In this paper, we consider the problem of dynamic selection of frequency modulated waveforms and their parameters for use in agile sensing. The waveform selection is driven by a tracker that uses probabilistic data association to track a single target in clutter, employing measurements derived from a nonlinear observations model. We present an algorithm that performs the selection so as to minimize the predicted mean square error which is computed using the unscented transform. We compare and analyze the performance of several trapezoidal envelope frequency modulated waveforms with different time-frequency structures using the Cramer-Rao lower bound. The simulation results indicate that the dynamic selection of waveforms and their corresponding parameters improves the tracking performance.

Original languageEnglish (US)
Title of host publication2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781538648483
StatePublished - Mar 21 2018
Event2nd International Waveform Diversity and Design Conference, WDD 2006 - Lihue, United States
Duration: Jan 22 2006Jan 27 2006


Other2nd International Waveform Diversity and Design Conference, WDD 2006
CountryUnited States


  • clutter
  • CRLB
  • tracking
  • waveform-agile sensors

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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