  Sparse array designs have focused mostly on angular resolution, peak sidelobe
level and directivity factor of virtual arrays for multiple-input
multiple-output (MIMO) radar. The notion of the MIMO radar virtual array is
based on the direct path assumption in that the direction-of-departure (DOD)
and direction-of-arrival (DOA) of the targets are equal. However, the DOD and
DOA of targets in multipath scenarios are likely to be very different. The
identification of multipath targets requires DOD-DOA imaging using the the
transmit and receive arrays, not the virtual array. To improve the imaging of
both direct path and multipath targets, we introduce several new criteria for
MIMO radar sparse linear array (SLA) designs for multipath scenarios. Under the
new criteria, we adopt a cyclic optimization strategy under a coordinate
descent framework to design the MIMO SLAs. We present several numerical
examples to demonstrate the effectiveness of the proposed approaches.
