WO2001072060A1 - Location determination using rf fingerprinting - Google Patents
Location determination using rf fingerprinting Download PDFInfo
- Publication number
- WO2001072060A1 WO2001072060A1 PCT/US2001/009253 US0109253W WO0172060A1 WO 2001072060 A1 WO2001072060 A1 WO 2001072060A1 US 0109253 W US0109253 W US 0109253W WO 0172060 A1 WO0172060 A1 WO 0172060A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- fingeφrints
- location
- fingeφrint
- mobile unit
- multiplicity
- Prior art date
Links
Classifications
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0205—Details
- G01S5/0236—Assistance data, e.g. base station almanac
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0252—Radio frequency fingerprinting
- G01S5/02521—Radio frequency fingerprinting using a radio-map
- G01S5/02524—Creating or updating the radio-map
- G01S5/02525—Gathering the radio frequency fingerprints
- G01S5/02526—Gathering the radio frequency fingerprints using non-dedicated equipment, e.g. user equipment or crowd-sourcing
Definitions
- the present invention relates generally to telecommunications, and more specifically to wireless communication systems.
- MU commiinicating Mobile Unit
- Various systems for locating are already well known.
- One solution that is readily available in most modern cellular systems is to use the ID of the cell from which the MU is communicating. Typically, this information is accurate to a resolution of several miles.
- a second solution is to compute the location of the MU based on the cellular network signaling parameters (angle of arrival or time difference of arrival). This information is typically accurate to hundreds of meters.
- Yet another solution is to equip the MU with a GPS receiver which then attempts to track the location of the MU as accurately as possible. Typically, GPS receivers can compute locations to within several tens of meters of accuracy. When combined with differential corrections, the GPS accuracy can be improved.
- the cell ID information is the most reliable, and is guaranteed to be available as long as the cellular network is functioning normally.
- the network signal based location computations are less reliable, since they are dependent on several conditions being true at the time of the call. For example, most schemes require the MU to have line-of-sight visibility to multiple cellular base stations. This is not always possible. GPS based location computation is also not always reliable since the MU may be in an environment where there is no penetration of the GPS satellite signals.
- the present invention provides a method for determining the location of a mobile unit (MU) in a wireless commuriication system and presenting it to a remote party.
- MU mobile unit
- location of a remote MU is determined by comparing a snapshot of a predefined portion of the radio-frequency (RF) spectrum taken by the MU to a reference database containing multiple snapshots taken at various locations. The result of the comparison is used to determine if the MU is at a specific location. The comparison may be made in the MU, or at some other location situated remotely from the MU. In the latter case, sufficient information regarding the captured fingerprint is transmitted from the MU to the remote location.
- the database may be pre-compiled or generated on-line.
- the invention also provides methods for generating an RF fingerprint database.
- Fig. 1 shows a representative wireless communication system
- Fig. 2 is a high level diagram of the Mobile Unit
- Fig. 3 is a flow diagram of the position determining process employed by this invention.
- Fig. 4 is a block diagram showing the technique for implementing corrections for co-channel and adjacent-channel interference
- Fig. 5 is a block diagram describing the technique for calibrating the predicted fingerprint database using field measurements
- Fig. 6 is a block diagram showing the operation of the recursive processing Markov algorithm
- Fig. 7 describes the Markov transition probabilities
- Fig. 8 is a block diagram showing the operation of the multiple hypothesis testing algorithm
- Fig. 9 is an illustration of the organization of the fingerprint data.
- Fig. 10 is an illustration of the organization of the fingerprint database. DESCRIPTION OF SPECIFIC EMBODIMENTS
- the present invention provides a new method for determining the location estimate of a Mobile Unit (MU) in a wireless com nunication network.
- MU Mobile Unit
- Fig. 1 is a high level block diagram of a wireless communication network.
- a Mobile Unit 10 has a connection with a wireless network 15, which in turn is connected to an Other Party 30.
- the Other Party may or may not be mobile.
- the location of the MU is of interest to the Other Party for several reasons such as provisioning of prompt and efficient personalized services, dispatching emergency assistance personnel, tracking the movements of the MU, etc.
- the MU could be equipped with a GPS receiver.
- the wireless network could be equipped to determine the location of MU 10.
- the network could monitor the time of arrival of signals from the MU at various nodes and from that information determine its location. Again, such techniques are well known to one skilled in the art.
- the present invention provides a new method for determining the location of MU 10 which (a) works in areas where GPS coverage is not typically available, and (b) does not require any infrastructure modifications.
- the present invention complements existing location determining technologies and, when used in conjunction with them, augments their performance.
- Spectral fingerprint in this context is defined as a predetermined combination of observable RF spectral parameters. For instance, observed signal strength of a predetermined set of signals in the RF spectrum constitutes a fingerprint.
- RF Radio Frequency
- MU 10 is equipped with circuitry and software that is capable of capturing information from predetermined portions of the RF spectrum.
- the predetermined portions of the RF spectrum all fall within or in close proximity to the same band as that utilized by the wireless communication network. In such an instance the same hardware circuitry can be used for performing both functions. In another embodiment the predetermined portions of the RF spectrum are different from the wireless communication band and in such an instance additional circuitry is required.
- the MU may use signal characteristics from the television UHF band, in which case it will require a television tuner capable of capturing the appropriate television chaimels.
- the MU is equipped with a tuner designed to capture AM or FM radio broadcasts. In this case the MU is equipped with a radio capable of tuning to the appropriate radio broadcasting bands.
- Fig. 2 shows the MU containing a component 101 for tuning to a predetermined portion of the RF spectrum. Also included is a communication component 105 for communicating information with the Other Party over an existing wireless infrastructure. Component 101 obtains information from the RF spectrum via an Antenna 102.
- the communication link between the MU and Other Party is through the base stations and base station controllers of the cellular network.
- data is communicated in both directions between the MU and Other Party by using the Short Messaging System (SMS) of the network.
- SMS Short Messaging System
- Other Party 30 is interested in only determining if MU 10 is at a particular location or not.
- the resolution of knowing the MU's location is not high (e.g., several meters), but much coarser, such as of the order of several tens of meters.
- Other Party 30 may be interested in knowing if MU 10 is inside a particular building, or a campus or a block. In such cases it is not necessary to provide very high-resolution information to Other Party 30.
- a location estimate of the MU When a location estimate of the MU is desired (either by itself or by the Other Party), it activates component 101 (Fig. 2), which, captures predetermined information from a predetermined portion of the RF spectrum. Instructions regarding what information to capture and the portion of the RF spectrum from which to capture may be either pre-programmed in the MU, or generated in real time. In the latter case, it may be generated in the MU, or downloaded into the MU from the Other Party over the wireless network. The MU may capture multiple pieces of information or from multiple portions of the spectrum.
- the spectral fingerprint may be generated using many different parameters, either individually or in combination.
- signal strength is used.
- phase information is used.
- identity of the received signals e.g., frequency
- identity of the signal source e.g., channel number or station code
- geographic locations of the transmitters from which the signals originate are used.
- a mobile cellular channel is in general frequency selective, i.e., its properties vary over the bandwidth used. The variation depends on the environment, because of multipath signals arriving at different delays. For a GSM signal with a bandwidth about 250 kHz, the dispersion can be felt in urban and hilly environments. It causes inter-symbol-interference, which results in digital errors unless corrected. The time dispersion is often expressed as the delay spread or the standard deviation of the impulse response.
- the remedy in a receiver is to have an equalizer, typically a transversal filter with some taps that can be adjusted. This filter will remove the inter- symbol-interference. The filter's tap values depend on the environment and impulse response, and thus in principle add additional information to the RF fingerprint.
- the bandwidth is more than 10 times higher, of the order 4-5 MHz.
- the resolution power is thus much higher, and the various filter taps contain much more information.
- the spectral characteristics within the used bandwidth (and not just individual center frequencies), as measured by the equalizer filter, will be included in the RF fingerprint.
- the MU is equipped with the appropriate circuitry and software to capture the required signals and their parameters.
- the MU has an antenna that is designed to have a bandwidth spanning a large portion of the VHF and UHF spectrum, e.g., from 70 MHz to 1 GHz.
- the MU has an antenna that is designed to capture only a narrowband of the spectrum. Such an antenna may be cheaper to implement and unobtrusive.
- the MU is equipped with appropriate circuitry to determine the strength of the received signal. In one instance the location of the transmitter is broadcast in the signal and is extracted in the MU.
- the MU is instructed by the Other Party to scan selected portions of the spectrum and capture selected parameters from the received signals.
- the Other Party determines which portions of the spectrum to scan and what parameters to capture based on other information it has received or generated regarding the MU. For example, in one instance the Other Party knows the approximate location of the MU by receiving identity of the (wireless communication network) cell that the MU is in at that time. By looking up a database the Other Party can determine the geographic location of the cell. The Other Party then determines which signals in the vicinity of said cell are most suitable for generating a fingerprint. For example, certain television signals may have better coverage of the cell than other signals. The Other Party then transmits this information (e.g., television channel numbers) to the MU via the wireless link requesting it to scan only those selected signals.
- this information e.g., television channel numbers
- the MU determines which portion of the spectrum to scan, and what parameters to use for generating the fingerprint.
- the MU After the MU captures the appropriate signals and extracts the parameters, it has the basic information for generating the fingerprint. Some preprocessing may be required to refine the raw data. For example, signal strengths may have to be lower and upper limited to eliminate very weak and very strong signals.
- the fingerprint is generated, its association with a certain location has to be determined. According to this invention this is done by utilizing a fingerprint database that contains a number of fingerprints along with their corresponding location identities.
- the database is stored in the MU.
- the generated fingerprint is compared with the fingerprints in the database and the fingerprint in the database that is closest to the generated fingerprint is selected as the match.
- the corresponding location in the database is then chosen as the location of the MU.
- the search algorithm takes more than one fingerprint from the database that are closest to the generated fingerprint and interpolates the most plausible location for the MU from the locations of the chosen fingerprints.
- the fingerprint database is stored at the Other Party and the generated fingerprint (in the MU) is transmitted to the Other Party over the wireless link. The search for the closest fingerprint is then done in the Other Party from which it determines the location of the MU.
- Fig. 3 depicts the flow of events in this case.
- a request for position of the MU is generated, as shown in box 301.
- the request may be generated by the user carrying the MU, or remotely by the Other Party.
- the MU captures the fingerprint of its current location (box 303).
- the captured fingerprint is processed appropriately. Processing may include filtering the fingerprint data and reformatting it to reduce its storage space.
- the fingerprint is transmitted over the wireless link to the Other Party as shown in box 305.
- the Other Party has a database into which it executes a search for the closest matching fingerprint, as shown in box 307.
- Box 309 shows the process culminating in the retrieval of the best matching fingerprint along with its corresponding location. In one embodiment the search also returns a confidence measure that depicts the closeness of the match.
- the fingerprint database is designed to compensate for any co-channel and adjacent-channel interference measured by the mobile unit (MU).
- This channel interference can result from either control channels or traffic channels.
- corrections for channel interference will be required. These interference corrections are calculated and updated off-line using RF prediction models (the same models employed to generate the original fingerprint database) and the wireless carrier's frequency/channel allocation plan (FCAP).
- the interference corrections are implemented in the fingerprint database, which is stored in the Other Party (i.e., Location Server).
- Fig. 4 describes the data flow and processing requirements for this technique.
