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Waveform Design for Joint Radar-Communication Systems

Rezaei, Omid | 2025

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 58028 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Nayebi, Mohammad Mahdi; Naghsh, Mohammad Mahdi; Karbasi, Mohammad
  7. Abstract:
  8. The integration of radar and communication functionalities into a unified Joint Radar-Communication (JRC) system offers enhanced spectral efficiency and reduced hardware complexity. Recognized as a key enabler for next-generation wireless networks, JRC systems require a careful balance between radar and communication demands, where waveform design plays a pivotal role in achieving this equilibrium. Although waveform design has been extensively studied separately in radar and communication domains, the requirements of modern networks necessitate a unified approach that simultaneously addresses the needs of both systems. This thesis advances waveform design methodologies for JRC systems, optimizing their performance across diverse operational scenarios. First, a comprehensive JRC system model is introduced, and waveform design is formulated as a non-convex multi-objective optimization problem. Subsequently, novel solutions are proposed to effectively balance radar and communication performance. The latter sections of the thesis focus on the individual subsystems of the JRC framework. For radar-centric systems, waveform design with desirable autocorrelation properties is investigated to reduce sidelobe levels under various criteria. For communication-centric systems, waveform optimization in next-generation wireless networks is explored, leveraging advanced optimization techniques. Finally, the thesis bridges the gap between theoretical design and industrial implementation by addressing practical challenges such as hardware constraints and system integration strategies. The proposed solutions facilitate the real-world deployment of JRC technology. Simulation results validate the effectiveness of the designed waveforms in enhancing system performance for both integrated and standalone radar or communication tasks. These findings demonstrate the potential of waveform optimization to improve JRC system efficiency and pave the way for the practical adoption of this transformative technology
  9. Keywords:
  10. Waveform Design ; Joint Radar-Communication (JRC) ; Integrated Design ; Multiobjective Optimization ; Nonlinear Nonconvex Optimization ; Correlation Sidelobes

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