  A MIMO radar system is proposed for obtaining angle and Doppler information
on potential targets. Transmitters and receivers are nodes of a small scale
wireless network and are assumed to be randomly scattered on a disk. The
transmit nodes transmit uncorrelated waveforms. Each receive node applies
compressive sampling to the received signal to obtain a small number of
samples, which the node subsequently forwards to a fusion center. Assuming that
the targets are sparsely located in the angle- Doppler space, based on the
samples forwarded by the receive nodes the fusion center formulates an
l1-optimization problem, the solution of which yields target angle and Doppler
information. The proposed approach achieves the superior resolution of MIMO
radar with far fewer samples than required by other approaches. This implies
power savings during the communication phase between the receive nodes and the
fusion center. Performance in the presence of a jammer is analyzed for the case
of slowly moving targets. Issues related to forming the basis matrix that spans
the angle-Doppler space, and for selecting a grid for that space are discussed.
Extensive simulation results are provided to demonstrate the performance of the
proposed approach at difference jammer and noise levels.