- the data required from the wireless carrier's FCAP is as follows: cell global identifiers, frequency identifiers for the assigned base station control channels, and frequency identifiers for the assigned traffic channels.
- Co-channel interference sources are identified using the FCAP to identify base stations that are assigned the same frequency channel; the corrected signal strengths in each channel are then calculated.
- Adjacent-channel interference sources are identified using the FCAP to identify base station pairs that are assigned adjacent frequency channels; the corrected signal strengths are then calculated by also using the MU's filter discrimination ratio.
- the resulting interference-corrected fingerprints are stored in the fingerprint database.
- the fingerprint database is generated by computer calculations with RF prediction models using certain parameters which depend on the type of buildings, terrain features, time of the day, environmental and seasonal conditions, etc.
- the calculations are based upon theoretical models which have general applicability, but can not consider all the details in the real world.
- the accuracy of the fingerprint database can be enhanced by comparing the model predictions with field measurements as shown in Fig. 5.
- the adaptation algorithm analyzes the nature of the difference between the predicted and measured fingerprints and determines the best way of changing the model parameters to reduce the difference. Since the database consists of multiple frequencies, the difference is a multi-dimensional vector. The minimization of the difference can use a combination of advanced computational techniques based upon optimization, statistics, computational intelligence, learning, etc.
- the adaptation algorithm also determines what measurements to collect to best calibrate the RF prediction model. Instead of collecting all measurements, only measurements that can provide the maximal information to support reduction of the prediction errors are collected. The specific choice of measurements to collect is based upon an analysis of the nature of the error and the desired accuracy of the prediction model. The algorithm determines not just the locations for measurement collection, but also the time of collection, and the number of measurement samples needed to achieve a certain degree of accuracy based upon statistical considerations.
- Support Vector Machines for Regression or Regularized Regression can be used to learn each mapping of position versus fingerprint (measured or predicted signal strengths). Position will be used as the input value, while signal strength will be used as the target value. The complete grid of locations for the cellular service area will be used as training data. The final result is a learned relationship between position and signal strength for each mapping so that, given an arbitrary position, the corresponding signal strength is obtained for each particular frequency channel.
- the inputs of the training step are a set of positions matched with the corresponding signal strengths, and the fingerprint measurements whose information should be considered in the learning process are added to the training set.
- the machine is then re-trained and a new grid is generated for the database, to replace the old one.
- the fingerprint database is designed to take into account any dynamic, but predetermined, variations in the RF signal characteristics. For example, it is not uncommon that some AM radio broadcast stations lower their transmitter power at night to minimize interference with other stations. In some countries this is mandated by law. If signal strength is one of the parameters used for generating the fingerprint, then it is essential that the dynamic change in transmitted power be taken into consideration before any decision is made. According to this aspect of the invention, the fingerprint database and the decision algorithms are designed to accommodate such dynamic changes. Since the change pattern in signal characteristics is predetermined, the database is constructed by capturing the fingerprints at different times so as to cover all the different patterns in the transmitted signals. The time at which a fingerprint was captured is also stored along with its location identity.
- the search algorithm chooses the fingerprint from the database that has the smallest mathematical distance between itself and the captured fingerprint.
- the mathematical distance is defined as a norm between the two data sets. For example, it could be the average squared difference between the two fingerprints.
- the search algorithm also has built in heuristics that make the best possible decision in case none of the fingerprints in the database matches well with the generated fingerprint.
- MU Mobile unit
- a dynamic location technique which is based on Markov theory and exploits the time history of the measured fingerprints, is described in Figs 6 and 7.
- the procedure uses a predicted fingerprint model and a time series of fingerprint measurements from the MU to calculate the probability distribution of the MU's location.
- the probability distribution is then used to compute an estimate of the current location of the MU using one of several statistical methods.
- the processing algorithm is recursive and uses a predefined array of possible locations.
- the algorithm When the algorithm has processed the time series of fingerprint measurements currently available, it will have calculated the probability that the MU is at each point in the array of possible locations (the updated probability distribution).
- This probability distribution is the basic state of the algorithm that incorporates all of the information that has been collected on the MU up to the current time.
- the algorithm uses its knowledge of the possible motions of the MU during the time period between the last measurement and the new measurement to predict a new location probability distribution (the predicted distribution).
- This prediction algorithm is based on a Markov process model, which uses the probability that the unit is at each location and the probability that it will transition from one location to another to calculate the probability that it will be at each location at the next measurement time (see Fig. 7).
- the algorithm uses the predicted signature model and the new signature measurement to calculate a location probability distribution based on the new measurement alone. This probability distribution is then combined with the predicted distribution to produce a new updated distribution that now incorporates the information provided by the new measurement.
- the algorithm starts with an initial probability distribution that assumes that the MU is equally likely to be at any location in the cell for the base station handling the call.
- the location probability distribution (either updated or predicted) may be used to compute an estimate of the MU's location whenever such an estimate is needed.
- the basic algorithm calculates both the expected location and the most probable location, but other location statistics (as deemed appropriate) could also be calculated from the location probability distribution.
- the location estimate may be calculated for either the time of the last fingerprint measurement (which yields a filtered estimate) or for some time before the last fingerprint measurement (which yields a smoothed estimate).
- the smoothed estimate is more accurate than the filtered estimate, because it uses more information (i.e., some number of subsequent measurements). However, the smoothed estimate requires both a larger state and more computation than the filtered estimate.
- Matching the measured fingerprints to the fingerprint database may yield multiple location possibilities in the presence of measurement and modeling errors.
- a single hypothesis approach that selects the best location estimate for the MU using only the current measured fingerprint is likely to produce erroneous results.
- a multiple hypothesis testing technique uses measured fingerprints from multiple times, the fingerprint database, and MU motion constraints to generate multiple hypotheses for MU locations over time and then selects the best hypothesis based upon statistical measures.
- the measured fingerprints are compared with the fingerprint database to generate possible MU location hypotheses.
- these hypotheses are updated with the latest measurements to form new hypotheses.
- the number of hypotheses is reduced by considering only those locations that are consistent with the previous location hypotheses.
- a previous location hypothesis may yield multiple new hypotheses because of possible new locations. However, some previous location hypotheses may not have consistent new locations based on the new measurements.
- a hypothesis evaluation algorithm then assigns a score to each of the updated location hypotheses. This score measures how well the locations at different times in the hypothesis are consistent with reasonable MU motion and measurements characteristics. The evaluation of this score is based upon statistical techniques and uses MU motion constraints, the fingerprint database, and the measured fingerprint characteristics.
- the score also depends on the score of the previous hypothesis.
- the location hypotheses are then ranked according to this score.
- a hypothesis management algorithm reduces the number of hypotheses by removing hypotheses with low scores and combining similar hypotheses. The surviving hypotheses are then updated with new measurements.
- the complexity of the search can be greatly reduced if an approximate estimate of the MU's location is already available. For example, if the identity of the cell in which the MU is located is known, then according to this invention, the search algorithm will limit its search to only those fingerprints that correspond to locations contained within said cell.
- the search complexity is reduced by noting the time at which the location information is requested. As previously mentioned, not all fingerprints in the database are valid for all times in the day. Knowing the time at which the request is received, the database engine limits the search to the appropriate fingerprints.
- Fig. 9 illustrates a structure 400 of the fingerprint in one embodiment.
- the time at which the fingerprint is captured is stored in the finge ⁇ rint structure, as shown by box 401.
- the UTC format is used to store time.
- the fingerprint comprises characteristics of received signals at multiple frequencies.
- Each column in Fig. 9 is information pertaining to a particular frequency or carrier.
- a Station ID field 403 indicates the unique identifying code of a broadcasting station from which the signal emanated.
- This field is optional. In one embodiment this field is filled by the MU using information received in the signal. In another embodiment this field is filled by the Other Party to indicate to the MU as to which signals to capture for the fingerprint.
- a Frequency field 405 is the unique frequency value at which a signal is captured. Either the Station ID field or the Frequency field is mandatory since without both it is not possible to identify the signal.
- a Tuning Parameter field 407 is used when the MU requires additional information to tune to a particular carrier. In one embodiment this field is supplied by the Other Party with information containing the modulation characteristics of the signal. This field is optional. In one embodiment a Transmitter Location field 409 is used to characterize the received signals. In another embodiment this field is filled by the Other Party.
- Fig. 10 shows the high level structure of the fingerprint database 501 in one embodiment. As one skilled in the art can appreciate, there are many methods for building, managing and searching databases. The purpose of Fig. 10 is merely to illustrate the structure of the database in one embodiment. Each row in database 501 corresponds to one finge ⁇ rint.
- the Lat and Long fields indicate the latitude and longitude of the location to which the finge ⁇ rint corresponds. In one instance the finge ⁇ rint corresponds not to one exact spot on the surface of the earth, but instead to a small area.
- the Lat and Long fields in this embodiment indicate a position inside the area, preferably the center point.
- the Time column indicates the time at which the finge ⁇ rint was captured. In one embodiment the UTC time format is used to indicate this time.
- the Finge ⁇ rint column contains the actual finge ⁇ rint data. In one embodiment the structure depicted in Fig. 9 is used to store the finge ⁇ rint data.
- the Description column contains a short description of the location corresponding to the finge ⁇ rint.
- the database is built by taking off-line snapshots of finge ⁇ rints at various locations.
- the finge ⁇ rint information along with the coordinates of the location are entered into the database. The more the locations, the richer the database.
- the resolution of location determination is also controlled by how far apart the finge ⁇ rint samples are taken. The closer they are, the higher the resolution.
- the resolution of the database is limited by the sensitivity of the finge ⁇ rint measuring device.
- the finge ⁇ rints are taken using very sensitive signal measuring devices that enable locations that are very close to each other to have distinct finge ⁇ rints.
- the database is built by talcing finge ⁇ rint measurements at predetermined locations and using intelligent algorithms that inte ⁇ olate the finge ⁇ rints at all locations in between the sampled locations.
- This method has the advantage of not requiring a great many physical measurements to be made, however, it does suffer from some loss in accuracy. This is because, however clever, the inte ⁇ olating algorithms will not be as accurate as making the actual measurements.
- the database is generated on-line using smart algorithms that can predict the finge ⁇ rints in a local area. This scheme is effective in instances where an approximate idea of the MU location is already available. For example, this could be the cell in which the MU is located.
- a fmge ⁇ rint model when a fmge ⁇ rint model is produced for a particular region, it can be subjected to statistical analysis to assess both the location accuracy that may be expected in that region and to identify specific areas that can have potential ambiguity problems.
- the probability distribution of ambiguous locations may be calculated, as a function of the level of errors expected, by computing the likelihood that each pair of location points will be confused at that error level. The characteristics of this distribution provide information about the accuracy and confidence of location estimates. If the distribution at a particular point is tight (low statistical variance), location estimates of MU's at that location should be quite accurate.
