IEEE Journal on Miniaturization for Air and Space Systems最新文献

The Journal of Miniaturized Air and Space Systems 小型化航空航天系统杂志

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-08-22 DOI: 10.1109/JMASS.2025.3594863

引用次数: 0

Disordered Broadband Dielectric Metamaterial Absorbers for Aerospace Applications 航空航天应用的无序宽带介电超材料吸收体

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-06-25 DOI: 10.1109/JMASS.2025.3583078

Ju Gao;Zonghui Li;Zhangziyi Jin;Qingwang Wang

{"title":"Disordered Broadband Dielectric Metamaterial Absorbers for Aerospace Applications","authors":"Ju Gao;Zonghui Li;Zhangziyi Jin;Qingwang Wang","doi":"10.1109/JMASS.2025.3583078","DOIUrl":"https://doi.org/10.1109/JMASS.2025.3583078","url":null,"abstract":"Cloaking technology plays a critical role in modern aerospace and defense systems, where reducing the radar cross section (RCS) is essential for achieving invisibility in complex electromagnetic environments. To fulfill the requirements for lightweight and compact designs, high-performance absorbers capable of achieving broadband RCS reduction are indispensable. However, conventional periodic dielectric metamaterial absorbers, despite their lightweight advantages, are inherently constrained by narrow absorption bandwidths, limiting their effectiveness across broad frequency ranges. This study investigates the influence of disorder factors, including permittivity, size, and position, on wave absorption performance in comparison to periodic structures. An innovative design for dielectric metamaterial absorbers employing disordered structures is presented, effectively addressing bandwidth limitations while achieving polarization independence, angular insensitivity, and enhanced broadband absorption. The lightweight and low-profile configuration of the absorber makes it particularly suitable for aerospace applications, offering an advanced solution for cloaking technology and system miniaturization in modern defense systems.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 3","pages":"338-346"},"PeriodicalIF":2.1,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-Power Modular UAV Data Acquisition and Transmission System Based on Advanced Compression and 4G Communication 基于先进压缩和4G通信的低功耗模块化无人机数据采集与传输系统

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-06-25 DOI: 10.1109/JMASS.2025.3583008

Ju Gao;Zijun Wang;Zhangziyi Jin;Zonghui Li;Qingwang Wang

{"title":"Low-Power Modular UAV Data Acquisition and Transmission System Based on Advanced Compression and 4G Communication","authors":"Ju Gao;Zijun Wang;Zhangziyi Jin;Zonghui Li;Qingwang Wang","doi":"10.1109/JMASS.2025.3583008","DOIUrl":"https://doi.org/10.1109/JMASS.2025.3583008","url":null,"abstract":"Audio extraction systems have important applications in the field of uncrewed aerial vehicles (UAVs), especially in the areas of disaster emergency response, environmental monitoring and precision agriculture. However, the large size and high power consumption of existing systems limit their widespread use. In this study, a UAV information acquisition and transmission method based on low-power sensing and 4G remote transmission technology is proposed, aiming to achieve efficient processing and transmission of audio data while meeting the requirements of miniaturization and low power consumption. The system adopts a modular design and achieves low power consumption and efficient data transmission by optimizing the collaborative work between the front-end hardware and the back-end cloud platform. Experimental results show that the system exhibits high stability and significant low power consumption in complex environments (the lowest power consumption is 0.1 mW), while the transmission efficiency is significantly improved over traditional methods (the average rate reaches 4.5 Mb/s). This study provides reliable technical support for the application of UAVs in complex missions.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 3","pages":"329-337"},"PeriodicalIF":2.1,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of Decorrelation and Deformation Monitoring Accuracy in Geosynchronous SAR Interferometry 地球同步SAR干涉测量中去相关与变形监测精度评价

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-06-19 DOI: 10.1109/JMASS.2025.3581353

