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Adversarial Radar Inference Inverse Tracking Identifying Cognition and Designing Smart Interference

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Document pages: 13 pages

Abstract: This paper considers three inter-related adversarial inference problemsinvolving cognitive radars. We first discuss inverse tracking of the radar toestimate the adversary s estimate of us based on the radar s actions andcalibrate the radar s sensing accuracy. Second, using revealed preference frommicroeconomics, we formulate a non-parametric test to identify if the cognitiveradar is a constrained utility maximizer with signal processing constraints. Weconsider two radar functionalities, namely, beam allocation and waveformdesign, with respect to which the cognitive radar is assumed to maximize itsutility and construct a set-valued estimator for the radar s utility function.Finally, we discuss how to engineer interference at the physical layer level toconfuse the radar which forces it to change its transmit waveform. The levelsof abstraction range from smart interference design based on Wiener filters (atthe pulse waveform level), inverse Kalman filters at the tracking level andrevealed preferences for identifying utility maximization at the systems level.

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