- this invention has one or more of the following significant improvements over prior art for MU location techniques: (1) it can be implemented without requiring any modifications to the existing wireless network infrastructure, (2) only minor software changes in the MU (typically a cellular phone) are required, and (3) it can be utilized in areas where GPS coverage is either not available or not reliable. This follows because the finge ⁇ rints are generated by using portions of the RF spectrum that typically have superior coverage and in-building penetration than GPS signals.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP01924271A EP1273184A4 (en) | 2000-03-22 | 2001-03-21 | Location determination using rf fingerprinting |
AU2001250941A AU2001250941A1 (en) | 2000-03-22 | 2001-03-21 | Location determination using rf fingerprinting |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US09/532,418 US6393294B1 (en) | 1998-09-22 | 2000-03-22 | Location determination using RF fingerprinting |
US09/532,418 | 2000-03-22 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2001072060A1 true WO2001072060A1 (en) | 2001-09-27 |
Family
ID=24121691
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2001/009253 WO2001072060A1 (en) | 2000-03-22 | 2001-03-21 | Location determination using rf fingerprinting |
Country Status (4)
Country | Link |
---|---|
US (5) | US6393294B1 (en) |
EP (1) | EP1273184A4 (en) |
AU (1) | AU2001250941A1 (en) |
WO (1) | WO2001072060A1 (en) |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008029137A1 (en) * | 2006-09-07 | 2008-03-13 | Zone Tracker Limited | Location identification system and method for a mobile communications network |
EP1980125A1 (en) * | 2006-02-03 | 2008-10-15 | TELEFONAKTIEBOLAGET LM ERICSSON (publ) | Method and arrangement for high precision position reference measurements at indoor locations |
EP2394369A2 (en) * | 2009-02-04 | 2011-12-14 | QUALCOMM Incorporated | Adjustable receive filter responsive to frequency spectrum information |
WO2012178016A1 (en) * | 2011-06-22 | 2012-12-27 | Qualcomm Incorporated | Wireless device positioning in multicarrier configurations |
WO2013124161A1 (en) * | 2012-02-09 | 2013-08-29 | Arieso Limited | Mobile geolocation |
US8660540B2 (en) | 2009-04-21 | 2014-02-25 | Qualcomm Incorporated | Supporting version negotiation for positioning for terminals in a wireless network |
US8660574B2 (en) | 2008-04-02 | 2014-02-25 | Qualcomm Incorporated | Generic positioning protocol |
WO2014057458A3 (en) * | 2012-10-11 | 2014-07-03 | Telefonaktiebolaget L M Ericsson (Publ) | Method and system of semantic indoor positioning using significant places as satellites |
GB2516832A (en) * | 2013-07-31 | 2015-02-11 | Here Global Bv | Method and apparatus for determining quality of radio maps |
US9435874B2 (en) | 2009-04-21 | 2016-09-06 | Qualcomm Incorporated | Method and apparatus for supporting positioning for terminals in a wireless network |
US9703274B2 (en) | 2012-10-12 | 2017-07-11 | Telefonaktiebolaget L M Ericsson (Publ) | Method for synergistic occupancy sensing in commercial real estates |
EP1865740B1 (en) * | 2006-06-09 | 2019-05-08 | Vodafone Holding GmbH | Determining the position of mobile terminals in a mobile telephone network and uses therefor |
US10863452B2 (en) | 2018-12-12 | 2020-12-08 | Rohde & Schwarz Gmbh & Co. Kg | Method and radio for setting the transmission power of a radio transmission |
Families Citing this family (286)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7593481B2 (en) * | 1998-08-31 | 2009-09-22 | Kamilo Feher | CDMA, W-CDMA, 3rd generation interoperable modem format selectable (MFS) systems with GMSK modulated systems |
US7415066B2 (en) * | 1998-08-10 | 2008-08-19 | Kamilo Feher | Mis-matched modulation-demodulation format selectable filters |
US7548787B2 (en) | 2005-08-03 | 2009-06-16 | Kamilo Feher | Medical diagnostic and communication system |
US7079584B2 (en) * | 1998-08-10 | 2006-07-18 | Kamilo Feher | OFDM, CDMA, spread spectrum, TDMA, cross-correlated and filtered modulation |
US6757334B1 (en) * | 1998-08-10 | 2004-06-29 | Kamilo Feher | Bit rate agile third-generation wireless CDMA, GSM, TDMA and OFDM system |
US8050345B1 (en) * | 1999-08-09 | 2011-11-01 | Kamilo Feher | QAM and GMSK systems |
US6470055B1 (en) | 1998-08-10 | 2002-10-22 | Kamilo Feher | Spectrally efficient FQPSK, FGMSK, and FQAM for enhanced performance CDMA, TDMA, GSM, OFDN, and other systems |
US6198777B1 (en) | 1998-08-31 | 2001-03-06 | Kamilo Feher | Feher keying (KF) modualtion and transceivers including clock shaping processors |
US7257414B2 (en) * | 1998-09-22 | 2007-08-14 | Polaris Wireless, Inc. | Estimating the Location of a Wireless Terminal Based on Non-Uniform Probabilities of Movement |
US6393294B1 (en) * | 1998-09-22 | 2002-05-21 | Polaris Wireless, Inc. | Location determination using RF fingerprinting |
US7899467B2 (en) * | 1998-09-22 | 2011-03-01 | Polaris Wireless, Inc. | Estimating the location of a wireless terminal based on the traits of the multipath components of a signal |
US7734298B2 (en) * | 1998-09-22 | 2010-06-08 | Polaris Wireless, Inc. | Estimating the location of a wireless terminal based on signal path impairment |
US7260369B2 (en) * | 2005-08-03 | 2007-08-21 | Kamilo Feher | Location finder, tracker, communication and remote control system |
US9307407B1 (en) | 1999-08-09 | 2016-04-05 | Kamilo Feher | DNA and fingerprint authentication of mobile devices |
US9813270B2 (en) | 1999-08-09 | 2017-11-07 | Kamilo Feher | Heart rate sensor and medical diagnostics wireless devices |
US9373251B2 (en) | 1999-08-09 | 2016-06-21 | Kamilo Feher | Base station devices and automobile wireless communication systems |
US7512409B1 (en) * | 2000-01-13 | 2009-03-31 | Zion Hadad Communications Ltd. | Cellular network system |
US6556832B1 (en) * | 2000-02-04 | 2003-04-29 | Qualcomm Incorporated | Method and apparatus for evaluation of position location performance |
JP3648140B2 (en) * | 2000-08-21 | 2005-05-18 | 株式会社アドバンテスト | Radio wave monitoring method and apparatus |
IT1321086B1 (en) * | 2000-11-24 | 2003-12-30 | Cselt Centro Studi Lab Telecom | SYSTEM AND METHOD FOR IDENTIFYING THE POSITION OF FURNITURE EQUIPMENT |
WO2002048837A2 (en) * | 2000-12-15 | 2002-06-20 | Polycom, Inc. | System and method for device co-location discrimination |
FI111901B (en) * | 2000-12-29 | 2003-09-30 | Ekahau Oy | Estimation of position in wireless communication networks |
US7519372B2 (en) * | 2001-04-03 | 2009-04-14 | At&T Mobility Ii Llc | Methods and apparatus for mobile station location estimation |
US6778818B1 (en) * | 2001-06-18 | 2004-08-17 | At&T Corp. | Enhanced 911 system for providing witness identification in a wireless communication system |
KR100403184B1 (en) * | 2001-09-08 | 2003-10-23 | 주식회사 씨노드 | Method for providing calling line location information of personal mobile terminal |
DE60229870D1 (en) * | 2001-09-10 | 2008-12-24 | Sirf Tech Inc | SYSTEM FOR USING CELL INFORMATION FOR FINDING A WIRELESS DEVICE |
US6912395B2 (en) * | 2001-09-25 | 2005-06-28 | Motorola, Inc. | Network and method for monitoring location capabilities of a mobile station |
US8977284B2 (en) | 2001-10-04 | 2015-03-10 | Traxcell Technologies, LLC | Machine for providing a dynamic data base of geographic location information for a plurality of wireless devices and process for making same |
US20030125045A1 (en) * | 2001-12-27 | 2003-07-03 | Riley Wyatt Thomas | Creating and using base station almanac information in a wireless communication system having a position location capability |
US7102640B1 (en) * | 2002-03-21 | 2006-09-05 | Nokia Corporation | Service/device indication with graphical interface |
US20050003828A1 (en) * | 2002-04-09 | 2005-01-06 | Sugar Gary L. | System and method for locating wireless devices in an unsynchronized wireless environment |
US8160604B2 (en) * | 2002-04-18 | 2012-04-17 | Qualcomm Incorporated | Integrity monitoring in a position location system utilizing knowledge of local topography |
CA2486373A1 (en) * | 2002-05-23 | 2003-12-04 | International Business Machines Corporation | Method and apparatus for determining a geographic location of an electronic device |
US7742776B2 (en) * | 2002-05-31 | 2010-06-22 | Telecom Italia S.P.A. | Method for locating mobile terminals, system and components therefor |
FI113092B (en) * | 2002-05-31 | 2004-02-27 | Ekahau Oy | Measures of position differences and applications |
FI113410B (en) * | 2002-05-31 | 2004-04-15 | Ekahau Oy | Probalistic model for positioning technique |
FI113409B (en) * | 2002-05-31 | 2004-04-15 | Ekahau Oy | Sequence-based positioning technology |
FI114535B (en) * | 2002-07-10 | 2004-10-29 | Ekahau Oy | positioning Technology |
US8270994B2 (en) * | 2002-07-10 | 2012-09-18 | Ekahau, Oy | Applications of signal quality observations |
US7295808B2 (en) * | 2002-09-05 | 2007-11-13 | Soliman Samir S | Method of and system for calibrating a repeater |
US7113792B2 (en) * | 2002-10-01 | 2006-09-26 | Qualcomm Incorporated | Mobile station location |
US6839027B2 (en) * | 2002-11-15 | 2005-01-04 | Microsoft Corporation | Location measurement process for radio-frequency badges employing path constraints |
AU2003294416A1 (en) * | 2002-11-27 | 2004-06-23 | Cognio, Inc | System and method for locating sources of unknown wireless radio signals |
JP2004175052A (en) * | 2002-11-29 | 2004-06-24 | Sony Corp | Medium to be recorded by ink jetting, ink jet imaging method, and printed matter |
US20040203915A1 (en) * | 2003-01-22 | 2004-10-14 | Van Diggelen Frank | Method and apparatus for locating a mobile receiver having a position cache |
CA2453902A1 (en) * | 2003-01-30 | 2004-07-30 | Brian A. Harron | Gimballed reflector mounting platform |
US7307666B2 (en) * | 2003-01-30 | 2007-12-11 | Her Majesty The Queen In Right Of Canada As Represented By The Minister Of Industry Through The Communications Research Centre Canada | Transmitter identification system |
US7149531B2 (en) * | 2003-02-13 | 2006-12-12 | Ekahau Oy | Location applications for wireless networks |
GB0304861D0 (en) * | 2003-03-04 | 2003-04-09 | Koninkl Philips Electronics Nv | Object location |
US6992625B1 (en) * | 2003-04-25 | 2006-01-31 | Microsoft Corporation | Calibration of a device location measurement system that utilizes wireless signal strengths |
WO2004106963A2 (en) * | 2003-05-23 | 2004-12-09 | Symbol Technologies, Inc. | Method for tracking location of a mobile unit |
