The location of a mobile, wireless or wired device is a useful and sometimes necessary part of many services. A Location Information Server (“LIS”) may be responsible for providing location information to such devices with an access network. The LIS may utilize knowledge of the access network and its physical topology to generate and serve location information to devices.
The LIS, in general terms, is a network node originally defined in the National Emergency Number Association (“NENA”) i2 network architecture addressing a solution for providing E-911 service for users of Voice over Internet Protocol (“VoIP”) telephony. In VoIP networks, the LIS is the node that determines the location of the VoIP terminal. Beyond the NENA architecture and VoIP, the LIS is a service provided by an access network provider to supply location information to users of the network by utilizing knowledge of network topology and employing a range of location determination techniques to locate devices attached to the network. The precise methods used to determine location are generally dependent on the type of access network and the information that can be obtained from the device. For example, in a wired network, such as Ethernet or DSL, a wiremap method is commonplace. In wiremap location determination, the location of a device may be determined by finding which cables are used to send packets to the device. This involves tracing data through aggregation points in the network (e.g., Ethernet switches, DSL access nodes) and finding the port for which packets are sent to the device. This information is combined with data available to the LIS (generally extracted from a database) to determine a final location of the device.
In wireless networks, a range of technologies may be applied for location determination, the most basic of which uses the location of the radio transmitter as an approximation. The Internet Engineering Task Force (“IETF”) and other standards forums have defined various architectures and protocols for acquiring location information from an LIS. In such networks, an LIS may be automatically discovered and location information retrieved using network specific protocols. Location information may be retrieved directly or the LIS may generate temporary uniform resource identifiers (“URI”) utilized to provide location indirectly (i.e., location URI). Geodetic and civic positions of a mobile device may be determined as a function of location information from the LIS. There is, however, a need in the art to overcome the limitations of the prior art and provide a novel system and method for providing location services for multiple access networks from a single location server.
One embodiment of the present subject matter provides a method for determining the location of a target device attached to an access network connected to a location server, the location server having a plurality of access networks connected thereto. The method may comprise receiving a location request for a target device, identifying the target device as a function of one or more parameters, and identifying an access network from the plurality of access networks to which the target device is attached as a function of the one or more parameters. Each access network in the plurality of access networks connected to the location server may be assigned one or more logical identifiers by which an individual location request may be allocated to the respective access network. An estimated location of the target device may then be determined as a function of the one or more logical identifiers using a location algorithm appropriate for the identified access network.
Another embodiment of the present subject matter provides a method for locating a target device attached to an access network in a system having a plurality of distinct access networks connected thereto. The method includes receiving a location request for the target device and serving the plurality of distinct access networks using a single location server without regard to underlying protocols employed by the access networks and target device.
A further embodiment of the present subject matter provides a system having a location server with a plurality of location generators for receiving location requests for target devices and for determining a location of the target devices, the location requests having one or more parameters and being classified into location groups having as a function of at least one common parameter. The location server may also include a plurality of location determination functions for each location generator. The system may include a plurality of access networks connected to the location server, each access network being associated with a location generator as a function of a range of logical identifiers by which a location request may be allocated to the respective access network, wherein the location groups restrict a range of target devices locatable by a location request as a function of said one or more parameters, and wherein each location determination function corresponds to a location algorithm appropriate for a respective access network.
These embodiments and many other objects and advantages thereof will be readily apparent to one skilled in the art to which the invention pertains from a perusal of the claims, the appended drawings, and the following detailed description of the embodiments.
Various aspects of the present disclosure will be or become apparent to one with skill in the art by reference to the following detailed description when considered in connection with the accompanying exemplary non-limiting embodiments.
With reference to the figures where like elements have been given like numerical designations to facilitate an understanding of the present subject matter, the various embodiments of a system and method for providing location services for multiple access networks from a single location server are herein described.
