Detection of buried objects using reflected GNSS signals

被引:0
|
作者
Riccardo Notarpietro
Salvatore De Mattia
Maurizio Campanella
Yuekun Pei
Patrizia Savi
机构
[1] Politecnico di Torino,Electronic and Telecommunication Dept. (DET)
关键词
GNSS reflectometry; Software-defined radio; Signal to noise ratio;
D O I
暂无
中图分类号
学科分类号
摘要
The use of reflected Global Navigation Satellite System (GNSS) signals for sensing the Earth has been growing rapidly in recent years. This technique is founded on the basic principle of detecting GNSS signals after they have been reflected off the Earth's surface and using them to determine the properties of the reflecting surface remotely. This is the so-called GNSS reflectometry (GNSS-R) technique. In this paper, a new application regarding the detection of metallic buried objects is analyzed and it is validated through several experimental campaigns. Although the penetration depth of GNSS signals into the ground is not optimal and depends on the soil moisture, GNSS signals can likely interact approximately with the first 10 cm of the ground and therefore can be reflected back by any metallic object buried on the first terrain layer. A very light and low-cost GNSS receiver prototype based on a software-defined radio approach was developed. This receiver can be used as a payload on board small drones or unmanned aerial systems to detect metallic objects (mines or other explosive devices). A signal processing tool based on an open-loop GNSS signal acquisition strategy was developed. The results of two experiments which show the possibility of using GNSS-R signals to detect buried metallic objects and to provide an estimate of their dimensions are discussed.
引用
收藏
相关论文
共 50 条
  • [31] DETECTION OF SHALLOWLY BURIED OBJECTS
    LENTZ, RR
    ELECTRONICS LETTERS, 1976, 12 (22) : 594 - 595
  • [32] Detection of Objects on LEO Using Signals of Opportunity
    Mieczkowska, Dorota
    Wojcicki, Jakub
    Szewczak, Patrycja
    Kubel-Grabau, Marek
    Zaborowska, Martyna
    Zielinska, Urszula
    Kopycinski, Jakub
    Wozniak, Paulina
    Borucka, Agnieszka
    Moryc, Gabriela
    Rzesa, Wioleta
    Majerski, Bartlomiej
    Szabo, Viktor
    2017 SIGNAL PROCESSING SYMPOSIUM (SPSYMPO), 2017,
  • [33] Remote Sensing of Precipitation Using Reflected GNSS Signals: Response Analysis of Polarimetric Observations
    Asgarimehr, Milad
    Hoseini, Mostafa
    Semmling, Maximilian
    Ramatschi, Markus
    Camps, Adriano
    Nahavandchi, Hossein
    Haas, Rudiger
    Wickert, Jens
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [34] Buried objects localization in presence of correlated signals
    Saidi, Zineb
    Bourennane, Salah
    2005 IEEE/SP 13th Workshop on Statistical Signal Processing (SSP), Vols 1 and 2, 2005, : 879 - 884
  • [35] Characterization of dry-snow sub-structure using GNSS reflected signals
    Cardellach, Estel
    Fabra, Fran
    Rius, Antonio
    Pettinato, Simone
    D'Addio, Salvatore
    REMOTE SENSING OF ENVIRONMENT, 2012, 124 : 122 - 134
  • [36] A Coherent TBD Algorithm for Remote Sensing of Weak Targets Using GNSS Reflected Signals
    Zhang, Ce
    Shi, Shuzhu
    Gong, Jianya
    Li, Rui
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 11485 - 11502
  • [37] Testing of gnss receivers of space objects in earth conditions and the implementation of spoofing using simulator of GNSS signals
    Anh N.X.
    Laush A.G.
    Khomenko Yu.
    Lutsenko V.I.
    Lutsenko I.V.
    Popov I.V.
    Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), 2020, 79 (20): : 1773 - 1783
  • [38] Detection and location of buried objects using active thermal sensing
    Poulain, DE
    Schaub, SA
    Alexander, DR
    Krause, JK
    DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS III, PTS 1 AND 2, 1998, 3392 : 861 - 866
  • [39] Sea surface slopes' PDF from GNSS reflected signals
    Cardellach, Estel
    Rius, Antonio
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1342 - 1345
  • [40] A Statistical Model and Simulator for Ocean-Reflected GNSS Signals
    Garrison, James L.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (10): : 6007 - 6019