Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference

This article considers three interrelated adversarial inference problems involving cognitive radars. We first discuss inverse tracking of the radar to estimate adversary's us based on radar's actions and calibrate sensing accuracy. Second, using revealed preference from microeconomics, we formulate a nonparametric test identify if is constrained utility maximizer with signal processing constraints. consider two functionalities, namely, beam allocation waveform design, respect which assumed maximize its construct set-valued estimator for function. Finally, how engineer interference at physical layer level confuse that forces it change transmit waveform. The levels abstraction range smart design Wiener filters (at pulse/waveform level), Kalman level, preferences identifying maximization systems level.