As generally discussed above, the Location Information Server (“LIS”) is a network server that provides devices with information about their location. The phrases and respective acronyms of Location Information Server (“LIS”) and Location Server (“LS”) are used interchangeably throughout this document and such should not limit the scope of the claims appended herewith. Devices that require location information are able to request their location from the LIS. In the architectures developed by the IETF, NENA and other standards forums, the LIS may be made available in an exemplary IP access network connecting one or more target devices to the Internet. In other modes of operation, the LIS may also provide location information to other requesters relating to a target device. To determine location information for a target device, an exemplary LIS may utilize a range of methods. The LIS may use knowledge of network topology, private interfaces to networking devices like routers, switches and base stations, and location determination algorithms. Exemplary algorithms may include known algorithms to determine the location of a mobile device as a function of satellite information, satellite assistance data, various downlink or uplink algorithms such as, but not limited to, time difference of arrival (“TDOA”), time of arrival (“TOA”), angle of arrival (“AOA”), round trip delay (“RTD”), signal strength, advanced forward link trilateration (“AFLT”), enhanced observed time difference (“EOTD”), observed time difference of arrival (“OTDOA”), uplink-TOA and uplink-TDOA, enhanced cell/sector and cell-ID, etc., and hybrid combinations thereof.
A location server according to an embodiment of the present subject matter may utilize a range of inputs in order to determine location information for the target device. From a request made of the location server, the location server may determine one or more parameters, e.g., Internet Protocol (“IP”) and Media Access Control (“MAC”) addresses, that uniquely identify the target mobile device. This identification information may be used as an input to an exemplary measurement collection process that produces further information in the form of measurements or measurement results. Measurement information may be data already known to the location server, additional parameters that identify the target mobile device in other ways, and/or parameters relating to the network attachment of the target mobile device. Non-limiting examples include the MAC address of the device, the identity of network nodes from which network traffic to and from the device transits (including any physical connections involved), the location of network intermediaries (e.g., wiring maps), radio timing, signal strength measurements and other terrestrial radio frequency information, and network configuration parameters, to name a few.
Protocols such as Flexible LIS-ALE Protocol (“FLAP”) are being developed in the Alliance for Telecommunications Industry Solutions (“ATIS”) forum to provide a formal definition of location-related measurements for different types of access networks. FLAP generally facilitates transfer of values of location measurement parameters from a network to the LIS to enable the latter to compute the location of an IP end-device. The LIS may interact with an Access Location Entity (“ALE”) residing in an access network to retrieve location measurements. Location information may be retrieved directly or the LIS may generate temporary uniform resource identifiers (“URI”) utilized to provide location indirectly (i.e., location URI). Geodetic, civic positions and location URIs for a mobile device may be determined as a function of location information from the LIS. A request for geodetic and/or civic locations may provide location information at the time the location request is made. A location URI may be passed to another party which can utilize it to retrieve the target device's location at a later time, typically from the same location server that provided the location URI.
There are many models in which an LIS may be utilized. For example,
With reference to
An LS according to a preferred embodiment of the present subject matter may be responsible for providing location information about target devices in one or more access networks for which the LS is responsible. The LS may uniquely identify a target device in an access network as a function of a Target Identifier (“Target-ID”). Examples of Target-IDs may be, but are not limited to, IP and MAC addresses. Generally, a set of Target-ID types for a given access network type is small. Knowledge of the type of access network means that the types of Target-IDs that may be utilized are also known, and having an instance of an access network means that the ranges of Target-IDs may be known. Thus, embodiments of the present subject matter provide an LS adaptable to select the correct access network once a Target-ID is known.
Thus, a system according to one embodiment of the present subject matter may include a single location server serving multiple and/or distinct access networks. Within the location server, each served access network may be provided with a corresponding logical representation, and associated with this logical access network are the resources within that respective access network the location server may employ. For example, each logical access network may include a separate set of configurations that include all the information necessary for the location server to provide location information to devices within that access network. Similarly, a method according to an embodiment of the present subject matter may upon receiving a location request, identify a target device by the location server. Exemplary identifier information available to the location server may include information explicitly provided by a requester and/or implicitly provided identifier information such as, but not limited to, source addressing information included in the respective request packets. Identifiers may also include both permanent attributes of the device and temporary addressing information, e.g., MAC addresses, IP addresses, Ethernet Hardware Addresses, hardware addresses, adapter addresses, and/or other hardware or software addresses.
