Invariant detection and estimation for MIMO radar signals

Songsri Sirianunpiboon, Douglas Cochran, Stephen Howard

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

2 Scopus citations


Motivated primarily by electronic surveillance applications, but also by other potential uses in passive exploitation of radio frequency (RF) signals, this paper considers the problems of detecting the presence of and characterizing a radar transmitter using data collected at a spatially distributed suite of receivers. A characterization of a particular interest is determining the rank of the transmitted signal, which enables discrimination between multiple-input multiple-output (MIMO) and conventional radar transmitters as well as distinguishing between MIMO systems that simultaneously emit different numbers of linearly independent signals from their transmit arrays. In this paper, an invariant posterior distribution for position and signal rank of a MIMO radar emitter is derived based on non-informative prior distributions for the signal parameters. This allows MAP-based detection and signal rank estimation. These estimators are shown to significantly outperform maximum likelihood (ML)/BIC position and rank estimators.

Original languageEnglish (US)
Title of host publication2014 IEEE Radar Conference
Subtitle of host publicationFrom Sensing to Information, RadarCon 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781479920341
StatePublished - Jan 1 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: May 19 2014May 23 2014

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659


Other2014 IEEE Radar Conference, RadarCon 2014
Country/TerritoryUnited States
CityCincinnati, OH

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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