Results 21 to 30 of about 1,023 (184)
Space Weather, Volume 21, Issue 6, June 2023., 2023 Abstract This manuscript presents the analysis of data from multiple ground‐ and space‐based sensors in the North American region before, during, and after the 12 October 2021 geomagnetic storm. Total electron content (TEC) and electron density data show the formation and equatorward propagation of a mid‐latitude trough at ∼50°N followed by the ...
J. F. Helmboldt
wiley +1 more source
IET Signal Processing, Volume 17, Issue 2, February 2023., 2023 The prior information carried by the known waveform of the reference signal to reduce the negative impact of random noise is exploited, and a coherent and an incoherent method is proposed to estimate the TDOA and FDOA parameters between two moving receivers.
Yan Liu, Yi Zhu, Yuan Zhang, Fucheng Guo
wiley +1 more source
IET Signal Processing, Volume 16, Issue 8, Page 1002-1010, October 2022., 2022 Abstract Multidimensional scaling (MDS) is an attractive technique for a moving source localisation from time and frequency difference of arrival (time differences of arrival (TDOA)/frequency differences of arrival (FDOA)) measurements. However, its optimality has not yet been proven theoretically because of the difficult Moore–Penrose pesudo‐inverse ...
He‐Wen Wei, Fei Wen, Jian Cheng
wiley +1 more source
Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
IET Radar, Sonar & Navigation, 2021 This study addresses a signal processing technique in a search and rescue system. An international disaster rescue communications support programme such as COSPAS‐ search and rescue satellite‐aided tracking (SARSAT) estimates the position of a beacon ...
Jung‐Hoon Lee +3 more
doaj +1 more source
Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration
Electronics, 2023 Passive localization relies significantly on the estimation of the Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) to accurately determine the location of a target. The precision of TDOA and FDOA estimation is affected by signal parameters of time and frequency distribution.
Xinxin Ouyang, Shanfeng Yao, Qun Wan
openaire +1 more source
Dual-Satellite Source Geolocation with Time and Frequency Offsets and Satellite Location Errors [PDF]
, 2017 This paper considers locating a static source on Earth using the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements obtained by a dual-satellite geolocation system.
Liu, C., Mihaylova, L.S., Yang, L.
core +1 more source
A deep learning algorithm for joint direct tracking and classification of manoeuvring sources
IET Radar, Sonar &Navigation, Volume 16, Issue 7, Page 1198-1211, July 2022., 2022 Abstract The remarkable success of deep learning technologies has provided new ideas for solving complex tracking problems. It is difficult for traditional algorithms to directly estimate the trajectory vector and target class from the received signal due to the limitation of modelling ability, which causes inevitable information loss.
Wanting Yu +4 more
wiley +1 more source
Optimal Sensor Deployment and Velocity Configuration With Hybrid TDOA and FDOA Measurements
IEEE Access, 2019 Source localization based on the hybrid time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements from distributed sensors is an essential problem in wireless sensor networks (WSNs).
Weijia Wang +4 more
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Gauss Hermite
IEEE Access, 2020 The precision geolocation and target tracking problem has been addressed in this paper using High-Degree Non-linear Filtering based on hybrid Time Difference of Arrival (TDOA), Frequency Difference of Arrival (FDOA) measurements using Low Earth Orbit ...
Abulasad Elgamoudi +3 more
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Using heterogeneous satellites for passive detection of moving aerial target [PDF]
, 2020 Passive detection of a moving aerial target is critical for intelligent surveillance. Its implementation can use signals transmitted from satellites. Nowadays, various types of satellites co-exist which can be used for passive detection.
Chen, Yunfei +5 more
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