a watermarking like scheme for cubesat communications
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A WATERMARKING LIKE SCHEME FOR CUBESAT COMMUNICATIONS Luciano Barros - PowerPoint PPT Presentation

06/12/2018 10 th European Cubesat Symposium A WATERMARKING LIKE SCHEME FOR CUBESAT COMMUNICATIONS Luciano Barros Cardoso da Silva 1, 2 Tarik Benaddi 1 Laurent Franck 3 1- IMT Atlantique, Lab-STICC, Toulouse, France; 2- National Institute for


  1. 06/12/2018 10 th European Cubesat Symposium A WATERMARKING LIKE SCHEME FOR CUBESAT COMMUNICATIONS Luciano Barros Cardoso da Silva 1, 2 Tarik Benaddi 1 Laurent Franck 3 1- IMT Atlantique, Lab-STICC, Toulouse, France; 2- National Institute for Space Research (INPE), Brazil; 3- Airbus Defence and Space, Toulouse, France;

  2. 2 06/12/2018 10 th European Cubesat Symposium Agenda 1. Background and Purpose 2. System Model 3. Design Procedure and Encoding Strategies • Primary User Link - Superposition • Cognitive User Link – Dirty Paper Coding (DPC) 4. Results and Discussions 5. Future Investigations

  3. 3 06/12/2018 10 th European Cubesat Symposium Background and Purpose • Cubesat application for store and forward payload (S&F); • Low complexity design by using COTS components and SDR; • Watermarking scheme in order to assure the confidentially, integrity and authentication of the data received; • Transmission of both license (data) and additional (watermarking) service concurrently at the same frequency, time and space.

  4. 4 06/12/2018 10 th European Cubesat Symposium Background and Purpose Overlay Satellite Scenario Primary User (PU) Cognitive User (CU) (watermarking)

  5. 5 06/12/2018 10 th European Cubesat Symposium System Model Overlay Channel • Channel Equations:

  6. 6 06/12/2018 10 th European Cubesat Symposium System Model Overlay Channel – worst scenario Primary demodulator Terminal « Cognitive » demodulator • Maximum interference case (without additional attenuation in the interfering paths); • Only one system of reception equipped with two demodulators (after ADC); • Channel gains h determined by the link budget; • Same system noise temperature for both links.

  7. 7 06/12/2018 10 th European Cubesat Symposium High Level Specification for Cubesat Communication System 1. Primary User Signal • Output Power - 1 W; • Downlink Operating Frequency – 2200 MHz (EESS Downlink Band); • Bit rate – 3.4 Mbps; • BER – 10 -5 • Convolutional coded QPSK R=1/2 L=5; 2. Cognitive User Signal (watermarking) • Scheme of secure transmission aggregated to the legacy infrastructure of PU; • Security service should be independent of PU Signal; • Bit Rate >16 kbps.

  8. 8 06/12/2018 10 th European Cubesat Symposium Cubesat Link Budget (QPSK coded FEC R=1/2) Frequency (MHz) 2200 Throughput Rate (Mbps) 3.4 Transmit Power (W) 1 Satellite Carrier EIRP (dBm) 38.3 Free Space Loss (dB) -162.2 Depointing Loss(dB) -10 Ground Station Antenna max gain - 5m, eff 50% (dBi) 38.2 System Noise temperature (K) 130 C/N0 (dBHz) 81.8 Eb/N0 (dBHz) 16.5 Demodulation losses (dB) -6 Eb/N0 required - BER = 10e-5 (dB) 7 Margin (dB) 3.5

  9. 9 06/12/2018 10 th European Cubesat Symposium System Design Primary User Interference Analysis

  10. 10 06/12/2018 10 th European Cubesat Symposium CU Encoding Strategies PU Link - Superposition • CU allocates partial power for assisting the PU transmission • The signal-to-interference-plus-noise ratio at PU receiver is given by:

  11. 11 06/12/2018 10 th European Cubesat Symposium CU Encoding Strategies CU Link – Dirty Paper Coding (PIP) 1. Output Transmitted Signal: 2. Received Signal at CU Terminal: 3. Effective SNR at CU Decoder:

  12. 12 06/12/2018 10 th European Cubesat Symposium CU Encoding Strategies Adaptation of Voronoi Precoder L. B. C. da Silva, T. Benaddi and L. Franck, "Cognitive Radio Overlay Paradigm Towards Satellite Communications," 2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) , Batumi, 2018, pp. 1-5. L. B. C. da Silva, T. Benaddi and L. Franck, "A Design Method of Cognitive Overlay Links for Satellite Communications," 2018 9th Advanced Satellite Multimedia Systems Conference and the 15th Signal Processing for Space Communications Workshop (ASMS/SPSC) , Berlin, 2018, pp. 1-6.