An exemplary location server may then utilize the identification information to determine the access network to which the target device is attached. Each logical access network within the location server may be assigned a range or set of identifiers by which an individual request may be allocated to that access network. In certain embodiments of the present subject matter, the location server may need to gather additional information necessary to identify the access network. Some exemplary additional information may be external to the network; thus in one embodiment, the identification of the access network may include collecting information external to the access network. This information may be provided by a database. Additionally, this information external to the access network may require the use of a network protocol query to procure. Once the access network serving the target device has been identified, the location server may then apply methods appropriate to the access network in determining a location of the device. Thus, embodiments of the present subject matter provide an ability to serve disparate types of access networks from the same location server, and while the methods appropriate to these different types of access networks may be significantly different, being able to identify the access network may enable disparate networks to be served from the same location server. In one embodiment, separation of access networks may be provided for access networks having the same type. Additionally, different access networks may also be completely partitioned whereby the same location server may provide service for two or more access networks without mixing information from the respective networks.
An LS 310 according to an embodiment of the present subject matter may be designed and produced with a predetermined number or type(s) of access network with which to interface. It is the type of access network which governs the measurements that may be taken, and hence the location determination algorithms that may be employed by the LS 310. As the types of access network that the LS may be deployed in are known, the MA types 334, ALE types 332, FLAP schema-types 338, and location determination function (“LDF”) types are all known thus simplifying data-fill options.
Any query of the LS for the location of a target device may be referred to as a Location Client (“LC”) 430. Examples of an LC 430 include, but are not limited to, a target device requesting its own location, or an authorized third party requesting the location of a target device. LCs 430 may be classified into groups, referred to as LC-Groups 432.
The LS provides service by making a HELD Service 440 accessible to networks from which it will permit LCs 430 to connect. An LC 430 is identified when it connects to the LS by a combination of the HELD Service 440 to which it connects and the authentication credentials the LC 430 provides to the LS (which may include none). The LC-Group 432 governs the access networks 420 in which location determination may occur and may thus restrict the range of target devices locatable by a set of LCs. This may be accomplished by data-filling access network to Location Generator pairs into the LC-Group 432. Each access network 420 generally possesses a single Location Generator 410 in a given LC-Group 432. The correct access network 420 may be identified by the Target-ID included in the location request. Thus, embodiments of the present subject matter stem from the abstraction illustrated in
At step 510, a location request may be received for a target device, and at step 520 the target device may be identified as a function of one or more parameters. Exemplary parameters may be any one, range or set of Internet Protocol addresses, Media Access Control addresses, Ethernet Hardware Address, hardware address, adapter address, other hardware or software addresses, information provided by a requester, source addressing information included in a location request packet, and combinations thereof. In one embodiment, step 510 may further include classifying a received location request into a group, the group having one or more common identifiers. At step 530, an access network may be identified from the plurality of access networks to which the target device is attached as a function of the one or more parameters. In certain embodiments of the present subject matter, the LS may need to gather additional information necessary to identify the access network. Some exemplary additional information may also be external to the network; thus in one embodiment, step 530 may include identifying an access network by collecting information external to the access network. This information may be external to the access network and may be provided by a database. Additionally, this information external to the access network may require the use of a network protocol query to procure.
Each access network in the plurality of access networks connected to the location server may be assigned at step 540 one or more logical identifiers by which an individual location request may be allocated to the respective access network. At step 550, an estimated location of the target device may then be determined as a function of the one or more logical identifiers using a location algorithm appropriate for the identified access network. The location of the device may thus be determined as a function of satellite information, satellite assistance data, TDOA, TOA, AOA, RTD, signal strength, AFLT, EOTD, OTDOA, uplink/downlink-TOA and uplink/downlink-TDOA, enhanced cell/sector and cell-ID, or hybrid combinations thereof. One embodiment of the present subject matter may include the step of formatting a location response and providing the response to a requesting entity. This location response may be formatted as a PIDF-LO.
It is thus an object of embodiments of the present subject matter to enable cost-effective deployment of location servers in a central location to serve multiple and/or different access networks. Another object of embodiments of the present subject matter is to enable a consolidation of multiple location servers, from geographically diverse access networks.
Further, the manipulations performed are often referred to in terms, such as “receiving,” “identifying,” “assigning,” “determining,” and the like, may commonly be associated with mental or physical operations performed by a human operator; however, no such capability of a human operator is possible or desirable in most cases of the operations described herein. As indicated herein, these operations are primarily machine operations. Useful machines for performing operations of a preferred embodiment of the present subject matter include data-processing systems, servers, etc. The present subject matter relating to method steps for processing signals to generate other desired signals can generally be implemented via a computer or microcomputer.
As shown by the various configurations and embodiments illustrated in
While preferred embodiments of the present subject matter have been described, it is to be understood that the embodiments described are illustrative only and that the scope of the invention is to be defined solely by the appended claims when accorded a full range of equivalence, many variations and modifications naturally occurring to those of skill in the art from a perusal hereof.
The instant application claims the priority benefit of and is co-pending with U.S. Provisional Application No. 61/109,068, entitled, “Providing Location Service for Multiple Access Networks from a Single Location Server,” filed Oct. 28, 2008, the entirety of which is incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
3150372 | Groth, Jr. | Sep 1964 | A |
3659085 | Potter et al. | Apr 1972 | A |
4728959 | Maloney | Mar 1988 | A |
4814751 | Hawkins | Mar 1989 | A |
4845504 | Roberts et al. | Jul 1989 | A |
4891650 | Sheffer | Jan 1990 | A |
5056106 | Wang | Oct 1991 | A |
5218618 | Sagey | Jun 1993 | A |
5317323 | Kennedy et al. | May 1994 | A |
5327144 | Stilp et al. | Jul 1994 | A |
5365544 | Schilling | Nov 1994 | A |
5372144 | Mortier et al. | Dec 1994 | A |
5404376 | Dent | Apr 1995 | A |
5423067 | Manabe | Jun 1995 | A |
5465289 | Kennedy | Nov 1995 | A |
5506863 | Meidan et al. | Apr 1996 | A |
5506864 | Schilling | Apr 1996 | A |
5508708 | Ghosh et al. | Apr 1996 | A |
5512908 | Herrick | Apr 1996 | A |
5515419 | Sheffer | May 1996 | A |
5519760 | Borkowski et al. | May 1996 | A |
5559864 | Kennedy | Sep 1996 | A |
5592180 | Yokev et al. | Jan 1997 | A |
5608410 | Stilp et al. | Mar 1997 | A |
5614914 | Bolgiano et al. | Mar 1997 | A |
5675344 | Tong et al. | Oct 1997 | A |
5736964 | Ghosh et al. | Apr 1998 | A |
5815538 | Grell et al. | Sep 1998 | A |
5825887 | Lennen | Oct 1998 | A |
5870029 | Otto et al. | Feb 1999 | A |
5920278 | Tyler et al. | Jul 1999 | A |
5952969 | Hagerman et al. | Sep 1999 | A |
5959580 | Maloney et al. | Sep 1999 | A |
5960341 | LeBlanc et al. | Sep 1999 | A |
5973643 | Hawkes et al. | Oct 1999 | A |
5987329 | Yost | Nov 1999 | A |
6014102 | Mitzlaff et al. | Jan 2000 | A |
6047192 | Maloney | Apr 2000 | A |
6091362 | Stilp | Jul 2000 | A |
6097336 | Stilp | Aug 2000 | A |
6097709 | Kuwabara | Aug 2000 | A |
6097959 | Yost | Aug 2000 | A |
6101178 | Beal | Aug 2000 | A |
6108555 | Maloney et al. | Aug 2000 | A |
6108558 | Vanderspool, II | Aug 2000 | A |
6115599 | Stilp | Sep 2000 | A |
6115605 | Siccardo et al. | Sep 2000 | A |
6119013 | Maloney et al. | Sep 2000 | A |
6127975 | Maloney | Oct 2000 | A |
6144711 | Raleigh et al. | Nov 2000 | A |
6172644 | Stilp | Jan 2001 | B1 |
6184829 | Stilp | Feb 2001 | B1 |
6188351 | Bloebaum | Feb 2001 | B1 |
6191738 | Pfeil et al. | Feb 2001 | B1 |
6201499 | Hawkes et al. | Mar 2001 | B1 |
6201803 | Munday et al. | Mar 2001 | B1 |
6212319 | Cayrefourcq | Apr 2001 | B1 |
6233459 | Sullivan et al. | May 2001 | B1 |
6246884 | Karmi et al. | Jun 2001 | B1 |
6266013 | Stilp et al. | Jul 2001 | B1 |
6269246 | Rao et al. | Jul 2001 | B1 |
6281834 | Stilp | Aug 2001 | B1 |
6285321 | Stilp et al. | Sep 2001 | B1 |
