CN102421189B - Physical-layer-based method and device for realizing indoor positioning of wireless network - Google Patents
Physical-layer-based method and device for realizing indoor positioning of wireless network Download PDFInfo
- Publication number
- CN102421189B CN102421189B CN201110373217.3A CN201110373217A CN102421189B CN 102421189 B CN102421189 B CN 102421189B CN 201110373217 A CN201110373217 A CN 201110373217A CN 102421189 B CN102421189 B CN 102421189B
- Authority
- CN
- China
- Prior art keywords
- distance
- signal intensity
- signal strength
- state information
- physical layer
- 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.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000005457 optimization Methods 0.000 claims description 18
- 230000004044 response Effects 0.000 claims description 12
- 230000009466 transformation Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 abstract description 16
- 238000010586 diagram Methods 0.000 description 11
- 230000008569 process Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- 238000005562 fading Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 4
- 238000012549 training Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000008030 elimination Effects 0.000 description 2
- 238000003379 elimination reaction Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000001902 propagating effect Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Landscapes
- Position Fixing By Use Of Radio Waves (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The embodiment of the invention discloses a physical-layer-based method and device for realizing indoor positioning of a wireless network. The method comprises the steps of: acquiring the channel state information of a plurality of subcarriers of a target node based on an OFDM (Orthogonal Frequency Division Multiplexing) platform of a physical layer; calculating signal intensity according to the channel state information of the plurality of subcarriers; optimizing a propagation path loss model of an indoor environment according to the signal intensity; calculating the distance between each sending party and each receiving party according to the optimized propagation path loss model; and positioning the target node according to the signal intensity and the distances. In the embodiment of the invention, under the condition that an indoor environment multipath effect is ubiquitous, the precise channel state information is utilized to calculate the signal intensity in the wireless local area network so as to further realize the indoor positioning, the frequency diversity of the channel state information is utilized to reduce multipath attenuation and reduce the influences of the indoor environment multipath effect and frequency selective attenuation, and thus, the position information of the target node can be calculated more precisely and the positioning precision is increased.
Description
Technical field
The present invention relates to wireless communication technology field, relate in particular to a kind of implementation method and device thereof of the wireless network indoor positioning based on physical layer.
Background technology
Along with the fast development of the communication technology and wireless network, people grow with each passing day to the demand of wireless indoor location.For the various services based on locating information are provided to user, indoor positioning, as a focus of Study of location, more and more receives people's concern.WLAN (Wireless Local Area Networks, WLAN) is that a kind of novel information of widespread deployment obtains platform, and as realizing a technology of indoor positioning, the characteristic of its high density, low cost especially possesses competitiveness.But due to the complexity of indoor environment, indoor positioning technology faces significant challenge.How to eliminate this impact, thereby improve the indoor positioning performance of WLAN (wireless local area network), become problem.
Existing most of wireless indoor location technology is the position calculation of carrying out impact point according to the relation of received signal strength and distance in the radiofrequency signal propagation loss model under open environment.As general radio receiver technical indicator, receive intensity indication (the Received Signal Strength Indication of signal, RSSI) value is a measured value to receiving terminal radio-frequency (RF) signal strength, the watt level of indication receiving terminal antenna.The larger representation signal of RSSI value is stronger, otherwise signal is more weak.Theoretically, radiofrequency signal is propagated along independent straight line los path from emission source to receiving terminal, and along with distance increases, receiving end signal intensity can correspondingly weaken.But in the indoor environment of reality complexity, between emission source and receiving terminal, often there are various barriers (ceiling, floor and wall etc.), signal is propagated, usually said multipath effect that Here it is along the path of different non-rectilinear (or reflection).Under this effect, the radiofrequency signal of propagating along various different reflection paths is overlapped or counteracting at receiving terminal, makes received signal strength no longer meet signal propagation losses model.In other words, the method for calculating distance between emission source and receiving terminal by received signal strength according to radiofrequency signal propagation model can produce the inaccurate impact in location.Therefore, utilize the strength indicator value's (RSSI value) that receives signal to go to calculate signal strength signal intensity unreliable.
