Covert Anti-Jamming Communication Based on Gaussian Coded Modulation

• Main Authors: Haeung Choi, Sangjun Park, Heung-No Lee
• Format: Article
• Language: English
• Published: MDPI AG 2021-04-01
• Series: Applied Sciences
• Subjects: anti-jamming; covert communication; sparse signal recovery; sparse Bayesian learning (SBL); orthogonal frequency-division multiplexing (OFDM); spread spectrum
• Online Access: https://www.mdpi.com/2076-3417/11/9/3759

In several wireless communication systems, robustness against jammers and covertness against eavesdroppers are required simultaneously. In this paper, we propose a novel covert anti-jamming communication system. The properties of both anti-jamming and covertness are achieved through the Gaussian-coded time-frequency modulation scheme. We propose two receiver algorithms based on the sparse signal recovery framework. The receiver algorithms estimate and remove the jamming signal from the received signal. In addition, it is difficult to distinguish the proposed signal from the actual Gaussian noise in both the time and frequency domains. We compare the covertness of the proposed communication system with that of a conventional digital modulation system in terms of the probability of detection. We numerically evaluated the bit error rate of the proposed system to demonstrate its anti-jamming performance.