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Synchronization in distributed SDR for localization applications The challenge of nanosecond accuracy Johannes Schmitz, Manuel Hern andez January 31, 2016 Institute for Theoretical Information Technology Prof. Dr. Rudolf Mathar RWTH Aachen


  1. Synchronization in distributed SDR for localization applications The challenge of nanosecond accuracy Johannes Schmitz, Manuel Hern´ andez January 31, 2016 Institute for Theoretical Information Technology Prof. Dr. Rudolf Mathar RWTH Aachen University

  2. Introduction ◮ Time synchronized receivers (sensors, anchors, anchor nodes) ◮ Able to exchange samples ◮ Reference receiver (fusion center) ◮ Time difference of arrival (TDOA) measurements Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 2

  3. Introduction ◮ Time synchronized receivers (sensors, anchors, anchor nodes) ◮ Able to exchange samples ◮ Reference receiver (fusion center) ◮ Time difference of arrival (TDOA) measurements Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 2

  4. Introduction ◮ Time synchronized receivers (sensors, anchors, anchor nodes) ◮ Able to exchange samples ◮ Reference receiver (fusion center) ◮ Time difference of arrival (TDOA) measurements Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 2

  5. Introduction ◮ To our knowledge no existing open source SDR framework for real-time TODA based radio localization ◮ Its pretty tough mainly due to the speed of light ◮ 1 ns equals 30 cm (one foot) of propagation! ◮ Many people have build ultrasound based systems ◮ Some ultra wideband systems exist ◮ Some people do signal recording and “offline” processing ◮ Commercial or military systems extremly expensive ◮ It’s a distributed system ◮ A lot of hardware, logistic problems, network programming Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 3

  6. System architecture: Software layer ◮ Flexible architecture for different scenarios and algorithms ◮ Software components ◮ GNU Radio ◮ Python ◮ Qt ◮ ØMQ ◮ Nodes require a backhaul connection to communicate both samples and commands Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 4

  7. System architecture: Hardware layer ◮ Distributed system ◮ Variable number of nodes ◮ Real time results ◮ Compatibility with different GPS disciplined oscillators (GPSDOs) ◮ Jackson Labs/Ettus LCXO ◮ Jackson Labs LTE Lite ◮ ... Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 5

  8. System architecture: Hardware layer ◮ Distributed system ◮ Variable number of nodes ◮ Real time results ◮ Compatibility with different GPS disciplined oscillators (GPSDOs) ◮ Jackson Labs/Ettus LCXO ◮ Jackson Labs LTE Lite ◮ ... Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 5

  9. System architecture: Hardware layer ◮ Distributed system ◮ Variable number of nodes ◮ Real time results ◮ Compatibility with different GPS disciplined oscillators (GPSDOs) ◮ Jackson Labs/Ettus LCXO ◮ Jackson Labs LTE Lite ◮ ... Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 5

  10. System architecture: Hardware layer Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 6

  11. Timing synchronization ◮ Coordinated Universal Time (UTC) ◮ Pulse per second (PPS) ◮ 10MHz Clock ◮ Matching issues (50 Ohm) Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 7

  12. Timing synchronization ◮ Coordinated Universal Time (UTC) ◮ Pulse per second (PPS) ◮ 10MHz Clock ◮ Matching issues (50 Ohm) Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 7

  13. Timing synchronization ◮ Coordinated Universal Time (UTC) ◮ Pulse per second (PPS) ◮ 10MHz Clock ◮ Matching issues (50 Ohm) ◮ Can take one hour to have a good and stable fix Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 7

  14. Results: LTE Lite reception comparison ◮ GPS reception big issue ◮ Outside window of lab peaks of thousands of ns ◮ On the rooftop stable within 50 ns UTC offset Lab UTC offset Rooftop 3000 80 2000 60 1000 40 UTC offset [ns] 0 UTC offset [ns] -1000 20 -2000 0 -3000 -20 -4000 -5000 -40 0 2000 4000 6000 8000 10000 12000 0 500 1000 1500 2000 2500 3000 time time Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 8