The existing wireless network location technology based on received signal strength indicator (RSSI) value is as follows: RADAR is first indoor locating system that proposes acknowledge(ment) signal intensity indication (RSSI) value of employing wireless LAN.It has been disposed 802.11 network adapter of a standard and has measured the radio signal strength in multiple base stations, adopts the experimental data of the signal strength measurement of KNN algorithm process off-line phase access point.In addition, it takes into account wall decay factor (WAF) and ground decay factor (FAF) builds a signal propagation model, and RADAR precision is 3 meters; Horus applied probability algorithm is determined target location, and has high accuracy (0.6 meter).Another kind is to have designed the dysgenic indoor locating system that online periodic measurement RSSI value changes to slow down multipath fading and physical environment.This system possesses adaptability to environmental fluctuating, and keeps position error in 3 meters.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, the invention provides a kind of implementation method and device thereof of the wireless network indoor positioning based on physical layer, can effectively reduce the impact of indoor environment multipath, improve the precision of location and reduce costs.
In order to address the above problem, the present invention proposes a kind of implementation method of the wireless network indoor positioning based on physical layer, described method comprises:
OFDM platform based on physical layer obtains the channel condition information of multiple subcarriers of destination node;
The channel condition information of the multiple subcarriers on frequency domain is carried out to invert fast fourier transformation to obtain the channel response in time domain;
The multipath signal of distinguishing from time domain is carried out filtering processing and obtains the straight line sighting distance of described multipath signal;
According to the straight line sighting distance of described channel response and described multipath signal, obtain the sub-carrier channels state information after optimizing;
According to the sub-carrier channels state information after described optimization, calculate signal strength signal intensity;
Obtain the corresponding relation between sub-carrier channels state information and the distance after described optimization;
According to described corresponding relation, the propagation path loss model of indoor environment is optimized;
According to the propagation path loss model after optimizing, calculate each transmit leg and recipient's distance;
According to described signal strength signal intensity and described distance, described destination node is positioned.
Preferably, the described step described destination node being positioned according to described signal strength signal intensity and described distance is: according to described signal strength signal intensity and described distance, by three-point positioning method, described destination node is positioned.
Preferably, the quantity of the channel condition information of described multiple subcarriers is 30.
Preferably, the mode of the described calculating of the channel condition information according to described multiple subcarriers signal strength signal intensity is by the frequency diversity calculating signal strength signal intensity of the channel condition information of described multiple subcarriers.
Correspondingly, the embodiment of the present invention also provides a kind of implement device of the wireless network indoor positioning based on physical layer, and described device comprises:
Acquisition module, obtains the channel condition information of multiple subcarriers of destination node for the OFDM platform based on physical layer;
Signal strength signal intensity is calculated module, for the channel condition information of the multiple subcarriers on frequency domain being carried out to invert fast fourier transformation to obtain the channel response in time domain, the multipath signal of distinguishing from time domain is carried out filtering processing and obtains the straight line sighting distance of described multipath signal, according to the straight line sighting distance of described channel response and described multipath signal, obtain the sub-carrier channels state information after optimizing, according to the sub-carrier channels state information after described optimization, calculate signal strength signal intensity;
Optimize module, for obtaining the corresponding relation between sub-carrier channels state information and the distance after described optimization, according to described corresponding relation, the propagation path loss model of indoor environment is optimized;
Distance calculation module, calculates each transmit leg and recipient's distance for the propagation path loss model after optimizing according to described optimization module;
Locating module, positions described destination node for calculate the distance that signal strength signal intensity that module calculates and described distance calculation module calculate according to described signal strength signal intensity.
Preferably, described locating module is for positioning described destination node by three-point positioning method according to described signal strength signal intensity and described distance.