6288675 | Maloney | Sep 2001 | B1 |
6288676 | Maloney | Sep 2001 | B1 |
6295455 | Fischer et al. | Sep 2001 | B1 |
6311043 | Haardt et al. | Oct 2001 | B1 |
6317081 | Stilp | Nov 2001 | B1 |
6317604 | Kovach, Jr. et al. | Nov 2001 | B1 |
6334059 | Stilp et al. | Dec 2001 | B1 |
6351235 | Stilp | Feb 2002 | B1 |
6366241 | Pack | Apr 2002 | B2 |
6388618 | Stilp et al. | May 2002 | B1 |
6393294 | Perez-Breva et al. | May 2002 | B1 |
6400320 | Stilp et al. | Jun 2002 | B1 |
6407703 | Minter et al. | Jun 2002 | B1 |
6449486 | Rao | Sep 2002 | B1 |
6463290 | Stilp et al. | Oct 2002 | B1 |
6470195 | Meyer | Oct 2002 | B1 |
6477161 | Hudson | Nov 2002 | B1 |
6483460 | Stilp et al. | Nov 2002 | B2 |
6492944 | Stilp | Dec 2002 | B1 |
6501955 | Durrant et al. | Dec 2002 | B1 |
6519465 | Stilp et al. | Feb 2003 | B2 |
6546256 | Maloney | Apr 2003 | B1 |
6553322 | Ignagni | Apr 2003 | B1 |
6563460 | Stilp et al. | May 2003 | B2 |
6571082 | Rahman | May 2003 | B1 |
6591112 | Siccardo et al. | Jul 2003 | B1 |
6603428 | Stilp | Aug 2003 | B2 |
6603761 | Wang | Aug 2003 | B1 |
6640106 | Gutowski et al. | Oct 2003 | B2 |
6646604 | Anderson | Nov 2003 | B2 |
6661379 | Stilp et al. | Dec 2003 | B2 |
6765531 | Anderson | Jul 2004 | B2 |
6771625 | Beal | Aug 2004 | B1 |
6771969 | Chinoy | Aug 2004 | B1 |
6782264 | Anderson | Aug 2004 | B2 |
6782265 | Perez-Breva et al. | Aug 2004 | B2 |
6834234 | Scherzinger et al. | Dec 2004 | B2 |
6839539 | Durrant et al. | Jan 2005 | B2 |
6845240 | Carlson et al. | Jan 2005 | B2 |
6859172 | Powers et al. | Feb 2005 | B2 |
6871077 | Kennedy, Jr. | Mar 2005 | B2 |
6873290 | Anderson et al. | Mar 2005 | B2 |
6876859 | Anderson et al. | Apr 2005 | B2 |
6920329 | Kennedy, Jr. et al. | Jul 2005 | B2 |
6922170 | Alexander, Jr. | Jul 2005 | B2 |
6944465 | Spain et al. | Sep 2005 | B2 |
6952158 | Kennedy, Jr. | Oct 2005 | B2 |
6987979 | Carlsson | Jan 2006 | B2 |
6996392 | Anderson | Feb 2006 | B2 |
7023383 | Stilp et al. | Apr 2006 | B2 |
7116987 | Spain, Jr. et al. | Oct 2006 | B2 |
7167713 | Anderson | Jan 2007 | B2 |
7167714 | Dressler et al. | Jan 2007 | B2 |
7233799 | Spain, Jr. | Jun 2007 | B2 |
7250907 | Krumm et al. | Jul 2007 | B2 |
7257414 | Spain, Jr. et al. | Aug 2007 | B2 |
7271765 | Stilp et al. | Sep 2007 | B2 |
7340259 | Maloney | Mar 2008 | B2 |
7383051 | Spain, Jr. et al. | Jun 2008 | B2 |
7427952 | Bull et al. | Sep 2008 | B2 |
7433652 | Durgin | Oct 2008 | B2 |
7433695 | Gordon et al. | Oct 2008 | B2 |
7440762 | Maloney et al. | Oct 2008 | B2 |
7460505 | Spain | Dec 2008 | B2 |
7574222 | Sawada et al. | Aug 2009 | B2 |
7593738 | Anderson | Sep 2009 | B2 |
7725111 | Dressler et al. | May 2010 | B2 |
7734298 | Bhattacharya et al. | Jun 2010 | B2 |
7753278 | Spain, Jr. et al. | Jul 2010 | B2 |
7796966 | Bhattacharya et al. | Sep 2010 | B2 |
7844702 | Manczak et al. | Nov 2010 | B1 |
7848762 | Gordon et al. | Dec 2010 | B2 |
7899467 | Feuerstein et al. | Mar 2011 | B2 |
7933580 | Hasenfang et al. | Apr 2011 | B2 |
8013785 | Bhattacharya et al. | Sep 2011 | B2 |
8068802 | Bhattacharya et al. | Nov 2011 | B2 |
8068855 | Dressler et al. | Nov 2011 | B2 |
8106817 | Bhattacharya et al. | Jan 2012 | B2 |
