to diFrom small to large Order is arranged;
S305:Several anchor nodes before preferential selection RSSI value is big in anchor node set B_set, constitute following anchor section Point set:
Tset={ (a1,a2,a3),(a1,a2,a4)…..(a1,a3,a4),(a1,a3,a5)…}
To anchor node set Tset, according to traditional triangle centroid algorithm, finish node M coordinates are obtained, that is, finally Position location.
In above-mentioned technical proposal, step S4 is specifically included and reckoning is carried out to indoor pedestrian, and setting k is set in advance Step-length, aiThe z-axis acceleration magnitude of ith measurement is represented, n represents that pedestrian has collected altogether n z-axis acceleration in a one-step process Angle value, the numerical value more than, estimated displacement stepsize, drawn by following formula:
The aspect sensor corresponding A PI interfaces provided by android smart machines are obtained after floating type bearing data, first First four corners of the world four direction is judged, then every 45 degree of segmentations, the southeast, northeast, southwest and northwest are judged with this, so Calculate the specific number of degrees again afterwards and obtain specific orientation, according to orientation and estimated displacement, by initial position p0Obtain calculating position Put p1, by DR position p1Value be assigned to p0, carry out the preparation of PDR positioning next time.
In above-mentioned technical proposal, the android smart machines bag smart mobile phone, Intelligent flat or intelligent watch.
The present invention compared with prior art, has the advantages that:
Because the technical scheme that this present invention is used is to be blended using the WiFi location technologies based on RSSI with PDR technologies Alignment by union strategy, the absolute fix based on RSSI overcome exclusive use PDR dead reckoning algorithms when step-length it is unstable and The defect of error is easily built up, the fluctuation of RSSI positioning can be reduced by PDR technologies again.Position fixing process is mainly used Dead reckoning, has evaded the signal easy shortcoming by environmental disturbances during based on RSSI indoor positionings.Meanwhile, use the method for the present invention System without install external equipment, the required precision to sensor is low, so as to avoid the higher system of design complexities Meanwhile, hardware cost consumption can be also reduced, and then make it that the cost expended during indoor positioning is relatively low.The present invention has cost low Honest and clean, technical principle is simple, and positioning precision is higher, and less advantage is disturbed by surrounding environment.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also To obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is schematic flow sheet of the invention;
Fig. 2 judges schematic diagram for the motion state in the present invention;
Fig. 3 is the meter step algorithm flow chart based on PDR in the present invention;
Fig. 4 is the triangle center coordination schematic diagram based on RSSI in the present invention;
Fig. 5 for the present invention in judge direction flow chart with aspect sensor.
Embodiment
With reference to embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited In this.
As shown in figure 1, the present invention proposes a kind of indoor positioning simple and easy method based on WiFi and PDR, comprise the following steps:
S1:Set initial position and step-length;Initial step length is needed according to correspondence model specification.Pedestrian is worn on by one Equipment with it, can be by the acceleration information collected and threshold value set in advance by acceleration transducer gathering data in real time Carry out init state judgement.Acceleration magnitude in the time and gait processes started to walk by pedestrian, is obtained by step length algorithm The step-length of pedestrian.
S2:The acceleration magnitude measured by acceleration transducer is judged the motion state of pedestrian;
S3:WiFi localization methods are carried out by RSSI value, the RSSI value of multiple reference modes is gathered, when detecting RSSI value During more than threshold value, current location is calculated with the algorithm after improvement, current location is regard as actual position value;
S4:PDR positioning is carried out, carrying out reckoning to indoor pedestrian obtains location estimation.
In step S2, the method for judging the motion state of pedestrian is as follows:
The system interface provided by android system obtains the real time data of mobile terminal acceleration transducer, obtains Array ai=(xi, yi, zi), xi、yi、ziAcceleration in three directions when system ith is measured is represented respectively, at the same time By to z-axis acceleration magnitude ziPeakvalue's checking is carried out, z-axis acceleration peak value size data z is obtainedp, interval time Ti, when continuing Between Td, as a result as shown in Figure 2.
