| 注册
首页|期刊导航|数据采集与处理|低空具身智能频谱管控技术研究

低空具身智能频谱管控技术研究

金立民 王海超 谷江春 徐以涛 丁国如

数据采集与处理2025,Vol.40Issue(1):45-55,11.
数据采集与处理2025,Vol.40Issue(1):45-55,11.DOI:10.16337/j.1004-9037.2025.01.004

低空具身智能频谱管控技术研究

Research on Low-Altitude Embodied Artificial Intelligence-Enabled Spectrum Man-agement and Control Technology

金立民 1王海超 1谷江春 1徐以涛 1丁国如1

作者信息

  • 1. 陆军工程大学通信工程学院,南京 210007
  • 折叠

摘要

Abstract

The low-altitude intelligent network(LAIN)serves as a fundamental infrastructure for the development of the low-altitude economy,and spectrum management and control(SMC)is one of the key technologies to address the problems of illegal spectrum use and malicious attacks in LAIN,as well as to improve the utilization rate of spectrum resources.Embodied artificial intelligence(EAI),as a key research direction in the new generation of artificial intelligence,offers new possibilities for the development of SMC for LAIN due to its characteristics of physical embodiment,environmental interaction,and intelligent growth.Firstly,this paper introduces the requirements of SMC for LAIN from the aspects of technical framework,research status,and main challenges.Secondly,by sorting out the connotation and advantages of EAI,the concept and significance of EAI-enabled SMC for LAIN are analyzed.Furthermore,based on the closed-loop structure of"perception-decision-action-feedback",a technology of SMC for LAIN is proposed,which includes low-altitude embodied spectrum sensing,inferring and decision-making,and action and feedback.This provides a possible technical pathway for achieving efficient and secure SMC for LAIN.

关键词

低空经济/低空智联网/频谱资源/频谱管控/具身智能

Key words

low-altitude economy/low-altitude intelligent network(LAIN)/spectrum resource/spectrum management and control(SMC)/embodied artificial intelligence(EAI)

分类

信息技术与安全科学

引用本文复制引用

金立民,王海超,谷江春,徐以涛,丁国如..低空具身智能频谱管控技术研究[J].数据采集与处理,2025,40(1):45-55,11.

基金项目

江苏省重点研发计划(产业前瞻与关键技术)(BE2023022,BE2023022-4) (产业前瞻与关键技术)

国家自然科学基金(62231027,62271501,62301604) (62231027,62271501,62301604)

江苏省优秀青年基金(BK20240200). (BK20240200)

数据采集与处理

OA北大核心

1004-9037

访问量0
|
下载量0
段落导航相关论文