8106818 | Bhattacharya et al. | Jan 2012 | B2 |
8155394 | Allegra et al. | Apr 2012 | B2 |
20020172223 | Stilp et al. | Nov 2002 | A1 |
20030064734 | Stilp et al. | Apr 2003 | A1 |
20030139188 | Chen et al. | Jul 2003 | A1 |
20030190919 | Niemenmaa | Oct 2003 | A1 |
20030203738 | Brown et al. | Oct 2003 | A1 |
20040043775 | Kennedy, Jr. et al. | Mar 2004 | A1 |
20040132466 | Kennedy, Jr. et al. | Jul 2004 | A1 |
20040203539 | Benes et al. | Oct 2004 | A1 |
20040203921 | Bromhead et al. | Oct 2004 | A1 |
20040218664 | Kennedy, Jr. et al. | Nov 2004 | A1 |
20040252752 | Kennedy, Jr. et al. | Dec 2004 | A1 |
20050058182 | Kennedy, Jr. et al. | Mar 2005 | A1 |
20050136945 | Kennedy, Jr. et al. | Jun 2005 | A1 |
20050164712 | Kennedy, Jr. et al. | Jul 2005 | A1 |
20050192026 | Carlson et al. | Sep 2005 | A1 |
20060003695 | Kennedy, Jr. et al. | Jan 2006 | A1 |
20060003775 | Bull et al. | Jan 2006 | A1 |
20060030333 | Ward et al. | Feb 2006 | A1 |
20060106930 | Shaffer | May 2006 | A1 |
20060116130 | Kennedy, Jr. et al. | Jun 2006 | A1 |
20060125695 | Kennedy, Jr. et al. | Jun 2006 | A1 |
20060141998 | Kennedy, Jr. et al. | Jun 2006 | A1 |
20060154607 | Kennedy, Jr. et al. | Jul 2006 | A1 |
20060240836 | Kennedy, Jr. et al. | Oct 2006 | A1 |
20070027997 | Polk | Feb 2007 | A1 |
20070060097 | Edge et al. | Mar 2007 | A1 |
20070087689 | Kennedy, Jr. et al. | Apr 2007 | A1 |
20070111746 | Anderson et al. | May 2007 | A1 |
20070155401 | Ward et al. | Jul 2007 | A1 |
20070155489 | Beckley et al. | Jul 2007 | A1 |
20070202885 | Kennedy, Jr. et al. | Aug 2007 | A1 |
20070232322 | Jagadeesan et al. | Oct 2007 | A1 |
20080032736 | Bari et al. | Feb 2008 | A1 |
20080132244 | Anderson et al. | Jun 2008 | A1 |
20080132247 | Anderson et al. | Jun 2008 | A1 |
20080137524 | Anderson et al. | Jun 2008 | A1 |
20080158059 | Bull et al. | Jul 2008 | A1 |
20080160952 | Bull et al. | Jul 2008 | A1 |
20080160953 | Mia et al. | Jul 2008 | A1 |
20080161015 | Maloney et al. | Jul 2008 | A1 |
20080248811 | Maloney et al. | Oct 2008 | A1 |
20080261611 | Mia et al. | Oct 2008 | A1 |
20080261612 | Mia et al. | Oct 2008 | A1 |
20080261613 | Anderson et al. | Oct 2008 | A1 |
20080261614 | Mia et al. | Oct 2008 | A1 |
20090005061 | Ward et al. | Jan 2009 | A1 |
Number | Date | Country |
---|---|---|
06-347529 | Dec 1994 | JP |
2006088472 | Aug 2006 | WO |
Entry |
---|
Patel, Vijay, “LIS-AL Architecture, and FLAP,” IEEE article, doc. No. 802.11-07/2889r0, Nov. 12, 2007. |
Unknown author, “Telecommunications and Internet Converged Servicse and Protocols for Advanced Networking (TISPAN); Analysis of Location Information Standards produced by various SDOs,” European Telecommunications Standards Institute (ETSI) draft v0.3.0, STF 321 Working Document, Jul. 2007 (relevant section is 7.1). |
Y. Zhao, “Standardization of Mobile Phone Positioning for 3G Systems,” IEEE Communications Magazine, Jul. 2002, pp. 108-116. |
C. Drane, M. Macnaughtan, and C. Scott, “Positioning GSM Telephones,” IEEE Communications Magazine, Apr. 1998, pp. 46-54, 59. |
J. Caffery, Jr., and G. Stuber, “Overview of Radiolocation in CDMA Cellular Systems,” IEEE Communications Magazine, Apr. 1998, pp. 38-45. |
