1. WINS Short Course 1 Sensor.com WINS Network Signal Processing Network Signal Processing Research Review SenseIT PI Meeting October 7-8, 1999 Marina Del Rey Presented to Dr. Sri Kumar DARPA/ITO by Sensor.com

2. WINS Short Course 2 Sensor.com Outline Network Signal Processing –Network and Database Methods for Threat Detection –Network and Database Methods for Threat Identification –Example application –Networked Signal Processing Choices for SenseIT

3. WINS Short Course 3 Sensor.com Signal Characteristics Seismic Signal PSD –observatory class geophone Mark Products L-4 vertical axis 2 kg instrument –3000 sps sampling system Tracked vehicle signatures –Important features at less than 200 Hz frequency (Hz) ground velocity power spectral densityv tracked vehicle I tracked vehicle II

4. WINS Short Course 4 Sensor.com Threat Detection Heterogeneity: –signal types –signal generation –signal propagation –signal-to-noise ratio Multiple threats Select optimal –algorithms –sensors –distribution frequency (Hz) ground velocity power spectral densityv time Infrared motion sensor signal

5. WINS Short Course 5 Sensor.com Signal Evolution –Resolve unique features: Approach, Arrival, Departure Speed Environment –Combine Seismic Magnetic Infrared Motion Threat Identification

6. WINS Short Course 6 Sensor.com Threat Identification Current research area –template matching methods –time domain –frequency domain –wavelet Challenges (continued) –multiple signal characteristics: continuous waveform (vehicle signature) impulse signature (infrared, magnetic, seismic signals due to footfalls)

7. WINS Short Course 7 Sensor.com Network and Database Methods Threat Detection Event Sequence: Query for –threat passage –sensor cueing Event History: Query for –long term patterns –pattern deviations

8. WINS Short Course 8 Sensor.com Network and Database Methods Threat Identification Node data: Query for –sensors brought to bear on target –detection range/signal-to-noise ratio –signal evolution

9. WINS Short Course 9 Sensor.com Retaskable/ Reprogrammable Example: Exploit (leverage signal search engine methods) decision data flow signal decision low power correlator signal correlator library memory proven correlators assessment Signal Search EngineConventional

10. WINS Short Course 10 Sensor.com Correlator Correlation (Inner Product):  **** Correlation Value Shift “Correlator” over one sample, recorrelate, and repeat. Produces a “correlation signal”. Classification may include RMS value of correlation signal and its time evolution. Threat Identification

11. WINS Short Course 11 Sensor.com Example results - ARL ACIDS Database –acoustic data set acquired for: light and heavy wheeled vehicles tracked vehicles –1000 sps sampling –system was “trained” on signal library –system “unknown” signals Threat Identification

12. WINS Short Course 12 Sensor.com Threat Identification Terrain: Desert Signals: Departure Class Errors:0% Correlators Signals Correlators

13. WINS Short Course 13 Sensor.com Threat Identification Terrain: Artic Signals: Approach Class Errors:5.6% Correlators Signals Correlators

14. WINS Short Course 14 Sensor.com Threat Identification Limitations of current systems –Incomplete signal processing library Energy cost associated with failure to identify: –need to migrate an entire data set to a remote user Goal: –exploit network and databases to upgrade any node –replace data set communication with communication of code, protocols,...

15. WINS Short Course 15 Sensor.com Threat Identification Network Signal Processing and Database Methods –Identify inadequately performing nodes –Service requests for upgraded library elements –Exploit new data and new measurements –Exploit remote resources and decisions –Update nodes with appropriate individual library selections –Leverage database concurrency methods, atomic transfer –Manage asynchronous processing

16. WINS Short Course 16 Sensor.com SenseIT Standards Network Signal Processing Databases Choices –Signal recordset format –Filter characteristics recordset format –Mobile signal processing code recordset format