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Optimization of Covert Communication in Multi-Sensor Asymmetric Noise Systems
Sen Qiao1, Ruizhi Zhu1, Xiaopeng Ji1
1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Abstract:
This work investigates wireless covert communication in a multi-sensor asymmetric noise scenario. We adopt KL (Kullback-Leibler) divergence as the covertness constraint metric and mutual information as the transmission rate metric. To accurately approximate KL divergence and mutual information in covert communication, we employ the Taylor series expansion technique. Analytical expressions for KL divergence and mutual information in covert communication are derived, and we optimize the amplitude gain and phase angles based on these analytical expressions. Our findings underscore the importance of phase angle selection in covert communication within asymmetric noise systems. We propose an effective method for optimizing the transmission amplitude gain and phase angles in scenarios with asymmetric noise. Numerical results validate the effectiveness and superiority of our proposed method.
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