The present invention relates generally to communication networks. More specifically, the present invention relates to a system for providing a location in a wireless communication network.
Feature cell phones and other mobile subscriber devices may rely on telecommunication carrier (telco) cell tower location interpolation to derive location. The locate that is returned is a tuple, consisting of a latitude, longitude, and predicted accuracy of the latitude, longitude with respect to the actual location of the device at the time the location was derived. For some telcos, the average predicted accuracy of the locates is poor, with upwards of 45% having an accuracy worse than being in a radius of 0.2 miles from the actual location of the cell phone. Devices which rely on GPS technology, for example most smart phones, may also return poor accuracy locates. The algorithms and methods presented here will be applicable to these locates as well. Cell tower locates are derived from location interpolation, which utilizes the fixed location of at least 3 cell towers, combined with the signal strength between each cell tower and a given phone, to interpolate the location of that cell phone. GPS locates are derived from at least 3 satellites at fixed locations around the earth, and uses the time it takes for a signal to travel between a satellite and a given cell phone to determine the distance between that satellite and the cell phone. Measurements corresponding to a plurality of satellites are then used to determine the location of the cell phone.
There exists a need for an improved system and method for providing location information to a subscriber device.
A computer implemented method for determining the location of a target device is disclosed. A locate request is received for the target device. The locate request is forwarded. A locate for the target device in response to the locate request is received, the locate including a location and a location accuracy. The received location accuracy is compared with an accuracy threshold, and a calculated location of the target device is forwarded when the received location accuracy is not within the accuracy threshold.
A more detailed understanding of the disclosed system and method may be had from the following description, given by way of example and to be understood in conjunction with the accompanying drawing.
Although the features and elements are described in particular combinations, each feature or element can be used alone (without the other feature or elements) or in various combinations with or without other features and elements.
A system and method are disclosed for determining the location of a target device.
Referring to
Telco 120, in communication with the target device 140 and the location server 110, receives the locate request from the location server 110 and processes the location of the target device 140. The Telco 120 determines the accuracy of the processed location and forwards the locate, including the location and the determined accuracy, to the location server 110. The accuracy of the location processed by the Telco 120 may be determined for example as a function of the strength of the signal received by the Telco 120 from device 140.
The location server 110 receives the location and accuracy information from the Telco 120. The processor 111 then determines whether the accuracy of the received location is above an accuracy threshold. The accuracy threshold may be any value, such as a maximum radial distance around the actual location. In accordance with the disclosed method, the accuracy threshold is 0.2 mile radius around the actual location of the target device.
If the accuracy of the location of the target device 140 is within the accuracy threshold, the location server 110 forwards the location of the target device 140 to the subscriber device 130 as requested.
If the accuracy of the location of the target device 140 is not within the accuracy threshold, the location server 110 forwards a set of locate requests for the location of the target device 140 to the Telco 120. The Telco 120 again processes the location information from the target device 140 for each locate request in the set, determines the accuracy of the location, and forwards the set of locates to the location server 110. In accordance with the disclosed method, the set of locates includes N locate requests, N being any number, for example N=7.
In the disclosed method, each locate request in the set of locates may be performed serially, such that the next locate request is performed once the prior locate request has been completed by the Telco 120. Locates, in accordance with the disclosed method, may be described as tuples, (i.e., latitudei, longitudei, accuracyi), where i ranges from 1 to N.
The location server 110 collects the set of locates from the Telco 120 and derives a weighted centroid of the set of locates. The weighted centroid may be calculated using the following:
CentroidLatitude=Σ(S−accuracyi)/(S*(N−1))*latitudei;
CentroidLongitude=Σ(S−accuracyi)/(S*(N−1))*longitudei;
where S=Σaccuracyi, with the summation taken over i=1 to N. The CentroidLatitude and CentroidLongitude may then be used by the location server 110 as the predicted actual locate for the target device 140.
Once the predicted actual locate for the target device 140 is derived, the location server 110 forwards the predicted actual locate to the subscriber device 130.
The location server then determines whether the received location accuracy is within an accuracy threshold, Step 203. If the location accuracy is within the accuracy threshold, the location server forwards the location of the target device to the subscriber device, Step 204.
If the location accuracy is not within the accuracy threshold, the location server forwards a determined number of locate requests for the target device to the Telco, Step 205. The Telco processes the location information for each of the N locate requests and forwards the set of locates, including the location information, to the location server, Step 206. The location server may then determine the location of the target device by calculating a weighted centroid of the set of locates, Step 207. Once the location server determines the location, the location server forwards the derived location of the target device to the subscriber device, Step 204.
In an alternative method, N may be adaptive. For example, if S/N is smaller than 0.2 mi, then fewer points may be used to derive the centroid. N may also be adapted to overall usage patterns. If the number of retrieved locates is high at a particular time, N can be decreased to adapt to the load on the Telco 120.
In another alternative, there may be situations for which it is known that higher locate accuracy may be required, or contra-wise, a lower degree of locate accuracy may be tolerable. For example, if the history of when locates are requested from a subscriber device is maintained at the location server, then locate requests by the subscriber device at an unusual time may require a higher degree of accuracy than normal. The subscriber device may also provide supply hints as to when a higher degree of locate accuracy is required.
The location server, in an alternative method, may determine the location of the target device using past history. The location server may maintain the past history of locates of the target device. Based on the past history, if there is a high likelihood that the target device will be at a particular location at a particular time, and a locate request returns a location of the target device that is near that particular location at the particular time, the location server may deduce that the target device 140 is at that particular location. Accordingly, the location server would forward the location to the subscriber device based on this deduction.
If the system has access to tagged landmarks, and a history is maintained such that the target device has a statistical likelihood of being near a particular location at a particular time, and the target device is in fact near such a landmark at that particular time, then it can be deduced that the phone is at that landmark.
Number | Name | Date | Kind |
---|---|---|---|
5485163 | Singer | Jan 1996 | A |
7995988 | Filizola et al. | Aug 2011 | B2 |
8447325 | Anakata et al. | May 2013 | B2 |
8504057 | Choi | Aug 2013 | B2 |
20030060197 | Benes | Mar 2003 | A1 |
20060223518 | Haney | Oct 2006 | A1 |
20070037582 | Mohi et al. | Feb 2007 | A1 |
20070298793 | Dawson | Dec 2007 | A1 |
20080068257 | Mizuochi | Mar 2008 | A1 |
20080133599 | Stewart et al. | Jun 2008 | A1 |
20080171555 | Oh et al. | Jul 2008 | A1 |
20080254810 | Fok et al. | Oct 2008 | A1 |
20080261622 | Lee et al. | Oct 2008 | A1 |
20090287546 | Gillespie et al. | Nov 2009 | A1 |
20100130232 | Dingler et al. | May 2010 | A1 |
20120015665 | Farley | Jan 2012 | A1 |
20130179114 | Weiss | Jul 2013 | A1 |
20140018111 | Farley et al. | Jan 2014 | A1 |
20150163766 | Weiss et al. | Jun 2015 | A1 |
Entry |
---|
Yu-Chung Cheng, et al., “Accuracy characterization for metropolitan-scale Wi-Fi localization”, 2005 MobiSys '05 Proceedings of the 3rd international conference on Mobile systems, applications, and services pp. 233-245. |
Basics of the GPS Technique: Observation Equations, Geoffrey Blewitt, Department of Geomatics, University of Newcastle upon Tyne, NE1 7RU, United Kingdom, geoffrey.blewitt@ncl.ac.uk. |
Number | Date | Country | |
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20130179114 A1 | Jul 2013 | US |