Hybrid optimization method for cognitive and MIMO radar code design

Cognitive and MIMO radars need to adapt the transmitted waveforms based on the radar task as well as the propagation and the target environments. Many waveform optimization methods proposed in the literature for optimizing the sidelobe and cross-correlation levels are based on stochastic search algorithms or slow numerical approximation methods. However, for real-time applications, it is necessary to perform the optimization fast since the radar channels and target parameters may vary rapidly. For this purpose, we propose a hybrid optimization approaches based on gradient and randomization for fast optimization of the transmit waveform codes.