Time-varying waveform selection and configuration for agile sensors in tracking applications

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

26 Scopus citations

Abstract

In this paper, we present an algorithm for dynamic waveform selection and configuration for agile sensors in a target tracking application. The method selects and configures generalized frequency-modulated (FM) waveforms with time-varying signatures to minimize predicted mean squared tracking error. We derive the Cramer-Rao lower bound (CRLB) for these signals and use the CRLB in conjunction with the unscented transform to compute the predicted mean square error. The method is computationally feasible and applicable to nonlinear scenarios as demonstrated in our simulations.

Original languageEnglish (US)
Title of host publication2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PublisherInstitute of Electrical and Electronics Engineers Inc.
PagesV881-V884
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - Jan 1 2005
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeV
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Sira, S. P., Papandreou-Suppappola, A., & Morrell, D. (2005). Time-varying waveform selection and configuration for agile sensors in tracking applications. In 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions (pp. V881-V884). [1416445] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. V). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2005.1416445