Procedure for detecting the number of signal components in a radar measurement

Pinyuen Chen, Michael C. Wicks

Research output: Contribution to conferencePaper

9 Scopus citations

Abstract

Statistical selection theory is used to detect the multiplicity of the smallest eigenvalues of the covariance matrix, computed using measured multi-channel multi-pulse radar data. A selection procedure is proposed to estimate the multiplicity and value of the smallest eigenvalue(s), which are significantly smaller than other eigenvalues. The probability of a correct selection, P(CS), and the least favorable configuration (LFC) for the procedures are derived.

Original languageEnglish (US)
Pages451-456
Number of pages6
StatePublished - Jan 1 2000
Externally publishedYes
EventIEEE 2000 International Radar Conference - Alexandria, VA, USA
Duration: May 7 2000May 12 2000

Other

OtherIEEE 2000 International Radar Conference
CityAlexandria, VA, USA
Period5/7/005/12/00

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Chen, P., & Wicks, M. C. (2000). Procedure for detecting the number of signal components in a radar measurement. 451-456. Paper presented at IEEE 2000 International Radar Conference, Alexandria, VA, USA, .