  We consider code optimization and angle-Doppler imaging for slow-time code
division multiplexing (ST-CDM) linear frequency-modulated continuous-wave
(LFMCW) multiple-input multiple-output (MIMO) radar systems. We optimize the
slow-time code via the minimization of a Cram{\'e}r-Rao Bound (CRB)-based
metric to enhance the parameter estimation performance. Then, a computationally
efficient RELAX-based algorithm is presented to obtain the maximum likelihood
(ML) estimates of the target angle-Doppler parameters. Numerical examples show
that the proposed approaches can be used to improve the performance of
parameter estimation and angle-Doppler imaging of ST-CDM LFMCW MIMO radar
systems.