In embodiments of the present invention, in the ubiquitous situation of indoor environment multipath effect, in WLAN (wireless local area network), utilize accurately channel condition information to calculate signal strength signal intensity and then carry out indoor positioning, utilize the frequency diversity of channel condition information to reduce multipath fading, reduce the impact of typical indoor environment multipath effect and frequency selective attenuation, can calculate more accurately destination node location information, improve positioning precision.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the sub-carrier channels status information transmission schematic diagram of the embodiment of the present invention;
Fig. 2 is the schematic diagram of location of the present invention implementation procedure;
Fig. 3 is the schematic flow sheet of the implementation method of the wireless network indoor positioning based on physical layer of the embodiment of the present invention;
Fig. 4 is the multifarious schematic diagram of the sub-carrier channels state information of the embodiment of the present invention;
Fig. 5 is the elimination time domain multipath effect schematic diagram in the embodiment of the present invention;
Fig. 6 is the structure composition schematic diagram of the intelligent gateway of the embodiment of the present invention;
Fig. 7 is the schematic diagram of the collection sub-carrier channels state information of the embodiment of the present invention;
Fig. 8 is the structure composition schematic diagram of the implement device of the wireless network indoor positioning based on physical layer of the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Below the principle that realizes of the embodiment of the present invention is described in detail.Most WLAN (wireless local area network) adopts IEEE802.11a/g/n standard so that wireless communication services to be provided.These standards are orthogonal frequency division multiplexi (the Orthogonal Frequency Division Multiplexing based on physical layer, OFDM), its main thought is: at transmit leg, by a channel Orthogonal Decomposition, be several meticulousr positive jiao zi channels, also referred to as subcarrier, convert high-speed data signal to parallel low speed sub data flow, be modulated on each subcarrier and transmit.This makes to obtain recipient the channel condition information (Channel State Information, CSI) of several subcarriers simultaneously, as shown in Figure 1.CSI is the channel condition information that represents the communication link characteristic of channel.CSI describes and has reflected the spread state of radiofrequency signal from emission source to receiving terminal, as scattering, reflection and decay etc.Channel condition information on subcarrier can reflect the size of signal strength signal intensity on each different frequency.Be different from traditional mean value that obtains each frequency signal intensity from a bag, in embodiments of the present invention, can get more meticulous signal strength signal intensity indication.
Specific implementation principle of the present invention is mainly: first, from wireless network physical layer labor, cause received signal strength indicator (RSSI) to be worth inaccurate reason, be included in reflection loss and the multipath effect of signal under complex indoor environment, thereby further seek more accurately channel information again to evaluate and test signal strength signal intensity; Secondly, the meticulousr channel condition information based on physical layer calculates signal strength signal intensity, improves the propagation path loss model of indoor environment, and calculates distance according to model.Location of the present invention implementation procedure can be referring to Fig. 2.
Fig. 3 is the schematic flow sheet of the implementation method of the wireless network indoor positioning based on physical layer of the embodiment of the present invention, and as shown in Figure 3, the method comprises:
S301, the OFDM platform based on physical layer obtains the channel condition information of multiple subcarriers of destination node;
S302, calculates signal strength signal intensity according to the channel condition information of multiple subcarriers;
S303, according to the propagation path loss model of signal strength optimization indoor environment;
S304, calculates each transmit leg and recipient's distance according to the propagation path loss model after optimizing;
S305, positions destination node according to signal strength signal intensity and distance.
Further, S302 comprises:
Invert fast fourier transformation by OFDM is optimized and obtains the sub-carrier channels state information after optimization to channel condition information; According to the sub-carrier channels state information after optimizing, calculate signal strength signal intensity.
In concrete enforcement, the step that by the invert fast fourier transformation of OFDM, channel condition information is optimized and is obtained the sub-carrier channels state information after optimization comprises:
The channel condition information of the multiple subcarriers on frequency domain is carried out to invert fast fourier transformation to obtain the channel response in time domain; The multipath signal of distinguishing from time domain is carried out filtering processing and obtains the straight line sighting distance of multipath signal; According to the straight line sighting distance of channel response and multipath signal, obtain the sub-carrier channels state information after optimizing.
Fig. 4 shows the multifarious schematic diagram of the sub-carrier channels state information of the embodiment of the present invention, the diversity of Fig. 4 descriptor carrier channel information, the amplitude difference of each sub-carrier channels state information, be reflected as the received power difference of different sub carrier in figure, can utilize frequency diversity to reduce decay (Small-scale fading) on a small scale.In concrete enforcement, can be by the amplitude of each subcarrier is given to frequency as weights, calculate weighted average square, obtain received power.Below in conjunction with Fig. 4, the S302 of the method is further illustrated.
