Pi_0102 4-May-15 pg. 1 Collaborative Signal Processing for Sensor Networks Stephen R. Blatt BAE SYSTEMS 16 January 2002.

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Presentation transcript:

Pi_ May-15 pg. 1 Collaborative Signal Processing for Sensor Networks Stephen R. Blatt BAE SYSTEMS 16 January 2002 This material is based upon work supported by the Space and Naval Warfare Systems Center - San Diego and DARPA IXO under Contract No. N C-8054

Pi_ May-15 pg. 2 BAE SYSTEMS/MIT Collaborative Signal Processing Tasks Networked Tracking - BAE SYSTEMS –improve data association between nodes Distributed Network Processing - MIT –lower field power requirements

Pi_ May-15 pg. 3 Agenda Algorithm SITEX 02 Data Collection Results of data analysis to date –Tripwire algorithm –Personnel detection Future plans

Pi_ May-15 pg. 4 Sensor system must reduce multiple node data to single output Two vehicles passing through 13 node cluster

Pi_ May-15 pg. 5 Situational Awareness Processing Overview Data Association Target Localization Feature Estimation Multi- frame tracking Node processing Output: target # target ID position Processed Node Data Situational Awareness # targets

Pi_ May-15 pg. 6 Data Association Using Tripwire From tripwire nodes, bearing to target is same at infinity, and opposite at crossing Can resolve multiple targets Estimate position between nodes based on size of bearing difference 1 2

Pi_ May-15 pg. 7 Aberdeen Dec 00 Tripwire Diamond configuration –100m spacing each axis

Pi_ May-15 pg. 8 Example over 13 transits Time, sec Position, m Bearing

Pi_ May-15 pg. 9 SITEX 02 Node Locations 12 thru 14 November Nodes 7, 8, 9, 10, 11, 13, 14, 16 Average Node Separation = 41.6m

Pi_ May-15 pg. 10 BAE SYSTEMS Sensor System 3 microphone array 1-axis or 3-axis seismic array a/d, fs = 1024 Hz on-node processing & storage fusion on gateway node

Pi_ May-15 pg. 11 Software Configuration MIUGS Senserv calculate bearing sends bearing via serial link log to file WINS 2.0 BearingServer puts data into twrec repository BearingClient get twrec data, publishes via diffusion logs to local file Tripwire subscribes to all nodes logs all bearings to file run tripwire logs positions to file outputs data RS-232

Pi_ May-15 pg. 12 Node Pairs and Gates B C D I E H G F

Pi_ May-15 pg. 13 Tracking results: baseline system 14 Nov, > 2300 GMT

Pi_ May-15 pg. 14 Tracking results - baseline system Y, m Time, seconds

Pi_ May-15 pg. 15 Tracking results - Tripwire Y, m Time, seconds

Pi_ May-15 pg. 16 Multiple Single Vehicle Passes - Baseline Tracking Y position, meters Time, seconds past midnight

Pi_ May-15 pg. 17 Multiple Single Vehicle Passes - Tripwire Y position, meters, 200m span Time, seconds past midnight

Pi_ May-15 pg. 18 SITEX 02 Results - Two Targets - Baseline Tracking Y position, meters (50m per box) Time, seconds past midnight (5s per box)

Pi_ May-15 pg. 19 SITEX 02 Results - Two Targets Tripwire Estimated target separation = 40m - 50m Time, seconds past midnight (5s per box) Y position, meters (50m per box)

Pi_ May-15 pg. 20 Tripwire Analysis Status Analyzing data for 12, 13, 14 Nov Awaiting log, video, ground truth information Second configuration for 15 Nov 65/H 47/C 9/B 1/ E 70/I 54/D 41/F 44/G

Pi_ May-15 pg. 21 Tripwire Algorithm Effectiveness Provides accurate position Provides accurate count for target spacing > node spacing Low processing requirements on node –avoids combinatorial explosion (e.g. LOB intersection) since small potential number of targets Scalable over number of nodes –one report per target But –Dependent on good data from nodes –Not helpful when target is outside node grid

Pi_ May-15 pg. 22 SITEX 02 Personnel Analysis 12 Nov - column of 342 Marines –West to intersection, paused, then went North

Pi_ May-15 pg. 23 Personnel Tracking Set-up 3 axis geophones deployed to east of road E - 30m F - 23m G - 12m H - 13m

Pi_ May-15 pg. 24 SITEX 02 Personnel Analysis Troops moving SW to NE

Pi_ May-15 pg. 25 SITEX 02 Personnel Analysis

Pi_ May-15 pg. 26 Future Work Analyze additional SITEX 02 data –bearing tripwire –doppler tripwire Data Quality Evaluation –comparing data from cooperating nodes to identify nodes with bad data Cued aerial observer –UAV or parachute viewer –photo, targeting