  Cognitive multiple-input multiple-output (MIMO) radar is capable of adjusting
system parameters adaptively by sensing and learning in complex dynamic
environment. Beamforming performance of MIMO radar is guided by both
beamforming weight coefficients and the transceiver configuration. We propose a
cognitive-driven MIMO array design where both the beamforming weights and the
transceiver configuration are adaptively and concurrently optimized under
different environmental conditions. The perception-action cycle involves data
collection of full virtual array, covariance reconstruction and joint design of
the transmit and receive arrays by antenna selection.The optimal transceiver
array design is realized by promoting two-dimensional group sparsity via
iteratively minimizing reweighted mixed L21-norm, with constraints imposed on
transceiver antenna spacing for proper transmit/receive isolation. Simulations
are provided to demonstrate the "perception-action" capability of the proposed
cognitive sparse MIMO array in achieving enhanced beamforming and anti-jamming
in dynamic target and interference environment.
