Review
Physics, Multidisciplinary
Zhihao Xue, Zukun Lu, Zhibin Xiao, Jie Song, Shaojie Ni
Summary: This paper introduces the impact of multipath signals on the positioning accuracy of the global navigation satellite system and summarizes the existing multipath mitigation technology, while prospecting the future development direction.
FRONTIERS IN PHYSICS
(2022)
Article
Physics, Multidisciplinary
M. Yu. Reushev, V. G. Podoprigora, D. S. Makarov, D. V. Kharlamov, E. V. Vasiliev
Summary: This paper studies parameters of the snow-ice cover and forest ground using the integrated approach based on global navigation satellite system reflectometry. The results show that by analyzing the amplitude and time response of satellite navigation signals, along with numerical simulation and local weather data, it is possible to evaluate the current state and predict the dynamic development of these layers.
RUSSIAN PHYSICS JOURNAL
(2023)
Article
Geochemistry & Geophysics
Mohammad M. Al-Khaldi, Joel T. Johnson, Scott Gleason, Eric Loria, Andrew J. O'Brien, Yuchan Yi
Summary: An algorithm for detecting coherence in CYGNSS mission delay-Doppler maps is presented, using estimates of power spread within the maps to flag coherence. Application of the algorithm to a large dataset shows that approximately 8.9% of inland returns are coherent, mostly associated with the presence of water bodies.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Computer Science, Information Systems
Minhuck Park, Beomju Shin, Jin-Hee Han, Hak-Du Kim, Changdon Kee
Summary: This paper introduces a method using GNSS interference signals to protect against unintentional drones over a wide area. The algorithm adjusts the time offset of the signal generator to scan a wider measurement domain. Results show that the defensive signals can deceive multiple drones to the center of the sweep region.
Article
Optics
John d. Downie, Petr Sterlingov, Jason Hurley, Xin Chen, Hector De Pedro, David Seddon, Denise Packard
Summary: This study investigates the potential application of G.654.C optical fiber for O-band transmission in the wavelength range of 1270 nm to 1330 nm. Fiber samples at the upper end of the cable cutoff manufacturing distribution are used for modeling and experimentation. The results suggest that multipath interference (MPI) generation in bend conditions representative of cable deployment has minimal to negligible impact on transmission. Transmission experiments at 100 Gb/s and 400 Gb/s using commercial IMDD transceivers demonstrate longer transmission with increased power margin compared to standard G.652 fiber, thanks to lower O-band attenuation and no adverse impacts from MPI.
Article
Chemistry, Analytical
Jinjie Yao, Changchun Zhao, Jiansheng Bai, Yang Ren, Yangyang Wang, Jing Miao
Summary: This paper proposes a DOA estimation algorithm for satellite interference sources based on frequency domain covariance matrix reconstruction (FDCMR) to address various types of active interference that may occur in the satellite navigation positioning process. The algorithm can estimate the DOA of coherent signals from multiple frequency points under low SNR conditions. Simulation experiments and comparisons with other algorithms validate the effectiveness and applicability of the proposed algorithm.
