Heuristic energy management for active array multifunction radars

The projected use of active array multifunction radars is increasing significantly, paced by the rapid rise of GaAs integrated circuit technology, and the ability of this type of radar to economically perform a wide variety of functions which previously required separate systems. In the tactical arena, these functions range from surveillance and tracking to missile guidance, threat illumination, and kill assessment. The demands on waveform planning and energy management are heavy, however, and become even more so when the radar is used as a shared aperture, adding such functions as communications and navigation. The work described here represents research into waveform selection and energy management algorithms using an AI based weapons system simulation as a system testbed and analytical tool.<>