TDOA-Based Localization Using Distributed Sensors Based on Commodity Hardware. EW Europe 2017 London

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1 TDOA-Based Localization Using Distributed Sensors Based on Commodity Hardware EW Europe 2017 London Dana Christen

2 Agenda 1. TDoA: introduction and principle 2. Workflow overview 3. Hardware requirements 4. Software considerations 5. Challenges and goals of a good solution for EW 2

3 A few words about myself Physics BSc, Computational Science MSc R&D Software Engineer TDoA and distributed architecture 3

4 A few words about Decodio Founded in 2012 Based in Zurich, Switzerland Software company Spectrum monitoring solution Specialized in digital VHF / UHF 4

5 TDOA principle 5

6 TDOA principle Distance difference implies time delay 6

7 TDOA principle 7

8 TDOA principle Measure a time delay between pairs of acquisition stations Requires GPS-based synchronization Time-stamping of acquired RF samples Minimum 3 stations 8

9 Architecture 9

10 Workflow Acquisition stations Wideband acquisition Channel extraction Narrowband streaming Wideband acquisition Channel extraction Narrowband streaming Wideband acquisition Channel extraction Narrowband streaming Operator s station Receive Align Correlate Localize Display 10

11 Hardware requirements Acquisition station RF receiver (real-time spectrum analyzer) GPS disciplined oscillator Desktop / Embedded PC Network / mobile connection Remote restart (e.g. power relay) Operator s station PC Network / mobile connection 11

12 Hardware requirements > RF receivers 12

13 Hardware requirements > GPSDO 13

14 Software considerations Acquisition station Continuous wideband acquisition (10-20 MHz) Wideband acquisition Channel extraction Narrowband streaming Tunable acquisition parameters Continuous narrowband channel extraction (12 khz a few MHz) Accurate timestamping Network IQ streaming Operator s station Buffering of incoming data Alignment of time-stamped RF samples Up-sampled cross-correlation Triangulation based on station coordinates (non-linear minimization) Display / result handling Receive Align Correlate Localize Display 14

15 Implementation challenges Sounds pretty straightforward where s the catch? Developing a full solution takes more than making a proof-of-concept! 15

16 User interface Most important aspect Users give up if too complicated Main points Acquisition station selection Tuning and channel selection Map visualization Visual accuracy estimation VPN management 16

17 User interface > VPN management 17

18 User interface > GUI 18

19 User interface > GUI 19

20 User interface > GUI Channel parameters 20

21 Real-world signals Multi-path More acquisition stations Statistical analysis Narrow band Less accurate Density visualization (heat map) Couple with DF VHF / UHF walkie-talkie Short signals Fast data generation Save / export results 21

22 Network streaming Unpredictable network connectivity Simultaneously fast-coming and slow-coming data Adaptive streaming 22

23 Station positions > Measurement error Error significance depends on emitter location 23

24 Station positions > Uncertainty Maximize enclosed surface Surround targeted area 24

25 Station positions > Uncertainty Two TDOA results Use mobile stations Couple with DF, data fusion 25

26 Interoperability Data fusion Interface to other equipments Easily implemented in software Combine DF and TDOA measurements Integrate users existing workflow Software enables more, requires standards, interoperability Report generation 26

27 Interoperability > Data fusion Interactive use of DF results Seamless integration within TDOA software 27

28 Conclusion Lot of potential with modern software and hardware Importance of user interfaces, ease-of-use Room for interoperability with third-party equipment Data fusion More "moving parts" 28

29 Contact Decodio AG Technoparkstrasse 1 CH-8005 Zürich dc@decodio.com THANKS FOR YOUR ATTENT N! 29

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