Article
Engineering, Aerospace
Yang Li, Xihua Zou, Bin Luo, Wei Pan, Lianshan Yan, Ronglei Kang
Summary: This article examines the ambiguity resolution (AR) problem of baseline estimation using GNSS carrier phase measurements from an array signal processing perspective. A new array-geometry-aided AR approach is proposed and its effectiveness is verified through numerical simulations.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Geochemistry & Geophysics
Cemali Altuntas, Nursu Tunalioglu
Summary: The multipath effect in GNSS can be extracted using GNSS interferometric reflectometry (GNSS-IR) to obtain environment-related features. However, traditional GNSS-IR methods have limitations in retrieving environmental features. To address this, we proposed an improved method that searches for the proper satellite elevation angle range to improve snow-depth retrievals.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Xiaoxu Liu, Weihua Bai, Guangyuan Tan, Feixiong Huang, Junming Xia, Cong Yin, Yueqiang Sun, Qifei Du, Xiangguang Meng, Congliang Liu, Peng Hu
Summary: This article introduces a hybrid deep neural network model based on deep learning for wind speed retrieval using global navigation satellite system reflectometry (GNSS-R) technology. A bias correction method based on cumulative distribution function (CDF) matching is also introduced. The verification shows that the retrieval accuracy of the model is improved at high wind speeds and demonstrates the ability to effectively mitigate retrieval bias on a global scale.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Sai Xu, Jiajia Liu, Yurui Cao, Jingyi Li, Yanning Zhang
Summary: This paper proposes an intelligent reflecting surface (IRS) empowered secure cooperative transmission strategy for satellite-terrestrial integrated networks, which can significantly reduce the target SINR at the eavesdropper, achieving a great secrecy gain.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Geochemistry & Geophysics
Xiaohui Li, Jingsong Yang, Jiuke Wang, Feixiong Huang, He Fang, Guoqi Han, Qingmei Xiao, Weiqiang Li
Summary: This study proposes a method for wind speed retrieval using a random forest algorithm for Cyclone Global Navigation Satellite System (CYGNSS) data. By comparing CYGNSS data with soil moisture active passive (SMAP) data, certain deviations were found in the CYGNSS young sea, limited fetch (YSLF) data product for high winds. The random forest model was trained using SMAP as the ground truth and applied to the wind speed retrieval of CYGNSS data. Experimental results showed that the random forest algorithm improved retrieval accuracy and eliminated noise in the CYGNSS YSLF wind speed data. The study also investigated the impact of different input parameter combinations and found that an 11-parameter model achieved optimal performance. This provides valuable reference for rapid near-real-time retrieval of tropical cyclones using CYGNSS.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Wei Liu, Yuan Hu, Tsung-Hsuan Hsieh, Jiansen Zhao, Shengzheng Wang
Summary: This paper introduces a new GNSS signal design called Quinary Offset Carrier modulation (QOC) which offers different pulse waveform options through selecting different modulation parameters. The spectra and autocorrelation characteristics of QOC modulations are investigated, showing similar performance to traditional BOC modulation. QOC modulation provides a new option for satellite navigation signal design.
IEICE TRANSACTIONS ON COMMUNICATIONS
(2021)
Review
Environmental Sciences
Xiao Chen, Ruidan Luo, Ting Liu, Hong Yuan, Haitao Wu
Summary: As the satellite navigation system, GNSS, is widely used, the vulnerability to spoofing attacks is increasing, posing a threat to the credibility of navigation, positioning, and timing (PNT) services. Satellite navigation signal authentication technology is an emerging means to improve signal anti-spoofing and an important research focus. China plans to develop the next-generation BDS with secure and credible PNT services. This paper discusses the principles, technical architecture, and development history of satellite navigation signal authentication, and proposes a BDS authentication service system architecture to support its future development.
Article
Geochemistry & Geophysics
Nazi Wang, Tianhe Xu, Fan Gao, Yunqiao He, Xinyue Meng, Lili Jing, Baojiao Ning
Summary: In this study, a new method for sea-level estimation using signal strength indicator (SSI) data in GNSS observation files was proposed. It was found that the proposed method could accurately estimate sea levels with a precision similar to the traditional SNR method. Additionally, the sea-level results derived from the proposed method were applied to estimate ocean tides, and the coefficients for several main tides showed good agreement when determined by different data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
James D. Campbell, Ruzbeh Akbar, Alexandra Bringer, Davide Comite, Laura Dente, Scott T. Gleason, Leila Guerriero, Erik Hodges, Joel T. Johnson, Seung-Bum Kim, Amer Melebari, Nazzareno Pierdicca, Christopher S. Ruf, Leung Tsang, Tianlin Wang, Haokui Xu, Jiyue Zhu, Mahta Moghaddam
Summary: This study compares three different electromagnetic scattering models for GNSS-R and finds that these models have a certain level of agreement with CYGNSS data in terms of reflectivity and DDM structure. However, the models show slight deviations in elevation and smoothness, indicating a need for further improvement.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