US7250907B2 (en) * | 2003-06-30 | 2007-07-31 | Microsoft Corporation | System and methods for determining the location dynamics of a portable computing device |
US7123928B2 (en) * | 2003-07-21 | 2006-10-17 | Qualcomm Incorporated | Method and apparatus for creating and using a base station almanac for position determination |
AU2003903789A0 (en) * | 2003-07-22 | 2003-08-07 | Seeker Wireless Pty Limited | A method and apparatus for finding a mobile radio terminal |
US7647165B2 (en) * | 2003-07-23 | 2010-01-12 | Timothy Gordon Godfrey | Method and apparatus for vehicle tracking and control |
US7346359B2 (en) * | 2003-07-31 | 2008-03-18 | Pango Networks, Inc. | Method for RF fingerprinting |
US7283046B2 (en) * | 2003-08-01 | 2007-10-16 | Spectrum Tracking Systems, Inc. | Method and system for providing tracking services to locate an asset |
JP4493953B2 (en) * | 2003-08-22 | 2010-06-30 | 富士通テン株式会社 | Moving body position providing apparatus and moving body position providing system |
FR2859792B1 (en) * | 2003-09-17 | 2006-06-02 | Nextenso | METHOD FOR DETECTING THE PRESENCE OR ABSENCE OF A MOBILE TERMINAL ON A PATH |
DE10345255B4 (en) * | 2003-09-29 | 2005-08-04 | Siemens Ag | Method and arrangement for determining a position of a mobile communication device in a communication network |
US7148802B2 (en) * | 2003-10-14 | 2006-12-12 | Paul Abbruscato | Direction finder and locator |
US20050105600A1 (en) * | 2003-11-14 | 2005-05-19 | Okulus Networks Inc. | System and method for location tracking using wireless networks |
US7129891B2 (en) * | 2003-11-21 | 2006-10-31 | Xerox Corporation | Method for determining proximity of devices in a wireless network |
US7406320B1 (en) | 2003-12-08 | 2008-07-29 | Airtight Networks, Inc. | Method and system for location estimation in wireless networks |
US7856209B1 (en) | 2003-12-08 | 2010-12-21 | Airtight Networks, Inc. | Method and system for location estimation in wireless networks |
US7389114B2 (en) * | 2004-02-11 | 2008-06-17 | Avaya Technology Corp. | Estimating the location of inexpensive wireless terminals by using signal strength measurements |
US7536723B1 (en) | 2004-02-11 | 2009-05-19 | Airtight Networks, Inc. | Automated method and system for monitoring local area computer networks for unauthorized wireless access |
US7272394B2 (en) * | 2004-02-11 | 2007-09-18 | Avaya Technology Corp. | Location estimation of wireless terminals in a multi-story environment |
US8576730B2 (en) * | 2004-03-31 | 2013-11-05 | Time Warner, Inc. | Method and system for determining locality using network signatures |
BRPI0418696A (en) * | 2004-04-02 | 2007-06-12 | Qualcomm Inc | methods and equipment for signaling assisted position determination systems |
US7359718B2 (en) * | 2004-04-30 | 2008-04-15 | Hong Kong Applied Science And Technology Research Institute Co., Ltd. | Location determination and location tracking in wireless networks |
US7433696B2 (en) * | 2004-05-18 | 2008-10-07 | Cisco Systems, Inc. | Wireless node location mechanism featuring definition of search region to optimize location computation |
US7155239B2 (en) * | 2004-05-28 | 2006-12-26 | Symbol Technologies, Inc. | Method and system for radio map filtering via adaptive clustering |
GB0412260D0 (en) * | 2004-06-02 | 2004-07-07 | Ubisense Ltd | Tag frequency control |
US8571541B2 (en) | 2004-07-15 | 2013-10-29 | Avaya Inc. | Proximity-based authorization |
WO2006017668A1 (en) * | 2004-08-04 | 2006-02-16 | Celltitude, Inc. | Determining location of a wireless handset from another wireless handset |
US20110034122A1 (en) * | 2004-09-17 | 2011-02-10 | Andrew, Llc | System and Method of Operation For Network Overlay Geolocation System With Repeaters |
US7359449B2 (en) * | 2004-10-05 | 2008-04-15 | Kamilo Feher | Data communication for wired and wireless communication |
US7421004B2 (en) * | 2004-10-05 | 2008-09-02 | Kamilo Feher | Broadband, ultra wideband and ultra narrowband reconfigurable interoperable systems |
US7433693B2 (en) * | 2004-10-27 | 2008-10-07 | Qualcomm Incorporated | Location-sensitive calibration data |
US8369264B2 (en) | 2005-10-28 | 2013-02-05 | Skyhook Wireless, Inc. | Method and system for selecting and providing a relevant subset of Wi-Fi location information to a mobile client device so the client device may estimate its position with efficient utilization of resources |
US8244272B2 (en) * | 2005-02-22 | 2012-08-14 | Skyhook Wireless, Inc. | Continuous data optimization of moved access points in positioning systems |
EP2527859B1 (en) | 2004-10-29 | 2016-04-20 | Skyhook Wireless, Inc. | Location beacon database and server, method of building location beacon database, and location based service using same |
US20060174084A1 (en) * | 2005-01-31 | 2006-08-03 | Suban Krishnamoorthy | Storage system configuration validation |
US20060173664A1 (en) * | 2005-01-31 | 2006-08-03 | Suban Krishnamoorthy | SAN modeling |
WO2006099540A2 (en) | 2005-03-15 | 2006-09-21 | Trapeze Networks, Inc. | System and method for distributing keys in a wireless network |
CA2601161A1 (en) * | 2005-03-18 | 2006-09-21 | Seeker Wireless Pty Limited | Enhanced mobile location |
CN101180550A (en) * | 2005-03-18 | 2008-05-14 | 探索无线公司 | Enhanced mobile location method and system |
US7551574B1 (en) * | 2005-03-31 | 2009-06-23 | Trapeze Networks, Inc. | Method and apparatus for controlling wireless network access privileges based on wireless client location |
US7353034B2 (en) | 2005-04-04 | 2008-04-01 | X One, Inc. | Location sharing and tracking using mobile phones or other wireless devices |
CA2603463A1 (en) * | 2005-04-08 | 2006-10-12 | Seeker Wireless Pty Limited | Enhanced terrestrial mobile location |
CN101208974B (en) * | 2005-05-04 | 2012-09-12 | 意大利电信股份公司 | Method for optimizing channel scanning function in telecommunication network of mobile terminal |
WO2006124907A2 (en) * | 2005-05-17 | 2006-11-23 | Andrew Corporation | Method and apparatus for determining coupled path loss |
DE102005026788A1 (en) * | 2005-06-10 | 2006-12-21 | Deutsche Telekom Ag | Method and system for locating a mobile WLAN client |
US7724717B2 (en) * | 2005-07-22 | 2010-05-25 | Sri International | Method and apparatus for wireless network security |
US8249028B2 (en) * | 2005-07-22 | 2012-08-21 | Sri International | Method and apparatus for identifying wireless transmitters |
US7280810B2 (en) * | 2005-08-03 | 2007-10-09 | Kamilo Feher | Multimode communication system |
US10009956B1 (en) | 2017-09-02 | 2018-06-26 | Kamilo Feher | OFDM, 3G and 4G cellular multimode systems and wireless mobile networks |
GB0516307D0 (en) * | 2005-08-09 | 2005-09-14 | Applied Generics Ltd | Construction of a location database from traffic monitoring information |
CN101283616B (en) * | 2005-10-07 | 2011-04-06 | 艾利森电话股份有限公司 | Subdistrict identification orientation with enhanced adaptability |
US7724703B2 (en) | 2005-10-13 | 2010-05-25 | Belden, Inc. | System and method for wireless network monitoring |
US7573859B2 (en) | 2005-10-13 | 2009-08-11 | Trapeze Networks, Inc. | System and method for remote monitoring in a wireless network |
US8638762B2 (en) | 2005-10-13 | 2014-01-28 | Trapeze Networks, Inc. | System and method for network integrity |
WO2007044986A2 (en) | 2005-10-13 | 2007-04-19 | Trapeze Networks, Inc. | System and method for remote monitoring in a wireless network |
WO2007048176A1 (en) | 2005-10-24 | 2007-05-03 | Seeker Wireless Pty Limited | Mobile service maintenance management |
US20090298505A1 (en) * | 2005-11-04 | 2009-12-03 | Christopher Ridgway Drane | Profile Based Communications Service |
GB0523513D0 (en) * | 2005-11-18 | 2005-12-28 | Applied Generics Ltd | Efficient location and tracking of mobile subscribers |
US8265656B2 (en) * | 2005-12-07 | 2012-09-11 | Ekahau Oy | Positioning technique |
FI118715B (en) | 2005-12-07 | 2008-02-15 | Ekahau Oy | position sensors |
US7904097B2 (en) * | 2005-12-07 | 2011-03-08 | Ekahau Oy | Location determination techniques |
US7885668B2 (en) * | 2006-01-31 | 2011-02-08 | Microsoft Corporation | Determining the network location of a user device based on transmitter fingerprints |
US7558266B2 (en) | 2006-05-03 | 2009-07-07 | Trapeze Networks, Inc. | System and method for restricting network access using forwarding databases |
US8966018B2 (en) | 2006-05-19 | 2015-02-24 | Trapeze Networks, Inc. | Automated network device configuration and network deployment |
US8965393B2 (en) * | 2006-05-22 | 2015-02-24 | Polaris Wireless, Inc. | Estimating the location of a wireless terminal based on assisted GPS and pattern matching |
JP2007316070A (en) * | 2006-05-22 | 2007-12-06 | Polaris Wireless Inc | Method for predicting position of wireless terminal |
US9191799B2 (en) | 2006-06-09 | 2015-11-17 | Juniper Networks, Inc. | Sharing data between wireless switches system and method |
US9258702B2 (en) | 2006-06-09 | 2016-02-09 | Trapeze Networks, Inc. | AP-local dynamic switching |
US8818322B2 (en) | 2006-06-09 | 2014-08-26 | Trapeze Networks, Inc. | Untethered access point mesh system and method |
US8023959B2 (en) * | 2006-06-28 | 2011-09-20 | Motorola Mobility, Inc. | Method and system for personal area networks |
US8340110B2 (en) | 2006-09-15 | 2012-12-25 | Trapeze Networks, Inc. | Quality of service provisioning for wireless networks |
US7733220B2 (en) * | 2006-10-05 | 2010-06-08 | Northrop Grumman Corporation | System and methods for detecting change in a monitored environment |
CN101536591B (en) * | 2006-10-30 | 2012-06-06 | Lm爱立信电话有限公司 | Extended clustering for improved positioning |
KR100848322B1 (en) * | 2006-12-08 | 2008-07-24 | 한국전자통신연구원 | The system and method for indoor wireless location |
US7701393B2 (en) * | 2006-12-19 | 2010-04-20 | The Boeing Company | Radio frequency navigation using frequency response matching |
US7873061B2 (en) | 2006-12-28 | 2011-01-18 | Trapeze Networks, Inc. | System and method for aggregation and queuing in a wireless network |
US8798639B2 (en) * | 2007-01-17 | 2014-08-05 | Qualcomm Incorporated | Method and apparatus for using historic network information for determining approximate position |
TWI351826B (en) * | 2007-01-31 | 2011-11-01 | Qisda Corp | Method for determining region using in broadcastin |
CA2677087A1 (en) | 2007-02-05 | 2008-08-14 | Andrew Corporation | System and method for optimizing location estimate of mobile unit |
US20080220780A1 (en) * | 2007-03-07 | 2008-09-11 | Honeywell International Inc. | Method for the automatic calibration of location anchors |
