MIMO radar: Joint array and waveform optimization

D. W. Bliss, K. W. Forsythe, C. D. Richmond

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

7 Scopus citations

Abstract

In this paper, techniques for the optimization of multiple-input multiple-output (MIMO) radar waveform correlations and array geometries are investigated. The primary focus of this study is improved angle-estimation performance. This performance can be characterized by the Cramer-Rao angleestimation bound and by the threshold point. The threshold point indicates the signal-to-noise ratio (SNR) at which the angleestimation performance of an estimation statistic deviates from the Cramer-Rao bound performance. Approximation techniques for estimating the threshold are introduced. Examples of joint waveform and array geometry optimization are presented.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages207-211
Number of pages5
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
CountryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Bliss, D. W., Forsythe, K. W., & Richmond, C. D. (2007). MIMO radar: Joint array and waveform optimization. In Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC (pp. 207-211). [4487196] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2007.4487196