Abstract

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.

Highlights

  • Wireless communication systems (WCSs) have become an essential part of the infrastructure for exchanging information

  • We propose a novel covert anti-jamming communication system based on aInnotishei-slipkeapGearu, swsieanp-rcoopdeodsetiamneo-fvreeqluceonvceyrtmaondtui-ljaatmiomn,iansgilcluosmtrmateudniincaFtiigounresy2s.tTeom based opnroavnidoeisceo-vleikrtenGesasutossaiacnom-cmoduendictaitmioen-sfrigenqaule, nwceypmroopdosuelaattiiomne, -afrseiqluluesntcryatmedodiunlaFtiigounre 2

  • To estimate and remove jamming, we propose two novel sparse jamming estimation (SJE) algorithms, i.e., greedy SJE (GSJE) and Bayesian SJE (BSJE), which are described as Algorithm 1 and Algorithm 2, respectively

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Summary

Introduction

Wireless communication systems (WCSs) have become an essential part of the infrastructure for exchanging information. The physical location of wireless transmitters can be detected by an eavesdropper, owing to the wireless transmission of signals. A follower jammer [4] is an example of such cooperation It first measures the time-frequency band of the target signal and concentrates its jamming energy onto that band. A spread spectrum (SS) scheme is one common solution for overcoming jamming attacks in the physical layer Through this scheme, the bandwidth of band-limited jamming becomes much smaller than that of the communication signals. The proposed system transmits information messages on a coded Gaussian signal through a wireless channel that is attacked by an eavesdropper, called Eve in this paper, and a jammer.

Signal Design
Codeword Generation
Gaussian Codebook
System Model
Time-Frequency Modulation
Sparse Jamming Model
Sparse Jamming Estimation
Greedy Sparse Jamming Estimation Algorithm
Decoding
Undetectability Analysis
Undetectability under an Unknown Noise Level
Undetectability under an Exact Noise Level
Undetectability under an Uncertain Noise Level
Computational Complexity and Power Consumption
Results
Sparse Jamming Estimation Error
Bit Error Rate under Jamming
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