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Secure OFDM Waveform Design for ISAC: Artificial Phase-Doppler Shifts Against Passive Sensing

Umut Utku Erdem, Lucas Giroto, Tobias Chaloun, Tom Schipper, Taewon Jeong, Christian Karle, Benjamin Nuss, Thomas Zwick

Abstract

This paper proposes a novel low probability of intercept (LPI) waveform design approach for orthogonal frequency-division multiplexing (OFDM)-based integrated sensing and communication systems by introducing artificial phase and Doppler shifts. These controlled impairments, unknown to eavesdroppers, effectively disrupt passive radar processing and intercept attempts. At legitimate receivers, they can be fully compensated, so that standard OFDM communication and sensing performance are preserved. To support the effectiveness of the proposed LPI waveform design for OFDM-based ISAC, measurement results with 1 GHz bandwidth at 27 GHz are presented considering different impairment introduction approaches, all with no impact on cooperative system performance, and compensation capabilities at the eavesdropper.

Secure OFDM Waveform Design for ISAC: Artificial Phase-Doppler Shifts Against Passive Sensing

Abstract

This paper proposes a novel low probability of intercept (LPI) waveform design approach for orthogonal frequency-division multiplexing (OFDM)-based integrated sensing and communication systems by introducing artificial phase and Doppler shifts. These controlled impairments, unknown to eavesdroppers, effectively disrupt passive radar processing and intercept attempts. At legitimate receivers, they can be fully compensated, so that standard OFDM communication and sensing performance are preserved. To support the effectiveness of the proposed LPI waveform design for OFDM-based ISAC, measurement results with 1 GHz bandwidth at 27 GHz are presented considering different impairment introduction approaches, all with no impact on cooperative system performance, and compensation capabilities at the eavesdropper.
Paper Structure (6 sections, 9 equations, 3 figures, 1 table)

This paper contains 6 sections, 9 equations, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. System Model
  3. Legitimate Receiver Processing
  4. Eavesdropper Processing
  5. Measurement Results
  6. Conclusion

Figures (3)

  • Figure 1: Multi-node ISAC system model where an eavesdropper (Eve) performs passive sensing using the signals transmitted from ISAC Node #1 (Alice)
  • Figure 2: Measurement environment used for algorithm validation. The same receive antenna is used for legitimate receiver and Eve processing.
  • Figure 3: Radar images at (a) legitimate receiver, (b) blind Eve when OFDM-symbol-wise phase rotations are applied, (c) smart Eve when OFDM-symbol-wise phase rotations are applied, and (d) smart Eve when subcarrier-wise phase rotation is applied.