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The Spectrum Analysis Solution (SAS) System: Theoretical Analysis, Hardware Design and Implementation.

Ram M Narayanan1, Richard K Pooler2, Anthony F Martone3

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Summary
This summary is machine-generated.

This study introduces the Spectrum Analysis Solution (SAS) for cognitive radar, enabling adaptive spectrum sharing. It details algorithms for optimizing radar transmissions in dynamic radio frequency environments.

Keywords:
cognitive radardynamic spectral sharing (DSS)signal analyzerspectral occupancyspectral opportunity

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Area of Science:

  • Electrical Engineering
  • Radar Systems
  • Signal Processing

Background:

  • Cognitive and spectrally adaptive radar systems require advanced spectrum sensing capabilities.
  • Efficient spectrum sharing is crucial for next-generation radar applications.

Purpose of the Study:

  • To introduce the Spectrum Analysis Solution (SAS), a multichannel super-heterodyne signal analyzer for multi-purpose spectrum sensing.
  • To develop and evaluate spectrum sensing algorithms for spectrum sharing (SS) radar.

Main Methods:

  • The SAS features a wideband monitoring channel and eight narrowband channels operating from UHF to S-band.
  • Key spectrum characterization metrics include Bandwidth (BW), average total power, percent occupancy (PO), signal-to-interference-plus-noise ratio (SINR), and power spectral entropy (PSE).
  • Three optimal sub-band (OSB) algorithms (SS-MO, SS-BFE, SS-MO-BFE) were developed and evaluated for SS radar transmission.

Main Results:

  • The SAS facilitates dynamic tuning of narrowband channels to specific spectrum areas of interest.
  • The evaluated metrics provide a comprehensive characterization of the radio frequency spectrum.
  • The presented OSB algorithms demonstrate different approaches to identifying optimal transmission sub-bands.

Conclusions:

  • The SAS is a valuable tool for supporting spectrally adaptive and cognitive radar.
  • Spectrum sensing algorithms are essential for enabling efficient spectrum sharing in radar systems.
  • The developed OSB algorithms offer viable solutions for optimizing radar transmissions in shared spectrum environments.