A Review of Multi-Base Station Collaborative Target Sensing Based on Integrated Sensing and Communication

Integrated sensing and communication (ISAC) technology for multi-base station collaborative target sensing has become a research hotspot due to its advantages in scenarios like the low-altitude economy and intelligent transgportation. This paper reviews the key technologies and applications of multi-base station ISAC collaborative sensing. First, the research background and significance are presented. It is pointed out that the development of the low-altitude economy imposes requirements of high precision, wide coverage, and real-time performance on wireless sensing technologies. Next, the domestic and international research status is analyzed, covering the development of single-base station ISAC technology, the system architecture of multi-base station collaborative sensing, and representative technologies. The existing technical challenges are also pointed out. Then, the models and basic theories of multi-base station ISAC systems are elaborated, including system architecture, physical models of target perception, and performance evaluation indicator systems. On this basis, technologies such as signal-level collaboration, data-level fusion, and symbol-level fusion strategy are discussed in detail. Finally, typical application scenarios and system implementation are analyzed, such as UAV tracking in the low-altitude economy and vehicle-infrastructure collaboration in intelligent transportation. The current technical challenges and future research directions are also summarized.

Authors

Institutions

Publication Details

Journal
Computer Simulation in Application
Published
2025-03-26
DOI
https://doi.org/10.18063/csa.v3i1.913
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

A Review of Multi-Base Station Collaborative Target Sensing Based on Integrated Sensing and Communication

Jianwei Zhao, Kai Cui, Bo Wei, Hui Chen et al.
Computer Simulation in Application
UAV Applications and Optimization
article

A Review of Multi-Base Station Collaborative Target Sensing Based on Integrated Sensing and Communication

Jianwei Zhao, Kai Cui, Bo Wei, Hui Chen, Mengyue Li
article en

Abstract

Integrated sensing and communication (ISAC) technology for multi-base station collaborative target sensing has become a research hotspot due to its advantages in scenarios like the low-altitude economy and intelligent transgportation. This paper reviews the key technologies and applications of multi-base station ISAC collaborative sensing. First, the research background and significance are presented. It is pointed out that the development of the low-altitude economy imposes requirements of high precision, wide coverage, and real-time performance on wireless sensing technologies. Next, the domestic and international research status is analyzed, covering the development of single-base station ISAC technology, the system architecture of multi-base station collaborative sensing, and representative technologies. The existing technical challenges are also pointed out. Then, the models and basic theories of multi-base station ISAC systems are elaborated, including system architecture, physical models of target perception, and performance evaluation indicator systems. On this basis, technologies such as signal-level collaboration, data-level fusion, and symbol-level fusion strategy are discussed in detail. Finally, typical application scenarios and system implementation are analyzed, such as UAV tracking in the low-altitude economy and vehicle-infrastructure collaboration in intelligent transportation. The current technical challenges and future research directions are also summarized.

Computer Simulation in ApplicationVol. 3(1)
PLA Rocket Force University of Engineering (CN), Shenzhen Academy of Aerospace Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 71%
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.

A Review of Multi-Base Station Collaborative Target Sensing Based on Integrated Sensing and Communication — Jianwei Zhao, Kai Cui, et al. · Computer Simulation in Application (2025) | TGRS Research Map | TGRS