EP2140692A4 (en) * | 2007-03-13 | 2010-12-01 | Seeker Wireless Pty Ltd | Enhanced zone determination |
US8010134B2 (en) * | 2007-03-14 | 2011-08-30 | Sprint Communications Company L.P. | Architecture for mobile advertising with location |
EP1978771A1 (en) * | 2007-04-05 | 2008-10-08 | Nederlandse Organisatie voor Toegepast-Natuuurwetenschappelijk Onderzoek TNO | Location detection |
ATE528946T1 (en) * | 2007-06-29 | 2011-10-15 | Octaview Technologies B V | SYSTEM AND METHOD FOR DETERMINING LOCATIONS VIA CELL PHONE TRANSMISSION PATTERNS |
US7965183B1 (en) | 2007-07-10 | 2011-06-21 | Northrop Grumman Space And Mission Systems Corporation | Systems and methods for determining authenticity of substances |
US8595070B1 (en) | 2007-07-17 | 2013-11-26 | Sprint Communications Company L.P. | Coupon validation using radio frequency fingerprinting |
US7945271B1 (en) * | 2007-07-19 | 2011-05-17 | Sprint Communications Company L.P. | Location inference using radio frequency fingerprinting |
US8902904B2 (en) | 2007-09-07 | 2014-12-02 | Trapeze Networks, Inc. | Network assignment based on priority |
US8798613B2 (en) * | 2007-09-17 | 2014-08-05 | Wavemarket, Inc. | Systems and method for triggering location based voice and/or data communications to or from mobile ratio terminals |
US20090088180A1 (en) * | 2007-10-01 | 2009-04-02 | James Lamance | Computing geographical location of a mobile receiver using network measurement reports |
US8238942B2 (en) | 2007-11-21 | 2012-08-07 | Trapeze Networks, Inc. | Wireless station location detection |
US8737985B2 (en) * | 2007-11-26 | 2014-05-27 | Wavemarket, Inc. | Methods and systems for zone creation and adaption |
US7800530B2 (en) * | 2007-12-07 | 2010-09-21 | Andrew, Llc | Method and system for providing assistance data for A-GPS location of handsets in wireless networks |
KR100932271B1 (en) * | 2007-12-07 | 2009-12-16 | 한국전자통신연구원 | Automatic Fingerprint Database Generation for Indoor Radiolocation |
US8463297B2 (en) * | 2007-12-27 | 2013-06-11 | Trueposition, Inc. | Subscriber selective, area-based service control |
US8046169B2 (en) | 2008-01-03 | 2011-10-25 | Andrew, Llc | System and method for determining the geographic location of a device |
US9299087B1 (en) | 2008-01-21 | 2016-03-29 | Sprint Communications Company L.P. | Providing and tracking virtual coupons |
US8150357B2 (en) | 2008-03-28 | 2012-04-03 | Trapeze Networks, Inc. | Smoothing filter for irregular update intervals |
US8180367B2 (en) * | 2008-03-31 | 2012-05-15 | Intel Corporation | Cluster-based fingerprinting algorithms |
WO2009124349A1 (en) * | 2008-04-07 | 2009-10-15 | Seeker Wireless Pty Limited | Location of wireless mobile terminals |
US8483706B2 (en) * | 2008-04-15 | 2013-07-09 | Qualcomm Incorporated | Location services based on positioned wireless measurement reports |
WO2009131506A1 (en) * | 2008-04-25 | 2009-10-29 | Telefonaktiebolaget L M Ericsson (Publ) | Radio fingerprint method in a positioning node for providing geographic region data |
US8812701B2 (en) * | 2008-05-21 | 2014-08-19 | Uniloc Luxembourg, S.A. | Device and method for secured communication |
US8805400B2 (en) | 2008-05-23 | 2014-08-12 | Andrew, Llc | System and method for locating WIMAX or LTE subscriber stations |
US8731457B2 (en) | 2008-05-23 | 2014-05-20 | Andrew Llc | System and method for locating WiMAX or LTE subscriber stations |
US8978105B2 (en) | 2008-07-25 | 2015-03-10 | Trapeze Networks, Inc. | Affirming network relationships and resource access via related networks |
EP2160064B1 (en) * | 2008-08-27 | 2012-07-18 | Tektronix International Sales GmbH | Method and location device for locating at least one user in a mobile wireless network |
ES2436727T3 (en) * | 2008-08-29 | 2014-01-03 | Telespazio S.P.A. | Improved interior location |
US8238298B2 (en) | 2008-08-29 | 2012-08-07 | Trapeze Networks, Inc. | Picking an optimal channel for an access point in a wireless network |
US8218493B2 (en) * | 2008-09-08 | 2012-07-10 | Wisconsin Alumni Research Foundation | System and method for interference mitigation in wireless networks |
US8478228B2 (en) * | 2008-10-20 | 2013-07-02 | Qualcomm Incorporated | Mobile receiver with location services capability |
US20100106745A1 (en) * | 2008-10-23 | 2010-04-29 | Electronics And Telecommunications Research Institute | Method and apparatus for generating fingerprint database for wireless location |
US8762519B2 (en) * | 2008-10-28 | 2014-06-24 | Andrew Llc | System and method for providing location services for multiple access networks from a single location server |
US8125377B2 (en) | 2008-11-17 | 2012-02-28 | Andrew Llc | System and method for determining the location of a mobile device |
US8380222B2 (en) | 2008-11-26 | 2013-02-19 | Andrew Llc | System and method for multiple range estimation location |
WO2010065369A2 (en) | 2008-12-05 | 2010-06-10 | Andrew Llc | System and method for routing supl proxy-mode traffic when multiple nodes are deployed in a network |
GB2466226B (en) | 2008-12-15 | 2012-11-14 | King S College London | Improvements in or relating to network mobility |
TWI394976B (en) * | 2008-12-24 | 2013-05-01 | Mstar Semiconductor Inc | Positioning auxiliary method and positioning auxiliary device using the method |
US8204444B2 (en) * | 2009-02-04 | 2012-06-19 | Qualcomm Incorporated | Adjustable transmission filter responsive to internal sadio status |
US9014727B2 (en) * | 2009-02-27 | 2015-04-21 | Broadcom Corporation | Method and system for updating obsolete records for reference positions in a reference position database |
US9392521B2 (en) * | 2009-03-18 | 2016-07-12 | Telecommunication Systems, Inc. | System and method for concurrently determining locations of mobile device in wireless communication network |
IE20100162A1 (en) * | 2009-03-19 | 2010-09-29 | Cork Inst Technology | A location and tracking system |
US8462769B2 (en) * | 2009-03-26 | 2013-06-11 | Andrew Llc | System and method for managing created location contexts in a location server |
US8391884B2 (en) * | 2009-03-26 | 2013-03-05 | Andrew Llc | System and method for managing created location contexts in a location server |
US20100259444A1 (en) * | 2009-04-08 | 2010-10-14 | Andrei Kosolobov | Method and system for dynamic wireless node capture for a lbs server, client, and reference database |
US9552357B1 (en) | 2009-04-17 | 2017-01-24 | Sprint Communications Company L.P. | Mobile device search optimizer |
US8233879B1 (en) | 2009-04-17 | 2012-07-31 | Sprint Communications Company L.P. | Mobile device personalization based on previous mobile device usage |
US8467805B2 (en) * | 2009-05-08 | 2013-06-18 | Andrew Llc | System and method for determining a reference location using cell table data mining |
US8548492B2 (en) | 2009-05-12 | 2013-10-01 | Andrew Llc | System and method for locating WiMAX or LTE subscriber stations |
US8170815B2 (en) * | 2009-06-08 | 2012-05-01 | Rockstar Bidco Lp | RF fingerprinting for location estimation |
FR2946825B1 (en) * | 2009-06-12 | 2011-08-05 | Univ Paris Curie | GEOLOCATION OF A MOBILE STATION OF A WIRELESS TELEPHONY NETWORK |
US8600297B2 (en) * | 2009-07-28 | 2013-12-03 | Qualcomm Incorporated | Method and system for femto cell self-timing and self-locating |
WO2011016804A1 (en) | 2009-08-05 | 2011-02-10 | Andrew Llc | System and method for hybrid location in an lte network |
WO2011016805A1 (en) | 2009-08-05 | 2011-02-10 | Andrew Llc | System and method for hybrid location in a cdma2000 network |
US8180371B1 (en) | 2009-08-18 | 2012-05-15 | Sprint Communications Company L.P. | System and method for mobile device self-location |
US8423043B2 (en) * | 2009-09-14 | 2013-04-16 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for location fingerprinting |
US8340683B2 (en) | 2009-09-21 | 2012-12-25 | Andrew, Llc | System and method for a high throughput GSM location solution |
US8401570B2 (en) * | 2009-09-30 | 2013-03-19 | Telefonaktiebolaget Lm Ericsson (Publ) | LTE fingerprinting positioning references for other cellular systems |
CN102550051B (en) * | 2009-09-30 | 2015-04-22 | 瑞典爱立信有限公司 | LTE fingerprinting positioning references for other cellular systems |
TW201115451A (en) * | 2009-10-20 | 2011-05-01 | Ind Tech Res Inst | A vectoring data transfer system and method based on sensor assisted positioning method |
US8990104B1 (en) | 2009-10-27 | 2015-03-24 | Sprint Communications Company L.P. | Multimedia product placement marketplace |
TW201122527A (en) * | 2009-12-21 | 2011-07-01 | Ind Tech Res Inst | Positioning method and communication system using thereof |
US8966390B2 (en) * | 2009-12-29 | 2015-02-24 | Nokia Corporation | Method and apparatus for visually indicating location probability |
US9331798B2 (en) * | 2010-01-08 | 2016-05-03 | Commscope Technologies Llc | System and method for mobile location by proximity detection |
US20110170693A1 (en) * | 2010-01-13 | 2011-07-14 | Andrew Llc | Stateless method and system for providing location information of target device |
US8689277B2 (en) * | 2010-01-13 | 2014-04-01 | Andrew Llc | Method and system for providing location of target device using stateless user information |
US8489117B2 (en) * | 2010-01-27 | 2013-07-16 | Motorola Mobility Llc | Real-time location estimation of a mobile station in a wireless communication system |
WO2011106755A2 (en) * | 2010-02-26 | 2011-09-01 | Digital Authentication Technologies, Inc. | Location-aware security and access system |
CN101808327B (en) * | 2010-03-04 | 2013-11-06 | 电子科技大学 | Method and system based on visual cognition in radio communication |
US8244236B2 (en) | 2010-04-29 | 2012-08-14 | Wavemarket, Inc. | System and method for aggregating and disseminating mobile device tag data |
US9253605B2 (en) * | 2010-03-24 | 2016-02-02 | Skyhook Wireless, Inc. | System and method for resolving multiple location estimate conflicts in a WLAN-positioning system |
US20110256894A1 (en) * | 2010-04-15 | 2011-10-20 | Samsung Electronics Co., Ltd. | User equipment and server system for updating data relating to fixed wireless nodes |
US8570993B2 (en) | 2010-05-20 | 2013-10-29 | At&T Mobility Ii Llc | Wi-Fi intelligent selection engine |
US8718673B2 (en) | 2010-05-21 | 2014-05-06 | Maple Acquisition Llc | System and method for location assurance of a mobile device |
US9112683B2 (en) | 2010-05-27 | 2015-08-18 | Maple Acquisition Llc | Maintaining triggered session state in secure user plane location (SUPL) enabled system |
