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Cognitive radar waveform design for spectral compatibility

Cognitive radar waveform design for spectral compatibility

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This chapter has considered the cognitive design of radar waveforms in a spectrally crowded environment where some frequency bands are shared among the radar and other telecommunication systems. Cognition provided by a REM represents the key to an intelligent and dynamic spectrum allocation. In fact, REM information induces dynamic spectral constraints on the radar waveform which is thus the result of a constrained optimization process aimed at improving some radar performance measures such as detection capabilities and ambiguity function properties. Either global and local spectral compatibility requirements have been considered at the design stage. Hence, polynomial computational complexity solution procedures have been developed to synthesize optimized radar waveforms. The performance of the synthesized signals has been analyzed studying the trade-off among the achievable SINR, spectral shape, ACF features, and radiated energy. Remarkably, the local constraint approach is able to ensure a precise control on the interference energy induced on each shared/reserved bandwidth at the price of a slight performance reduction. Possible future research tracks might concern the development of robust frameworks to contrast transmitter impurities and the cognitive fully exploitation of the available multiple dimensions, i.e., spatial, temporal, and polarizations, to improve further system performance.

Chapter Contents:

  • 4.1 Introduction
  • 4.2 System and problem formulation
  • 4.2.1 System model
  • 4.2.2 Code design optimization formulation
  • 4.2.3 Cognitive spectrum awareness
  • 4.3 Solution algorithm and performance analysis
  • 4.3.1 Local design solution technique
  • 4.4 Conclusion
  • Appendix A
  • A.1 Waveform design algorithm for global interference requirements
  • A.2 Waveform design algorithm for local interference requirements
  • References

Inspec keywords: optimisation; signal synthesis; radar detection; radar interference; polynomials; radar transmitters; computational complexity

Other keywords: polarization; signal synthesis; interference energy; spectral compatibility; ACF; cognitive radar waveform design; constrained optimization process; telecommunication system; spectral crowded environment; radar detection; SINR; polynomial computational complexity solution; radar transmitter; REM; intelligent dynamic spectrum allocation

Subjects: Radar equipment, systems and applications; Algebra; Optimisation techniques; Signal detection; Electromagnetic compatibility and interference

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