Adaptive Waveform Design for Cognitive MIMO ISAC

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work addresses the problem of cognitive integrated sensing and communications (ISAC) waveform design, which presents a challenging task due to the need to balance different optimization criteria for communications and sensing performances. In the proposed cognitive approach, the transmit beamforming is dynamically adapted based on past measurements, in order to minimize the Bayesian Cramér- Rao bound (BCRB) on target parameters, while satisfying the minimum required communication channel capacity. Simulations demonstrate that the proposed adaptive waveform design achieves high estimation performance while satisfying the communication capacity requirements, effectively addressing the inherent ISAC trade-offs.

Original languageAmerican English
Title of host publication2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025 - Workshop Proceedings
ISBN (Electronic)9798331519315
DOIs
StatePublished - 1 Jan 2025
Event2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025 - Hyderabad, India
Duration: 6 Apr 202511 Apr 2025

Publication series

Name2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025 - Workshop Proceedings

Conference

Conference2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025
Country/TerritoryIndia
CityHyderabad
Period6/04/2511/04/25

Keywords

  • Bayesian Cramér-Rao bound (BCRB)
  • Integrated sensing and communications (ISAC)
  • adaptive beamforming
  • cognitive radar
  • multiple-input multiple-output (MIMO)

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Media Technology
  • Acoustics and Ultrasonics

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