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Secrecy Rate Optimizations for MIMO Communication Radar

Lookup NU author(s): Professor Jonathon Chambers


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OAPA In this paper, we investigate transmit beampattern optimization techniques for a multiple-input multiple-output (MIMO) radar in the presence of a legitimate communications receiver and an eavesdropping target. The primary objectives of the radar are to satisfy a certain target detection criterion and to simultaneously communicate safely with a legitimate receiver by maximizing the secrecy rate against the eavesdropping target. Therefore, we consider three optimization problems, namely, target return signal to interference plus noise ratio (SINR) maximization, secrecy rate maximization and transmit power minimization. However, these problems are non-convex due to the non-concavity of the secrecy rate function, which appears in all three optimizations either as the objective function or as a constraint. To solve this issue, we use Taylor series approximation of the non-convex elements through an iterative algorithm, which recasts the problem as a convex problem. Two transmit covariance matrices are designed to detect the target and convey the information safely to the communication receiver. Simulation results are presented to validate the efficiency of the aforementioned optimizations.

Publication metadata

Author(s): Deligiannis A, Daniyan A, Lambotharan S, Chambers JA

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Aerospace and Electronic Systems

Year: 2018

Volume: 54

Issue: 5

Pages: 2481-2492

Print publication date: 01/10/2018

Online publication date: 28/03/2018

Acceptance date: 26/02/2018

ISSN (print): 0018-9251

ISSN (electronic): 1557-9603

Publisher: IEEE


DOI: 10.1109/TAES.2018.2820370


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