  In this paper, we investigate the problem of jointly optimizing the waveform
covariance matrix and the antenna position vector for
multiple-input-multiple-output (MIMO) radar systems to approximate a desired
transmit beampattern as well as to minimize the cross-correlation of the
received signals reflected back from the targets. We formulate the problem as a
non-convex program and then propose a cyclic optimization approach to
efficiently tackle the problem. We further propose a novel local optimization
framework in order to efficiently design the corresponding antenna positions.
Our numerical investigations demonstrate a good performance both in terms of
accuracy and computational complexity, making the proposed framework a good
candidate for real-time radar signal processing applications.