  13. 06/12/2018 13 10 th European Cubesat Symposium CU Encoding Strategies Dirty Paper Coding (PIP) – Scatter Plot Scatter plot 10 5 Quadrature 0 -5 -10 -10 -5 0 5 10 In-Phase Scatter plot: Xcc (green); S (red) and Xhat (blue)

  14. 14 06/12/2018 10 th European Cubesat Symposium Results Watermarking link Bit Error Rate (BER) for Watermarking Signal Watermarking Signal PU=7dB + Interference PU=7dB AWGN 0.1 0.01 BER 0.001 1.0E-4 1e-05 3 4 5 6 7 8 9 10 11 12 13 14 E b { N 0 at CU Receiver

  15. 15 06/12/2018 10 th European Cubesat Symposium Cubesat Link Budget (Watermarking) 0.1*0.15=15mW (11.8 dBm) Transmit Power (W) Satellite Carrier EIRP (dBm) 20.1 Free Space Loss (dB) -162.2 Depointing Loss (dB) -10 Ground Station Antenna max gain - 5m, eff 50% (dBi) 38.2 System Noise temperature (K) 130 C/N0 (dBHz) 63.6 Demodulation losses (dB) -6 Eb/N0 required - BER = 10e-3 (dB) 10 12.5 Eb/N0 required - BER = 10e-5 (dB) Margin (dB) 3 Bit Rate - BER = 10e-3 (kbps) 28.8 Bit Rate - BER = 10e-5 (kbps) 16.2

  16. 16 06/12/2018 10 th European Cubesat Symposium Results Conclusion Design of a solution for watermarking scheme in satellite communication context by using realistic Cubesat scenario parameters; The Primary User performance is maintained as in absence of the watermarking transmission; The Watermarking signal transmission reaches a bit rate >16 kbps by using Trellis Shaping based Dirty Paper Coding Scheme; An increase of the output satellite power due to the intrinsic correlation of the superposition technique (in this scenario, the final total power transmitted at the satellite antenna is about 32 dBm instead of 30 dBm).

  17. 17 06/12/2018 10 th European Cubesat Symposium Future Investigations Proof of concept by means of SDR implementation; 1. Satellite Impairments and other satellite modulations 2. schemes on overlay techniques.

  18. 18 06/12/2018 10 th European Cubesat Symposium THANK YOU Comments/Questions luciano.barroscardosodasilva@imt-atlantique.fr

  19. 19 06/12/2018 10 th European Cubesat Symposium Main References [1] L. B. C. da Silva, T. Benaddi and L. Franck, "Cognitive Radio Overlay Paradigm Towards Satellite Communications," 2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) , Batumi, 2018, pp. 1-5. [2] L. B. C. da Silva, T. Benaddi and L. Franck, "A Design Method of Cognitive Overlay Links for Satellite Communications," 2018 9th Advanced Satellite Multimedia Systems Conference and the 15th Signal Processing for Space Communications Workshop (ASMS/SPSC) , Berlin, 2018, pp. 1-6. [3] A. Jovicic and P. Viswanath, “Cognitive radio: An informationtheoretic perspective,” IEEE Transactions on Information Theory, vol. 55, no. 9, pp. 3945–3958, 2009. [4] D. Barbari ć , J. Vukovi ć and D. Babic, "Link budget analysis for a proposed Cubesat Earth observation mission," 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) , Opatija, 2018, pp. 0133-0138. [5] G. Maral, M. Bousquet, Satellite Communications Systems: Systems, Techniques and Technology, John Wiley & Sons, 2011.

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