Affiliation:
1. School 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.
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Jiangsu Province Natural Science Foundation
Natural Science Foundation of the Jiangsu Higher Education Institutions of China
The Startup Foundation for Introducing Talent of NUIST
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry