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Spectrum Sharing between Radar and Communication Systems



  1. NSF ECCS1443967 EARS Collaborative Research Lets share CommRad – Spectrum Sharing Between Communications and Radar Systems

Problem Statement and Motivation 

  • Increased demand for wireless services necessitates the spectrum co-existence between radar and communication systems.
  • How an unaltered radar pulse affects the performance of an uncoded communication RX in terms of the Symbol Error Rate (SER).
  • Optimize a signal constellation that achieves lowest SER:
    • Weak radar interference (INR << SNR):
      • Radar interference is treated as Gaussian noise.
      • Optimal constellation has a shape of concentric hexagons.
    • Moderate radar interference (INR ≈ SNR):
      • Yields the highest SER.
    • Strong radar interference (INR >> SNR >> 1):
      • Radar signal is completely canceled along with part of comm signal resulting in an irreducible error floor.
      • Optimal constellation has a shape of an unevenly-spaced PAM.

Technical Approach

  • Derive the SER for the optimal ML decoder and its approximations using the communication theoretic approach.



Key Achievements and Future Goals

  • N. Nartasilpa, D. Tuninetti, N. Devroye, and D. Erricolo, “Let’s share CommRad: effect of radar interference on an uncoded data commu- nication system,” in Proc. of IEEE RadarCon, May 2016.
  • N. Nartasilpa, D. Tuninetti, N. Devroye, and D. Erricolo, “On the error rate of a communication system suffering from additive radar interfer- ence,” in Proc. of IEEE GlobeCom, Dec 2016.
  • N. Nartasilpa, D. Tuninetti, N. Devroye, and D. Erricolo, “Signal constellation optimization in the presence of radar interference and Gaussian noise,” in submitted to Proc. of IEEE ICC, May 2017.
  • Extensions to more practical models such as fading channels, OFDM channels, MIMO channels, and channel-coded systems.

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