In the transmitting procedure of ofdm system packet, signal directly outputs in decoder and is for further processing through demodulation meeting.By revising system kernel, utilize commercial wireless network card cheaply to obtain the channel condition information of each subcarrier after demodulation, thereby calculate corresponding signal strength signal intensity.For the frequency diversity of carrier signal state information, in the invert fast fourier transformation (IFFT) of OFDM is processed, the corresponding filtering method of combination is to obtain more effective sub-carrier channels state information (Effective CSI).Detailed process is as follows: (1) by the channel condition information of several subcarriers on frequency domain (channel response) is carried out to inverse-Fourier transform, thereby obtains the channel response in time domain; (2) because 802.11 channel width is wider, thereby can distinguish part multipath signal from time domain, by filtering processing, can reduce the impact of multipath effect, thereby improve the precision of location.Elimination time domain multipath effect schematic diagram in the embodiment of the present invention as shown in Figure 5.In typical indoor environment, due to the ubiquity of multipath effect, receive the signal combination of straight line sighting distance and multipath reflection often.In theory, when bandwidth ratio coherence bandwidth is large, thereby these reflections can be eliminated and obtain straight line sighting distance.The bandwidth of 802.11n meets this restriction requirement, thereby can reach the effect of eliminating multi-path influence.
In concrete enforcement, S303 further comprises:
Obtain the corresponding relation between sub-carrier channels state information and the distance after optimization; According to corresponding relation, the propagation path loss model of indoor environment is optimized.
Using the channel condition information after optimization process as input, according to the algorithm of design, the environmental coefficient under varying environment and path loss coefficient are carried out to training process, further obtain the corresponding relation between channel condition information and the distance after optimization, thereby improve the signal propagation path loss model under indoor environment.Because environmental coefficient and path loss coefficient are consistent under specific environment, for different indoor environments, only need to carry out one time training process, and utilize different distances to carry out multiple authentication repeatedly, to guarantee to improve the correctness of rear model.In addition, the training process of environmental coefficient and path loss coefficient is completed online, the training time of expection can be limited in an acceptable timeslice.Therefore, need to build respectively experiment porch for varying environment, algorithm for design is constantly measured and processes path loss parameter, and signal propagation model is revised in real time.
In concrete enforcement, S305 is: according to signal strength signal intensity and distance, by three-point positioning method, destination node is positioned.
Relation based on effective channel condition information and distance and revised wireless signal propagation model design brand-new WLAN (wireless local area network) indoor locating system.This navigation system is comprised of two parts: the recipient that the transmit leg that multiple WAP (wireless access point) form and destination node to be positioned form.At transmit leg, the wireless access positional information of naming a person for a particular job sends to destination node from network layer by the mode of signal transmission.The extensive existence of WAP (wireless access point) can obtain the positional information of multiple wireless network access points quickly and easily.Recipient, can obtain from physical layer the channel condition information of subcarrier, according to the signal propagation path loss model after improving, calculate respectively the distance of each transmit leg to recipient, and adopt simple and effective three-point fox method to position destination node.As shown in Figure 6, the coordinate of supposing three transmit legs in Fig. 6 is respectively A (x1, y1), B (x2, y2), C (x3, y3), recipient O coordinate to be positioned is O (x, y), known this o'clock is respectively d1, d2, d3 to the distance of three transmit leg coordinate points, and available trilateration calculates the coordinate that O is ordered, and obtains recipient's positional information.
In concrete enforcement, recipient can be equipped with 802.11n wireless network card, can obtain the channel condition information of 30 subcarriers simultaneously.
In embodiments of the present invention, in the ubiquitous situation of indoor environment multipath effect, in WLAN (wireless local area network), utilize accurately channel condition information to calculate signal strength signal intensity and then carry out indoor positioning, utilize the frequency diversity of channel condition information to reduce multipath fading, reduce the impact of typical indoor environment multipath effect and frequency selective attenuation, can calculate more accurately destination node location information, improve positioning precision.
