Optimal sensor placement for Doppler shift target localization

A key component of cognitive radar is intelligent signal processing which encompasses an algorithmic decision-making process for adaptive transmitted waveform selection and online optimal path planning for moving radar platforms in order to deal with non-stationary and uncertain surrounding environments. This paper focuses on optimal radar trajectories in the cognitive radar context. In particular, the optimal sensor placement problem for stationary target localization by multiple moving Doppler-shift radars is considered. A solution based on maximizing the determinant of the Fisher information matrix is proposed and analyzed. The analytical findings of the paper are demonstrated by way of extensive simulations incorporating unmanned aerial vehicles equipped with Doppler radar in a number of different scenarios.