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Precision Geolocation in Challenging Environments

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Presentation on theme: "Precision Geolocation in Challenging Environments"— Presentation transcript:

1 Precision Geolocation in Challenging Environments
Month Year doc.: IEEE yy/xxxxr0 July 2011 Precision Geolocation in Challenging Environments Authors: Abstract This tutorial is for the IEEE 802 Plenary session on July 2011 in San Francisco The presentation describes how location techniques can improve the proposed geo-location range and accuracy for determining location in challenging environments. Notice: This document has been prepared to assist IEEE 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 grants a free, irrevocable license to the IEEE to incorporate material contained in this contribution, and any modifications thereof, in the creation of an IEEE Standards publication; to copyright in the IEEE’s name any IEEE Standards publication even though it may include portions of this contribution; and at the IEEE’s sole discretion to permit others to reproduce in whole or in part the resulting IEEE Standards publication. The contributor also acknowledges and accepts that this contribution may be made public by IEEE Patent Policy and Procedures: The contributor is familiar with the IEEE 802 Patent Policy and Procedures including the statement "IEEE standards may include the known use of patent(s), including patent applications, provided the IEEE receives assurance from the patent holder or applicant with respect to patents essential for compliance with both mandatory and optional portions of the standard." Early disclosure to the Working Group of patent information that might be relevant to the standard is essential to reduce the possibility for delays in the development process and increase the likelihood that the draft publication will be approved for publication. Please notify the Chair Apurva Mody as early as possible, in written or electronic form, if patented technology (or technology under patent application) might be incorporated into a draft standard being developed within the IEEE Working Group. If you have questions, contact the IEEE Patent Committee Administrator at Russ Markhovsky, InvisiTrack, Inc. John Doe, Some Company

2 July 2011 Possible Use Cases Russ Markhovsky, InvisiTrack, Inc.

3 Rural Geo-Location July 2011 BS 30 km Backhaul Slide 3
CPE Slide 3 Russ Markhovsky, InvisiTrack, Inc.

4 Outdoor Geo-Location Geo-Locate over long distances
July 2011 Outdoor Geo-Location Geo-Locate over long distances Needs either multiple Base Stations … or a Base Station and a number of reference CPEs for which the latitude and longitude are known Slide 4 Russ Markhovsky, InvisiTrack, Inc.

5 Urban Corridor and Indoor Geo-Location
July 2011 Urban Corridor and Indoor Geo-Location Geo-Locate over shorter distances Needs to operate in harsh multipath environment Either a terminal (nomadic CPE) or base station/ fixed CPE originates the ranging signal Slide 5 Russ Markhovsky, InvisiTrack, Inc.

6 Location-aware Advertising
July 2011 Multiple Use Cases LBS / ASSET TRACKING Warehouses Equipment & Supplies Disaster Recovery SALES & MARKETING Social Networking Location-aware Advertising Social Gaming  Juniper Research published a report which said the market for location-based services (think mobile check-in games like Foursquare, social networks like Loopt, location-enabled apps like Google Maps, etc.) will bring in revenues of more than $12.7 billion by 2014.  PUBLIC SAFETY/ MILITARY Locate/Track Personnel Monitor Military Campaigns Search & Rescue Russ Markhovsky, InvisiTrack, Inc.

7 Integrated (Hybrid Positioning Enhancement)
July 2011 Integrated (Hybrid Positioning Enhancement) GPS A-GPS Cell-ID ISM BANDS TVWS BANDS 3 meters 50 meters 300 meters 100 meters 6 meters 400 meters 150 meters Russ Markhovsky, InvisiTrack, Inc.

8 July 2011 Defining Core Problem Russ Markhovsky, InvisiTrack, Inc.

9 Signal Propagation - Background
July 2011 Signal Propagation - Background Signal penetration in dielectric Loss varies as square root of wavelength Lower frequencies penetrate better than higher Example: with the same loss, 240 MHz penetrates 3.2 times further than 2.4 GHz or, at same distance, loss at 2.4 GHz is 10 dB greater. Dispersion (multipath): inversely proportional to wavelength Objects smaller than the wavelength don’t reflect; Objects larger than the wavelength, reflect and generate multipath dispersion. Russ Markhovsky, InvisiTrack, Inc.

10 White Spaces Superior Platform for Location
July 2011 White Spaces Superior Platform for Location Obstacle: Metal Beam High 5.6 GHz (UWB) 2.4 GHz Frequency Spectrum 900 MHz Ideal for Terrestrial Geolocation 512 MHz Low The lower the frequency, the greater the ability to penetrate buildings and thereby improve location positioning accuracy and reliability. Russ Markhovsky, InvisiTrack, Inc.

11 July 2011 Proposed Solutions Russ Markhovsky, InvisiTrack, Inc.

12 How do you deal with complex environment location?
Month Year doc.: IEEE yy/xxxxr0 July 2011 How do you deal with complex environment location? With the required +/- 15 m ranging accuracy, once impact of SNR and other imperfections are taken into account, there is little room left for the actual ranging errors that are associated with ranging in a dense multipath environment in buildings/ urban corridors where multipath echoes are closely spaced Multipath Mitigation Real-time ranging signal (terrestrial positioning signal) processing algorithm (method) that mitigates multipath and delivers high accuracy using < 6 MHz of bandwidth Russ Markhovsky, InvisiTrack, Inc. John Doe, Some Company

13 July 2011 Multipath Mitigation Russ Markhovsky, InvisiTrack, Inc.

14 Multipath Mitigation Overview
July 2011 Multipath Mitigation Overview Can be easily incorporated into OFDM based wireless networks, Employs existing wireless network signals Reference and/ or pilot signals, etc. No changes to HW and OS Developed for indoor and challenging outdoor environments Dense multipath environment Low computational intensity multipath mitigation algorithms Can be executed in software by a mobile terminal Developed for fixed and mobile environment Allows simultaneous tracking of hundreds terminals Russ Markhovsky, InvisiTrack, Inc.

