Time allocation in cognitive radar for multitarget detection with dynamic programming

The radar performs three main functions: search, tracing and weapon engagement. Each of functions occupies amount of time, energy and computation resource of the radar system. For cognitive radar, it should have the basic function which is learning. The radar needs to manage its resources dynamically and interactively between the setting of radar parameters to optimize the tasks to be carried out and perceive environment highlights the role in which knowledge and intelligence will be central in cognitive radar performance. The problem discussed here is the time allocation of cognitive radars in a multitarget environment. In this paper, we develop the optimization criterion based on the detection probabilities based on dynamic programming algorithm(DPA).