In addition, Fig. 7 shows the schematic diagram of the collection sub-carrier channels state information of the embodiment of the present invention, as shown in Figure 7, rely on this hardware of wireless network card, the network interface card of retouching operation system drives, and can collect channel condition information, and by API, channel condition information be offered to user.
Fig. 8 is the structure composition schematic diagram of the implement device of the wireless network indoor positioning based on physical layer of the embodiment of the present invention, and as shown in Figure 8, this device comprises:
Signal strength signal intensity is calculated module 81, for the channel condition information of multiple subcarriers of obtaining according to acquisition module 80, calculates signal strength signal intensity;
Locating module 84, positions destination node for calculate the distance that the signal strength signal intensity calculated of module 81 and distance calculation module 83 calculate according to signal strength signal intensity.
Further, signal strength signal intensity is calculated module 81 and also for the invert fast fourier transformation by OFDM, channel condition information is optimized and is obtained the sub-carrier channels state information after optimization; And calculate signal strength signal intensity according to the sub-carrier channels state information after optimizing.
Further, locating module 84 is for positioning destination node by three-point positioning method according to signal strength signal intensity and distance.
The implementation procedure of each functions of modules of the implement device of the wireless network indoor positioning based on physical layer in apparatus of the present invention embodiment and principle can be described referring to the respective process in the embodiment of the implementation method of the wireless network indoor positioning based on physical layer of the present invention, repeat no more here.
In apparatus of the present invention embodiment, in the ubiquitous situation of indoor environment multipath effect, in WLAN (wireless local area network), utilize accurately channel condition information to calculate signal strength signal intensity and then carry out indoor positioning, utilize the frequency diversity of channel condition information to reduce multipath fading, reduce the impact of typical indoor environment multipath effect and frequency selective attenuation, can calculate more accurately destination node location information, improve positioning precision.
One of ordinary skill in the art will appreciate that all or part of step in the whole bag of tricks of above-described embodiment is can carry out the hardware that instruction is relevant by program to complete, this program can be stored in a computer-readable recording medium, storage medium can comprise: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), disk or CD etc.
In addition, implementation method and the device thereof of the wireless network indoor positioning based on the physical layer above embodiment of the present invention being provided are described in detail, applied specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment is just for helping to understand method of the present invention and core concept thereof; , for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention meanwhile.
Claims (6)
1. an implementation method for the wireless network indoor positioning based on physical layer, is characterized in that, described method comprises:
OFDM platform based on physical layer obtains the channel condition information of multiple subcarriers of destination node;
The channel condition information of the multiple subcarriers on frequency domain is carried out to invert fast fourier transformation to obtain the channel response in time domain;
The multipath signal of distinguishing from time domain is carried out filtering processing and obtains the straight line sighting distance of described multipath signal;
According to the straight line sighting distance of described channel response and described multipath signal, obtain the sub-carrier channels state information after optimizing;
According to the sub-carrier channels state information after described optimization, calculate signal strength signal intensity;
Obtain the corresponding relation between sub-carrier channels state information and the distance after described optimization;
According to described corresponding relation, the propagation path loss model of indoor environment is optimized;
According to the propagation path loss model after optimizing, calculate each transmit leg and recipient's distance;
According to described signal strength signal intensity and described distance, described destination node is positioned.
2. the implementation method of the wireless network indoor positioning based on physical layer as claimed in claim 1, is characterized in that, the described step described destination node being positioned according to described signal strength signal intensity and described distance is:
According to described signal strength signal intensity and described distance, by three-point positioning method, described destination node is positioned.
3. the implementation method of the wireless network indoor positioning based on physical layer as claimed in claim 1, is characterized in that, the quantity of the channel condition information of described multiple subcarriers is 30.
4. the implementation method of the wireless network indoor positioning based on physical layer as claimed in claim 1, it is characterized in that, the mode that the described channel condition information according to described multiple subcarriers calculates signal strength signal intensity is by the frequency diversity calculating signal strength signal intensity of the channel condition information of described multiple subcarriers.
