Cognitive waveform design for spectral coexistence

Cognitive waveform design for spectral coexistence

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Radar signal design in a spectrally dense environment is a very challenging and topical problem due to the increasing demand of both defence surveillance/remote sensing capabilities and civilian wireless services. This chapter describes an optimization theory-based radar waveform design to deal with the spectrum congestion problem. Cognition provided by a radio environmental map paves the way for an intelligent dynamic spectrum allocation. It pushes for dynamic spectral constraints on the radar waveform which is thus the result of a constrained optimization process aimed at improving some radar performance (such as detection, classification and tracking capabilities) while ensuring spectral compatibility with the surrounding radio frequency licensed systems. Finally, some spectrally crowded illustrative scenarios are analyzed to show the effectiveness of the considered optimization theory-based approach.

Chapter Contents:

  • Abstract
  • 3.1 Introduction
  • 3.2 System model and problem formulation
  • 3.2.1 Code design optimization problem
  • 3.2.2 Cognitive spectrum awareness
  • 3.2.3 Feasibility issues
  • 3.3 Signal-independent interference scenario
  • 3.4 Signal-dependent interference scenario
  • 3.5 Conclusions
  • 3.6 Appendix
  • 3.6.1 Feasibility of P
  • Proof of Proposition 3.6.1
  • Proof of Proposition 3.6.2
  • Proof of Proposition 3.6.3
  • 3.6.2 Waveform design algorithm for signal-independent scenario
  • Feasibility of P3
  • 3.6.3 Waveform design algorithm for signal-dependent scenario
  • References

Inspec keywords: spectral analysis; radio spectrum management; optimisation; radar signal processing; telecommunication traffic

Other keywords: radio environmental map; defence surveillance; cognitive waveform design; spectrum congestion problem; radio frequency licensed systems; constrained optimization process; intelligent dynamic spectrum allocation; dynamic spectral constraints; spectral coexistence; remote sensing capabilities; radar signal design; optimization theory-based radar waveform design; civilian wireless services; spectrally dense environment

Subjects: Radar equipment, systems and applications; Radar theory; Optimisation techniques; Signal processing and detection; Radio links and equipment

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