Waveform optimization for MIMO radar: A Cramér-Rao Bound based study

Luzhou Xu, Jian Li, Petre Stoica, Keith W. Forsythe, Daniel W. Bliss

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

33 Scopus citations

Abstract

A MIMO (multi-input multi-output) radar system, unlike standard phased-array radar, can transmit via its antennas multiple probing signals. This waveform diversity offered by MIMO radar enables superior capabilities compared with a standard phased-array radar. We consider MIMO radar waveform optimization for parameter estimation for the general case of multiple targets in the presence of spatially colored interference and noise. Numerical examples are provided to demonstrate the effectiveness of the approaches we consider herein.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesII917-II920
DOIs
StatePublished - Aug 6 2007
Externally publishedYes
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

    Fingerprint

Keywords

  • Cramér-Rao Bound (CRB)
  • Multiple-Input Multiple-Output (MIMO) radar
  • Waveform optimization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Xu, L., Li, J., Stoica, P., Forsythe, K. W., & Bliss, D. W. (2007). Waveform optimization for MIMO radar: A Cramér-Rao Bound based study. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. II917-II920). [4217559] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2). https://doi.org/10.1109/ICASSP.2007.366386