Design of Integrated Communication System under UAV Network

TL;DR

This paper proposes a novel integrated UAV communication system that combines sensing and communication, utilizing a waveform library and adaptive sensing algorithms to enhance scene adaptability and reduce information sharing overhead.

Contribution

It introduces a hybrid waveform design and an adaptive sensing algorithm based on compressed sensing for UAV networks, addressing scene adaptation and perception delay issues.

Findings

Reduced perceptual information sharing overhead

Improved passive sensing accuracy

Enhanced scene adaptability in UAV communication

Abstract

It is becoming a key feature of UAV communication network to integrate sensing function into communication equipment to realize sensing communication integration.The existing perceptual communication fusion schemes focus on the design under a single waveform and single frequency band, and lack of discussion on the adaptation of scene and algorithm complexity.The current perception mode of UAV focuses on radar active detection and perception, and there is a problem of time delay in perception information sharing.For this reason, this paper first proposes a waveform library idea based on perceptual information drive to achieve the best cost performance ratio of the communication scheme adopted by UAVs in different flight scenarios.Based on the hybrid waveform concept, this paper proposes a design scheme of active passive fusion synchronous sensing, and matches with an adaptive sensing algorithm based on compressed sensing.Through simulation, it is proved that the overhead caused by sharing perceptual information among UAVs can be reduced, And improve the passive side sensing accuracy.