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In this paper, we consider a challenging secure wireless sensing scenariowhere a legitimate radar station (LRS) intends to detect a target at unknownlocation in the presence of an unauthorized radar station (URS). We aim toenhance the sensing performance of the LRS and in the meanwhile prevent thedetection of the same target by the URS. Under this setup, conventionalstealth-based approaches such as wrapping the target with electromagnetic waveabsorbing materials are not applicable, since they will disable the targetdetection by not only the URS, but the LRS as well. To tackle this challenge,we propose in this paper a new target-mounted IRS approach, where intelligentreflecting surface (IRS) is mounted on the outer/echo surface of the target andby tuning the IRS reflection, the strength of its reflected radar signal in anyangle of departure (AoD) can be adjusted based on the signal's angle of arrival(AoA), thereby enhancing/suppressing the signal power towards the LRS/URS,respectively. To this end, we propose a practical protocol for thetarget-mounted IRS to estimate the LRS/URS channel and waveform parametersbased on its sensed signals and control the IRS reflection for/against theLRS/URS accordingly. Specifically, we formulate new optimization problems todesign the reflecting phase shifts at IRS for maximizing the received signalpower at the LRS while keeping that at the URS below a certain level, for boththe cases of short-term and long-term IRS operations with different dynamicreflection capabilities. To solve these non-convex problems, we apply thepenalty dual decomposition method to obtain high-quality suboptimal solutionsfor them efficiently. Finally, simulation results are presented that verify theeffectiveness of the proposed protocol and algorithms for the target-mountedIRS to achieve secure wireless sensing, as compared with various benchmarkschemes.

Target-Mounted Intelligent Reflecting Surface for Secure Wireless Sensing