T. Rappaport, J.H. Reed and B.D. Woerner, “Position Location Using Wireless Communications on Highways of the Future,” IEEE Communications Magazine, Oct. 1996, pp. 33-41. |
I. Ziskind and M. Wax, “Maximum Likelihood Localization of Multiple Sources by Alternating Projection,” IEEE Transactions on Acoustics, Speech, and Signal Porcessing, vol. 36, No. 10, pp. 1553-1560, Oct. 1988. |
G.W.K. Colman, “A Comparison of the Accuracy of TDOA and TOA Location Algorithms with Equivalent Receiver Geometry,” Defence R&D Canada Technical Memorandum (DREO TM 2001-063), Oct. 2001, pp. 1-53. |
L. Mailaender, “On the Geolocation Bounds for Round-Trip Time-of-Arrival and All Non-Line-of-Sight Channels”, EURASIP Journal on Advances in Signal Processing, vol. 2008, pp. 1-10. |
N. Agarwal, L. Chaudran-Wadi, and V. Apte, “Capacity Analysis of the GSM Short Message Service”, Indian Institute of Technology Bombay, www.cse.iitb.ac.in/˜varsha/allpapers/wireless/ncc03cam.pdf, 2004, pp. 1-5. |
J.D. Bard, and F.M. Ham, “Time Difference of Arrival Dilution of Precision and Applications,” IEEE Transactions on Signal Processing, vol. 47, No. 2, pp. 521-523, Feb. 1999. |
K.C. Ho, and W. Xu, “An Accurate Algebraic Solution for Moving Source Location Using TDOA and FDOA Measurements”, IEEE Transactions on Signal Processing, vol. 52, No. 9, Sep. 2004, pp. 2453-2463. |
C.H. Knapp and G.C. Carter, “The Generalized Correlation Method for Estimation of Time Delay,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-24, No. 4, Aug. 1976, pp. 320-327. |
M. Rahnema, “Overview of the GSM System and Protocol Architecture,” IEEE Communications Magazine, Apr. 1993, pp. 92-100. |
S. Stein, “Algorithms for Ambiguity Function Processing,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. ASSP-29, No. 3, Jun. 1981, pp. 588-599. |
M. Vanderveen, C.B. Papadias, and A. Paulraj, “Joint Angle and Delay Estimation (JADE) for Multipath Signals Arriving at an Antenna Array”, IEEE Communications Letters, vol. 1, No. 1, Jan. 1997, pp. 12-14. |
M. Wax and I. Ziskind, “On Unique Localization of Multiple Sources by Passive Sensor Arrays,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, No. 7, Jul. 1989, pp. 996-1000. |
B. Yang, “Projection Approximation Subspace Tracking,” IEEE Transactions on Signal Processing, vol. 43, No. 1, Jan. 1995, pp. 95-107. |
Amir Leshem, Mati Wax, “Array Calibration in the Presence of Multipath,” IEEE Transactions on Signal Processing, vol. 48, No. 1, pp. 53-59, Jan. 2000. |
Xin Wang, Zongxin Wang and Bob O'Dea, “A TOA-Based Location Algorithm Reducing the Errors Due to Non-Line-of-Sight (NLOS) Propagation,” IEEE Trans. Vehicular Technology, vol. 52, No. 1, Jan. 2003, pp. 112-116. |
M. Vanderveen, C. Papadias, A. Paulraj, “Joint Angle and Delay Estimation (JADE) for Multipath Signals Arriving at an Antenna Array,” IEEE Communications Letters, vol. 1, No. 1, Jan. 1997, pp. 12-14. |
R. Schmidt, “Multiple Emitter Location and Signal Parameter Estimation,” IEEE Transactions on Antennas and Propagation, vol. AP-34, No. 3, Mar. 1986, pp. 276-280. |
