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Distributed Network Opportunistic Distributed Network Opportunistic Positioning (DiNO) 2012 Joint Navigation Conference Session B7: Collaborative Navigation Dr. Alison K. Brown, Cayle Stickler, and Techniques Jarrett Redd NAVSYS Corporation DFARS 252.227-7018 (June 1995)) SBIR Data Rights Contract Number: W91-CRB011-C-0005 NAVSYS Corporation, 14960 Woodcarver Road, Colorado Springs, CO 80921 Expiration of SBIR Data Rights Period: Expires five years after completion of project work for this or any other follow-on SBIR contract, whichever is later. The Government’s rights to use, modify, reproduce, release, perform, display, or disclose technical data or computer software marked with this legend are restricted during the period shown as provided in paragraph (b)(4) of the Rights in Noncommercial Technical Data and Computer Software—Small Business Innovative Research (SBIR) Program clause contained in the above identified contract. No restrictions apply after the expiration date shown above. Any reproduction of technical data, computer software, or portions thereof marked with this legend must also reproduce the markings. (End of legend) The views expressed are those of the authors and do not reflect the official policy or position of the Department of Defense or the U.S. Government DISTRIBUTION A. Approved for public release; distribution is unlimited

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Page 1: 12-06-002 Distributed Network Opportunistic … Distributed Network Opportunistic...Distributed Network OpportunisticDistributed Network Opportunistic Positioning (DiNO) ... jammer

Distributed Network OpportunisticDistributed Network Opportunistic Positioning (DiNO)

2012 Joint Navigation ConferenceSession B7: Collaborative Navigation

Dr. Alison K. Brown, Cayle Stickler, and

Techniques

Jarrett ReddNAVSYS Corporation

DFARS 252.227-7018 (June 1995))SBIR Data RightsContract Number: W91-CRB011-C-0005NAVSYS Corporation, 14960 Woodcarver Road, Colorado Springs, CO 80921Expiration of SBIR Data Rights Period: Expires five years after completion of project work for this or any other follow-on SBIR contract, whichever is later.The Government’s rights to use, modify, reproduce, release, perform, display, or disclose technical data or computer software marked with this legend are restricted during the period g , y, p , , p , p y, p g g pshown as provided in paragraph (b)(4) of the Rights in Noncommercial Technical Data and Computer Software—Small Business Innovative Research (SBIR) Program clause contained in the above identified contract. No restrictions apply after the expiration date shown above. Any reproduction of technical data, computer software, or portions thereof marked with this legend must also reproduce the markings. (End of legend)

The views expressed are those of the authors and do not reflect the official policy or position of the Department of Defense or the U.S. Government

DISTRIBUTION A. Approved for public release; distribution is unlimited

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GPS I t b OGPS Issues to be OvercomeGPS i l b d• GPS signals may be attenuated when operating under foliage, in an urban canyon, or inside a building to the extent that they cannot be detected by a

GPSOutagecannot be detected by a

conventional GPS receiver. • GPS signals can be denied when

in close proximity to a GPS jammer or interference source

GPSDenied

Outage

jammer or interference source• The GPS signals can be

corrupted with multipath when operating in urban canyons

• GPS navigation is not possible

GPS Degraded byMultipath and

Signal BlockageGPS navigation is not possible without sufficient satellites to provide good geometry (PDOP) GPS Network Assistance

Use or disclosure of the data on this page is subject to the restrictions on the title page

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GPS + Cross-link RangingGPS + Cross link Ranging Distributed Network Solution

Combines GPS obser ations and intra net ork ranges• Combines GPS observations and intra-network ranges from a sparse network

• Calculates ensemble network location solution even• Calculates ensemble network location solution even when no units have complete GPS observability

SVs in use

TOA Range

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DiNO Positioning with Signals ofDiNO Positioning with Signals of Opportunity (SoOP)

Wideband SoOP

W-CDMA

Narrowband SoOP

Analog AM/FM

Space-Based SoOP

GPS Satellite W-CDMA Cell WLAN Digital TV Analog

TV GSM CellAM/FM Radio

GPS Satellite

Intra-Network Ranges SoftwareS ft

DiNO Network Assistance

Ranges Software Defined Radios

Software Defined Radios

Distributed NetworkNetwork

Positioning (DiNO) Server

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SDR Enabling Capabilities forSDR Enabling Capabilities for collecting DiNO observations• Multi-band operation

• Channels can be tuned to scan for SoOP and collect signal samples for DiNO processing

• Common channel reference clock• Common clock for GPS and SoOP channels reduce

to DiNO solution solving for common Bu offset for each unit (4-states per unit)( p )

• Network communications• Can be used for messaging and intra-channel g g

rangingUse or disclosure of the data on this page is subject to the restrictions on the title page

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DiNO SDR Test Bed

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Ettus Universal Software RadioEttus Universal Software Radio Peripheral (USRP )

