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## Cognitive waveform design for spectral coexistence

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Novel Radar Techniques and Applications Volume 2: Waveform Diversity and Cognitive Radar, and Target Tracking and Data Fusion — Recommend this title to your library

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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
• 3.6.1.1 Proof of Proposition 3.6.1
• 3.6.1.2 Proof of Proposition 3.6.2
• 3.6.1.3 Proof of Proposition 3.6.3
• 3.6.2 Waveform design algorithm for signal-independent scenario
• 3.6.2.1 Feasibility of P3
• 3.6.3 Waveform design algorithm for signal-dependent scenario
• References

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