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Sparse array designs have focused mostly on angular resolution, peak sidelobelevel and directivity factor of virtual arrays for multiple-inputmultiple-output (MIMO) radar. The notion of the MIMO radar virtual array isbased 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 andDOA of targets in multipath scenarios are likely to be very different. Theidentification of multipath targets requires DOD-DOA imaging using the thetransmit and receive arrays, not the virtual array. To improve the imaging ofboth direct path and multipath targets, we introduce several new criteria forMIMO radar sparse linear array (SLA) designs for multipath scenarios. Under thenew criteria, we adopt a cyclic optimization strategy under a coordinatedescent framework to design the MIMO SLAs. We present several numericalexamples to demonstrate the effectiveness of the proposed approaches.

Sparse array design for MIMO radar in multipath scenarios