• USRP SoftwareUSRP Software• Open source GNU Radio • GNU Radio Companion

• N210 RadioN210 Radio• Spartan-3A 3400 DSP• Transceiver daughterboards

• USRP WBX transceiver• USRP WBX transceiver daughterboard• Full-duplex• 50 MHz to 2 2 GHz• 50 MHz to 2.2 GHz• 14 bits A/D

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USRP DAE to HyperX

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DiNO Signals of OpportunityDiNO Signals of Opportunity• Desired Features • DTV• Desired Features

• Broadband modulation• Frequency separation

• DTV• 300-750 Mz• 6 MHz BW, >1000 kW

• Strong received signal

• DiNO Processing• Geolocates SoOP using TDOA

• PCS• 1930-1990 MHz• 1 23 MHz BW 100 500W• Geolocates SoOP using TDOA

observations (note does not require detailed knowledge of signal structure)

• 1.23 MHz BW, 100-500W

• WiMax• 2.3, 2.5, 3.6 GHzstructure)

• Uses TDOA dPR obs to augment network positioning

• 3.5 -20 MHz BW, 100 W

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DTV DPR Observations

Cross-correlation of two samples in DTV band provides D PR observationsprovides D-PR observations

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GPS Jammers as SoOPGPS Jammers as SoOP• Example jammer signals p j g

collected at WSMR• TDOA cross-correlation

id dPRprovides dPR observations

• DiNO algorithm• DiNO algorithm associates dPR with each jammer node and solves for location

Use or disclosure of the data on this page is subject to the restrictions on the title page

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Jammer-Assisted CollaborativeJammer Assisted Collaborative Navigation Solution

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DiNO Navigation Example• Interior units have intra-network ranges (e g SRW)Interior units have intra network ranges (e.g. SRW)• DiNO App captures snapshots from selected SoOP on all

units (e.g. DTV and/or GPS jammer)• DiNO network service calculates all distributed networked

units’ locations and also locations of SoOPSolution can be calculated with no GPS observations• Solution can be calculated with no GPS observations through addition of two “anchor” units at known location with precise local clock

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DiNO Simulation TOA ObsDiNO Simulation – TOA Obs

Insufficient TOA observation geometry to compute solution withoutInsufficient TOA observation geometry to compute solution without any GPS obs

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TOA + GPS Jammer AssistanceTOA + GPS Jammer Assistance

TOA + Jammer dPR obs relative to anchor units provides sufficientTOA + Jammer dPR obs relative to anchor units provides sufficient geometry for solving for jammer and network participant locations

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GPS Timing TestingGPS Timing TestingGPS h t ll t d

GPS Synchronous Snapshots, Correlation Results: Tau OffsetMean: 1 318 [m]• GPS snapshot collected

from two SDRsGPS ti f t i i

3

4

Mean: 1.318 [m]Standard Deviation: 0.966 [m]

• GPS time of transmission extracted to mark start time of samples

1

2

[m]

time of samples• Test data collected with

common clock used to-1

0

common clock used to observe accuracy

Time Differences were accurate to ithin 1 m (1 sigma)

20 40 60 80 100 120-2

Snapshot

to within 1 m (1-sigma)Use or disclosure of the data on this page is subject to the restrictions on the title page

FOUO

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GPS/DTV ObservationGPS/DTV Observation Accuracies

Synchronous Snapshots Correlation Results: Tau Offset

• GPS and DTV snapshots were collected using two channels on SDR

3

4

Synchronous Snapshots, Correlation Results: Tau OffsetGPS Mean: 1.318 [m], Standard Deviation: 0.966 [m]DTV Mean: 0.690 [m], Standard Deviation: 0.002 [m]

GPS-GPSDTV-DTV

channels on SDR• SDR clock offset

determined from GPS 1

2

[m]

observations• DTV dPR observation

created using GPS-1

0

created using GPS corrected SDR clock offset

DTV dPR observations were accurate t ithi 2 (1 i )

20 40 60 80 100 120-2

Snapshot

to within 2 mm (1-sigma)Use or disclosure of the data on this page is subject to the restrictions on the title page

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C l iConclusion• Distributed Network Opportunistic Positioning (DiNO)Distributed Network Opportunistic Positioning (DiNO)

provides robust collaborative positioning in an urban environment where GPS satellite visibility is occluded

• DiNO leverages GPS + RF Ranging NetworkDiNO leverages GPS RF Ranging Network assistance to allow positioning of users in an environment where GPS is partially denied

• DiNO leverages RF Ranging + SoOP (including GPSDiNO leverages RF Ranging SoOP (including GPS Jammer Assistance) to allow positioning of users in an environment where GPS is completely denied

• DiNO provides back-up navigation capability to GPS p p g p yas an embedded SDR and Network application

• Lab and field testing planned with GDAP test bed under US Army contract with DARPA SBIR fundingy g

Use or disclosure of the data on this page is subject to the restrictions on the title page