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SINR- and MI-Based Double-Robust Waveform Design.

Fengming Xin1, Jing Li1, Yan Wang1

  • 1School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.

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|December 23, 2022
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Summary
This summary is machine-generated.

Cognitive radar requires adaptive waveform design. A novel double-robust method maximizes signal-to-interference-plus-noise ratio (SINR) and mutual information (MI) even with imprecise target and clutter spectrum data.

Keywords:
double-robustmutual information (MI)signal-to-interference-plus-noise ratio (SINR)single-robust

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radar Systems

Background:

  • Traditional radar operates in an open-loop mode, limiting adaptability.
  • Cognitive radar enables adaptive waveform design, a critical research area.
  • Accurate target and clutter spectrum characterization is often impractical.

Purpose of the Study:

  • To investigate radar transmitted waveform design in clutter environments.
  • To address challenges posed by imprecise target or clutter spectrum information.
  • To develop a robust waveform design method for cognitive radar.

Main Methods:

  • Introduced a single-robust transmitted waveform design for imprecise spectrum data.
  • Proposed a novel double-robust transmitted waveform design method.
  • Utilized signal-to-interference-plus-noise ratio (SINR) and mutual information (MI) as objective functions.
  • Formulated optimization models under transmitted energy constraints.
  • Employed the Lagrange multiplier method for optimal waveform derivation.

Main Results:

  • The double-robust transmitted waveform maximizes SINR and MI under worst-case conditions.
  • This method ensures optimal performance even with uncertain spectrum information.
  • Alternative waveforms lead to degraded SINR and MI performance.

Conclusions:

  • The double-robust waveform design is highly effective for cognitive radar in clutter.
  • This approach provides superior performance compared to other methods.
  • It offers a robust solution for adaptive waveform design in practical radar systems.