Record the acceleration transducer data a at current timen=(xn, yn, zn) with 100ms before acceleration transducer number According to an-1=(xn-1, yn-1, zn-1), by anWith an-1Data and interval time TiProgress processing can obtain vibration amplitude value Value, Value are drawn by following formula:
Value=(| Xn-Xn-1|+|Yn-Yn-1|+|Zn-Zn-1|)/Ti* 100,
Value accumulated value Values is detected, when Values is more than the vibrations threshold value 5 of setting, z can be just judged Axle acceleration peak value size data zpWhether it is more than 1.5, works as 300ms>Duration Td>90ms, interval time Ti>During 100ms, Meter step algorithm can just judge the movement of user, as shown in Figure 3.
Collection RSSI value in step s3, when the RSSI value for detecting more than three exceedes threshold value, with RSSI Triangle centroid algorithm calculates current location, using current location as actual position value, realizes that RSSI rangings are compensated.
Step S3 is realized especially by following steps:
S301:Set RSSIiRepresent that unknown node M receives fixed anchor nodes B1The RSSI average values of signal, PiRepresent unknown Node M receives fixed anchor nodes BiSignal intensity average value, then both transformational relation, as shown by the equation:
For fixed anchor nodes BiAnd BjThe distance between,For with fixed anchor nodes BiAnd BjCalculating is obtained never Know node M to fixed anchor nodes BiDistance, be shown below:
S302:All anchor nodes periodically externally send broadcast message with equal-wattage, and information includes own coordinate And node ID, the RSSI value of each anchor node of unknown node collection, obtain the average value of each anchor node;
S303:When ordinary node is collected into a number of anchor node information, ordinary node is obtained to anchor node distance, D is calculated by correspondence formulai, the d that calculating is obtainediValue is arranged from small to large;
S304:Ordinary node sorts to anchor node from big to small according to RSSI value, and sets up RSSI value and node to anchor section The mapping of point distance, sets up three set,
Wherein anchor node location sets:P_set={ (X1,Y1),(X2,Y2),…,(Xn,Yn),
Anchor node set:B_set={ a1,a2,…,an,
Unknown node is to anchor node distance set:D_set={ d1,d2,…,dn, three set are according to diFrom small to large Order is arranged;
S305:Several anchor nodes before preferential selection RSSI value is big in anchor node set B_set, constitute following anchor section Point set:
Tset={ (a1,a2,a3),(a1,a2,a4)…..(a1,a3,a4),(a1,a3,a5)…}
To anchor node set Tset, according to traditional triangle centroid algorithm, finish node M coordinates are obtained, that is, finally Position location, as shown in Figure 4.
Step S4 is specifically included and reckoning is carried out to indoor pedestrian, and setting k is step-length set in advance, aiRepresent i-th The z-axis acceleration magnitude of secondary measurement, n represents that pedestrian has collected n z-axis acceleration magnitude altogether in a one-step process, according to the above Numerical value, estimated displacement stepsize, drawn by following formula:
The aspect sensor corresponding A PI interfaces provided by android smart machines are obtained after floating type bearing data, first First four corners of the world four direction is judged, then every 45 degree of segmentations, the southeast, northeast, southwest and northwest are judged with this, so Calculate the specific number of degrees again afterwards and obtain specific orientation, according to orientation and estimated displacement, as shown in Figure 5.By initial position p0 Obtain DR position p1, by DR position p1Value be assigned to p0, carry out the preparation of PDR positioning next time.
The android smart machines bag smart mobile phone, Intelligent flat or intelligent watch.
Such scheme uses the alignment by union strategy that the WiFi location technologies based on RSSI are blended with PDR technologies, Step-length is unstable when absolute fix based on RSSI overcomes exclusive use PDR dead reckoning algorithms and easily builds up error Defect, again can by PDR technologies reduce RSSI positioning fluctuation.Position fixing process mainly uses dead reckoning, evades Signal is easily by the shortcoming of environmental disturbances during based on RSSI indoor positionings.Meanwhile, using the system of method of the invention without installing External equipment, the required precision to sensor is low, so as to while design complexities higher system is avoided, can also reduce hard Part cost consumption, and then make it that the cost expended during indoor positioning is relatively low.
Above-described embodiment is preferably embodiment, but embodiments of the present invention are not by above-described embodiment of the invention Limitation, other any Spirit Essences without departing from the present invention and the change made under principle, modification, replacement, combine, simplification, Equivalent substitute mode is should be, is included within protection scope of the present invention.

