Secure Radar-Communication Systems With Malicious Targets: Integrating Radar, Communications and Jamming Functionalities

This article studies the physical layer security in a multiple-input-multiple-output (MIMO) dual-functional radar-communication (DFRC) system, which communicates with downlink cellular users and tracks radar targets simultaneously. Here, the radar targets are considered as potential eavesdroppers wh...

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Veröffentlicht in:IEEE transactions on wireless communications Jg. 20; H. 1; S. 83 - 95
Hauptverfasser: Su, Nanchi, Liu, Fan, Masouros, Christos
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Array signal processing
artificial noise
channel state information
Communication
Communications systems
Dual-functional radar-communication system
Eavesdropping
Jamming
MIMO (control systems)
MIMO communication
Noise
Optimization
Physical layer
Radar
Radar targets
Robustness (mathematics)
secrecy rate
Signal to noise ratio
Tracking
Uncertainty
User requirements
ISSN:1536-1276, 1558-2248
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Zusammenfassung:This article studies the physical layer security in a multiple-input-multiple-output (MIMO) dual-functional radar-communication (DFRC) system, which communicates with downlink cellular users and tracks radar targets simultaneously. Here, the radar targets are considered as potential eavesdroppers which might eavesdrop the information from the communication transmitter to legitimate users. To ensure the transmission secrecy, we employ artificial noise (AN) at the transmitter and formulate optimization problems by minimizing the signal-to-noise ratio (SNR) received at radar targets, while guaranteeing the signal-to-interference-plus-noise ratio (SINR) requirement at legitimate users. We first consider the ideal case where both the target angle and the channel state information (CSI) are precisely known. The scenario is further extended to more general cases with target location uncertainty and CSI errors, where we propose robust optimization approaches to guarantee the worst-case performance. Accordingly, the computational complexity is analyzed for each proposed method. Our numerical results show the feasibility of the algorithms with the existence of instantaneous and statistical CSI error. In addition, the secrecy rate of secure DFRC system grows with the increasing angular interval of location uncertainty.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.3023164