On Integrated Sensing and Communication Waveforms with Tunable PAPR

Ahmad Bazzi, Marwa Chafii

Research output: Contribution to journalArticlepeer-review


We present a novel approach to the problem of dual-functional radar and communication (DFRC) waveform design with adjustable peak-to-average power ratio (PAPR), while minimizing the multi-user communication interference and maintaining a similarity constraint towards a radar chirp signal. The approach is applicable to generic radar chirp signals and for different constellation sizes. We formulate the waveform design problem as a non convex optimization problem. As a solution, we adopt the alternating direction method of multipliers (ADMM), hence iterating towards a stable waveform for both radar and communication purposes. Additionally, we prove convergence of the proposed method and analyze its computational complexity. Moreover, we offer an extended version of the method to cope with imperfect channel state information (CSI). Finally, we demonstrate its superior performance through simulations, in comparison to state-of-the-art radar-communication waveform designs.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalIEEE Transactions on Wireless Communications
StateAccepted/In press - 2023


  • 6G
  • 6G mobile communication
  • DFRC
  • ISAC
  • Interference
  • JCS
  • Optimization
  • PAPR
  • Peak to average power ratio
  • Radar
  • Robot sensing systems
  • Sensors
  • imperfect CSI
  • optimization
  • waveform design

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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