Claims (6)

1. a kind of indoor positioning simple and easy method based on WiFi and PDR, it is characterised in that comprise the following steps:
S1:Set initial position and step-length;
S2:The acceleration magnitude measured by acceleration transducer is judged the motion state of pedestrian;
S3:WiFi localization methods are carried out by RSSI value, the RSSI value of multiple reference modes is gathered, exceedes when detecting RSSI value During threshold value, current location is calculated with the algorithm after improvement, current location is regard as actual position value;
S4:PDR positioning is carried out, carrying out reckoning to indoor pedestrian obtains location estimation.
2. the indoor positioning simple and easy method according to claim 1 based on WiFi and PDR, it is characterised in that in step S2, The method for judging the motion state of pedestrian is as follows:
The system interface provided by android system obtains the real time data of mobile terminal acceleration transducer, obtains array ai =(xi, yi, zi), xi、yi、ziAcceleration in three directions when system ith is measured is represented respectively, at the same time by right Z-axis acceleration magnitude ziPeakvalue's checking is carried out, z-axis acceleration peak value size data z is obtainedp, interval time Ti, duration Td
Record the acceleration transducer data a at current timen=(xn, yn, zn) with 100ms before acceleration transducer data an-1 =(xn-1, yn-1, zn-1), by anWith an-1Data and interval time TiProgress processing can obtain vibration amplitude value Value, Value is drawn by following formula:
Value=(| Xn-Xn-1|+|Yn-Yn-1|+|Zn-Zn-1|)/Ti* 100,
Value accumulated value Values is detected, when Values is more than the vibrations threshold value 5 of setting, can just judge that z-axis adds Velocity peak values size data zpWhether it is more than 1.5, works as 300ms>Duration Td>90ms, interval time Ti>During 100ms, meter step Algorithm can just judge the movement of user.
3. the indoor positioning simple and easy method according to claim 1 based on WiFi and PDR, it is characterised in that in step s3 Collection RSSI value, when detect more than three RSSI value exceed threshold value when, with RSSI triangles centroid algorithm calculate Go out current location, using current location as actual position value, realize that RSSI rangings are compensated.
4. the indoor positioning simple and easy method according to claim 3 based on WiFi and PDR, it is characterised in that step S3 has Body is realized by following steps:
S301:Set RSSIiRepresent that unknown node M receives fixed anchor nodes BiThe RSSI average values of signal, PiRepresent unknown node M receives fixed anchor nodes BiSignal intensity average value, then both transformational relation, as shown by the equation:
For fixed anchor nodes BiAnd BjThe distance between,For with fixed anchor nodes BiAnd BjCalculate obtain from unknown section Point M to fixed anchor nodes BiDistance, be shown below:
S302:All anchor nodes periodically externally send broadcast message with equal-wattage, and information includes own coordinate and section Point ID, unknown node collects the RSSI value of each anchor node, obtains the average value of each anchor node;
S303:When ordinary node is collected into a number of anchor node information, ordinary node is obtained to anchor node distance, by right Formula is answered to calculate di, the d that calculating is obtainediValue is arranged from small to large;
S304:Ordinary node sorts to anchor node from big to small according to RSSI value, and set up RSSI value and node to anchor node away from From mapping, set up three set,
Wherein anchor node location sets:P_set={ (X1,Y1),(X2,Y2),…,(Xn,Yn),
Anchor node set:B_set={ a1,a2,…,an,
Unknown node is to anchor node distance set:D_set={ d1,d2,…,dn, three set are according to diOrder from small to large Arranged;
S305:Several anchor nodes before preferential selection RSSI value is big in anchor node set B_set, constitute following set of anchor Close:
Tset={ (a1,a2,a3),(a1,a2,a4)…..(a1,a3,a4),(a1,a3,a5)…}
To anchor node set Tset, according to traditional triangle centroid algorithm, finish node M coordinates are obtained, that is, last determine Position position.
5. the indoor positioning simple and easy method according to claim 1 based on WiFi and PDR, it is characterised in that step S4 has Body includes carrying out indoor pedestrian reckoning, and setting k is step-length set in advance, aiRepresent the z-axis acceleration of ith measurement Value, n represents that pedestrian has collected n z-axis acceleration magnitude altogether in a one-step process, the numerical value more than, estimated displacement stepsize, drawn by following formula:
The aspect sensor corresponding A PI interfaces provided by android smart machines are obtained after floating type bearing data, right first Four corners of the world four direction is judged, then every 45 degree of segmentations, the southeast, northeast, southwest and northwest, Ran Houzai are judged with this Calculate the specific number of degrees and obtain specific orientation, according to orientation and estimated displacement, by initial position p0Obtain DR position p1, By DR position p1Value be assigned to p0, carry out the preparation of PDR positioning next time.
6. the indoor positioning simple and easy method according to claim 5 based on WiFi and PDR, it is characterised in that described Android smart machine bags smart mobile phone, Intelligent flat or intelligent watch.
CN201710323757.8A 2017-05-10 2017-05-10 A kind of indoor positioning simple and easy method based on WiFi and PDR Pending CN107302754A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710323757.8A CN107302754A (en) 2017-05-10 2017-05-10 A kind of indoor positioning simple and easy method based on WiFi and PDR

