Non-coherent MIMO radar for target estimation: More antennas means better performance

Qian He, Rick S. Blum, Alexander M. Haimovich

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

20 Scopus citations

Abstract

This paper presents an analysis of the joint estimation of target location and velocity using multiple-input multiple-output (MIMO) radar. A theorem is formulated on the asymptotic properties of the maximum likelihood (ML) estimate The joint Cramer-Rao bound (CRB) is calculated for a Rayleigh fluctuating extended target. The mean square error (MSE) of the ML estimate is analyzed for orthogonal Gaussian pulses. It is shown that the signal to noise ratio (SNR) boundary between low and high MSE values can be lowered by increasing the number of antennas. The non-coherent MIMO radar ambiguity function (AF) is developed and illustrated by examples. It is shown that the product of the number of transmit and receive antennas can control the sidelobes level of the AE

Original languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages108-113
Number of pages6
DOIs
StatePublished - Oct 12 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Publication series

NameProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
CountryUnited States
CityBaltimore, MD
Period3/18/093/20/09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

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