Y. Chen, M. Zoltowski, “Joint Angle and Delay Estimation for DS-CDMA with Application to Reduced Dimension Space-Time Rake Receivers,” Mar. 1999, pp. 2933-2936. |
A.J. Paulraj, C.B. Papadias, “Space-Time Processing for Wireless Communications”, IEEE Signal Processing Magazine, vol. 11, Nov. 1997, pp. 49-83. |
C.B. Papadias, A.J. Paulraj , “Space-Time Signal Processing for Wireless Communications: A Survey”, Information Systems Laboratory, Stanford University. |
M. Haardt, C. Brunner, J. Nossek, “Joint Estimation of 2-D Arrival Angles, Propagation Delays, and Doppler Frequencies in Wireless Communications,” Proc. IEEE Digital Signal Processing Workshop, vol. 1, pp. 1-4, Bryce Canyon National Park, Utah, Aug. 1998. |
Mati Wax, “Position Location from Sensors with Position Uncertainty,” IEEE Transactions Aerospace and Electronic Systems, vol. AES-19, No. 5, Sep. 1983, pp. 658-662. |
D.J. Torrieri, “Statistical Theory of Passive Location Systems”, IEEE Transactions Aerospace and Electronic Systems, vol. AES-20, No. 2, Mar. 1984, pp. 183-198. |
Y.T. Chan and K.C. Ho, “A Simple and Efficient Estimator for Hyperbolic Location”, IEEE Transactions Signal Processing, vol. 42, No. 8, Aug. 1994, pp. 1905-1915. |
W.H. Foy, “Position-Location Solutions by Taylor-Series Estimation”, IEEE Transactions Aerospace and Electronic Systems, vol. AES-12, No. 2, Mar. 1976, pp. 187-194. |
R.G. Stansfield, “Statistical Theory of DF Fixing”, Journal IEE 94, Part III A, Oct. 1947, pp. 762-770. |
M.P. Wylie and J. Holtzman, “The Non-Line of Sight Problem in Mobile Location Estimation”, Process IEEE 5th International Conference on Universal Personal Communications, vol. 2, Oct. 1996, pp. 827-831. |
L.Cong and W. Zhuang, “Non-Line-of-Sight Error Mitigation in TDOA Mobile Location”, Process IEEE Global Telecommunications Conference, vol. 1, Sep. 2001, pp. 680-684. |
P.C. Chen, “A Non-Line-of-Sight Error Mitigation Algorithm in Location Estimation”, Process IEEE Conference on Wireless Communications Networking, vol. 1, 1999, pp. 316-320. |
N.J. Thomas, D.G.M. Cruickshank and D.I. Laurenson, “Performance of a TDOA-AOA Hybrid Mobile Location System”, 3G Mobile Communication Technologies, Conference Publication No. 477, Mar. 2001, pp. 216-220. |
J. Caffery, Jr., and G. Stuber, “Subscriber Location in CDMA Cellular Networks,” IEEE Transactions on Vehicular Technology, vol. 47, No. 2, May 1998, pp. 406-416. |
J. Caffery. Jr., “A New Approach to the Geometry of TOA Location,” IEEE, VTC 2000, pp. 1943-1949. |
M.Silventoinen and T. Rantalainen, “Mobile Station Emergency Locating in GSM”, Process IEEE International Conference, Personal Wireless Communications, vol. 1, 1996, pp. 232-238. |
Rick Roberts, “Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs),” Harris Corporation, Melbourne Florida, Oct. 4, 2004, pp. 1-11. |
Stephanie Bell, A Beginners Guide to Uncertainty of Measurement, The National Physics Laboratory of the United Kingdom of Great Britain and Northern Ireland, Teddington, Middlesex, UK, 2001, pp. 1-41. |
Number | Date | Country | |
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20100106774 A1 | Apr 2010 | US |
Number | Date | Country | |
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61109068 | Oct 2008 | US |