Colocated MIMO radars using the sparse fourier transform

Xiaqing Yang, Bo Li, Athina P. Petropulu

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

1 Scopus citations

Abstract

We consider a MIMO radar system with Mt transmit and Mr receive antennas, which uses uniform linear arrays (ULAs), transmits orthogonal waveforms and implements matched filtering at the receive antennas. Under certain conditions, the receive antennas snapshot can be viewed as a signal containing spatial frequencies, which are directly related to target direction of arrivals. For a small number of targets relative to the product MtMr, the snapshot is sparse in the spatial frequency domain, thus we propose to employ the Sparse Fourier Transform (SFT) to estimate the targets. The SFT enables the MIMO radar to operate at the same resolution as an MtMr-antenna phased array, while employing only O(K log2(Mt2Mr)) matched filters, where K is an integer larger than and proportional to the number of targets; a typical MIMO radar would require MtMr matched filters to achieve the same resolution. Thus, the SFT enables lower operational cost for the MIMO radar system.

Original languageAmerican English
Title of host publication2015 31st International Review of Progress in Applied Computational Electromagnetics, ACES 2015
PublisherApplied Computational Electromagnetics Society (ACES)
ISBN (Electronic)9780996007818
StatePublished - May 15 2015
Event31st International Review of Progress in Applied Computational Electromagnetics, ACES 2015 - Williamsburg, United States
Duration: Mar 22 2015Mar 26 2015

Publication series

NameAnnual Review of Progress in Applied Computational Electromagnetics
Volume2015-May

Other

Other31st International Review of Progress in Applied Computational Electromagnetics, ACES 2015
Country/TerritoryUnited States
CityWilliamsburg
Period3/22/153/26/15

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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