KR101868819B1 (en) | 2010-06-11 | 2018-06-19 | 스카이후크 와이어리스, 인크. | Methods of and Systems for Measuring Beacon Stability of Wireless Access Points |
GB2481851A (en) | 2010-07-09 | 2012-01-11 | Univ Antwerpen | Object location |
CN101917756B (en) * | 2010-07-16 | 2013-09-11 | 电子科技大学 | Visual cognition-based power control method |
US8514131B2 (en) * | 2010-09-03 | 2013-08-20 | Qualcomm Incorporated | Methods and apparatus for increasing the reliability of signal reference maps for use in position determination |
US7994981B1 (en) * | 2010-09-07 | 2011-08-09 | etherwhere Corporation | System framework for mobile device location |
WO2012031359A1 (en) * | 2010-09-10 | 2012-03-15 | WiFarer Inc. | Rf fingerprints for content location |
US8812728B2 (en) | 2010-09-15 | 2014-08-19 | Andrew Llc | Routing requests for location-to-service translation (LoST) services using proxy server |
GB2484268A (en) | 2010-09-16 | 2012-04-11 | Uniloc Usa Inc | Psychographic profiling of users of computing devices |
US8958754B2 (en) | 2010-09-29 | 2015-02-17 | Andrew, Llc | System and method for sub-coherent integration for geo-location using weak or intermittent signals |
US9144052B2 (en) * | 2010-09-29 | 2015-09-22 | British Telecommunications Public Limited Company | Method of determining location |
US8457673B2 (en) * | 2010-10-11 | 2013-06-04 | Motorola Mobility Llc | Method and apparatus for radio frequency fingerprint distribution |
US8725174B2 (en) * | 2010-10-23 | 2014-05-13 | Wavemarket, Inc. | Mobile device alert generation system and method |
US20120302263A1 (en) * | 2010-11-29 | 2012-11-29 | Qualcomm Incorporated | Estimating access terminal location based on uplink signals |
US8504077B2 (en) | 2010-12-04 | 2013-08-06 | Wavemarket, Inc. | System and method for monitoring and disseminating mobile device location information |
US8489122B2 (en) | 2010-12-09 | 2013-07-16 | Andrew Llc | System and method for total flight time ratio pattern matching |
US20120184219A1 (en) * | 2011-01-19 | 2012-07-19 | Qualcomm Incorporated | Method and apparatus for learning of the parameters of a fingerprint prediction map model |
US8692667B2 (en) | 2011-01-19 | 2014-04-08 | Qualcomm Incorporated | Methods and apparatus for distributed learning of parameters of a fingerprint prediction map model |
EP2671373B1 (en) * | 2011-02-05 | 2017-12-06 | Apple Inc. | Method and apparatus for mobile location determination |
EP2673967B1 (en) | 2011-02-10 | 2018-05-02 | Telefonaktiebolaget LM Ericsson (publ) | Methods and arrangements in a cellular radio communication system |
WO2012112555A1 (en) | 2011-02-14 | 2012-08-23 | Andrew Llc | Method for mobile location by dynamic clustering |
US9081080B2 (en) * | 2011-03-04 | 2015-07-14 | Qualcomm Incorporated | RSSI-based indoor positioning in the presence of dynamic transmission power control access points |
US9008685B1 (en) | 2011-04-26 | 2015-04-14 | Andrew Joseph Gold | Method and system for indoor RF mapping |
US8977287B1 (en) | 2011-04-26 | 2015-03-10 | Andrew Joseph Gold | Method and system for indoor RF mapping |
US8781495B1 (en) | 2011-04-26 | 2014-07-15 | Andrew Joseph Gold | Method and system for indoor RF mapping |
US9715001B2 (en) | 2011-06-13 | 2017-07-25 | Commscope Technologies Llc | Mobile location in a remote radio head environment |
US8589318B2 (en) | 2011-07-15 | 2013-11-19 | Microsoft Corporation | Location determination using generalized fingerprinting |
US9125165B2 (en) * | 2011-07-29 | 2015-09-01 | Broadcom Corporation | WLAN-based positioning system |
US8666432B2 (en) | 2011-08-11 | 2014-03-04 | Rf Spot Inc. | Method and system for indoor RF mapping |
US8532672B2 (en) | 2011-08-25 | 2013-09-10 | Empire Technology Development Llc | Radio localization database generation by capturing cognitive radio spectrum sensing data |
AT511881B1 (en) * | 2011-09-08 | 2015-02-15 | Indoo Rs Gmbh | METHOD AND SYSTEM FOR LOCATING A COMMUNICATION DEVICE |
AU2011101296B4 (en) | 2011-09-15 | 2012-06-28 | Uniloc Usa, Inc. | Hardware identification through cookies |
US8977207B2 (en) * | 2011-09-15 | 2015-03-10 | Nokia Corporation | Methods, apparatuses and computer program products for providing automatic maintenance of a geoposition system |
US8682345B2 (en) | 2011-09-28 | 2014-03-25 | Qualcomm Incorporated | Utilizing relationships between places of relevance |
US10637820B2 (en) | 2011-10-21 | 2020-04-28 | Uniloc 2017 Llc | Local area social networking |
CN106353723B (en) * | 2011-11-04 | 2019-12-13 | 瑞典爱立信有限公司 | Positioning of user equipment based on virtual reference measurements |
US9059802B2 (en) | 2011-11-09 | 2015-06-16 | At&T Mobility Ii Llc | Received signal strength indicator snapshot analysis |
US8548497B2 (en) * | 2011-12-16 | 2013-10-01 | Microsoft Corporation | Indoor localization using commercial frequency-modulated signals |
US8897157B2 (en) | 2011-12-16 | 2014-11-25 | Maxlinear, Inc. | Method and apparatus for providing conditional access based on channel characteristics |
US9071936B2 (en) | 2012-01-31 | 2015-06-30 | Qualcomm Incorporated | Methods and devices for facilitating location approximation in a CDMA 1x network |
US8897813B2 (en) | 2012-02-03 | 2014-11-25 | Andrew Llc | LTE user equipment positioning system and method |
GB2499625C (en) * | 2012-02-22 | 2016-07-27 | Creativity Software Ltd | Hybrid method for high accuracy and cost effective prediction of mobile device positions through mobile networks |
US9194934B2 (en) | 2012-03-09 | 2015-11-24 | Blackberry Limited | Location estimation using radio scene signatures |
US8948809B2 (en) * | 2012-03-09 | 2015-02-03 | Blackberry Limited | Signature based connectivity prediction for portable electronic devices |
US9244152B1 (en) | 2012-06-01 | 2016-01-26 | Amazon Technologies, Inc. | Determining device locations using movement, signal strength |
US8630665B1 (en) * | 2012-06-25 | 2014-01-14 | Polaris Wireless, Inc. | Estimating the location of a wireless terminal despite apparently reasonable but misleading or erroneous empirical data |
US9389302B2 (en) | 2012-07-18 | 2016-07-12 | Google Technology Holdings LLC | Real-time location estimation of a mobile station in a wireless communication system |
US20140094187A1 (en) * | 2012-09-28 | 2014-04-03 | Anthony G. LaMarca | Location estimation based upon ambient identifiable wireless signal sources |
TWI489126B (en) * | 2012-12-19 | 2015-06-21 | Ind Tech Res Inst | System and method for dynamic correction of wireless signal strength |
US9107178B2 (en) | 2012-12-24 | 2015-08-11 | Intel Corporation | Geo-location signal fingerprinting |
US9179265B2 (en) | 2013-01-31 | 2015-11-03 | Apple Inc. | Reducing location search space |
US20140248908A1 (en) | 2013-03-01 | 2014-09-04 | Uniloc Luxembourg S.A. | Pedestrian traffic monitoring and analysis |
AU2013100802B4 (en) | 2013-04-11 | 2013-11-14 | Uniloc Luxembourg S.A. | Device authentication using inter-person message metadata |
US8695068B1 (en) | 2013-04-25 | 2014-04-08 | Uniloc Luxembourg, S.A. | Device authentication using display device irregularity |
US20150081583A1 (en) * | 2013-09-18 | 2015-03-19 | Amazon Technologies, Inc. | Confirming delivery location using radio fingerprinting |
US9191912B2 (en) | 2013-09-26 | 2015-11-17 | Adc Telecommunications, Inc. | Systems and methods for location determination |
US10244362B2 (en) | 2013-10-08 | 2019-03-26 | Gozio Inc. | Use of RF-based fingerprinting for indoor positioning by mobile technology platforms |
US9807724B2 (en) | 2013-10-08 | 2017-10-31 | Gozio Inc. | Use of RF-based fingerprinting for indoor positioning by mobile technology platforms |
CN103533640B (en) * | 2013-10-10 | 2016-04-20 | 东南大学 | The method of dispatching from the factory of wireless location recognition system, positioning identifying method and locating terminal |
US9485746B2 (en) * | 2014-06-03 | 2016-11-01 | Cisco Technology, Inc. | Location classification accuracy for devices inside and outside of a deployment area |
WO2016003395A1 (en) * | 2014-06-30 | 2016-01-07 | Intel Corporation | Efficient location determination of wireless communication devices using hybrid localization techniques |
KR20170060129A (en) | 2014-09-29 | 2017-05-31 | 텔레콤 이탈리아 소시에떼 퍼 아찌오니 | Positioning method and system for wireless communication networks |
US9758183B2 (en) | 2014-09-30 | 2017-09-12 | Apple Inc. | Location fingerprinting for transit systems |
US10757671B2 (en) | 2014-09-30 | 2020-08-25 | Apple Inc. | Location fingerprinting for a transit system |
CN105445849A (en) * | 2016-01-04 | 2016-03-30 | 合肥京东方显示光源有限公司 | Light guide plate and manufacturing method thereof, backlight module, and display apparatus |
US10015639B2 (en) | 2016-03-22 | 2018-07-03 | Livio, Inc. | Vehicle seating zone assignment conflict resolution |
US9775100B1 (en) | 2016-03-22 | 2017-09-26 | Livio, Inc. | Passenger zone detection with signal strength data aided by physical signal barriers |
US9781575B1 (en) | 2016-03-30 | 2017-10-03 | Intel Corporation | Autonomous semantic labeling of physical locations |
US10609572B2 (en) | 2016-05-10 | 2020-03-31 | Wyebot, Inc. | Methods and systems for optimizing wireless network performance using behavioral profiling of network devices |
US10187751B2 (en) * | 2016-07-11 | 2019-01-22 | Veniam, Inc. | Systems and methods for vehicular positioning using adaptive wireless fingerprinting in a network of moving things including, for example, autonomous vehicles |
US10342067B2 (en) * | 2016-07-11 | 2019-07-02 | Veniam, Inc. | Systems and methods for vehicular positioning based on wireless fingerprinting data in a network of moving things including, for example, autonomous vehicles |
US10129691B2 (en) | 2016-10-14 | 2018-11-13 | OneMarket Network LLC | Systems and methods to determine a location of a mobile device |
US10200936B2 (en) | 2016-11-30 | 2019-02-05 | At&T Intellectual Property I, L.P. | Public/private indicator based access point connection permission |
EP3477982B1 (en) * | 2017-10-30 | 2021-12-22 | Hewlett-Packard Development Company, L.P. | Location based authentication |
US10334405B2 (en) * | 2017-10-31 | 2019-06-25 | Toyota Jidosha Kabushiki Kaisha | Identifying a geographic location for a stationary micro-vehicular cloud |
EP3506690A1 (en) | 2017-12-30 | 2019-07-03 | SIM Sp. z o.o. | A method and system of determining the location of radio terminals |
US11450196B2 (en) | 2018-09-18 | 2022-09-20 | PB, Inc. | XCB tracking devices, methods and systems |
