How can a Cognitive Radar Mask its Cognition?
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Abstract (arXiv)
We study how a cognitive radar can mask (hide) its cognitive ability from an adversarial jamming device. Specifically, if the radar optimally adapts its waveform based on adversarial target maneuvers (probes), how should the radar choose its waveform parameters (response) so that its utility function cannot be recovered by the adversary. This paper abstracts the radar's cognition masking problem in terms of the spectra (eigenvalues) of the state and observation noise covariance matrices, and embeds the algebraic Riccati equation into an economics-based utility maximization setup. Given an observed sequence of radar responses, the adversary tests for utility maximization behavior of the radar and estimates its utility function that rationalizes the radar's responses. In turn, the radar deliberately chooses sub-optimal responses so that its utility function almost fails the utility maximization test, and hence, its cognitive ability is masked from the adversary. We illustrate the performance of our cognition masking scheme via simple numerical examples. Our approach in this paper is based on revealed preference theory in microeconomics for identifying rationality.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Oct 2021.
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Citing papers per year: 2022: 4.
4 papers.
- 2022Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radarscited by 6
- 2022Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learnercited by 3
- 2022How can a Radar Mask its Cognition?cited by 1
- 2022Adaptive ECCM for Mitigating Smart Jammerscited by 1
- 2022Adaptive ECCM for Mitigating Smart Jammers5 Dec 2022
- 2022How can a Radar Mask its Cognition?20 Oct 2022
- 2022Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner22 May 2022
- 2022Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars3 May 2022