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Secrecy Rate Optimizations for MIMO Communication Radar

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journal contribution
posted on 20.08.2019, 11:29 by Anastasios Deligiannis, Abdullahi Daniyan, Sangarapillai Lambotharan, Jonathon A. Chambers
In this paper, we investigate transmit beampattern optimization techniques for a multiple-input multiple-output 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 maximization, secrecy rate maximization, and transmit power minimization. However, these problems are nonconvex due to the nonconcavity 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 nonconvex 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.

Funding

This work was supported in part by the Engineering and Physical Sciences Research Council under Grant EP/K014307/1 and in part by the MOD University Defence Research Collaboration in Signal Processing.

History

Citation

IEEE Transactions on Aerospace and Electronic Systems, 2018, 54 (5), pp. 2481-2492

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Version

VoR (Version of Record)

Published in

IEEE Transactions on Aerospace and Electronic Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE) for Aerospace and Electronic Systems Society

issn

0018-9251

eissn

1557-9603

Acceptance date

26/02/2018

Copyright date

2018

Available date

20/08/2019

Publisher version

https://ieeexplore.ieee.org/document/8327462

Language

en

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