US11567186B2 (en) | 2019-03-19 | 2023-01-31 | Kabushiki Kaisha Toshiba | Compensating radio tracking with comparison to image based tracking |
US20200322681A1 (en) * | 2019-04-08 | 2020-10-08 | Edge Networks, Inc. | Congestion Aware Hybrid File Transfer |
US11470448B2 (en) * | 2019-07-24 | 2022-10-11 | Red Point Positioning Corporation | Method and system to estimate and learn the location of a radio device |
US11059503B2 (en) | 2019-11-26 | 2021-07-13 | Willowglen Systems Inc. | Systems and methods for rail worker and rail vehicle warning and position determination |
TWI775186B (en) * | 2020-10-20 | 2022-08-21 | 財團法人資訊工業策進會 | Rf fingerprint signal processing device and rf fingerprint signal processing method |
US11619703B2 (en) * | 2020-12-02 | 2023-04-04 | Red Point Positioning Corporation | Method and system to select a process for estimating the location of a radio device |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0244929A (en) * | 1988-08-05 | 1990-02-14 | Nippon Telegr & Teleph Corp <Ntt> | Mobile body position detection method |
Family Cites Families (86)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0292182B1 (en) | 1987-05-15 | 1996-07-24 | Securicor Datatrak Limited | Mobile transmitter/receiver |
US5055851A (en) * | 1988-05-16 | 1991-10-08 | Trackmobile, Inc. | Vehicle location system |
JP2873320B2 (en) | 1989-09-19 | 1999-03-24 | 日本電信電話株式会社 | Mobile station sector determination method |
JP2833831B2 (en) | 1990-06-08 | 1998-12-09 | 日本電気株式会社 | Location registration method for wireless telephone system |
US5293642A (en) | 1990-12-19 | 1994-03-08 | Northern Telecom Limited | Method of locating a mobile station |
JPH0567996A (en) | 1991-09-09 | 1993-03-19 | Nec Corp | Automobile telephone set system |
US5293645A (en) | 1991-10-04 | 1994-03-08 | Sharp Microelectronics Technology, Inc. | Apparatus and method for locating mobile and portable radio terminals in a radio network |
DE4137000C2 (en) | 1991-11-11 | 1994-06-09 | Opel Adam Ag | Method for field strength-dependent evaluation of radio information for vehicles |
DE69321268T2 (en) | 1992-01-20 | 1999-05-20 | Nec Corp., Tokio/Tokyo | Personal localization system |
US5600706A (en) | 1992-04-08 | 1997-02-04 | U S West, Inc. | Method and system for determining the position of a mobile receiver |
US5390234A (en) | 1992-04-20 | 1995-02-14 | International Business Machines Corporation | Dynamic tracking of mobile stations in wireless networks |
US5524136A (en) | 1992-04-20 | 1996-06-04 | International Business Machines Corporation | Tracking mobile users in wireless networks |
US5592180A (en) | 1992-08-20 | 1997-01-07 | Nexus1994 Limited | Direction finding and mobile location system for trunked mobile radio systems |
SE469582B (en) * | 1992-08-28 | 1993-07-26 | Televerket | PROCEDURES AND DEVICES OF THE MOBILE TELECOMMUNICATIONS NETWORK TO DETERMINE A PREPARED CELL PLANNING |
US5596330A (en) | 1992-10-15 | 1997-01-21 | Nexus Telecommunication Systems Ltd. | Differential ranging for a frequency-hopped remote position determination system |
NO940977L (en) * | 1993-04-06 | 1994-10-05 | Alcatel Str Ag | Method and apparatus for ensuring the quality of service in a mobile radio system |
US5327144A (en) | 1993-05-07 | 1994-07-05 | Associated Rt, Inc. | Cellular telephone location system |
SE500769C2 (en) * | 1993-06-21 | 1994-08-29 | Televerket | Procedure for locating mobile stations in digital telecommunications networks |
JP2833967B2 (en) | 1993-07-23 | 1998-12-09 | 日本電気株式会社 | Cell phone position detection method |
US5404376A (en) | 1993-09-09 | 1995-04-04 | Ericsson-Ge Mobile Communications Inc. | Navigation assistance for call handling in mobile telephone systems |
US5548816A (en) | 1993-11-16 | 1996-08-20 | Astronet | Method and system for locating mobile units in a cellular telephone system by use of virtual location areas |
US5490288A (en) * | 1994-02-08 | 1996-02-06 | Motorola, Inc. | Method for determining low signal quality communications |
US5594782A (en) | 1994-02-24 | 1997-01-14 | Gte Mobile Communications Service Corporation | Multiple mode personal wireless communications system |
US5493286A (en) | 1994-03-10 | 1996-02-20 | Motorola, Inc. | Method for providing communications within a geographic region |
US5539924A (en) | 1994-03-10 | 1996-07-23 | Motorola, Inc. | Method for providing communications within a geographic region |
US5552795A (en) | 1994-05-03 | 1996-09-03 | Motorola, Inc. | Location determination method and system using multi-beam satellites |
NO942031L (en) * | 1994-06-01 | 1995-12-04 | Ericsson As Creative Engineeri | System for monitoring telephone networks and / or data communication networks, especially mobile telephone networks |
GB2290195B (en) | 1994-06-10 | 1998-08-05 | Northern Telecom Ltd | Automatic determination and tuning of pico-cell topology for low-power wireless systems |
US5508707A (en) | 1994-09-28 | 1996-04-16 | U S West Technologies, Inc. | Method for determining position by obtaining directional information from spatial division multiple access (SDMA)-equipped and non-SDMA-equipped base stations |
US5602903A (en) | 1994-09-28 | 1997-02-11 | Us West Technologies, Inc. | Positioning system and method |
US5570412A (en) | 1994-09-28 | 1996-10-29 | U.S. West Technologies, Inc. | System and method for updating a location databank |
US5461365A (en) | 1994-10-27 | 1995-10-24 | Schlager; Dan | Multi-hazard alarm system using selectable power-level transmission and localization |
US5650770A (en) | 1994-10-27 | 1997-07-22 | Schlager; Dan | Self-locating remote monitoring systems |
US5508708A (en) | 1995-05-08 | 1996-04-16 | Motorola, Inc. | Method and apparatus for location finding in a CDMA system |
US5657487A (en) | 1995-06-05 | 1997-08-12 | Airnet Communications Corporation | Mobile telephone location process making use of handoff data |
US5732354A (en) | 1995-06-07 | 1998-03-24 | At&T Wireless Services, Inc. | Method and apparatus for determining the location of a mobile telephone |
US5724660A (en) * | 1995-06-07 | 1998-03-03 | At&T Wireless Services, Inc. | Method and apparatus for locating a mobile station by comparing calculated location area with GPS coordinates |
US5717406A (en) * | 1995-06-07 | 1998-02-10 | Sanconix Inc. | Enhanced position calculation |
JPH09163441A (en) | 1995-12-06 | 1997-06-20 | Sony Corp | Portable telephone set and network for the same |
JP2865043B2 (en) | 1996-02-02 | 1999-03-08 | 日本電気株式会社 | Mobile radio telephone equipment |
CN1210590A (en) | 1996-02-05 | 1999-03-10 | 艾利森公司 | Terminal position location using multiple beams |
US6134448A (en) | 1996-03-05 | 2000-10-17 | Matushita Electric Industrial Co., Ltd | System for detecting positional information |
JP3025190B2 (en) * | 1996-03-06 | 2000-03-27 | リーダー電子株式会社 | How to measure and collect electric field strength |
GB2311697B (en) * | 1996-03-22 | 1999-07-28 | Matsushita Electric Ind Co Ltd | Wireless communication system and method and system for detection of position of radio mobile station |
GB2329801B (en) * | 1996-03-22 | 1999-07-28 | Matsushita Electric Ind Co Ltd | System for detection of position of radio mobile station |
US5675344A (en) | 1996-06-28 | 1997-10-07 | Motorola, Inc. | Method and apparatus for locating a mobile station in a spread spectrum communication system |
US6236365B1 (en) | 1996-09-09 | 2001-05-22 | Tracbeam, Llc | Location of a mobile station using a plurality of commercial wireless infrastructures |
AU4338597A (en) | 1996-09-09 | 1998-03-26 | Dennis Jay Dupray | Location of a mobile station using a plurality of commercial wireless infrastructures |
US6249252B1 (en) | 1996-09-09 | 2001-06-19 | Tracbeam Llc | Wireless location using multiple location estimators |
FI104528B (en) | 1996-10-03 | 2000-02-15 | Nokia Networks Oy | Procedure for locating a mobile station, and cellular radio network |
AU726718B2 (en) * | 1996-11-18 | 2000-11-16 | Nokia Telecommunications Oy | Monitoring traffic in a mobile communication network |
US6026304A (en) * | 1997-01-08 | 2000-02-15 | U.S. Wireless Corporation | Radio transmitter location finding for wireless communication network services and management |
US6064339A (en) * | 1997-01-08 | 2000-05-16 | Us Wireless Corporation | Subspace signature matching for location ambiguity resolution in wireless communication systems |
US6108557A (en) * | 1997-01-08 | 2000-08-22 | Us Wireless Corporation | Signature matching for location determination in wireless communication systems |
KR20000076132A (en) | 1997-03-11 | 2000-12-26 | 고시마 히로아키 | Field intensity distribution generator |
US6108315A (en) * | 1997-05-06 | 2000-08-22 | Motorola, Inc. | Radio network and method of operation with location computation |
US6195556B1 (en) | 1997-07-15 | 2001-02-27 | Metawave Communications Corporation | System and method of determining a mobile station's position using directable beams |
US5926133A (en) * | 1997-07-21 | 1999-07-20 | Denso Corporation | Differentially corrected position location system and method for mobile communication networks |
CN1267262A (en) | 1997-08-20 | 2000-09-20 | 株式会社洛克斯 | Positioning system and mobile communication device |
JPH11178039A (en) | 1997-12-09 | 1999-07-02 | Locus:Kk | Position specifying system |
JPH11178066A (en) | 1997-12-12 | 1999-07-02 | Nippon Telegr & Teleph Corp <Ntt> | Navigation system and location detection method thereof |
JPH11205845A (en) | 1998-01-14 | 1999-07-30 | Locus:Kk | Position specifying system |
US6799046B1 (en) * | 1998-06-10 | 2004-09-28 | Nortel Networks Limited | Method and system for locating a mobile telephone within a mobile telephone communication network |
WO2000002408A1 (en) | 1998-07-06 | 2000-01-13 | Locus Corporation | Mobile terminal, locator, system using the same, and method of locating mobile terminal |
US6246884B1 (en) * | 1998-08-19 | 2001-06-12 | Sigmaone Communications Corporation | System and method for measuring and locating a mobile station signal in a wireless communication system |
US6496701B1 (en) * | 1998-08-25 | 2002-12-17 | Lucent Technologies Inc. | Pattern-recognition-based geolocation |
US7257414B2 (en) * | 1998-09-22 | 2007-08-14 | Polaris Wireless, Inc. | Estimating the Location of a Wireless Terminal Based on Non-Uniform Probabilities of Movement |
US6393294B1 (en) * | 1998-09-22 | 2002-05-21 | Polaris Wireless, Inc. | Location determination using RF fingerprinting |
