Multi-Target Sensing with Interference Analysis for the Multi-UAV-Enabled ISAC Network

Integrated sensing and communication (ISAC) is recognized as a key technology in the multi-UAV-enabled 6G network. In this paper, we propose a simultaneous sensing and communication method for the multi-UAV network with multiple users and targets. Firstly, we investigate the ISAC channel model for the multiple users and targets, which can be determined by the physical parameters between the UAVs and the users or the targets. Then, we design the ISAC signal for the multi-UAV-enabled network and analyze the interference of the downlink signal for the multi-users and the echo signal for the multi-targets, respectively. On this basis, we further propose a multi-target sensing method with multi-UAV cooperation, where angle division multiple access (ADMA) is exploited to decrease the effect of the multi-user and multi-target interference. Finally, various simulation results are provided to verify the effectiveness of the proposed method.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2025-10-11
DOI
https://doi.org/10.3390/electronics14203984
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Target Sensing with Interference Analysis for the Multi-UAV-Enabled ISAC Network

Haojie Hu, Jianwei Zhao, Fenggan Zhang, Wei Jin et al.
Electronics
UAV Applications and Optimization
article

Multi-Target Sensing with Interference Analysis for the Multi-UAV-Enabled ISAC Network

Haojie Hu, Jianwei Zhao, Fenggan Zhang, Wei Jin, Kai Cui, Fang He, Weimin Jia
article en

Abstract

Integrated sensing and communication (ISAC) is recognized as a key technology in the multi-UAV-enabled 6G network. In this paper, we propose a simultaneous sensing and communication method for the multi-UAV network with multiple users and targets. Firstly, we investigate the ISAC channel model for the multiple users and targets, which can be determined by the physical parameters between the UAVs and the users or the targets. Then, we design the ISAC signal for the multi-UAV-enabled network and analyze the interference of the downlink signal for the multi-users and the echo signal for the multi-targets, respectively. On this basis, we further propose a multi-target sensing method with multi-UAV cooperation, where angle division multiple access (ADMA) is exploited to decrease the effect of the multi-user and multi-target interference. Finally, various simulation results are provided to verify the effectiveness of the proposed method.

ElectronicsVol. 14(20)
PLA Rocket Force University of Engineering (CN)
Openalex Percentile: Top 61%
UAV Applications and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.