Sparsity-Driven Frequency Diverse MIMO Radar Imaging for Moving Targets
Keywords:
MIMO radar imaging, moving targets, sparse recovery, velocity estimationAbstract
By synthesizing multiple frequency signals into a
wideband signal, the frequency diverse multiple-input-multiple-
output (FD-MIMO) radar can obtain higher resolution than
ordinary MIMO radar. Furthermore, FD-MIMO radar can
obtain higher resolution and better recovery performance by
exploiting the sparsity of the targets. For moving targets with
unknown velocities, the recovery performance based on
compressive sensing (CS) would significantly degrade if the
estimation accuracy of velocities is not enough. We propose a
new approach of adaptive sparse recovery via velocity
estimation (ASR-VE) for multiple moving targets FD-MIMO
radar imaging. ASR-VE estimates the scattering coefficients as
well as the unknown velocities involved in the sensing matrix in
the loop iterations. Numerical simulations are carried out to
verify the effectiveness of the proposed method.
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