TY - GEN

T1 - Colocated MIMO radars using the sparse fourier transform

AU - Yang, Xiaqing

AU - Li, Bo

AU - Petropulu, Athina P.

PY - 2015/5/15

Y1 - 2015/5/15

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84944691830&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84944691830&partnerID=8YFLogxK

M3 - Conference contribution

T3 - Annual Review of Progress in Applied Computational Electromagnetics

BT - 2015 31st International Review of Progress in Applied Computational Electromagnetics, ACES 2015

PB - Applied Computational Electromagnetics Society (ACES)

T2 - 31st International Review of Progress in Applied Computational Electromagnetics, ACES 2015

Y2 - 22 March 2015 through 26 March 2015

ER -