Wei He;Qingjun Zhang;Zhibin Wang;Changjun Zhao

{"title":"Assessment of Decorrelation and Deformation Monitoring Accuracy in Geosynchronous SAR Interferometry","authors":"Wei He;Qingjun Zhang;Zhibin Wang;Changjun Zhao","doi":"10.1109/JMASS.2025.3581353","DOIUrl":"https://doi.org/10.1109/JMASS.2025.3581353","url":null,"abstract":"Interferometric synthetic aperture radar (InSAR) has emerged as a powerful tool for surface deformation monitoring. Conventional low Earth orbit (LEO) SAR systems are constrained by narrow swath widths and long revisit intervals, limiting their applicability in large-scale and rapid-response scenarios. Although satellite constellations partially address these issues, they introduce increased system complexity and operational costs. In contrast, geosynchronous SAR (GeoSAR) offers significantly shorter revisit intervals, on the order of hours rather than days, and much wider swath coverage, expanding from the hundred-kilometer scale of LEO SAR to the thousand-kilometer scale. These advantages make GeoSAR a promising solution to the limitations of LEO SAR systems. However, its decorrelation characteristics and deformation monitoring performance remain insufficiently understood. This study provides a quantitative analysis of key decorrelation sources, including thermal, spatial, temporal, Doppler centroid, and processing-induced decorrelation, and further evaluates the deformation measurement accuracy of GeoSAR using differential interferometric SAR, persistent scatterer interferometry, and the small baseline subset technique. Results indicate that GeoSAR is less susceptible to spatial decorrelation, and that, given a fixed number of acquisitions and invariant decorrelation conditions, longer revisit intervals can significantly enhance the accuracy of deformation measurements. These findings provide valuable insights into the potential of GeoSAR for surface deformation monitoring.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 3","pages":"321-328"},"PeriodicalIF":2.1,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Guest Editorial Network Intelligence for Uncrewed Aerial Vehicles 无人驾驶飞行器网络情报

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-06-02 DOI: 10.1109/JMASS.2025.3567191

Zan Li;Katsuya Suto;Ling Lyu;Conghao Zhou;Nan Cheng;Wei Zhang

引用次数: 0

Intelligent Spatiotemporal Freshness Framework for Multi-UAV Target Detection and Tracking 面向多无人机目标检测与跟踪的智能时空新鲜度框架

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-04-30 DOI: 10.1109/JMASS.2025.3565996

Ananya Hazarika;Mehdi Rahmati

{"title":"Intelligent Spatiotemporal Freshness Framework for Multi-UAV Target Detection and Tracking","authors":"Ananya Hazarika;Mehdi Rahmati","doi":"10.1109/JMASS.2025.3565996","DOIUrl":"https://doi.org/10.1109/JMASS.2025.3565996","url":null,"abstract":"In the rapidly evolving field of uncrewed aerial vehicles (UAVs), these miniaturized platforms are increasingly being designed for intelligent aerial data acquisition, enabling dynamic target detection and tracking to facilitate the deployment of new use cases. This article presents a novel integrated sensing and communications framework for UAV networks to enhance latency, reliability, and resource allocation efficiency. A novel multidimensional freshness metric, the age of valid sensing (AVS), is introduced as a measure of actionable intelligence to quantify and prioritize the sensing data, accurately capturing the quality and relevance of information in dynamic environments, leading to improved UAV coordination and efficient resource allocation. The effectiveness of AVS is strengthened by the presence of Frechet distance, which performs the behavioral analysis of moving targets to enable spatiotemporal clustering based on their trajectory similarity for efficient sensing. Intelligence is being added to each UAV through a robust multiagent reinforcement learning (MARL) framework to regularly update their target sensing and communications information, dynamically balancing data freshness and the likelihood of successful information gathering. This approach allows for the efficient integration and processing of sensing data from multiple geographically dispersed targets, significantly improving real-time tracking and decision-making capabilities in complex environments. Our simulation results demonstrate the superior performance of the proposed framework in achieving lower latency, higher detection accuracy, and improved resource efficiency compared to existing methods.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 3","pages":"294-304"},"PeriodicalIF":2.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DP-Net: A U-Shaped Multidimensional Multiscale Fusion Neural Network for InSAR Phase Filtering DP-Net：一种用于InSAR相位滤波的u型多维多尺度融合神经网络

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-04-17 DOI: 10.1109/JMASS.2025.3561785

Jinfeng Lin;Xiaomao Chen;Xiaofeng Qin;Shanshan Zhang

{"title":"DP-Net: A U-Shaped Multidimensional Multiscale Fusion Neural Network for InSAR Phase Filtering","authors":"Jinfeng Lin;Xiaomao Chen;Xiaofeng Qin;Shanshan Zhang","doi":"10.1109/JMASS.2025.3561785","DOIUrl":"https://doi.org/10.1109/JMASS.2025.3561785","url":null,"abstract":"Synthetic aperture radar interferometry (InSAR) is an essential tool for observing the Earth’s surface, widely employed in geohazard and ground subsidence monitoring. Enhancing interferogram quality through phase filtering is particularly significant. Traditional filtering methods are often ineffective, while emerging deep learning approaches still face challenges in noise removal and stripe edge preservation. This article proposes a novel InSAR phase filtering method, the dilated phase network (DP-Net), based on a U-shaped multidimensional and multiscale fusion neural network. The proposed method employs a U-shaped network architecture to achieve effective fusion and fine processing of interferogram features across multiple dimensions. By incorporating a Dilated module with embedded cavity convolution, the network enhances its capability to capture features at various scales. Furthermore, the method integrates features at different levels during the encoding-decoding process, enabling effective noise reduction while preserving interferogram details and improving filtering quality. Additionally, a simulated dataset is generated and trained using digital elevation model (DEM) inversion with hierarchical noise addition. The efficacy of the method is validated through filtering experiments on both simulated and real data.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 3","pages":"286-293"},"PeriodicalIF":2.1,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Journal of Miniaturized Air and Space Systems 小型化航空航天系统杂志