15 July 2011 Solution Integration Geolocation ranging signal is < 6 MHz BW (i.e., does not require channel bonding). The ranging signal consists of: Pilot signals or subcarrier signals; or A combination of pilots and subcarriers; The ranging signal subcarriers do not need to be modulated; the modulation may also be applied, for example QPSK, as long as the modulation signal is known beforehand. Russ Markhovsky, InvisiTrack, Inc.

16 Multipath Mitigation Processor
July 2011 Multipath Mitigation Processor Maps time delay to phase offset – resulting in observables sums of complex sinusoids; Uses optimized high-resolution spectrum estimation analysis methods and techniques; Algorithms designed to separate direct path for Accurate range estimation Methods and techniques support frequency estimations (delays) that approach the Cramer-Rao Bound (CRB). Russ Markhovsky, InvisiTrack, Inc.

17 Solution Integration July 2011
Month Year doc.: IEEE yy/xxxxr0 July 2011 Solution Integration Can be seamlessly integrated into the current geolocation model – uses complex channel impulse response in the frequency domain New option for Geo-location model Current Geo-location model Multipath Processor Noise Signal Russ Markhovsky, InvisiTrack, Inc. John Doe, Some Company

18 July 2011 Ranging Modes Russ Markhovsky, InvisiTrack, Inc.

19 One-way and Two-way mode ranging

20 July 2011 Test Results Slide 20 Russ Markhovsky, InvisiTrack, Inc.

21 July 2011 Geo-location Results Developed portable, battery-operated proof of concept: Dimensions: 3x4x2 inches Operating frequencies: VHF (High-band) Operating bandwidth: 5 MHz In all tests TX and RX antennas heights were between 0.5 meter to 1.5 meters from the ground . Russ Markhovsky, InvisiTrack, Inc.

22 Accuracy (m), >=67% confidence Accuracy (m), >=95% confidence
July 2011 Geolocation Results Environment Range (m) Accuracy (m), >=67% confidence Accuracy (m), >=95% confidence Comments Coaxial cables 500 (equiv) N/A 0.5 With multipath simulator Analog Proof of Concept Devices Outdoor 350 2 3 Suburban setting Difficult Indoor 125 4 8 Multiple floor buildings Extreme, Indoor parking Reinforced Concrete structure Russ Markhovsky, InvisiTrack, Inc.

23 UMBC Field Amplitude Estimate Phase Estimate July 2011
Russ Markhovsky, InvisiTrack, Inc.

24 Conversion to Distance
July 2011 Conversion to Distance Russ Markhovsky, InvisiTrack, Inc.

25 July 2011 UMBC Field Russ Markhovsky, InvisiTrack, Inc.

26 July 2011 UMBC Engineering Russ Markhovsky, InvisiTrack, Inc.

27 Conversion to Distance
July 2011 Conversion to Distance Russ Markhovsky, InvisiTrack, Inc.

28 July 2011 Result Russ Markhovsky, InvisiTrack, Inc.

29 Additional Test Results
July 2011 Additional Test Results Russ Markhovsky, InvisiTrack, Inc.

30 July 2011 UMBC Parking Garage Russ Markhovsky, InvisiTrack, Inc.

31 Conversion To Distance
July 2011 Conversion To Distance Russ Markhovsky, InvisiTrack, Inc.

32 July 2011 Result Russ Markhovsky, InvisiTrack, Inc.

33 July 2011 UMBC Commons Russ Markhovsky, InvisiTrack, Inc.

34 UMBC Engineering (Example 2)
July 2011 UMBC Engineering (Example 2) Russ Markhovsky, InvisiTrack, Inc.

35 Conversion to Distance
July 2011 Conversion to Distance Russ Markhovsky, InvisiTrack, Inc.

36 July 2011 Results Russ Markhovsky, InvisiTrack, Inc.

37 UMBC Parking Garage (Example 2)
July 2011 UMBC Parking Garage (Example 2) Russ Markhovsky, InvisiTrack, Inc.

38 Conversion to Distance
July 2011 Conversion to Distance Russ Markhovsky, InvisiTrack, Inc.

39 July 2011 Result Russ Markhovsky, InvisiTrack, Inc.

40 Backup Slides July 2011 (DRAFT) Month Year doc.: IEEE 802.22-yy/xxxxr0
Russ Markhovsky, InvisiTrack, Inc. John Doe, Some Company

41 Geolocation accuracy vs fine ranging accuracy
Gerald Chouinard, Russ Markvosky Geolocation accuracy vs fine ranging accuracy For a given geolocation error, the ranging error has to be smaller because geolocation methods/ techniques can be subject to location geometry degradation. Good Geometry Bad Geometry Triangulation Trilateration Assuming that the geometry degradation amplification is 2X (on average), the required ranging accuracy is +/- 25 meters. In addition, the network device electronics propagation delays (residual delay) accuracy is assumend to be +/- 30 ns. This results in +/- 10 meters ranging error In , this residual delay needs to be measured by the manufacturer with an accuracy of at least +/-30 ns (IEEE Std , subclause ) Thus the required fine ranging accuracy needs to be +/- 15 meters


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