Doc # 802.15-14-0045-00-004r January 2014 Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [Ranging in.

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Doc # r January 2014 Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [Ranging in m and Beyond] Date Submitted: [20 January 2014] Source: [Ben Rolfe] Company [BCA.] Cristina Seibert [SSN] Address [PO Box 798 Los Gatos CA 95031] Voice:[ ], FAX: [deprecated], eee.org] Re: [Call for Applications in Study Group 4s] Abstract:[Review Ranging applications, and the current state of ranging in ] Purpose:[Contribute to developing the project] Notice:This document has been prepared to assist the IEEE P It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release:The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P ContributionRolfe, Seibert1

Doc # r January 2014 Ranging in 4m and beyond Ranging Applications and ContributionRolfe, Seibert2

Doc # r January PHY Support for ranging – UWB (clause 14) – LRP UWB (clause 17) – TVWS PHYS (clause 20) SAP Support – PHY PIB attributes – Ranging enable/report in MCPS-DATA – Calibration MLME OTA protocol (IEs) for time exchange ContributionRolfe, Seibert3

Doc # r January 2014 Summary of 4m Ranging Features Ranging bit in the PHR of each PHY. – RFRAMES and RMARKERS IEs for exchanging timing information that can be used for ranging: – TX time – RX TX Time difference ACK of RFRAME required to include RX TX Time difference IE Informative annex on techniques to compute TOA – For FSK PHY: based on phase transitions between consecutive preamble symbols – For OFDM PHY: use autocorrelation properties of STF/LTF ContributionRolfe, Seibert4

Doc # r January 2014 Possible Extensions Generalized IE content, e.g. include information: – Pertaining to absolute time – Pertaining to signal phase – Pertaining to signal power – Pertaining to device calibration, processing chain delays, etc. – Pertaining to one or more carrier frequencies Communicate known geo-coordinates – IEs defined in 4m may be reusable Define transaction-based exchanges – Added flexibility compared to current method – Request particular information, e.g. phase for particular carrier frequencies, absolute time, geo-coordinates, calibration aspects per device/chain – Ability to pair response with a particular request – Include retransmission mechanisms? ContributionRolfe, Seibert5

Doc # r January 2014 Ranging Applications ContributionRolfe, Seibert6

Doc # r January 2014 Ranging and Localization Localization: Determining location, relative to something – Geo-location – location relative to surface of the Earth (sometimes called “absolute” position inaccurately) – Relative to some known location Position of objects in a building – Proximity to other objects Relative distance between objects Ranging: Determining distance between two objects – RF ranging via time of flight / time of arrival – RF ranging via relative phase of arrival – RF ranging via signal strength – Other (optical, sonic, … not in scope of 15.4) ContributionRolfe, Seibert7

Doc # r January 2014 Ranging Applications: Motion Rates No dynamics – Provisioning of fixed or seldom moving devices Portable – Move but not during operation Slow moving – Personal/portable at pedestrian rates Moderate to fast moving – On vehicles (tranes, planes, automobiles) ContributionRolfe, Seibert8

Doc # r January 2014 Ranging Applications: Motion Rates No dynamics – Provisioning of fixed or seldom moving devices Portable – Move but not during operation Slow moving – Personal/portable at pedestrian rates Moderate to fast moving – On vehicles (tranes, planes, automobiles) ContributionRolfe, Seibert9

Doc # r January 2014 Ranging Applications: No dynamics Provisioning of fixed devices – Meters, sensors, monitoring devices – Building automation, Process Control – Automatic localization Reduces provisioning cost (lower skill required) Reduces errors Location of assets – Inventory, containers, etc – Post deployment “finding” (errors in records) Rolfe, Seibert10Contribution

Doc # r January 2014 Application vs Precision Various needs – Coarse position (TVWS) – medium precision (Meters, sensors) – Apps for high precision (assets, people, …) Various technical approaches – UWB – high precision via wide bandwidth – Narrow band ToF – precision scales with time (trade time for precision) – Phase – precision scales with time ContributionRolfe, Seibert11