Design and Performance Analysis of Wireless Legitimate Surveillance Systems with Radar Function
Mianyi Zhang, Yinghui He, Yunlong Cai, Guanding Yu, Naofal Al-Dhahir

TL;DR
This paper proposes a joint beamforming optimization method for a wireless surveillance system with radar capabilities, enhancing eavesdropping success while satisfying radar and security requirements, validated through extensive simulations.
Contribution
It introduces a novel joint beamforming optimization framework for wireless surveillance with radar, solving complex subproblems with closed-form solutions and demonstrating improved eavesdropping success.
Findings
Optimized beamforming improves eavesdropping success probability.
Closed-form solutions for beamforming vectors are derived.
Simulation results confirm the effectiveness of the proposed method.
Abstract
Integrated sensing and communication (ISAC) has recently been considered as a promising approach to save spectrum resources and reduce hardware cost. Meanwhile, as information security becomes increasingly more critical issue, government agencies urgently need to legitimately monitor suspicious communications via proactive eavesdropping. Thus, in this paper, we investigate a wireless legitimate surveillance system with radar function. We seek to jointly optimize the receive and transmit beamforming vectors to maximize the eavesdropping success probability which is transformed into the difference of signal-to-interference-plus-noise ratios (SINRs) subject to the performance requirements of radar and surveillance. The formulated problem is challenging to solve. By employing the Rayleigh quotient and fully exploiting the structure of the problem, we apply the divide-and-conquer principle…
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Taxonomy
TopicsRadar Systems and Signal Processing · Wireless Communication Security Techniques