5. an implement device for the wireless network indoor positioning based on physical layer, is characterized in that, described device comprises:
Acquisition module, obtains the channel condition information of multiple subcarriers of destination node for the OFDM platform based on physical layer;
Signal strength signal intensity is calculated module, for the channel condition information of the multiple subcarriers on frequency domain being carried out to invert fast fourier transformation to obtain the channel response in time domain, the multipath signal of distinguishing from time domain is carried out filtering processing and obtains the straight line sighting distance of described multipath signal, according to the straight line sighting distance of described channel response and described multipath signal, obtain the sub-carrier channels state information after optimizing, according to the sub-carrier channels state information after described optimization, calculate signal strength signal intensity;
Optimize module, for obtaining the corresponding relation between sub-carrier channels state information and the distance after described optimization, according to described corresponding relation, the propagation path loss model of indoor environment is optimized;
Distance calculation module, calculates each transmit leg and recipient's distance for the propagation path loss model after optimizing according to described optimization module;
Locating module, positions described destination node for calculate the distance that signal strength signal intensity that module calculates and described distance calculation module calculate according to described signal strength signal intensity.
6. the implement device of the wireless network indoor positioning based on physical layer as claimed in claim 5, is characterized in that, described locating module is for positioning described destination node by three-point positioning method according to described signal strength signal intensity and described distance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110373217.3A CN102421189B (en) | 2011-11-22 | 2011-11-22 | Physical-layer-based method and device for realizing indoor positioning of wireless network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110373217.3A CN102421189B (en) | 2011-11-22 | 2011-11-22 | Physical-layer-based method and device for realizing indoor positioning of wireless network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102421189A CN102421189A (en) | 2012-04-18 |
| CN102421189B true CN102421189B (en) | 2014-04-30 |
Family
ID=45945356
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110373217.3A Expired - Fee Related CN102421189B (en) | 2011-11-22 | 2011-11-22 | Physical-layer-based method and device for realizing indoor positioning of wireless network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102421189B (en) |
Families Citing this family (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102984745B (en) * | 2012-11-29 | 2014-12-31 | 清华大学深圳研究生院 | Combined estimation method for Wi-Fi AP (wireless fidelity access point) position and path loss model |
| US9310465B2 (en) * | 2012-12-27 | 2016-04-12 | Intel Corporation | Systems and methods for reducing variations in received signal strength indicator (RSSI) measurements for location sensing |
| CN103606248B (en) * | 2013-09-30 | 2016-08-10 | 广州市香港科大霍英东研究院 | A kind of falling over of human body automatic testing method and system |
| CN104754734A (en) * | 2013-12-31 | 2015-07-01 | 电信科学技术研究院 | Positioning method, device and system |
| CN104049280B (en) * | 2014-07-01 | 2017-11-24 | 北京华信傲天网络技术有限公司 | Method and device based on the movement of radio-frequency signal detection object |
| CN104168650A (en) * | 2014-09-03 | 2014-11-26 | 广州市香港科大霍英东研究院 | Indoor positioning method based on dynamic wireless access points |
| CN104467991B (en) * | 2014-12-03 | 2017-04-05 | 无锡儒安科技有限公司 | A kind of passive personnel's detection method and system based on WiFi physical layer informations |
| CN104812061B (en) * | 2015-03-24 | 2019-03-22 | 成都希盟泰克科技发展有限公司 | A kind of indoor ranging and localization method based on MIMO-OFDM channel state information |
| CN106646363A (en) * | 2016-12-09 | 2017-05-10 | 锐捷网络股份有限公司 | Positioning method and positioning equipment |
| CN107422316A (en) * | 2017-04-10 | 2017-12-01 | 东南大学 | A kind of wireless object localization method based on multifrequency point signal intensity |
