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Title: Secrecy rate optimizations for MIMO communication radar
Authors: Deligiannis, Anastasios
Daniyan, Abdullahi
Lambotharan, Sangarapillai
Chambers, Jonathon
Keywords: MIMO radar
Secrecy rate
Convex optimizations
Transmit beamformer design
Communications radar
Power allocation
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: DELIGIANNIS, A. ...et al, 2018. Secrecy rate optimizations for MIMO communication radar. IEEE Transactions on Aerospace and Electronic Systems, 54 (5), pp.2481 - 2492.
Abstract: 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.
Description: This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Sponsor: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant number EP/K014307/1 and the MOD University Defence Research Collaboration (UDRC) in Signal Processing.
Version: Published
DOI: 10.1109/TAES.2018.2820370
URI: https://dspace.lboro.ac.uk/2134/32731
Publisher Link: https://doi.org/10.1109/TAES.2018.2820370
ISSN: 0018-9251
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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