无线电工程2026，Vol.56Issue(1)：1-12,12.DOI:10.3969/j.issn.1003-3106.2026.01.001
低轨卫星微弱信号检测技术与方法
Weak Signal Detection Technologies and Methods for Low Earth Orbit Satellites
摘要
Abstract
With the rapid development of integrated space-air-ground networks and 6G communications,Low Earth Orbit(LEO)satellites,leveraging their advantages of global coverage and low latency,have become a core support for ubiquitous communications.However,satellite-ground links often face challenges such as ultra-low Signal to Noise Ratio(SNR),strong Doppler frequency shift,and limited terminal resources,making weak signal detection a key bottleneck.The development of weak signal detection technologies is systematically reviewed,and a comparative analysis of the principles and applicability of traditional signal processing methods and Artificial Intelligence(AI)-driven technologies is conducted.Traditional methods offer high computational efficiency and ease of deployment,but lack the adaptability to high-dynamic and non-stationary noise.AI-driven technologies achieve feature self-learning,enhancing the detection accuracy in complex scenarios,while with higher requirements for annotated datasets and computing power.Key technologies such as signal enhancement,dataset construction and feature extraction,lightweight models,real-time optimization algorithm design,and hardware-software collaboration are discussed,core challenges are summarized,and the future detection paradigm integrating intelligent sensing and edge computing is prospected,providing references for algorithm optimization and engineering deployment of LEO satellite communication systems.关键词
低轨卫星通信/人工智能/微弱信号检测/信号处理Key words
LEO satellite communication/AI/weak signal detection/signal processing分类
信息技术与安全科学引用本文复制引用
韦毕胜,蒋瑞红,王帆,莫锦聪,孙奥林,彭木根..低轨卫星微弱信号检测技术与方法[J].无线电工程,2026,56(1):1-12,12.基金项目
国家自然科学基金(62301077)National Natural Science Foundation of China(62301077) （62301077）
