A Leakage-Based Directional Modulation Scheme for Frequency Diverse Array in Robot Swarm Networks

10Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Robot swarms, which constitute typical multi-user systems, have played more and more important roles in many areas. In this paper, a directional modulation (DM) scheme for frequency diverse array (FDA) based on the leakage power minimization criterion is proposed, which can be used in a robot swarm system as well as other multi-user scenarios. Based on this scheme, location-dependent secure transmission can be obtained in the multi-user downlink channels under certain circumstances, where independent data streams can be sent to different legitimate users safely. Meanwhile, the difficulty for perfect eavesdropping is significantly increased compared with phased-array-based DM. We also use the block successive upper-bound minimization algorithm to optimize the frequency offsets of the array, and the algorithm can be effectively performed. This scheme utilizes the baseband model of the FDA, which is another contribution of this paper. It solves the problems brought by the time-varying nature of the FDA and reveals the distance-angle correlation of the FDA more fundamentally. Based on that, besides the proposed FDA-DM scheme, a novel multiple access technique, named as link division multiple access, is also preliminarily proposed. It allows the transmitter to distinguish multiple users in the same or proximal locations without the help of time division, frequency division, or code division. At last, numerical results are presented to verify the superiorities of LDMA and the proposed FDA-DM scheme.

Cite

CITATION STYLE

APA

Ke, S., He, M., Bu, X., & Cai, W. (2020). A Leakage-Based Directional Modulation Scheme for Frequency Diverse Array in Robot Swarm Networks. IEEE Access, 8, 107823–107837. https://doi.org/10.1109/ACCESS.2020.2998938

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free