Title :
MIMO adaptive beamforming for nonseparable multipath clutter mitigation
Author :
Yu, J. ; Krolik, J.
Author_Institution :
Duke Univ., Durham, NC, USA
Abstract :
The performance of ground-moving target indicator radars is often degraded in complex terrain by multipath spread-Doppler clutter. Multiple-input, multiple-output (MIMO) beamforming with limited training data has been previously proposed with separable transmit and receive weights appropriate for discrete multipath scenarios. In this paper, partially adaptive MIMO beamforming is presented for suppression of a nonseparable continuum of multipath clutter with limited training data. Simulation results for a forward-looking vehicle-mounted radar in a simplified urban environment are described.
Keywords :
Doppler radar; MIMO radar; array signal processing; interference suppression; radar clutter; radar target recognition; MIMO adaptive beamforming; forward-looking vehicle-mounted radar; ground-moving target indicator radars; multipath spread-Doppler clutter; multiple-input multiple-output beamforming; nonseparable multipath clutter mitigation; Array signal processing; Clutter; Covariance matrices; Ground-moving targets; MIMO; MIMO radar;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2014.130451