Robust waveform design of wideband cognitive radar for extended target detection

Abstract

This paper investigates the waveform design problem of wideband cognitive radar for the detection of extended targets in which the knowledge of target impulse response and interference is imprecise. We resort to a maximin approach to design the waveform that is robust to the model uncertainties, i.e., we optimize the waveform to maximize the worst-case signal to interference plus noise ratio (SINR) over the uncertainty region. We show that the maximin waveform design problem can be formulated into a convex optimization problem. Results indicating the robustness of the proposed method are provided via numerical simulations.