WO2000023812A1 (en) * | 1998-10-20 | 2000-04-27 | Koninklijke Philips Electronics N.V. | Magnetic resonance imaging apparatus including a gradient coil system with a correction coil |
US6782262B1 (en) | 1998-10-28 | 2004-08-24 | Telefonaktiebolaget Lm Ericsson | Self-tuning sufficient signal strength threshold |
US6748224B1 (en) * | 1998-12-16 | 2004-06-08 | Lucent Technologies Inc. | Local positioning system |
US6799047B1 (en) * | 1999-02-25 | 2004-09-28 | Microsoft Corporation | Locating and tracking a user in a wireless network through environmentally profiled data |
WO2000050918A2 (en) | 1999-02-25 | 2000-08-31 | Microsoft Corporation | Method and computer-readable medium for locating and tracking a user in a wireless network through environmentally profiled data |
US6564065B1 (en) | 1999-04-20 | 2003-05-13 | Lucent Technologies Inc. | Bayesian-update based location prediction method for CDMA systems |
US6411892B1 (en) * | 2000-07-13 | 2002-06-25 | Global Locate, Inc. | Method and apparatus for locating mobile receivers using a wide area reference network for propagating ephemeris |
US6263208B1 (en) * | 1999-05-28 | 2001-07-17 | Lucent Technologies Inc. | Geolocation estimation method for CDMA terminals based on pilot strength measurements |
AU2002335697A1 (en) | 2001-09-05 | 2003-03-18 | Newbury Networks, Inc. | Position detection and location tracking in a wireless network |
US6873852B2 (en) * | 2002-01-10 | 2005-03-29 | Telefonaktiebolaget Lm Ericsson (Publ) | System and method of estimating the position of a mobile terminal in a radio telecommunications network |
US7064660B2 (en) * | 2002-05-14 | 2006-06-20 | Motorola, Inc. | System and method for inferring an electronic rendering of an environment |
FI114535B (en) | 2002-07-10 | 2004-10-29 | Ekahau Oy | positioning Technology |
JP3829784B2 (en) | 2002-09-19 | 2006-10-04 | 日本電信電話株式会社 | POSITION DETECTION METHOD AND SYSTEM AND RADIO COMMUNICATION DEVICE |
US7250907B2 (en) * | 2003-06-30 | 2007-07-31 | Microsoft Corporation | System and methods for determining the location dynamics of a portable computing device |
US7346359B2 (en) * | 2003-07-31 | 2008-03-18 | Pango Networks, Inc. | Method for RF fingerprinting |
WO2006031035A1 (en) | 2004-09-17 | 2006-03-23 | Radiant Technologies, Inc. | System and method for determining position of mobile communication device by grid-based pattern matching algorithm |
JP2007537613A (en) | 2004-09-17 | 2007-12-20 | ラディアント テクノロジーズ,インク. | Method and system for determining position of mobile communication terminal |
US7257412B2 (en) * | 2005-04-25 | 2007-08-14 | Mediatek Inc. | Methods and systems for location estimation |
-
2000
- 2000-03-22 US US09/532,418 patent/US6393294B1/en not_active Expired - Lifetime
-
2001
- 2001-03-21 WO PCT/US2001/009253 patent/WO2001072060A1/en active Application Filing
- 2001-03-21 EP EP01924271A patent/EP1273184A4/en not_active Withdrawn
- 2001-03-21 AU AU2001250941A patent/AU2001250941A1/en not_active Abandoned
-
2002
- 2002-04-22 US US10/128,128 patent/US6782265B2/en not_active Expired - Lifetime
-
2004
- 2004-08-03 US US10/910,511 patent/US7167714B2/en not_active Expired - Lifetime
- 2004-08-23 US US10/924,040 patent/US7725111B2/en not_active Expired - Lifetime
-
2010
- 2010-05-18 US US12/782,500 patent/US8068855B2/en not_active Expired - Lifetime
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0244929A (en) * | 1988-08-05 | 1990-02-14 | Nippon Telegr & Teleph Corp <Ntt> | Mobile body position detection method |
Cited By (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1980125A1 (en) * | 2006-02-03 | 2008-10-15 | TELEFONAKTIEBOLAGET LM ERICSSON (publ) | Method and arrangement for high precision position reference measurements at indoor locations |
EP1980125A4 (en) * | 2006-02-03 | 2013-09-25 | Ericsson Telefon Ab L M | Method and arrangement for high precision position reference measurements at indoor locations |
EP2262331B1 (en) * | 2006-06-09 | 2019-08-07 | Vodafone Holding GmbH | Determining the position of mobile terminals in a mobile telephone network and uses therefor |
EP1865740B1 (en) * | 2006-06-09 | 2019-05-08 | Vodafone Holding GmbH | Determining the position of mobile terminals in a mobile telephone network and uses therefor |
WO2008029137A1 (en) * | 2006-09-07 | 2008-03-13 | Zone Tracker Limited | Location identification system and method for a mobile communications network |
US9386408B2 (en) | 2008-04-02 | 2016-07-05 | Qualcomm Incorporated | Generic positioning protocol |
US8660574B2 (en) | 2008-04-02 | 2014-02-25 | Qualcomm Incorporated | Generic positioning protocol |
US9832612B2 (en) | 2008-04-02 | 2017-11-28 | Qualcomm Incorporated | Generic positioning protocol |
EP2394369A2 (en) * | 2009-02-04 | 2011-12-14 | QUALCOMM Incorporated | Adjustable receive filter responsive to frequency spectrum information |
US8660540B2 (en) | 2009-04-21 | 2014-02-25 | Qualcomm Incorporated | Supporting version negotiation for positioning for terminals in a wireless network |
US9867161B2 (en) | 2009-04-21 | 2018-01-09 | Qualcomm Incorporated | Method and apparatus for supporting positioning for terminals in a wireless network |
US11419090B2 (en) | 2009-04-21 | 2022-08-16 | Qualcomm Incorporated | Method and apparatus for supporting positioning for terminals in a wireless network |
US10863475B2 (en) | 2009-04-21 | 2020-12-08 | Qualcomm Incorporated | Method and apparatus for supporting positioning for terminals in a wireless network |
US10834696B2 (en) | 2009-04-21 | 2020-11-10 | Qualcomm Incorporated | Method and apparatus for supporting positioning for terminals in a wireless network |
US10149275B2 (en) | 2009-04-21 | 2018-12-04 | Qualcomm Incorporated | Method and apparatus for supporting positioning for terminals in a wireless network |
US9398442B2 (en) | 2009-04-21 | 2016-07-19 | Qualcomm Incorporated | Supporting version negotiation for positioning for terminals in a wireless network |
US9435874B2 (en) | 2009-04-21 | 2016-09-06 | Qualcomm Incorporated | Method and apparatus for supporting positioning for terminals in a wireless network |
WO2012178016A1 (en) * | 2011-06-22 | 2012-12-27 | Qualcomm Incorporated | Wireless device positioning in multicarrier configurations |
CN103609180A (en) * | 2011-06-22 | 2014-02-26 | 高通股份有限公司 | Wireless device positioning in multicarrier configurations |
US9363782B2 (en) | 2011-06-22 | 2016-06-07 | Qualcomm Incorporated | Methods and apparatus for wireless device positioning in multicarrier configurations |
WO2013124161A1 (en) * | 2012-02-09 | 2013-08-29 | Arieso Limited | Mobile geolocation |
US9078228B2 (en) | 2012-02-09 | 2015-07-07 | Jdsu Uk Limited | Mobile geolocation |
WO2014057458A3 (en) * | 2012-10-11 | 2014-07-03 | Telefonaktiebolaget L M Ericsson (Publ) | Method and system of semantic indoor positioning using significant places as satellites |
US8989774B2 (en) | 2012-10-11 | 2015-03-24 | Telefonaktiebolaget L M Ericsson (Publ) | Method and system of semnatic indoor positioning using significant places as satellites |
US9703274B2 (en) | 2012-10-12 | 2017-07-11 | Telefonaktiebolaget L M Ericsson (Publ) | Method for synergistic occupancy sensing in commercial real estates |
GB2516832A (en) * | 2013-07-31 | 2015-02-11 | Here Global Bv | Method and apparatus for determining quality of radio maps |
US10863452B2 (en) | 2018-12-12 | 2020-12-08 | Rohde & Schwarz Gmbh & Co. Kg | Method and radio for setting the transmission power of a radio transmission |
Also Published As
Publication number | Publication date |
---|---|
EP1273184A1 (en) | 2003-01-08 |
AU2001250941A1 (en) | 2001-10-03 |
US8068855B2 (en) | 2011-11-29 |
US20050037776A1 (en) | 2005-02-17 |
US6782265B2 (en) | 2004-08-24 |
EP1273184A4 (en) | 2003-05-02 |
US6393294B1 (en) | 2002-05-21 |
US20030008668A1 (en) | 2003-01-09 |
US7725111B2 (en) | 2010-05-25 |
US7167714B2 (en) | 2007-01-23 |
US20040259575A1 (en) | 2004-12-23 |
US20100227626A1 (en) | 2010-09-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6782265B2 (en) | Location determination using RF fingerprinting | |
US7383051B2 (en) | Estimating the location of a mobile unit based on the elimination of improbable locations | |
US6269246B1 (en) | Location determination using RF fingerprinting | |
US7298327B2 (en) | Geographic location using multiple location estimators | |
US9134398B2 (en) | Wireless location using network centric location estimators | |
EP2111721B1 (en) | System and method for generating non-uniform grid points from calibration data | |
US6249252B1 (en) | Wireless location using multiple location estimators | |
US20030146871A1 (en) | Wireless location using signal direction and time difference of arrival | |
US20060232472A1 (en) | Location determination utilizing environmental factors | |
GB2354129A (en) | Location of a mobile station | |
GB2563825A (en) | Localization of mobile devices | |
US20170339657A1 (en) | Production system and method for location-aware environment | |
KR20210079882A (en) | Method for Estimating Distance Using Channel Amplitude Infomration Estimated from LTE signal Based on Neural Network | |
CN117192589A (en) | 5 G+Beidou fusion positioning method based on neural network | |
EP1765031A1 (en) | Method, system, network and computer program product for positioning in a mobile communications network | |
JP2023510936A (en) | Method for locating a signal source within a wireless network | |
CN115237963A (en) | Training method, device, equipment and storage medium for user position positioning model | |
Quah et al. | Location cluster with nearest neighbors in signal space: An implementation in mobile service discovery and tracking |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AK | Designated states |
Kind code of ref document: A1 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DE DK DM DZ EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT TZ UA UG UZ VN YU ZA ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: A1 Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE TR BF BJ CF CG CI CM GA GN GW ML MR NE SN TD TG |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
DFPE | Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101) | ||
WWE | Wipo information: entry into national phase |
Ref document number: 2001924271 Country of ref document: EP |
|
WWP | Wipo information: published in national office |
Ref document number: 2001924271 Country of ref document: EP |
|
NENP | Non-entry into the national phase |
Ref country code: JP |