209 / 2020-01-01 05:36:00
Chance Constrained Beamforming for Joint Radar-Communication Systems
Intelligent sensor arrays; Joint radar-communication system; Spectrum sharing; Robust beamforming; Chance constrained programming
Draft Accepted
Ammar Ahmed / Temple University, USA
Dennis Silage / Temple University, USA
Yimin D. / Temple University, USA
We present an intelligent sensor array-based joint radar-communication system which exploits chance constrained programming-based optimization strategy that results in a robust beamforming design. Probabilistic chance constraints are introduced for the communication operation where the communication objectives are achieved with a desired success rate in the presence of communication channel uncertainties. The chance constraints are then relaxed into deterministic and convex ones by employing the statistical profile of the communication channels. Simulation results illustrate the performance of the proposed strategy.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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