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710323757.8A CN107302754A (en) 2017-05-10 2017-05-10 A kind of indoor positioning simple and easy method based on WiFi and PDR

Publications (1)

Publication Number Publication Date
CN107302754A true CN107302754A (en) 2017-10-27

Family

ID=60137732

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710323757.8A Pending CN107302754A (en) 2017-05-10 2017-05-10 A kind of indoor positioning simple and easy method based on WiFi and PDR

Country Status (1)

Country Link
CN (1) CN107302754A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107885208A (en) * 2017-11-10 2018-04-06 广东工业大学 A kind of robot localization method, system and robot
CN107966151A (en) * 2017-11-22 2018-04-27 合肥工业大学 A kind of indoor pedestrian's dead reckoning method based on multi-sensor fusion technology
CN108599878A (en) * 2018-03-30 2018-09-28 西安蜂语信息科技有限公司 The name placement method and device of scanning device
CN108769401A (en) * 2018-05-23 2018-11-06 Oppo广东移动通信有限公司 Signal detecting method and related product
CN109195099A (en) * 2018-07-06 2019-01-11 广东工业大学 A kind of indoor orientation method merged based on iBeacon and PDR
WO2020088644A1 (en) * 2018-11-01 2020-05-07 华为技术有限公司 Positioning method and device
WO2021012879A1 (en) * 2019-07-22 2021-01-28 香港中文大学(深圳) Trajectory reconstruction method and apparatus, computer device and storage medium
CN112637762A (en) * 2020-12-11 2021-04-09 武汉科技大学 Indoor fusion positioning method based on improved PDR algorithm

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102123495A (en) * 2011-01-13 2011-07-13 山东大学 Centroid location algorithm based on RSSI (Received Signal Strength Indication) correction for wireless sensor network
CN104061934A (en) * 2014-06-10 2014-09-24 哈尔滨工业大学 Pedestrian indoor position tracking method based on inertial sensor
CN104655137A (en) * 2015-03-05 2015-05-27 中国人民解放军国防科学技术大学 Wi-Fi signal fingerprint positioning algorithm for assisting in speculating flight tracks of pedestrians
CN105547298A (en) * 2015-12-25 2016-05-04 北京京元智慧应急技术有限公司 Indoor dynamic continuous positioning method fusing smartphone built-in sensor and Wi-Fi (Wireless Fidelity)
US20170074965A1 (en) * 2015-09-14 2017-03-16 Samsung Electronics Co., Ltd. Terminal and method for measuring location thereof
CN106610292A (en) * 2015-10-22 2017-05-03 北京金坤科创技术有限公司 Method of indoor positioning through combination of WIFI and pedestrian dead reckoning (PDR)

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102123495A (en) * 2011-01-13 2011-07-13 山东大学 Centroid location algorithm based on RSSI (Received Signal Strength Indication) correction for wireless sensor network
CN104061934A (en) * 2014-06-10 2014-09-24 哈尔滨工业大学 Pedestrian indoor position tracking method based on inertial sensor
CN104655137A (en) * 2015-03-05 2015-05-27 中国人民解放军国防科学技术大学 Wi-Fi signal fingerprint positioning algorithm for assisting in speculating flight tracks of pedestrians
US20170074965A1 (en) * 2015-09-14 2017-03-16 Samsung Electronics Co., Ltd. Terminal and method for measuring location thereof
CN106610292A (en) * 2015-10-22 2017-05-03 北京金坤科创技术有限公司 Method of indoor positioning through combination of WIFI and pedestrian dead reckoning (PDR)
CN105547298A (en) * 2015-12-25 2016-05-04 北京京元智慧应急技术有限公司 Indoor dynamic continuous positioning method fusing smartphone built-in sensor and Wi-Fi (Wireless Fidelity)

