Improved 2-class target classification performance using radar waveform design

S. Z. Alshirah, B. Mulgrew

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper establishes the importance of radar waveforms in determining classification performance in radar systems. The paper derives a closed-form solution for the optimal waveform design. The objective is to minimise the probability of target misclassification in a 2-class problem while satisfying an energy constraint. The derivation results in a simple analytical form for the spectrum of the optimal signal. An example is presented showing the improvement in classification performance of the optimal waveform over a linearly frequency modulated waveform.
Original languageEnglish
Title of host publication2018 IEEE Radar Conference (RadarConf18)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)978-1-5386-4167-5
Publication statusPublished - 1 Apr 2018
Event2018 IEEE Radar Conference - Oklahoma City, United States
Duration: 23 Apr 201827 Apr 2018


Conference2018 IEEE Radar Conference
Abbreviated titleRADARCONF'18
Country/TerritoryUnited States
CityOklahoma City

Keywords / Materials (for Non-textual outputs)

  • radar signal processing
  • target tracking
  • 2-class target classification performance
  • closed-form solution
  • energy constraint
  • linearly frequency modulated waveform
  • optimal signal
  • optimal waveform design
  • radar systems
  • radar waveform design
  • simple analytical form
  • target misclassification
  • Cognitive radar
  • Fourier transforms
  • Hardware
  • Optimization
  • Receivers
  • Transmitters
  • Radar
  • adaptive
  • classification
  • waveform design


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