Security state estimation based on signal reconstruction for multi‐vehicle systems under malicious attack

Author:

Wang Jing1ORCID,Wang Siyuan1,Lu Shan2,Zhou Meng1

Affiliation:

1. School of Electrical and Control Engineering North China University of Technology Beijing China

2. Institute of Intelligence Science and Engineering Shenzhen Polytechnic Shenzhen China

Abstract

AbstractAiming at the reconnaissance task of unmanned vehicle formation under the malicious attack, a security state estimation method based on attack signal reconstruction is proposed. First the reconstruction of attack signal is transformed into a sparse error correction problem by stacking the measurement information of adjacent vehicles, and is solved by orthogonal matching pursuit (OMP) algorithm. Then the attack compensation based particle filter is designed to estimate the target state for each vehicle. An information fusion strategy is designed to obtain the final reconnaissance result based on agent centrality and the number of attacks on unmanned vehicles. Finally, simulations are provided to illustrate the effectiveness of the proposed method.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

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