MIMO radar with widely separated antennas

Alexander M. Haimovich; Rick S. Blum; Leonard J. Cimini

doi:10.1109/MSP.2008.4408448

MIMO radar with widely separated antennas

Alexander M. Haimovich, Rick S. Blum, Leonard J. Cimini

Research output: Contribution to journal › Review article › peer-review

2035 Scopus citations

Abstract

A review on Multiple-input multiple-output (MIMO) radar is given that is with widely separated antennas. MIMO radar is an architecture that employs multiple, spatially distributed transmitters and receivers and is even considered as a multistatic radar. The spatial diversity of the target's radar cross section (RCS) is being captured by these widely separated transmit/receive antennas. Explanations and some illustrations of the unique features of MIMO radar are given. A target's RCS spatial variations can be utilized with noncoherent processing to obtain a diversity gain for target detection and for the estimation of various parameters. Furthermore, coherent processing can provide a resolution that is far better than the ones supported by the radar's waveform.

Original language	English (US)
Pages (from-to)	116-129
Number of pages	14
Journal	IEEE Signal Processing Magazine
Volume	25
Issue number	1
DOIs	https://doi.org/10.1109/MSP.2008.4408448
State	Published - Jan 2008

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/MSP.2008.4408448

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title = "MIMO radar with widely separated antennas",

abstract = "A review on Multiple-input multiple-output (MIMO) radar is given that is with widely separated antennas. MIMO radar is an architecture that employs multiple, spatially distributed transmitters and receivers and is even considered as a multistatic radar. The spatial diversity of the target's radar cross section (RCS) is being captured by these widely separated transmit/receive antennas. Explanations and some illustrations of the unique features of MIMO radar are given. A target's RCS spatial variations can be utilized with noncoherent processing to obtain a diversity gain for target detection and for the estimation of various parameters. Furthermore, coherent processing can provide a resolution that is far better than the ones supported by the radar's waveform.",

author = "Haimovich, {Alexander M.} and Blum, {Rick S.} and Cimini, {Leonard J.}",

note = "Funding Information: The authors would like to thank Dr. Nikolaus Lehmann for his help in running simulations and generating some of the figures in the article. The work of Alexander Haimovich was supported in part by the Air Force Research Laboratory under agreement No. FA9550-06-1-0026. The work of Rick S. Blum was supported by the Air Force Research Laboratory under agreement No. FA9550-06-1-0041. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",

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doi = "10.1109/MSP.2008.4408448",

language = "English (US)",

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N2 - A review on Multiple-input multiple-output (MIMO) radar is given that is with widely separated antennas. MIMO radar is an architecture that employs multiple, spatially distributed transmitters and receivers and is even considered as a multistatic radar. The spatial diversity of the target's radar cross section (RCS) is being captured by these widely separated transmit/receive antennas. Explanations and some illustrations of the unique features of MIMO radar are given. A target's RCS spatial variations can be utilized with noncoherent processing to obtain a diversity gain for target detection and for the estimation of various parameters. Furthermore, coherent processing can provide a resolution that is far better than the ones supported by the radar's waveform.

AB - A review on Multiple-input multiple-output (MIMO) radar is given that is with widely separated antennas. MIMO radar is an architecture that employs multiple, spatially distributed transmitters and receivers and is even considered as a multistatic radar. The spatial diversity of the target's radar cross section (RCS) is being captured by these widely separated transmit/receive antennas. Explanations and some illustrations of the unique features of MIMO radar are given. A target's RCS spatial variations can be utilized with noncoherent processing to obtain a diversity gain for target detection and for the estimation of various parameters. Furthermore, coherent processing can provide a resolution that is far better than the ones supported by the radar's waveform.

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MIMO radar with widely separated antennas

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All Science Journal Classification (ASJC) codes

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