| CN107091642B (en) * | 2017-05-15 | 2020-06-02 | 东南大学 | Indoor positioning method based on different-plane anchor node mapping and rasterization deviation rectification |
| CN108242946A (en) * | 2018-01-05 | 2018-07-03 | 中国矿业大学 | A kind of coal mine down-hole tunnel object localization method based on MIMO-OFDM technologies |
| CN112804693B (en) * | 2019-11-14 | 2024-06-25 | 华为技术有限公司 | Method and device for measuring intermediate object state information |
| US11743738B2 (en) | 2020-03-05 | 2023-08-29 | Comcast Cable Communications, Llc | Evaluation of access point placement |
| CN113423097B (en) * | 2020-08-20 | 2024-06-21 | 阿里巴巴集团控股有限公司 | Positioning method and device based on RFID and electronic equipment |
| CN112672284A (en) * | 2020-12-28 | 2021-04-16 | 超讯通信股份有限公司 | Indoor multidimensional positioning method and device |
| CN115494489A (en) * | 2022-11-21 | 2022-12-20 | 蔚来汽车科技(安徽)有限公司 | Ranging method, medium, and electronic device based on radio signal reception intensity |
| CN115656645B (en) * | 2022-12-12 | 2023-03-21 | 北京中超伟业信息安全技术股份有限公司 | System and method for improving shielding performance |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101394676A (en) * | 2008-10-29 | 2009-03-25 | 西安大唐电信有限公司 | Method for realizing precise geometrical positioning in wireless network |
-
2011
- 2011-11-22 CN CN201110373217.3A patent/CN102421189B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101394676A (en) * | 2008-10-29 | 2009-03-25 | 西安大唐电信有限公司 | Method for realizing precise geometrical positioning in wireless network |
Non-Patent Citations (2)
| Title |
|---|
| C.Ladha, B.S Sharif, C.C Tsimenidis.Mitigating propagation errors for indoor positioning in wireless sensor networks.《IEEE Mobile Adhoc and Sensor Systems》.2007,全文. |
| Mitigating propagation errors for indoor positioning in wireless sensor networks;C.Ladha, B.S Sharif, C.C Tsimenidis;《IEEE Mobile Adhoc and Sensor Systems》;20071011;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102421189A (en) | 2012-04-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102421189B (en) | Physical-layer-based method and device for realizing indoor positioning of wireless network | |
| Xu et al. | Pyramid: Real-time lora collision decoding with peak tracking | |
| CN110418977A (en) | Control radio state used in motion detection | |
| CN104469941A (en) | Indoor wireless locating method based on wireless local area network WLAN OFDM signal cyclic prefix | |
| US9706358B2 (en) | Distance determination of a mobile device | |
| CN101272605A (en) | Mobile terminal locating method and positioning device | |
| CN105301560B (en) | A kind of dynamic weighting evolution positioning system and method based on 2 point RSSI | |
| CN102647785A (en) | Method for distinguishing wireless transmission multipath in wireless signal strength ranging technology | |
| CN105676179A (en) | 433MHz signal based indoor positioning method and system | |
| CN101854716B (en) | Node locating method and communication device | |
| CN102035766B (en) | Maximum Doppler frequency shift estimation method and device | |
| CN102215564A (en) | Method and system for positioning wireless sensor network | |
| CN105911520A (en) | Moving object-reflected wireless signal identifying method | |
| CN103592624B (en) | A kind of distance-finding method based on received signal strength | |
| Mahjoub et al. | Composite $\alpha-\mu $ Based DSRC Channel Model Using Large Data Set of RSSI Measurements | |
| CN106646363A (en) | Positioning method and positioning equipment | |
| Machaj et al. | Impact of optimization algorithms on hybrid indoor positioning based on GSM and Wi‐Fi signals | |
| Speiran et al. | Understanding the effect of physical parameters on packet loss in Veins VANET simulator | |
| Fujiwara et al. | TOA/TDOA hybrid relative positioning system using UWB-IR | |
| CN105652236A (en) | ZigBee technology-based market indoor wireless positioning method and system | |
| Tian et al. | MIMO CSI-based super-resolution AoA estimation for Wi-Fi indoor localization | |
| CN102448097B (en) | Method and device for constructing test environment of peer-to-peer external field | |
| Cipov et al. | Cooperative trilateration-based positioning algorithm for wlan nodes using round trip time estimation | |
| Berkvens et al. | Comparing 433 and 868 MHz Active RFID for indoor localization using multi-wall model | |
| Machaj et al. | Impact of radio map simulation on positioning in indoor environtment using finger printing algorithms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140430 |