摘要
针对天基海洋遥感卫星空间分辨率不足,且严重依赖稀疏、高成本地面真值数据进行校准的难点,提出一种基于智能手机声学信道状态信息(CSI)的盐度检测使能技术。该方法利用声波在液体中的传播特性,通过设计正交频分复用(OFDM)信号,使用前沿人工智能算法提取并分析液体声学CSI幅值与相位特征,从而进行非接触式盐度测量。分析了构建高密度、低成本近岸盐度地面真值网络的可行性,并开展了不同盐度、不同环境下的实验验证。实验室场景分析表明:在盐度差异为5‰的8种不同盐度液体检测中,该方法展现出良好的区分能力。该盐度检测方法与智能手机的广泛普及性相结合,能够通过众包模式构建“毛细血管级”地面观测网络,为海洋盐度卫星提供海量、实时的校准与验证支持,为缓解当前“天基有余,地基不足”瓶颈提供了潜在的技术路径,可满足“天地协同”海洋盐度遥感体系的闭环需求。
Addressing the limitation of insufficient spatial resolution in space-based ocean remote sensing satellites and their heavy reliance on sparse and high-cost in-situ ground truth data for calibration,this paper proposes a smartphoneenabled salinity detection technique based on acoustic channel state information(CSI).The method leverages the propagation characteristics of acoustic waves in liquids.With proper designedorthogonal frequency division multiplexing(OFDM)signals,both the amplitude and phase features of the acoustic CSI are extracted and analyzed,enabling noncontact salinity measurement.The feasibility of constructing a high-density and low-cost nearshore salinity ground truth network is analyzed,and experimental validation under various salinity levels and environmental conditions is conducted.The analysis based on laboratory scenarios demonstrates that the method achieves excellent separation for eight distinct salinity levels with intervals of 5‰.By leveraging the widespread prevalence of smartphones,this salinity detection approach can potentially establish a‘capillary-level’ground observation network through a crowdsourcing model.This network could provide massivereal-time calibration and validation support for ocean salinity satellites,offering a potential technical pathway to alleviate the current bottleneck of‘sufficient space-borne capacity but inadequate ground-based data’and meet the closed-loop requirements of a‘space-ground collaborative’ocean salinity remote sensing system.
作者
董润扬
刘海峰
薛广涛
陈潜
杨岚青
马融
DONG Runyang;LIU Haifeng;XUE Guangtao;CHEN Qian;YANG Lanqing;MA Rong(School of Computer Science,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Byd Co.,Ltd.,Shanghai 201611,China;Shanghai Radio Equipment Research Institute,Shanghai 201109,China)
出处
《上海航天(中英文)》
2026年第1期42-53,62,共13页
Aerospace Shanghai(Chinese&English)
基金
上海市“科技创新行动计划”自然科学基金面上资助项目(24ZR1439100)。
关键词
海洋遥感
盐度检测
信道状态信息(CSI)
智能手机传感
地面真值
天地协同
众包监测
ocean remote sensing
salinity detection
channel state information(CSI)
smartphone sensing
ground truth
space-ground collaboration
crowdsourced monitoring
