SPLGOct 20, 2022

How can a Radar Mask its Cognition?

arXiv:2210.11444v13 citationsh-index: 53
Originality Incremental advance
AI Analysis

This addresses a critical security issue in radar systems for defense applications by enabling electronic counter-countermeasures to protect against adversarial exploitation, representing a domain-specific advancement.

The paper tackles the problem of cognitive radars being vulnerable to adversaries who can estimate their utility functions and thus predict their sensing strategies, by proposing a method for the radar to hide its strategy through purposefully sub-optimal responses that spoof the adversary's detector, with theoretical guarantees on error probabilities and performance loss tolerance demonstrated in numerical examples.

A cognitive radar is a constrained utility maximizer that adapts its sensing mode in response to a changing environment. If an adversary can estimate the utility function of a cognitive radar, it can determine the radar's sensing strategy and mitigate the radar performance via electronic countermeasures (ECM). This paper discusses how a cognitive radar can {\em hide} its strategy from an adversary that detects cognition. The radar does so by transmitting purposefully designed sub-optimal responses to spoof the adversary's Neyman-Pearson detector. We provide theoretical guarantees by ensuring the Type-I error probability of the adversary's detector exceeds a pre-defined level for a specified tolerance on the radar's performance loss. We illustrate our cognition masking scheme via numerical examples involving waveform adaptation and beam allocation. We show that small purposeful deviations from the optimal strategy of the radar confuse the adversary by significant amounts, thereby masking the radar's cognition. Our approach uses novel ideas from revealed preference in microeconomics and adversarial inverse reinforcement learning. Our proposed algorithms provide a principled approach for system-level electronic counter-countermeasures (ECCM) to mask the radar's cognition, i.e., hide the radar's strategy from an adversary. We also provide performance bounds for our cognition masking scheme when the adversary has misspecified measurements of the radar's response.

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