  15. UHD/GNU Radio API ◮ Very helpful: http://files.ettus.com/manual/page_sync.html ◮ in general relatively large delays in SDR systems! ◮ need to synchronize the frontends for high accuracy 1. query the GPSDO for seconds and find PPS 2. now you have ∼ 1s to react before the next PPS 3. tell the device to set the internal time (+1s) on the next PPS ◮ UHD/GNU Radio: set time next pps(...) 4. use ntp for synchronization of the hosts Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 9

  16. Issues and comments ◮ Ettus devices: ◮ works well with UHD 3.8.5 ◮ issues (multichannel, synchronization) with 3.9 series ◮ Wait for 3.10 ◮ Maybe some additional information in the manual/documentation for API changes (something changed according to changelog) ◮ If necessary work with support to track down the bugs ◮ Test cases in internal Ettus quality control for signal integrity along all channels? ◮ Phase coherent synchronization is a different story Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 10

  17. Network programming ◮ Send message from fusion center to all receivers with time to receive and number of samples ◮ use UHD/GNU Radio stream command API stream cmd = uhd.stream cmd(uhd.stream cmd t.STREAM MODE NUM SAMPS AND DONE) stream cmd.num samps = samples to receive stream cmd.stream now = False stream cmd.time spec = time to sample self.usrp source.issue stream cmd(stream cmd) ◮ Wait for the samples and process in the fusion center ◮ provide results to all GUIs ◮ We use GNU Radio zeromq blocks for this ◮ General problems: throughput limit of the backbone, e.g., WiFi Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 11

  18. Results: Walk along the corridor Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 12

  19. Results: Walk along the corridor 15 10 5 0 -5 -10 0 50 100 150 200 250 300 350 Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 12

  20. System architecture: GUI Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 13

  21. System architecture: GUI Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 13

  22. Final comments and outlook ◮ Timing improvement: use a GPSDO that is able to run in “1D-Mode” with fixed position ◮ Use a reference station with a known position to calibrate out the timing drift ◮ problems with fast retuning of USRPs ◮ need stream command type of API for tune requests ◮ Ideal solution: RTK (Differential GPS) ◮ provide GPS raw data through UHD Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 14

  23. Finish Thank You! Questions? Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 15

  24. Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 16

  25. Finish Backup slides Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 17

  26. TDOA Recap Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 18

  27. TDOA Recap ◮ No direct ranging possible, system limitation, e.g., non cooperative case Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 18

  28. TDOA Recap ◮ No direct ranging possible, system limitation, e.g., non cooperative case ◮ Use time difference of arrival (TDOA), c is the speed of the wave → ∆( x , z k , z l ) = 1 c � z k − x � 2 − 1 c � z l − x � 2 Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 18

  29. TDOA Recap ◮ No direct ranging possible, system limitation, e.g., non cooperative case ◮ Use time difference of arrival (TDOA), c is the speed of the wave → ∆( x , z k , z l ) = 1 c � z k − x � 2 − 1 c � z l − x � 2 Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 18

  30. TDOA Recap ◮ No direct ranging possible, system limitation, e.g., non cooperative case ◮ Use time difference of arrival (TDOA), c is the speed of the wave → ∆( x , z k , z l ) = 1 c � z k − x � 2 − 1 c � z l − x � 2 Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 18

  31. TDOA Recap ◮ No direct ranging possible, system limitation, e.g., non cooperative case ◮ Use time difference of arrival (TDOA), c is the speed of the wave → ∆( x , z k , z l ) = 1 c � z k − x � 2 − 1 c � z l − x � 2 Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 18

  32. TDOA Recap ◮ No direct ranging possible, system limitation, e.g., non cooperative case ◮ Use time difference of arrival (TDOA), c is the speed of the wave → ∆( x , z k , z l ) = 1 c � z k − x � 2 − 1 c � z l − x � 2 ◮ Well known classical algorithms, e.g., [CH94] ◮ Grid based algorithm [SDM15] Theoretical Information Technology, Johannes Schmitz, Manuel Hern´ andez 18

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