DocumentCode
1931199
Title
MIMO radar target measurements
Author
Stewart, Kyle B. ; Frankford, Mark T. ; Johnson, Joel T. ; Ertin, Emre
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear
2011
fDate
6-9 Nov. 2011
Firstpage
1067
Lastpage
1071
Abstract
Widely-spaced Multiple-Input Multiple-Output (MIMO) radar seeks to exploit an angular diversity of measurements in order to improve target detection performance. Such systems have been predicted to outperform equivalent phased-array configurations given a suitably low-noise environment. However, these predictions have been based on the use of a target model comprising a finite area filled with an infinite number of uncorrelated point-source scatterers, and the applicability of such models when applied to realistic MIMO radars and targets remains to be demonstrated. An extended target model is offered in which scattering amplitudes in the random target are correlated as a function of spatial proximity. This model is evaluated for its utility in describing the average radar profiles of two targets: a numerically-simulated helicopter and an experimentally measured unmanned aerial vehicle. Results demonstrate a limited applicability of the new target model but serve to verify several predictions concerning the target detection performance of MIMO radars when compared to phased arrays.
Keywords
MIMO radar; helicopters; numerical analysis; object detection; radar detection; MIMO radar target measurements; experimentally measured unmanned aerial vehicle; extended target model; low-noise environment; numerically-simulated helicopter; phased array radar; scattering amplitudes; spatial proximity function; target detection performance; uncorrelated point-source scatterers; widely-spaced multiple-input multiple-output radar; Antenna measurements; Helicopters; MIMO; MIMO radar; Predictive models; Receivers;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4673-0321-7
Type
conf
DOI
10.1109/ACSSC.2011.6190176
Filename
6190176
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