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郑学理,付敬奇: "基于PDR 和RSSI 的室内定位算法研究", 《仪器仪表学报》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107885208A (en) * 2017-11-10 2018-04-06 广东工业大学 A kind of robot localization method, system and robot
CN107966151A (en) * 2017-11-22 2018-04-27 合肥工业大学 A kind of indoor pedestrian's dead reckoning method based on multi-sensor fusion technology
CN108599878A (en) * 2018-03-30 2018-09-28 西安蜂语信息科技有限公司 The name placement method and device of scanning device
CN108769401A (en) * 2018-05-23 2018-11-06 Oppo广东移动通信有限公司 Signal detecting method and related product
CN108769401B (en) * 2018-05-23 2020-12-08 Oppo广东移动通信有限公司 Signal detection method and related product
CN109195099A (en) * 2018-07-06 2019-01-11 广东工业大学 A kind of indoor orientation method merged based on iBeacon and PDR
CN109195099B (en) * 2018-07-06 2020-09-08 广东工业大学 Indoor positioning method based on iBeacon and PDR fusion
WO2020088644A1 (en) * 2018-11-01 2020-05-07 华为技术有限公司 Positioning method and device
WO2021012879A1 (en) * 2019-07-22 2021-01-28 香港中文大学(深圳) Trajectory reconstruction method and apparatus, computer device and storage medium
CN112637762A (en) * 2020-12-11 2021-04-09 武汉科技大学 Indoor fusion positioning method based on improved PDR algorithm

Similar Documents

Publication Publication Date Title
CN107302754A (en) A kind of indoor positioning simple and easy method based on WiFi and PDR
CN108012326B (en) The method and chip of robot monitoring pet based on grating map
CN102419180B (en) Indoor positioning method based on inertial navigation system and WIFI (wireless fidelity)
Fang et al. Design of a wireless assisted pedestrian dead reckoning system-the NavMote experience
CN108151747B (en) Indoor positioning system and positioning method using fusion of acoustic signals and inertial navigation
CN103076619B (en) System and method for performing indoor and outdoor 3D (Three-Dimensional) seamless positioning and gesture measuring on fire man
CN103995249B (en) A kind of wireless communication system determining object position and method
US8179253B2 (en) Location and tracking system, method and device using wireless technology
CN109195099A (en) A kind of indoor orientation method merged based on iBeacon and PDR
CN106412826A (en) Indoor positioning method and positioning device based on multi-source information fusion
CN102209386A (en) Indoor wireless positioning method and device
CN102927980A (en) Indoor positioning system and indoor positioning method based on three-dimensional multipoint wireless and micro-inertia navigation
CN103561462A (en) Indoor positioning system and method totally based on smart mobile terminal platform
CN109470238A (en) A kind of localization method, device and mobile terminal
CN103033836B (en) navigation pointing method of vehicle navigation pointing device
CN112689235A (en) Positioning method and device based on Bluetooth signals
CN103616025A (en) Three-dimensional field staff positioning navigation system
CN103471586A (en) Sensor-assisted terminal combination positioning method and sensor-assisted terminal combination positioning device
Xuan et al. Making indoor maps with portable accelerometer and magnetometer
CN105180945A (en) Indoor motion trail reconstructing method and system based on mobile intelligent terminal
CN109782317A (en) It is a kind of based on wearable positioning system
CN108139458A (en) For determining the method, apparatus and system in indoor orientation
US11029415B2 (en) Systems and methods for estimating initial heading at start-up of navigation
CN104237846A (en) Autonomous moving object indoor three-dimensional positioning and tracking system and method
Kuusniemi et al. Multi-sensor multi-network seamless positioning with visual aiding

Legal Events

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

Application publication date: 20171027

RJ01 Rejection of invention patent application after publication