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-03-30 DOI: 10.1109/JMASS.2025.3571345

引用次数: 0

InSAR Joint Modeling and Deformation Estimation for Highway Network in Soft Soil Areas 软土地区公路网InSAR节点建模与变形估计

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-03-25 DOI: 10.1109/JMASS.2025.3554688

Jingjian Long;Xuemin Xing;Guanfeng Zheng;Liang Wang;Xiangjun Yao;Xiongwei Yang

{"title":"InSAR Joint Modeling and Deformation Estimation for Highway Network in Soft Soil Areas","authors":"Jingjian Long;Xuemin Xing;Guanfeng Zheng;Liang Wang;Xiangjun Yao;Xiongwei Yang","doi":"10.1109/JMASS.2025.3554688","DOIUrl":"https://doi.org/10.1109/JMASS.2025.3554688","url":null,"abstract":"Objectives: Long-term deformation monitoring for highway network constructed in soft soil areas is essential. The plastic creep characteristic plays an important role in soft soil deformation. However, it has been neglected in most traditional InSAR time-series deformation models. To address this limitation, a joint modeling and deformation estimation method is proposed for highway networks in soft soil areas. Technology or Method: The processing of deformation modeling and parameter estimation are performed separately for subgrades and bridges. For the roadbed objects constructed in soft soil areas, a nonlinear visco-plastic body periodical precipitation (NVPBPP) model, which combines the Nonlinear Visco-plastic Body model with periodical and precipitation models to consider the plastic creep effects on temporal deformation for soft soil clay areas; for the bridge region, a thermal expansion linear (TEL) model and the traditional linear velocity model are incorporated, which characterizes the thermal expansion properties for bridge material. Results: The experiment is conducted on a highway network including roads and three bridges in a soft soil area in Beijing. The time series settlement from 22 January 2012 to 6 February 2015 is generated, with the maximum cumulative settlement estimated as 135 mm. The modeling accuracy of the NVPBPP model is estimated as ±6.5 mm, with 61.3% improvement compared to the traditional InSAR linear rate model; The external deformation cross-validation shows that our work has a high correlation coefficient of 0.97 with existed published results. Clinical or Biological Impact: Our method can provide data support and a reference for monitoring long-term health and ensuring transportation safety especially in poor soil regions.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 3","pages":"274-285"},"PeriodicalIF":2.1,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decoupling Representation Learning for Remote Sensing Semantic Segmentation 遥感语义分割的解耦表示学习

IF 2.1

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2025-03-14 DOI: 10.1109/JMASS.2025.3551430

Yun He;LinJuan Li;Gang Xie;Haoxue Zhang;Feng Chen;Sida Liu

{"title":"Decoupling Representation Learning for Remote Sensing Semantic Segmentation","authors":"Yun He;LinJuan Li;Gang Xie;Haoxue Zhang;Feng Chen;Sida Liu","doi":"10.1109/JMASS.2025.3551430","DOIUrl":"https://doi.org/10.1109/JMASS.2025.3551430","url":null,"abstract":"Semantic segmentation plays a pivotal role in the interpretation of remote sensing entities. However, the complexity of the environments, diversity of objects, and richness of details make semantic segmentation even more challenging. Existing methods have limitations in interclass edge continuity and intraclass completeness within segmentation results. To address these issues, a feature decoupling guided Network is developed for learning the discriminative representation. In which the feature decoupling module separates encoded features into homogeneous information for primary object features and distinct information for object boundaries. Another, the semantic-aware integration unit is employed to strengthen semantic consistency during decomposition. To facilitate practical application, we created the Taiyuan Land Cover (TYLC) dataset for semantic segmentation to analyze land resource utilization. Extensive experiments on the TYLC dataset achieved a mean intersection over the union of 54.2%, the mean <inline-formula> <tex-math>$F_{1}$ </tex-math></inline-formula> score of 67.7%, and the mean recall of 66.6%. Quantitative results demonstrate the algorithm’s superiority, and visualizations indicate that the segmentation output has excellent completeness and edge continuity.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"6 3","pages":"262-273"},"PeriodicalIF":2.1,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144891275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0